What are AI Overviews?

AI has been integral to Google’s ecosystem for over a decade. More recently, with the proliferation of generative AI, Google is integrating this innovative technology into multiple products across its product line. In search, in the second half of 2023 Google embarked on a year-long experiment in labs called Search Generative Experiences (SGE). During that time Google tested and learned how generative AI could be most effective for search. We monitored that activity with BrightEdge Generative Parser™ (BGP) which we published in our Ultimate Guide to Google SGE.

On May 14th 2024, Google announced that Search Generative Experiences (SGE) would become AI Overviews (AIO) and start appearing for users outside of labs. AI Overviews are built on the same Google Gemini AI Language Model as SGE, and BGP can track their presence just as it did with SGE. AI Overviews are available to US users who are logged in to Google, regardless of whether they’ve enrolled in Google Labs. However, as of this writing, they are still not available to non-logged-in users. This development represents a significant step forward for AI-powered search and has major implications for search engine optimization (SEO). Now, SEO must account for traditional organic search results as well as the citations that AI Overviews use to answer questions.

At BrightEdge, our mission is to help marketers understand how these innovations from search engines will impact how they connect with their customers. This guide serves as your resource for AI Overviews, equipping you with the knowledge to understand how generative AI technology affects how your audience interacts with digital content.

How do AI Overviews appear?

Presently, AI Overviews are limited to the US and appear for users who are logged into Google. However, Google has confirmed it is showing AI Overviews to users who are not logged in during small tests.
AI Overviews consist of short paragraphs, bulleted lists, images, and product carousels that Google generates using Generative AI to add context and summarize search results. They appear at the top of the search results, below most paid and above organic listings. To date, AI Overviews appear in a collapsed state, requiring the user to click to read the full content:

When the user clicks "Show More", they are taken to an experience where different modules provide greater detail on the answer. Citations for where the AI Overview obtained the information to compose its content are also shown throughout the experience. In this case, we see that TYR, RunRepeat and the American Academy of Podiatric Sports are cited to for the Generative AI’s content:

The degree to which AI Overviews appear for a user can be controlled (although not entirely turned off) in the Labs section of Google. By enabling AI Overviews, it will deliver fuller, more comprehensive answers like the one above. Google has confirmed that turning this feature off will not eliminate AI Overviews from the experience entirely.

For users in the US who are logged in, AI Overviews are currently appearing in less than 15% of all queries. For marketers who need to understand how AI Overviews are appearing for their keywords, it is important to ensure you’ve enabled these results in Google Labs to see the most comprehensive version that your audience may see. Based on Google’s deployment, it is also crucial to identify which keywords are most likely to trigger an AIO.

The presence of AI Overviews varies based on the industry. Data suggests this correlation is largely due to the nature of the industry. For example, in healthcare or B2B technology, where queries are more informational in nature, there is a significant difference in presence compared to industries like restaurants or travel, where user behavior is more transactional (booking reservations, finding addresses, calling the restaurant). This observation holds in other industries as well, except for finance, where Google is not deploying AI Overviews frequently.

When do AI Overviews (AIO) Appear?

AI Overviews are largely appearing for informational queries. Fortunately for marketers, there are signals from traditional search features that can be used as a proxy to estimate where an AIO is likely to appear. According to BrightEdge Generative Parser™, there are correlations between SERP features and the presence of AIO.

As displayed here, featured snippets have the strongest correlation with the presence of an AI Overview. This makes sense because featured snippets mostly appear for informational queries. Conversely, certain navigational and transactional elements have a negative correlation with the presence of AI Overviews. Local 3 Packs, which are deployed for local transactional searches, have a negative correlation with the presence of AI Overviews.

In addition, we see that the presence of sitelinks, which typically indicate that the intent in the query is navigational or a branded term, which is an area where Google is working to reduce the potential for a hallucination.

For marketers who need to detect where AI Overviews could be appearing for their keywords, it will be essential to track the elements in a traditional result that correlate with the presence of an AI Overview. To do this, advanced capabilities such as Data Cube X in BrightEdge allow users to filter results by specific search features and leverage exact match volumes, so marketers can differentiate how long-tail queries, misspellings, and plural/singular versions of keywords may elicit different results.

To begin sensing where AI Overviews will appear, BrightEdge customers should use Data Cube X and filter keywords that contain the following features:

• Featured Snippets
• Questions
• Videos
• Images

SEO Action Items for When AI Overviews Appear:

1. Identify Query Intent: Keywords that are informational are more likely to feature an AI Overview than transactional or navigational queries. Use filtering to identify the questions and top-of-funnel keywords related to your brand.
2. Leverage Traditional Search Features to Pinpoint Where AIO Occurs: BrightEdge users can create keyword groups to track where featured snippets are appearing in search results. These should be monitored and targeted for optimization.
3. Create Content that Addresses the Questions AI Anticipates: Given that AI Overviews are appearing for informational queries and anticipate follow-up questions, marketers need to build content with this framework when targeting keywords where an AI Overview is likely to appear. To do this, content briefs need to address questions related to the keyword or topic being targeted. BrightEdge users can leverage Copilot for Content Advisor to do this faster. It identifies related questions to the topic, scans content currently ranking, and creates briefs and first drafts that address the topics needed to appear in both traditional ranking and AI Overview citations.

How are AI Overviews formatted?

Within the various states of AI Overviews, a range of content modules are deployed and tailored to match the user's search intent. These content modules, while diverse in their specific applications, exhibit shared structural characteristics, adapting to the unique nature of each search query.

In describing and categorizing these content modules, we have adhered to the terminologies and descriptions provided by Google, ensuring accuracy and consistency in our analysis. This approach helps delineate how AIO tailors its responses to different search intents, providing valuable insights into the operational mechanics of AIO and its impact on search results.

Unordered Lists

Unordered Lists are utilized in two distinct styles, each serving a specific purpose in presenting information:

Style 1- Standard Bullet Point List: This style is straightforward, featuring a series of bullet points. It is used to present information in a simple, easy-to-scan format, ideal for quick comprehension by users. This format is particularly effective for listing features, benefits, or various options related to a search query.

Style 2- Enhanced List with Breakouts: This style includes additional elements such as expanded descriptions or interactive features within the list. It's designed to provide more detailed information and encourage user interaction. This format is suitable for queries where users might benefit from more comprehensive details or where engagement with the content is crucial.

In addition to unordered lists, ordered lists play a small role in AI Overviews appearing across a wide array of informational queries and spanning various industry types. The manner in which these lists are rendered is closely tied to the specific content they are associated with, reflecting the diversity and adaptability of AIO in presenting structured information.

Key SEO Considerations for Optimizing Unordered and Ordered Lists:

• Utilize Lists in Product Descriptions: When feasible, incorporate  lists into product descriptions. This structured format not only enhances readability but also aligns with AIO’s preference for well-organized content, potentially improving the visibility of your products in search results.
• Craft Concise, Informative Descriptions: Aim to provide succinct yet comprehensive product descriptions. Quality descriptions serve as valuable source material for AIO, enabling it to accurately reflect your products’ features and benefits in its search results.
• Highlight Key Product Features: Pay attention to the characteristics typically used in AIO's ordered lists, such as product specifications, statistics, or unique selling points. Ensuring these elements are clearly presented in your content can aid AI Overviews in accurately representing your products, enhancing their appeal to potential customers.
• Ensure Perks Related to Products Are Marked Up: Perks such as free delivery and stock status should be marked up and present on the product pages. Unordered breakout lists will be offering a deeper shopping experience where users can compare different vendors and their current offers without leaving the search result page.

