AI and machine learning: What you do and don't need to know for SEO

English, British
News Item Title
AI and machine learning: What you do and don't need to know for SEO
News Item Author Name
Jim Yu
News Item Published Date
News Item Summary

Artificial intelligence (AI) is a field of technology that is surrounded by both hype and misconceptions. It is predicted that $60 billon will be spent by brands on AI technology by 2025, so this hype is having a direct impact on where companies allocate their budgets.

SEO for Voice Search: Are We Doing it Correctly?

maspillera
maspillera
M Posted 8 years 3 months ago
t 9 min read

Voice represents a significant transformation to the way end users interact with Search. The convergence of Voice, vertical search engines, and mobile will accelerate the fragmentation of Search and the need for agile and targeted SEO for voice.

Organic continues to be a critical channel for marketers. The expansion and modification of paid search placements on Google, implementation of the Knowledge Graph, featured snippets, local results, and now question-answer SERPs have all come and gone. Despite all of that we know that in 2017 Organic still comprised 51% of all web traffic on average. People continue to browse and engage with organic listings on the SERP. There is one technological development that seems to pose a fundamental shift to the way people interact with and navigate through search engines, and that's voice search. By speaking a query to your mobile or home device, the user effectively bypasses the SERP and is delivered an answer without ever having to browse search results, click through to a new site, or, in some cases, even look at a screen. This is the true "Position 0" reality that SEOs have been talking about for a while now. It's obvious that we need to start optimizing for voice, but there are extra levels of nuance beyond simply, "let's go after more Quick Answer boxes," that are worth considering.

Why is voice search important for digital marketing?

In one way, voice search results are simply a continued evolution of the featured snippets that now sit at the top of the SERP for a number of query-based search terms. Google itself has stated that featured snippets help with appearing in voice search queries, and Quick Answers featured snippets are often the source for the answers delivered by Google Voice Search and Google Home for voice queries. The significance of this relationship is even more apparent when you factor in that in 2016, Google SEO Sundar Pichai said a full 20% of Google searches made on mobile and Android devices are voice searches. The proliferation of voice search-enabled devices has also been dramatic. One in six adults in the United States owns a "smart speaker" device as of 2017, according to NPR and Edison Research. Additionally, a Northstar Research study commissioned by Google in 2014 found that 55% of teenagers and 41% of adults included in the survey used voice search more than once a day. It's for these reasons and more that we believe Voice will be a tidal wave that search marketers should be prepared to surf. Of course, the extent to which that's actionable depends partly on how much data is available to work off of, which is - at least for now - one of the main challenges.

What kind of voice search data do we have?

One of the biggest challenges SEOs and digital practitioners have in terms of optimizing for voice search is that we simply don't have very much tangible data on itseo for voice with brightedge yet. Back in 2016 John Mueller, Senior Webmaster Trends Analyst at Google, said in a Webmaster Central office hours session that Google had been in discussions to add voice search traffic data to Google Search Console. The amount of data that's been made available since then, however, has been limited. Mueller did subsequently mention that voice query data would likely be presented as a separate dataset from standard GSC keyword data, but not much else. This isn't out of any desire to withhold information on the part of Google. Rather, as Mueller himself has said, the challenge on the search engine side has been to figure out the optimal way to parse and display this huge new dataset in a way that will be intelligible to the marketer. Despite this, based on best practices for featured snippets and aforementioned Quick Answers we do know enough to have a good sense of how to position for Voice:

  1. Analyze your search reporting for question queries and long queries
  2. Find the 100 most popular questions in your industry, site, CS, or, help section
  3. Ask the question in the title, answer the question in the body
  4. Focus on answers and getting position 1 and Quick Answers or “position 0”
  5. Check for popular answers in Yahoo Answers and Quora
  6. Enhance use of structured micro-data and schema
  7. Enable voice-to-text to search your site to match context query was made in
  8. Use conversational language on pages to map to queries coming from digital assistants

BrightEdge can help you to better identify and target these Quick Answer and featured snippet and, by extension, voice search opportunities. By using the Universal Search Results view in the Keyword Reporting module, as well as looking up your own domain in Data Cube, you can track which Quick Answer boxes you already possess as well as SERPs where you do show up, but don't have Quick Answer placement.Data Cube Universal Results Quick Answers report Additionally, the Insights solution can elevate Quick Answers opportunities to you based on your existing list of tracked keywords. There is also a whole other additional layer of abstraction (and potential for growth) in SEO for voice: The ever-growing universe of vertical search engines.