Product Viewers:

To aid shoppers in understanding different products, AI Overviews offers a couple variations of product viewers which orient the products to what the AI recommends. Based on the type of search, there are a few ways products can be presented in AI Overviews

Standard Product Viewer

A standard product viewer offers multiple images of products with pricing and other pertinent details that align to the query intent

Product Carousels

Product carousels offer less images per product but more shopping detail such as pricing and reviews. These occupy more real estate on a search result page as they offer more products but help the user shop through a wider variety of products.

SEO Implications for Product Viewer Modules:

• Optimize for Trend Relevance: Align your category pages with current trends to increase the likelihood of inclusion in AIO's dynamic displays.
• Incorporate Product Reviews: Facilitate and showcase product reviews on your site to enhance credibility and appeal.
• Category Optimization for AIO Groupings: Adapt your categories to align with AIO's grouping logic, ensuring relevance and visibility.
• Present Clear Pricing Information: Use schema markup to highlight pricing details, enhancing clarity and searchability.
• Monitor Keyword Performance: Keep a close eye on how your key revenue-driving product keywords are performing in AIO results, adapting your strategy in real-time to changes in AIO's presentation formats.

Baseline AI Overview Components

AI Overviews, regardless of the specific state or module in use, incorporates a set of standard features in its results. These features are consistent across various queries and provide a structured approach to presenting information.

Answer Box:

• Positioned at the top of the search result.
• The content within this box is AI-generated and tailored to the query. It may include text and, in some cases, graphics.
• The sources for the information are accessible by clicking on a chevron icon within the box.
• Google includes a disclaimer regarding the potential variability in information quality.

Source Panel:

• Located to the right of, or just below the Answer Box.
• Displays the primary sources (up to three initially visible, with ten available upon scrolling) that the AIO uses for generating the Answer Box and other components, such as ordered lists.
• The sources for the information are accessible by clicking on a chevron icon within the box.

Special Cases

As Google progresses in refining AI Overviews, specialized modules are appearing for small sets of queries. Specific elements, tailored to distinct query types, are being introduced. These elements are designed to either integrate cohesively with or complement the existing search modules.

Pro/Con 

For a small number of queries, we detect pro/con boxes that are unordered lists that weigh pros and cons of products.

Combined Shopping Offer Cards

For certain e-commerce queries, BrightEdge Generative Parser™ detects shopper offer cars which offer pricing, as well as offers such as free delivery in a compact view. While it remains uncertain if these are sourced from the Schema "offer" tag, it's evident that signals aligning with what the offer card displays could enhance the likelihood of appearing in these results:

Hero Images

Currently, when activated, these elements consistently appear at the bottom of the answer box. Notably, all images appear to be sourced. To enhance eligibility for display in these sections, it is crucial to ensure that images are optimized with relevant tags and are optimally compressed. This strategy underscores the importance of image optimization in facilitating effective and relevant search result displays:

YouTube Embeds

AI Overviews often display YouTube videos as citations for instructional queries. These videos frequently start at specific timestamps where the relevant content begins. BrightEdge Generative Parser™ has observed this timestamp functionality working with and without embedded transcripts, suggesting the AI truly processes video content directly. Marketers creating tutorial content for potential citations should host videos on YouTube, as this appears to be the only video source used.

How do AI Overviews (AIO) overlap with traditional results

AI Overviews are designed to provide additional context to queries that users may find helpful. As a result, many of the citations used by AI Overviews are different from those that rank in traditional results. This is because AI Overviews aim to answer the next question a user might have after their initial query, without prompting the user to ask that second question.

Across all keywords, we see that the URLs cited in AI Overviews are not ranking in traditional results 66% of the time.

The focus on content that isn’t currently ranking is a result of Google focusing on making AI Overviews as helpful as possible. Instead of simply repeating the information users could find within the rankings, the AI Overview anticipates the next question users would have and cites content that likely wouldn’t fit the immediate keyword ranking.

For marketers, this presents an opportunity to address multiple questions with multiple URLs in a single search result.

What Domains Are Sourced the Most?

As indicated, we are seeing our data skew to healthcare. Despite concerns about citation trustworthiness in the news, at the macro level, the share of citations supports the notion that the more trusted and authoritative the website is, the more likely it is to be cited.

Within each industry, the websites cited to support AI Overviews also vary. We also see that within industries, there are leaders that occupy a greater share of citations than others.

E-Commerce

• E-commerce features a wider dispersion of citations than other categories, with the leader having 27% of the citations (the average is 35%).
• Cited sources are a combination of retailers and publishers, which coincides with the modules used in AI Overviews (editorial content as well as product modules).
• For marketers, it is important to understand the query intent (and optimize for the modules that are likely to appear) as well as what questions the AI Overview will anticipate the user will have.

Rank Overlap for E-Commerce

• E-commerce queries are close to what we see in industries as a whole, where roughly 75% of citations are not ranking in traditional results.
• Many of the AI Overviews in e-commerce include multiple modules (a paragraph as well as a product carousel), which provides more opportunities for a wider range of websites to rank.
• For marketers targeting e-commerce, where an AI Overview is likely to appear for 23% of queries, it is important to understand both the transactional aspect of the overview (the product carousel) and the informational element, and build a content strategy to target both.

​B2B Technology

• Techtarget features a large resource library in multiple formats specific to B2B technology.
• The distribution of share of citations in B2B Tech is similar to what we see at the macro level.
• There is a combination of Fortune 500 and industry-specific sites that occupy the most citations, suggesting marketers representing sites of all sizes have an opportunity to be cited.

B2B Rank Overlap

• In B2B Tech, 20% of page 1 rankings are used in the AIO, which is greater than the average.
• For marketers targeting B2B technology queries, blogs and long-form content that can help answer adjacent questions related to the query could help ensure domains can win in both AI citations and traditional rankings.

Education

• Citations in AIO for education are led by a site dedicated to jobs, which may indicate that AI infers more about careers for educational queries than registering for classes.
• A range of authoritative .edu sites are cited heavily. Education features an AI Overview 14% of the time, which is slightly above average.
• LinkedIn has a share of citations, indicating that user-generated content could be effective here.

Education Rank Overlap

• Education AI Overviews have less than average overlap, with more than 90% of citations not ranking in traditional results.
• The presence of sites like Indeed suggests that AI Overviews infer the second and third searches a user might make in education, necessitating different citations.
• For marketers in education, social content (e.g., LinkedIn) and editorial content that focuses on additional questions should be integral to content strategies to win in AI Overviews.

Entertainment

• Entertainment draws on a variety of resources from trusted authoritative sites such as IMDB to reddit and medium which feature user generated content.
• Entertainment as a category has an AI Overview on approximately 14% of keywords tracked in BrightEdge Generative Parser™
• For marketers targeting entertainment, ensure informational content features schema markup that could help AI understand where content could be used in formats such as unordered lists.

Rank overlap for Entertainment

• Less than 10% of AI Overviews for entertainment are cited by a ranking in the top 10.
• Based on keyword analysis, it was discovered that when keywords feature "best," the likelihood of an AI Overview increases by 40%.
• For marketers in entertainment, monitor queries that include "best" and any that have featured snippets. These queries are far less likely to rank a page already ranking in organic results than other queries.

Finance

• Finance queries are similar to what we expect to see in traditional ranking results, which aligns with the higher trust required for YMYL (Your Money or Your Life) queries.
• The distribution is slightly more concentrated than the average, with Investopedia winning 42% of citations (the overall average for the top position is 35%).
• For marketers targeting finance queries, E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) is essential, and associations with leading finance sites, as mentioned above, should help reinforce trust in your site.

Rank overlap for Finance

• We see a trend similar to the overall benchmarks where 84% of queries do not rank in the top 10. Despite this, many of the top-cited websites are also ranking highly in traditional search, suggesting that AI Overviews may look to answer the next question but still focus on content from similar sites.
• Overall, Finance is a low AI Overview category, with only 5% of keywords showing an AI Overview.
• For marketers targeting Finance, continue to flag keywords where featured snippets are appearing, build relationships with the top sourced sites, and focus on the second and third questions that a user may have after their initial query.

Healthcare

• Healthcare is the industry where the most AI Overview deployments take place. Presently, 63% of healthcare queries have an AI Overview. This data is current as of 6/12/2024. Contrary to reports about AI Overviews relying on untrustworthy sources, the data shows that the websites cited for AI Overviews are very authoritative.
• We see almost double the concentration of citations for healthcare sites compared to the average. NIH.gov has 60% of the share of citations for healthcare (across all industries, the top domain is 35%).
• For marketers in healthcare, expect AI Overviews to appear for informational queries. Identify areas where you can partner with trusted sites and focus on the second and third questions related to queries that have a featured snippet.

Rank Overlap for Healthcare

• We see the greatest concentration of page 1 rankings for healthcare, with 30% of cited URLs also ranking on page 1.
• The uptick in pages not ranking for the result suggests AI Overviews are going further to answer the second and third question
• For marketers in healthcare, the data suggests traditional rankings are important indicators for the likelihood of appearing in AI Overviews. Once this is achieved, focus on the related questions about the topic to ensure content is cited.

Insurance

• AI Overviews appear for 18% of insurance queries. Based on the share of citations, it appears to be treated similarly to YMYL (Your Money or Your Life) with a set of trusted sites holding the largest shares (nearly half of AIO citations are from dol.gov).
• Despite this, there do appear to be opportunities for smaller sites to build citations (e.g., wearedevelopers.com, timechamp.io).
• For marketers, regardless of the site size, watch where Featured Snippets are appearing and build answers to questions around the keyword in your content.

Rank Overlap for Insurance

• Insurance is trending slightly higher than the average where we are seeing only 75% of results not ranking in traditional organic rankings
• For marketers, insurance underscores the importance of topic clusters where your primary ranking page can target a keyword, but then secondary pages can focus on the second and third questions a user may ask that AI Overviews will anticipate.

How do AI Overviews (AIO) Differ from Search Generative Experiences (SGE)?

AI Overviews are the refinement of a series of tests and deployments that Google conducted for nearly a year with Search Generative Experiences. As a result of these tests, there are refined conditions that have strategic implications.

AI Overviews do not offer follow up questions

With SGE, Google prompted users to ask a followup which would initiate a conversation with the AI:

AI Overviews have scaled back this functionality, which may indicate that Google does not want to cannibalize engagement from the rest of the search result page.

Today, AI Overviews are appearing in significantly fewer queries, implying that Google has fine-tuned where AI Overviews are most helpful, thus reducing the need for follow-ups. Additionally, many anticipated questions are addressed directly in the AI Overview, negating the need for user prompts. For example, in the query “what are training shoes,” the AIO anticipates a question about the differences between training shoes and running shoes and answers it immediately, without requiring further interaction from the user. It also cites sources for answers to anticipated questions.

AI Overviews are 20% Smaller

Across the board, due to changes in how modules are presented and how content is consolidated, AI Overviews take up less space on the screen than SGE did. This means that other aspects of the search result page, such as traditional organic results and sponsored ads, are less likely to be crowded out when they appear. On average, the BrightEdge Generative Parser™ has detected that these are 20% smaller than their SGE counterparts. The difference in screen real estate is noticeable.

For marketers, this means that AI Overviews are less likely to diminish clicks from other elements of the search result page. However, it also means that citations and the opportunity to gain real estate within the AIO for a keyword are likely to be more competitive, as there is less space to compete in.

While SGE allowed users to respond with a vote on whether they liked a result or not, AI Overviews allow users to provide specific feedback on the result to help Google fine-tune it. This is a particularly important feature as the AI Overview rollout has faced some challenges with accuracy. Additionally, it gives marketers an opportunity to report inaccuracies on their own branded queries. For example, if a query contained inaccurate information about Macs, the digital marketer could provide that feedback directly to Google.

For marketers, this is an opportunity to include brand accuracy into workflows. Monitor brand queries for the presence of AI Overviews and use the Feedback Module to address any inaccuracies or editorial content that isn’t accurate.

AI Overviews are using more space efficient modules to display products

Ecommerce is a category where AI Overviews are appearing more frequently than on average (20% instead of 10%). Throughout the SGE testing period, the most common way to display products was through a module called a Product Viewer, which featured the product standalone with content generated by Google.

With the launch of AI overviews, these results were decline in visibility as they became more in line with carousel results:

We saw an overall decrease in the presence of product viewer formats when AI Overviews were launched, as Google reduced the overall deployment of AIO. Since that time, however, we are seeing a steady rise of carousel groups, which allow for more products to appear in less space than a product viewer.

For marketers in ecommerce, this means it is critical to ensure your product content has the appropriate schema markup and context, including reviews, images, pricing, and supplementary information such as inventory counts, so AI can present them alongside competing products.

Conclusion

A lot of the codebase and principles uncovered during the lab phase of SGE carry through to AI Overviews. However, with AI Overviews being more selective in where they appear and serving a more defined purpose, marketers need to ensure sensing and reacting to them is part of their content strategy.

With BrightEdge, marketers can leverage Data Cube X to filter on features such as Featured Snippets to pinpoint which of their keywords are likely to trigger an AI Overview. These are then integrated into a workflow to ensure they are optimized for both traditional rankings and AI Overview citations.

The data across these industries demonstrate how AI Overviews do not rely on the same ranking methods as traditional algorithms. In many cases, AI Overviews are sensing and anticipating questions that may also be asked. To build content that addresses both current and anticipated questions, marketers can leverage BrightEdge Copilot for Content Advisor. This tool uses AI to gather all the concepts and questions related to a topic to generate briefs and first drafts that will win in traditional search and be ideal for AI Overview citations.

Live Updates

9.17.2025 - AI Overview rollout reveals content hierarchy ( Google's AI Overview Rollout Reveals Clear Intent Hierarchy—Here's What Gets Coverage and What Doesn't )
9.5.2025 - AI Overviews signal greater emphasis on SEO Fundamentals ( AI Didn't Kill SEO—It Made Excellence in Fundamentals More Important Than Ever )
2.26.2025 – Local Test detected on February 12, 17 and 22 with high volume searches
2.12.2025 – 25% increase for YouTube Citations
1.29.2025 – 40% Increase in technical tutorial videos cited from YouTube
1.29.2025- 20% increase in authoritative Healthcare citations (Mayoclinic, Cleveland Clinic, John Hopkins)
1.20.2025 – New Product Viewer Module Detected
1.20.2025- Generative Parser detected 10 day local test.
1.15.2025- Significant spike in domains cited across all AIO segments
1.08.2025- Product Comparison queries with AIO’s increase by 31%
1.08.2025 –Product Viewers in AIO’s increase by 28.7%
12.31.2024- Significant Spike detected in citations from product review sites (ie Tom's Guide )
12.24.2024 – 32% of AI Overviews include more than one intent (ie family friendly restaurants with parkinh)
12.12.24- AIO’s support multiple intents for restaurant queries (ie vegetarian for large groups near me)
11.25.24 – 25% Increase in B2B Tech AI Overviews
11.25.24 – 13% increase in Healthcare AI Overviews
11.19.24 – 42% increase in kitchen appliance AI overviews
11.19.24 – 35% rise in seasonal product AIOs (ie winter coats)
11.12.24 – 22.1% shift in Ecommerce AIO Citations
10.31.24 – 1.3% increase in overall AIO Presence
10.22.24 – Day to day volatility in AIO Presence drops 42%.
10.19.24 – 5% increase in Education AI Overviews
10.18.24 – 15% Drop in E-Commerce AI Overviews. Focus is less on generic products (ie. “Smart TV”) and more on specifics (ie “Smart 4k 120hz TV”).
10.18.24 – Sudden spike in Travel AI Overviews related to “Things to Do” in locations
10.06.24 – YouTube Citations drop from spike to levels 10% over August
10.01.24- Data Cube X supports AI Overviews for September and August data
09.13.24- Significant spike YouTube citations - 200% increase
08.25.24 - BGP publishes AIO visibility data to platform. AI Overviews are visible in BrightEdge Instant and Keyword Reporting
08.22.24 - E-Commerce dramatic drop for non-logged in users. ~1% of keywords show an AIO vs. 10% for logged in
08.15.24 - AIO's begin to show for logged in and non-logged in users. BGP detects ~10% less visibility for non logged in
07.31.24 - Sharp decline in AI Overview presence, dropping to under 8% of search results
07.30.24 - Travel and Entertainment categories see AI Overviews removed entirely
07.27.24 - Significant drop in AI Overview Pixel size across all categories
07.21.24 - AI Overviews peak at 12.05% of search results
07.20.24 - Spike in Travel AI Overviews to 9.4%
07.18.24 - Significant surge in AI Overview presence begins
07.17.24 - 10% increase in Medical Warnings in AI Overviews
07.11.24 - Salary information AI Overviews increase from 7% to 85% for related queries
07.11.24 - AI Overviews for degree-related queries increase from 13% to 53%
07.7.24 - Verses Tables Increase 50%
07.3.24 - 70% decrease in standalone Product Viewers in AI Overviews
06.27.24 - Overviews drop to 7% of Keywords 06.23.24 - Significant drop in pro/con modules
06.23.24 - Product Viewers drop from 5% of keywords to 2%
06.23.24- Unordered lists appearance drop to below 20% of queries
06.22.24 - E-Commerce Keywords experience significant drop in AI Overviews
06.22.24 - 13% reduction in pixel height of AI Overviews across all categories
06.22.24 - Reduction in rank overlap from 35% to 30% for regular results
06.16.24 - Increase in rank overlap from 33% to 38% for regular results
06.16.24 - Financial warnings appear on over 1% of queries
05.27.24 - Entertainment Keywords no longer showing AI Overviews
05.25.24 - Reddit and Quora no longer cited in AI Overviews

What is SGE?

In May 2023, Google unveiled the Search Generative Experiences (SGE), an innovative AI-powered search model, currently in its beta phase and available via Search Labs. This development represents a pivotal shift in the presentation of search results, with profound implications for Search Engine Optimization (SEO). For the first time, search engines are not just organizing and presenting existing web content but are also generating new content based on their findings. The AI behind Google SGE digital marketing appears to 'formulate' perspectives on brands, current trends, and product choices for its users. 

Currently in an experimental phase with frequent updates, SGE has already broadened the capabilities within search, enabling users to:

• Pose follow-up questions
• Conduct purchases
• Receive succinct summaries of multiple results

While Google has not confirmed a specific launch date for Google SGE's broad deployment, industry speculation suggests it could be as early as 2024. The unique approach Google SGE adopts for rendering and presenting search results has considerable consequences for digital marketing reliant on organic search traffic. It is essential for businesses to stay abreast of the changing landscape in search result presentation due to SGE, as it could substantially affect their online presence and search-driven performance.

How do I access SGE?

Google SGE is accessible through Google’s Search Labs, which is in 7 languages in ~120 countries.  To see if your location and language is currently supported, check here.  To access Search Labs and SGE, you need to register in your Chrome browser.  In the upper left corner, if you are eligible, you will see a beaker icon that represents Google’s Search Labs:

From here you will be prompted to join search labs.  Simply click to Join and you will be taken to a series of experiments, including SGE, that Google is running: 

As long as you are logged in to your Google account while using Chrome, you should be able to see the SGE results when they are available.

Why is SGE Important?

SGE marks a transformative phase for Google as it integrates generative AI. Search results now go beyond mere links to websites; Google is crafting new content based on existing web information. In this landscape, digital marketers play an essential role— their content serves as a foundation for the AI's data source. With the advent of generative content, SGE introduces additional layers to search results. Google may form perceptions about brands, which can be favorable or unfavorable. It's imperative for digital marketers to comprehend the implications of SGE results and the origin of the content presented to users.

Currently, SGE is in its beta phase. However, Google has signaled intentions to launch SGE for widespread use soon. It's essential for SEO professionals and digital marketers to deeply understand how SGE influences search outcomes to adapt effectively.

Another key aspect of SGE is Google's real-time experimentation and learning. The Search Labs, which encompass SGE, offer SEO professionals and digital marketers first-hand insights into the evolution of this technology. Our guide monitors and reports updates within these labs. The 'Live Updates' section provides timely information on Google's latest test patterns and methodologies. This transparency allows the community to grasp Google's approach to deploying new technologies.

How SGE Results Appear?

The presentation of Search Generative Experiences (SGE) results to users is determined by two primary dimensions. The first of these dimensions is the state of the result, which dictates the manner in which SGE content is displayed to the user. Based on research conducted by BrightEdge, there are three principal states that characterize the presentation of SGE results:

Collapsed State: In this format, users are presented with a prominent SGE result initially in a truncated form.  Users need to actively click the "Show more" button to fully view the content.  Based on our analysis, we estimate the collapsed state is currently displayed in approximately 16% of search queries in the SGE interface. 

No SGE State: It's important to note that not all search queries trigger a Search Generative Experiences (SGE) result. In our analysis, we estimate that approximately 15% of search queries do not yield an SGE result. This indicates that while SGE is a significant development in search technology, it does not universally apply to all search queries. Understanding the types of queries that do not engage SGE can be as informative as those that do, especially for SEO strategies.

Certain trends emerge from our data analysis.  Notably, the collapsed state tends to be associated with keywords of lower search volume.  This observation is significant, as it confirms that collapsed state results do not command as much visibility in terms of overall search volume when compared to Opt-in results. 

What’s in a SGE Result?

SGE results are comprised of a series of modules. These modules are specific attributes that display the search result according to the interpreted intent of the search query. The landscape of these modules is dynamic and rapidly evolving. Between September and November of 2023, BrightEdge observed the emergence of four new modules and the disappearance of three others within SGE results. This rapid change underscores the fluid nature of SGE and the need for continuous monitoring and adaptation in SEO strategies.

Currently, the following content modules have been identified within Search Engine Results Pages (SERPs) as part of the Search Generative Experiences (SGE) framework:

• Unordered Lists: These are lists comprising various items, and they can be displayed with or without accompanying descriptions. This module organizes information in a straightforward, bulleted format.
• Ordered Lists: These are the lists that are ordered and ranked for a specific purpose. Similar to unordered lists, they are presented with and without descriptions, depending. on the nature of the keyword.
• Recipes: For queries related to cooking or food preparation, SGE renders 'recipe cards'. These cards provide concise, structured information suitable for culinary-related searches.
• Local: This module presents local search results, including maps, for queries where geographical relevance is key. It is particularly useful for searches that have a local or regional focus.
• Product Views: SGE offers diverse ways of viewing products, adapting the presentation style to suit the nature of the products being searched for. This module enhances the user experience by providing tailored views of products in search results.
• Code Block: For technology-related queries, particularly those that involve programming or coding, SGE is capable of generating 'code blocks'. These are segments of code relevant to the user's query, providing direct and practical information for tech-oriented searches.

The formats that are most prevalent in SGE results continue to evolve. In the past month, Places have become the most common content module to appear in SGE results. In December 2023, unordered lists were the most common content module.

Compare that with how results are appearing as of January 2024.

In February of 2024, we once again see that unordered lists are the predominant type of content module appearing in the SGE results.

These content modules demonstrate the versatility of SGE in catering to a wide range of search intents, offering tailored and relevant information across various domains.

For SEOs and digital marketers, the Google SGE framework introduces several critical considerations:

• Emphasize Context and Relevance: In the Google SGE landscape, the creation of content that closely aligns with user search intent and provides thorough, pertinent responses is essential. Our analysis shows that Google SGE can render up to five content modules based on a query's intent. Each content module offers a unique opportunity for your content to engage and resonate with users.
• Focus on Enhancing User Engagement: The manner in which users interact with content is increasingly important. It's imperative to craft content that not only addresses user queries but also promotes further interaction. According to our research, Google continually updates SGE by adding and removing modules, which affects user engagement points.
• Leverage Data for Strategic Planning: Google SGE exhibits a dynamic nature. In our comprehensive analysis, which covered keywords across nine distinct industries over a period of three weeks, we observed that the presentation of results exhibited a notable 21% variance. This highlights the need for a flexible and responsive approach to SEO, adapting to real-time shifts and preferences as Google evolves its SGE framework.

​The Google SGE Modules

Within the various states of Google SGE results, a range of content modules are deployed and tailored to match the user's search intent. These content modules, while diverse in their specific applications, exhibit shared structural characteristics, adapting to the unique nature of each search query.

Our analysis involved a thorough examination of the code structure across SGE results for a multitude of keywords. This scrutiny enabled us to understand the nuances and operational patterns of these modules. In describing and categorizing these content modules, we have adhered to the terminologies and descriptions provided by Google, ensuring accuracy and consistency in our analysis. This approach helps delineate how Google SGE tailors its responses to different search intents, providing valuable insights into the operational mechanics of SGE and its impact on search results.

This approach helps delineate how SGE tailors its responses to different search intents, providing valuable insights into the operational mechanics of SGE and its impact on search results.

Unordered Lists

Unordered Lists are utilized in two distinct styles, each serving a specific purpose in presenting information:

Style 1- Standard Bullet Point List: This style is straightforward, featuring a series of bullet points. It is used to present information in a simple, easy-to-scan format, ideal for quick comprehension by users. This format is particularly effective for listing features, benefits, or various options related to a search query.

Style 2- Enhanced List with Breakouts: This style includes additional elements such as expanded descriptions or interactive features within the list. It's designed to provide more detailed information and encourage user interaction. This format is suitable for queries where users might benefit from more comprehensive details or where engagement with the content is crucial.

Unordered lists with breakouts began to emerge on November 9th of 2023 and they consistently represent about 15% of the total unordered list visibility.  We see this directly correlates to a drop in general unordered lists. The unordered lists with breakouts have continued to proliferate through the new year and are trending to becoming the dominant way unordered lists are displayed in SGE results:

Unordered lists with breakouts have also seen enhancements in how they are rendered. As of January 9, 2024, unordered lists with breakouts include descriptions with citations, as well as images and reviews, when applicable:

These new lists offer additional citations for sourced material in the drop downs. Unlike a traditional shopping carousel result, these unordered breakout lists do not take the user to a website. Rather, they open a new shopping experience. The options in red all lead the user to different retailers that sell this product without leaving the SERP until the user clicks to buy:

Clicks here lead to a shopping experience within the SERP until the user is specifically ready to visit the site:

In addition to unordered lists, ordered lists play a small role in Google's Search Generative Experiences (SGE), appearing across a wide array of informational queries and spanning various industry types. The manner in which these lists are rendered is closely tied to the specific content they are associated with, reflecting the diversity and adaptability of SGE in presenting structured information.

Key SEO Considerations for Optimizing Unordered and Ordered Lists:

• Utilize Lists in Product Descriptions: When feasible, incorporate  lists into product descriptions. This structured format not only enhances readability but also aligns with SGE's preference for well-organized content, potentially improving the visibility of your products in search results.
• Craft Concise, Informative Descriptions: Aim to provide succinct yet comprehensive product descriptions. Quality descriptions serve as valuable source material for SGE, enabling it to accurately reflect your products’ features and benefits in its search results.
• Highlight Key Product Features: Pay attention to the characteristics typically used in SGE's ordered lists, such as product specifications, statistics, or unique selling points. Ensuring these elements are clearly presented in your content can aid SGE in accurately representing your products, enhancing their appeal to potential customers.
• Ensure Perks Related to Products Are Marked Up: Perks such as free delivery and stock status should be marked up and present on the product pages. Unordered breakout lists will be offering a deeper shopping experience where users can compare different vendors and their current offers without leaving the search result page.

Recipes

In the realm of Google's Search Generative Experiences (SGE), recipe cards represent a specialized module tailored to culinary-related queries. This feature is triggered when a user's search implies a need for recipe information. The recipe card module is designed to present cooking instructions in an organized, accessible format, making it a valuable tool for users seeking culinary guidance. 

Across the data set, we are seeing their visibility decline, potentially suggesting Google is getting better at understanding what is a true recipe search and eliminating those that are not. Despite an uptick in the middle of January, Recipes still represent a minor component of the overall sample set.

Characteristics of Google's SGE Recipe Cards:

• Structured Presentation: Recipe cards display key information such as ingredients, cooking steps, and preparation times in a well-organized manner. This structured approach aids users in easily understanding and following the recipe.
• Visual Appeal: Often accompanied by images, these cards provide a visual representation of the dish, enhancing user engagement and making the recipe more appealing.
• Relevance to Query: The recipe cards are specifically rendered in response to queries that clearly indicate a need for recipe information, ensuring that the content is highly relevant to the user's intent.

For SEO and content creators in the culinary domain, understanding the nuances of how SGE handles recipe content is crucial. Optimizing recipe pages to align with the format and requirements of SGE recipe cards can significantly enhance the visibility and user engagement of culinary content in search results.

Currently, in the context of Google's Search Generative Experiences (SGE), recipe cards are predominantly triggered by specific cooking or food-related searches. Their appearance is closely aligned with queries directly seeking culinary guidance or information about food products. This focused deployment ensures that recipe cards are presented to users who are most likely to find them relevant and useful.

Observations on the Scope of SGE Recipe Cards:

• Detailed Recipe Descriptions: Craft comprehensive descriptions for your recipes. These descriptions should provide clear and concise information, enabling the SGE AI to accurately understand and present your content in search results. This is crucial for ensuring that your recipes are favorably interpreted and displayed by SGE.
• Incorporate User Reviews: Where feasible, include user reviews for your recipes. Reviews add a layer of credibility and engagement, which SGE seems to value. These can enhance the appeal of your recipe cards in search results, potentially increasing clickthrough rates and user interaction.
• Highlight Essential Recipe Information: Make sure to prominently feature key details of your recipes such as cooking time, ingredients list, and nutritional information. This not only aids in user comprehension but also helps the SGE algorithm to better categorize and display your content in a relevant and useful manner to searchers.

By implementing these SEO practices, you can optimize your recipe content for better visibility and engagement in Google's Search Generative Experiences. This will ensure that your recipes are not only found but also presented in a way that is helpful and appealing to users, thus enhancing the overall effectiveness of your digital marketing efforts in the culinary space.

Places

Google SGE's local modules mirror the functionality of traditional map packs in search results, offering localized information tailored to the user's specific search intent. They are referred to as Places in the SGE code. These local packs prominently display citations and incorporate elements like user reviews, providing a comprehensive and relevant local search experience.  Of all the modules we are tracking, local has seen the broadest deployment in the last month. They experienced an uptick in visibility in SGE results and are now the most prominent module in SGE as of January 2024. This trend has continued through the month. As of early February, nearly half of results that generated a SGE have a places module in them.

SGE sources its local pack reviews primarily from Google Business Profiles, enhancing the accuracy and relevance of the information provided. The local packs are interactive, allowing users to delve deeper into the details with just a click. Our analysis across various keywords reveals a targeted application of these local packs. They are predominantly utilized in searches related to sectors like Restaurants and Travel, where localized information is crucial. Conversely, we observed an absence of local SGE modules in B2B and Entertainment-related queries, aligning the module deployment with the logical needs of different search categories.

SEO Strategies for Local Results in Google SGE:

• Active Review Management: Regularly monitor and respond to reviews. This proactive approach not only improves your reputation but also enhances your visibility in SGE local results.
• Optimized Local Listings: Tailor your local listings to address location-specific queries. This ensures that your information is relevant and easily discoverable by users searching in your area.
• Observational Analysis of SGE Deployments: Keep an eye on how and where SGE displays local modules. SGE can interpret and display local intent in search queries, even when location-specific terms are not explicitly used. Understanding these patterns can inform adjustments to your SEO strategy for better alignment with SGE's operational mechanisms.

Product Viewer

Google's SGE framework has made significant advancements in the presentation of product views, showcasing a variety of display styles tailored to the specific product and user preferences. This diversity in product presentation is indicative of Google's commitment to enhancing the user experience in product-related searches. For ecommerce sites, adapting content and presentation to align with these evolving search result formats is becoming increasingly important.

In our comprehensive analysis, we found that the product viewer modules are predominantly have diversified significantly over the course of November 2023, highlighting a focus on tailoring the shopping experience within the SGE framework.  There are given product viewers that are in regular appearance in SGE, however Google has experimented with a general version that has only appeared once since its original appearance in November.

Google's Search Generative Experiences (SGE) employs several innovative methods to display products, with the aim of enhancing user interaction and providing a more personalized search experience.

Characteristics of Google SGE Product Views

Here's an overview of the different types of product views currently deployed by SGE.

Product Viewer with Sourced Descriptions: This format displays products along with descriptions, where the source of information can be revealed through a drop-down arrow.

Apparel Product Viewer: In this variation, apparel items are presented with larger images, accompanied by reviews, purchase locations, and prices. SGE also provides contextual commentary on fashion trends:

Carousel Product Viewer Groupings for Multiple Preferences: For queries that may lead to diverse product preferences, Google SGE utilizes a carousel format to group similar items, such as differentiating between trendy and classic styles:

Integrated Product Viewer Carousel with Grouping for Apparel: As of November 9, 2023, SGE introduced a new format that combines various apparel options in a single, comprehensive display. On November 18, this module appears to have replaced the general carousel grouping for multiple preferences.

This format often includes imagery from social platforms like Pinterest and provides detailed pricing information. At present, when users click on the “More denim jumpsuit”, “More lace jumpsuit” or “More from Lulus” they are taken to an experience like Product Viewer with Sourced Descriptions.

Valuecards for Specific Products: This format is used for searches where the user’s intent is clear, focusing on a straightforward presentation of a specific product:

Each of these variations reflects Google's ongoing experimentation and adaptation within the realm of product search. As of November 2023, the product module, especially in the apparel category, has undergone the most significant evolution.

New in February 2024, Product Viewers with Facets and Suggested Search: This format allows users to compare facets of a product across different modules within the search results (query is "OLED TV"). This functionality enhances the ability for users to conduct comprehensive top-of-funnel research without leaving the search page.

For SEOs, the implication is clear: product features need to be prominently displayed and consistently presented to ensure that the AI can effectively utilize and reference the content. This can increase the visibility and competitiveness of products in search results.

Furthermore, Google SGE is now augmenting search results with suggested queries. For instance, when searching for an OLED TV, SGE might suggest exploring 'gaming' and '4k' as related topics. Selecting 'gaming' redirects users to a search experience specifically curated for gaming TVs, allowing for a more targeted search process. This feature emphasizes the need for SEOs and content creators to understand and integrate long-tail content elements, such as use cases, benefits or specifications into their product information, as these details become increasingly crucial for capturing highly qualified traffic.

SEO Implications for Product Viewer Modules:

• Optimize for Trend Relevance: Align your category pages with current trends to increase the likelihood of inclusion in SGE's dynamic displays.
• Incorporate Product Reviews: Facilitate and showcase product reviews on your site to enhance credibility and appeal.
• Category Optimization for SGE Groupings: Adapt your categories to align with SGE's grouping logic, ensuring relevance and visibility.
• Present Clear Pricing Information: Use schema markup to highlight pricing details, enhancing clarity and searchability.
• Monitor Keyword Performance: Keep a close eye on how your key revenue-driving product keywords are performing in SGE results, adapting your strategy in real-time to changes in SGE's presentation formats.

Code Block

Google's Search Generative Experiences (SGE) includes a feature known as Code Block that generates code snippets for specific technology-related queries. This functionality allows users to directly copy and deploy code provided by SGE. However, our analysis revealed that the Code Block module predominantly appeared in just 33 e-commerce-related queries. These instances seem to be false positives.

In this instance, this may have been confused with the brand Dockers:

SEO Considerations for Code Block in Google SGE:

• Monitor Brand-Related Queries: Regularly observe how SGE interprets and responds to searches involving your brand or critical business terms.
• Address Misinterpretation of Intent: In cases where SGE misinterprets the intent of a query, consider implementing Schema Organization markup. This will provide clearer signals to search crawlers, helping them better understand the context and content of your site, thereby improving the accuracy of the generated code blocks.

Reviews

Beginning December 15, 2023, Google SGE began displaying reviews for a small number of queries. As of January 10, these modules are largely focused on queries related to travel destinations. Review modules offer snippets of reviews posted by users mostly from local Google resources.

These remain experimental and are only showing for less than a percentage of queries:

SEO Considerations for Reviews in SGE: 

• Actively solicit and engage with reviews on Google Business Profiles.
• Prioritize fundamental local SEO practices linked to Google Business Profiles, acknowledging that current SGE observations for reviews are preliminary.

Listen Button

In February 2024 for 5 days we detected a Listen button which appeared above the standard information box for SGE results. This result has not been detected since, but could indicate further enhancements for SGE.

SEO Considerations for Listen Button:

• Consider leveraging the speakable schema tag (there is no direct evidence that SGE uses this schema, but it is a signal crawlers can detect)
• Ensure content reads naturally and isn't written for spiders

Plan My Itinerary

On March 25, SGE began showing a new feature called "Plan My Itinerary," which enables users to generate detailed travel plans with a single query. This significant update to search technology indicates that SGE can now comprehend a user's intent, parsing complex inquiries into tailored results that address various aspects of that intent. For instance, users seeking to arrange a three-day exploration of downtown Chicago, complete with a daily schedule of activities, can input their specifics into SGE. The system then produces a personalized itinerary aligned with the user's preferences and location, showcasing SGE's enhanced capability to provide customized and relevant search outcomes.

• For travel sites:
  • Optimize content around activities and attractions in various locations. Include content from blogs and articles focusing on "Things to Do" in different areas, which could serve as a new referral source for SGE.
• For non-travel brands:
  • Prepare for SGE's evolving capability to process complex queries with comprehensive results. Ensure your pages effectively address multiple aspects of a single query. For example, if you sell lawn and garden equipment, content related to planning and curating a perennial garden could drive traffic. This is especially true if SGE expands its capabilities to include planning yard work or timing for planting certain items.

Baseline SGE Components

Google's Search Generative Experiences (SGE), regardless of the specific state or module in use, incorporates a set of standard features in its results. These features are consistent across various queries and provide a structured approach to presenting information.

Answer Box:

• Positioned at the top of the search result.
• The content within this box is AI-generated and tailored to the query. It may include text and, in some cases, graphics.
• The sources for the information are accessible by clicking on a chevron icon within the box.
• Google includes a disclaimer regarding the potential variability in information quality.

Source Panel:

• Located to the right of the Answer Box.
• Displays the primary sources (up to three initially visible, with ten available upon scrolling) that the SGE uses for generating the Answer Box and other components, such as ordered lists.
• The relationship between these sources and their organic search rankings is not fully established, but they often correlate with the top ten organic search results.

Additional Questions:

• Found at the bottom of the SGE result.
• Presents related queries that, when selected, initiate a new SGE interaction in a conversational thread format.
• Each new query generates a fresh set of sources and detailed answers, offering multiple engagement points for brands and content creators.

This conversation style format underscores the importance of building contextual content. As this example illustrates, a new set of source panel pages are delivered and each paragraph within the Answer Box features sources of its own. These all represent opportunities for brands to be part of the conversation between SGE and user.

The integration of these features in SGE results underscores the critical role of contextually rich content. The dynamic nature of SGE, exemplified by these components, highlights the opportunity for brands to be part of the ongoing dialogue between users and Google's advanced search capabilities.

Special Cases

As Google progresses in refining its search engine, it is experimenting with a variety of new formats and personalized approaches. Specific elements, tailored to distinct query types, are being introduced. These elements are designed to either integrate cohesively with or complement the existing search modules.

Pro/Con

Recent developments have seen the introduction of Pros and Cons that are generated via AI. As of November 13, searches using certain keywords will predominantly display a "best" column, with a notable exclusion of any corresponding drawbacks or 'cons' in these sections. This change represents a focused approach to streamline information presentation in response to specific search intents.

Combined Shopping Offer Cards

Currently, these are being deployed for retail and ecommerce queries. These blocks highlight a particular offer that is commonly provided by a group of organizations. While it remains uncertain if these are sourced from the Schema "offer" tag, it's evident that signals aligning with what the offer card displays could enhance the likelihood of appearing in these results:

Hero Images

Currently, when activated, these elements consistently appear at the bottom of the answer box. They are emerging across a broad spectrum of keywords and do not seem to be confined to any particular type of search. Notably, all images appear to be sourced. To enhance eligibility for display in these sections, it is crucial to ensure that images are optimized with relevant tags and are optimally compressed. This strategy underscores the importance of image optimization in facilitating effective and relevant search result displays:

Special Cases: Health and Finance

The introduction of Google's Search Generative Experiences (SGE) has markedly transformed the handling of "Your Money or Your Life" (YMYL) keywords. These keywords are pivotal because they relate to critical areas such as health, finance, and legal matters, where accurate and trustworthy information is not just beneficial but essential due to the significant impact on users' life decisions.

Understanding YMYL Keywords

YMYL keywords pertain to topics where erroneous or misleading information could have grave implications. They encompass a broad spectrum, including, but not limited to:

• Health Topics: Examples include "heart attack symptoms" and "mental health support"
• Financial Guidance: Such as "how to save for retirement" or "finding the best student loans"
• Legal Advice: Including "how to write a will" or "requirements for starting a business"

How Google SGE Treats YMYL Keywords

In addressing YMYL topics, Google SGE prioritizes information reliability and relevance. It evaluates content sources for credibility and accuracy, favoring authoritative sources over others. SGE employs specific warnings, including those tailored to YMYL topics and others for liability protection, enhancing the trustworthiness of search results in critical areas:

Additional instances of this warning appearing for SGE results encompass:

• Age (sge-warning-age)
• Financial
• Medical
• Legal
• Dangerous
• Generative AI Warning

As Google experiments with how to show SGE results that could potentially be sensitive, the warnings appearing in results also fluctuate. Tracking the presence of these YMYC warnings, we see that Google has significantly increased medical warnings which correspond to SGE results appearing for more healthcare-related queries. Additionally, a new type of warning, making the disclaimer that "Generative Results are Experimental" began appearing in late March of 2024. This coincided with Google's experiments briefly showing SGE results outside of the lab environment. Note that these warnings appear for all queries, not just Your Money or Your Life.

Google SGE YMYL Considerations:

• Leverage Trusted Authorities: Collaborate with renowned experts or institutions when discussing YMYL subjects. For financial advice, reference established economists or respected financial entities.
• Precision and In-Depth Content: Ensure accuracy and depth in your YMYL content. For instance, content related to financial management should provide up-to-date data and expert insights.
• Prioritize Clarity and Practicality: Present your content in an easily understandable and actionable manner. When explaining intricate processes like home purchasing, break them down into reader-friendly steps.
• Keep Content Current: Maintain the freshness of your content, especially for rapidly evolving topics like health and finance. Regular updates guarantee that users have access to the latest information.

We've observed fluctuations in the presence of Google SGE results across various industries. In some cases, certain types of results have experienced significant drops followed by recovery. Specifically, in the healthcare sector, there was a notable decrease in SGE results around mid-December, which has now rebounded to levels similar to those seen in November. The declines coincide with a decrease in warnings for medical-related YMYL queries.

Furthermore, we're noticing various types of Google SGE results gaining prominence in other sectors. In the education sector, opt-in results have been steadily increasing since mid-January. At the same time, the occurence of queries without any SGE result in education has dropped to less than 2%.

The exact same trend is occuring for e-commerce related queries:

In certain industries, we've observed more significant fluctuations in search results. For instance, in B2B technology searches, there are more frequent changes in SGE results. Searches without SGE are yielding minmal results. This suggests that Google is still experimenting with how to present SGE results, but overall, the results are adequate for displaying in most queries. 

SEO Strategies for Ensuring Content is Sourced:

• Focus on content and topic clusters. Rather than designate a single page for an entire topic, build and connect multiple resources across your site. They may not all rank organically, but based on the nuances the SGE is trying to address, your entire content repository may be used.
• Prioritize crawlability. For larger sites, particularly in insurance, the data suggests that pages that aren’t even ranking in organic results may be a primary source for SGE. Primary landing pages are key for regular organic results, but deeper pages may be even more important for SGE. Regular log file analysis to ensure crawlers are accessing all of your content need to be part of your regular SEO program.
• Dissect intents in long tail keywords. Since SGE results attempt to address multiple intents in one query, its possible that it may source content that is only tangentially related to your targeted keyword. Identify head terms that drive your overall strategy but also look at different intents expressed in the deeper pages and ensure content covers them.

Preparing for SGE

As Google's Search Generative Experiences (SGE) reshape the search landscape, the imperative for SEO professionals is to adapt strategically. The introduction of SGE represents a significant shift in search query handling, necessitating a reevaluation of traditional SEO practices. This conclusion synthesizes the key strategic considerations that should guide SEO efforts in this new environment.

Emphasis on Contextual Understanding

SGE's reliance on the Multitask Unified Model (MUM) for query interpretation underscores the importance of context in content creation. SEO strategies must now prioritize a comprehensive understanding of user intent, moving beyond mere keyword optimization. Content should address not only the direct query but also the broader context within which it is asked. For instance, content around financial advice should delve into various user scenarios, catering to a spectrum of financial situations.

Responsiveness to SGE's Dynamic Nature

The changing nature of SGE's presentation modules and states demands agility in content adaptation. SEO professionals must remain vigilant, continuously analyzing how their content performs across different SGE modules. This requires a flexible content strategy that can quickly respond to Google's ongoing updates and modifications.

Rigorous Standards for YMYL Content

With YMYL content, SGE places a high premium on accuracy and trustworthiness. This necessitates rigorous standards for sourcing and presenting information. Content related to health, finance, or legal advice must be anchored in verifiable expertise, with clear citations from authoritative sources. Inaccuracies or misleading information in these areas not only diminish search performance but also carry ethical implications.

Focused Enhancement of User Experience

SGE's focus on user experience reinforces the need for SEO strategies that prioritize usability and engagement. This includes optimizing website design for ease of navigation, ensuring fast loading times, and creating content that directly addresses user queries with clarity and precision.

Leveraging Data for Informed Decision-Making

In this evolving landscape, a data-driven approach is critical. Regular analysis of how SGE interacts with different types of content will provide insights into emerging trends and user preferences. This will enable SEO professionals to make informed decisions and adapt strategies in real-time.

In conclusion, the emergence of SGE represents a significant shift in the SEO domain, requiring professionals to adopt a more nuanced, context-aware, and agile approach. By focusing on these strategic imperatives, SEO professionals can effectively navigate the challenges and opportunities presented by this advanced AI-driven search environment.

Glossary

• Search Generative Experiences (SGE): A Google search technology that employs advanced algorithms and AI, including the Multitask Unified Model (MUM), to dynamically generate and present search results based on user queries.
• Multitask Unified Model (MUM): An AI model used by Google, designed to interpret and process search queries more effectively by understanding the context and nuances behind them.
• SERP (Search Engine Results Page): The page displayed by search engines in response to a user's query, showing a list of results that match the query.
• YMYL (Your Money or Your Life): A category of content that significantly impacts a person's health, financial stability, or safety, requiring high accuracy and trustworthiness.
• SGE States: Different states in which SGE presents its search results, affecting how users interact with and view these results. Includes Collapsed, Opt-in, and No SGE states.
  • Collapsed State: The SGE result is truncated and requires the user to click a “Show more” button to view the entire content.
  • Opt-in State: The user must actively request an SGE result, which is then generated for them.
  • No SGE State: Certain queries do not generate an SGE result and are presented
• SGE Modules: Specific attributes or formats used by SGE to display search results based on the perceived intent of the keyword. These can include Unordered Lists, Recipes, Local Packs, Product Views, and Code Blocks.
  • Unordered Lists: Lists of items that can be rendered with or without descriptions, used in various informational queries.
  • Recipes: Specialized cards for cooking or food-related queries, featuring details like cook time and ingredients.
  • Local Packs: Local search results tailored to the user’s location, often including reviews and maps.
  • Product Views: Various formats for showcasing products, including listings, carousels, and value cards, especially used in e-commerce queries.
  • Code Block: Blocks of code generated for specific technology-related queries.
• Answer Box: A feature at the top of SGE results, providing a concise answer or summary for the query, with sourced information.
• Source Panel: A panel alongside the Answer Box, displaying sources that SGE uses to generate its content, often including URLs.
• Additional Questions: Prompts at the bottom of SGE results, leading to further queries and continuing the search experience in a conversational format.

BrightEdge Generative Parser™ (BGP) 

The Search Generative Experiences (SGE) by Google necessitates user interaction for activation, making its behavior analysis distinctly different from conventional rank tracking methods. Addressing this challenge, BrightEdge has developed a groundbreaking technology called BrightEdge Generative Parser™ (BGP), which can measure and track the patterns within a SGE result.  At present, BGP is used to evaluate a large and representative set of keywords spanning nine unique industries and a variety of markets.  In the lead up to this launch, while BGP is in BrightEdge labs, insights will be shared here with the SEO community.  This initiative aims to expedite the learning process, helping marketers to swiftly adapt to the evolving search marketing dynamics.

Live SGE Update Monitoring

4.28 - Generative AI Warning begins to appear
4.21 - Product Viewer Module decreased in visibility by 15%
4.11 - Results with No SGE increase by 30%
3.25 - Intent Planning Module detected
3.20 - 13% drop in Product Viewer Recovered 3-22
3.20 - Results with no SGE jumped from 20% to 30%. Recovered 3-22
3.19 - Pixel Size for all SGE results decreased by 40%
3.15 - 31% drop in Product Viewer Visibility. Recovered 3-17
3.14 - Spike in Listen Module to 60% of queries for select results
3.14 - Results with no SGE jumped from 20% to 40%. Recovered to monthly average 3-15
2.25 - Product Viewer Shopping Facets and Suggested Queries emerge
2.21 - Pixel Height dropped to 1,277 pixels
2.17 - Overall pixel height of SGE results spiked from 1,217 to 1,348
2.15 - Emergency of a Listen Module appeared and disappeared after 5 days
2.03 - Pro/Con modules have been on a steady decline for 3 weeks
1.12 - Slight increase in Review module presence
1.05 - The Versus Table for Pro/Con has ceased to appear
12.23 - Block Quotes emerge as a new module for small number of B2B tech queries; depricated by 12.7
12.17 Unordered Lists with breakouts double in visibility
12.16 - SGE results for healthcare queries drop 28%
12.16 - Cons in Pro/Cons modules is down 20%
12.14 - "Review" module appears in SGE results
12.13 – Unordered lists with no breakouts rose by 12%
12.13 – Warnings for Medical are recovering but still 32% below November’s average
12.12  - Warnings for Medical queries dropped 38%
12.12 -  Unavailable Results jumped to 2.5% until 12.13
12.05 – Collapsed Results jumped to 30% of SGE results.  Results were back to 15% on 12.7
12.02 – Brief spike in unavailable to 5% occurred for 3 days.  
11.23 – SGE is generating subcategories for shopping ideas and providing links that let you virtually try them on  
11.20 – SGE began testing a “you may also like” sponsored content carousel within follow-up questions  
11.18 – Product Carousel Grouping replaced the general product carousel  
11.18 – 3% of pro/con modules are now featuring a “versus table”