Voice search and vertical search engines

There's a layer of complexity to voice search that's easy to miss, and that's that Voice is fragmented. There are two separate points of fragmentation worth pointing out: Firstly, there's a whole universe of other search engines out there. Major examples include Amazon, Facebook, LinkedIn, and YouTube. Depending on your industry and business model, many of these vertical search engines can be of significant value. The need for SEOs to start thinking about vertical search engines is something we've talked about before, but the rise of Voice makes it all the more important. Secondly, when we talk about Voice as a whole we often use the term to refer just to voice searches conducted on Google, and we don't factor in device type. Devices, however, are a vital aspect of how voice search will be delivered to and conducted by end users. Consider how it was only around September of 2017 when Apple switched the default search engine of Siri, the voice-activated digital assistant of iOS, from Bing to Google. Compare this to the Amazon Echo, which uses Bing. There are also narrower, but just as powerful examples, such as how Bixby, Samsung's virtual assistant for Galaxy devices, offers a visual search feature, which can identify brands and products and direct the user to ecommerce listings, uses Pinterest's Lens tool. While these individual examples may not be relevant to every search marketer, they are indicative of how the confluence of Voice, mobile device proliferation, and vertical search engines can drastically affect the angles of attack in SEO for voice search. Observe this example of a mundane voice search query using Alexa that delivers results solely for Amazon-branded products.

Different vertical search engines equal different search intent

Not all search engines are created equally. There are many potential scenarios where a brand may be better served focusing its SEO efforts on one search engine or a set of search engines versus another. It's clear that Voice is transforming organic search as we know it. This transformation isn't the end of Organic, it's another layer of complexity that will make savvy SEOs and digital marketers who understand user intent and approach it using a smart content framework more important than ever. If you're hoping to gain more information on the topic, download BrightEdge's POV on voice search.

Voice represents a significant transformation to the way end users interact with Search. The convergence of Voice, vertical search engines, and mobile will accelerate the fragmentation of Search and the need for agile and targeted SEO. Organic continues to be a critical channel for marketers. The expansion and modification of paid search placements on Google, […]

The post SEO for Voice Search: Are We Looking at Optimization the Right Way? appeared first on BrightEdge SEO Blog.

Three out of four believe that AI applications are the next mega trend

English, British
News Item Title
Three out of four believe that AI applications are the next mega trend
News Item Author Name
Eileen Brown
News Item Published Date
News Item Summary

In a follow-up to its 2017 survey on the future of marketing and content, Foster City, Calif-based organic search and content platform BrightEdge has released new finding from a survey of Fortune 500 marketers.

15 Mind-Blowing Stats About Artificial Intelligence

English, British
News Item Title
15 Mind-Blowing Stats About Artificial Intelligence
News Item Author Name
Giselle Abramovich
News Item Published Date
News Item Summary

When asked about the next big marketing trend, survey respondents identified consumer personalization (29%), AI (26%), and voice search (21.23%). These top three responses, which total 75% of all AI applications, demonstrate that AI is more pervasive and prominent than respondents realize.

Hyperlocal SEO: How to Optimize for Micro-Moments

English, British
News Item Title
Hyperlocal SEO: How to Optimize for Micro-Moments
News Item Author Name
Cynthia Johnson
News Item Published Date
News Item Summary

Mobile search results are frequently different from desktop SERPs. BrightEdge reported that 79% of keywords overall and 47% of the top 20 SERPs are different on a mobile device.

Marketers on the Lookout for Artificial Intelligence in 2018

English, British
News Item Title
Marketers on the Lookout for Artificial Intelligence in 2018
News Item Author Name
Ricky Costa
News Item Published Date
News Item Summary

Recent research from BrightEdge investigated the future trends of artificial intelligence, its benefits, and challenges for today's digital marketer.

Online Marketers: The Next Big Trend in Marketing

English, British
News Item Title
Online Marketers: The Next Big Trend in Marketing
News Item Author Name
Ayaz Nanji
News Item Published Date
News Item Summary

What do online marketers believe will be the next big trend in marketing? To find out, BrightEdge surveyed 500 search, content, and digital marketers in February of 2018.

Powering Modern Marketing Stack with Smart Content

A BrightEdger
A BrightEdger
M Posted 8 years 3 months ago
t 9 min read

Integrating modern marketing and smart content allows brands to optimize performance for Organic and other digital marketing channels along the buyer's journey and funnel.

BrightEdge developed the Smart Content framework partially as a response to many brands’ struggle to make their regular content highly visible in organic listings on search engine results pages (SERPs). The core challenge of marketers today is something we call “content congestion:” the deluge of articles, blog posts, social posts, emails, videos, glossaries, and other types of content vying for customers’ attention online. The smart content framework provides something akin to a fast lane: it packs enough SEO and mobile-friendliness best practices into the content from the moment it is published so that it gets to the top of the SERP in a relatively shorter amount of time, offering strong organic search success. marketing and smart content - brightedge As more brands adopt an augmented marketing with smart content, it becomes increasingly clear that the framework provides marketing benefits far beyond the organic channel. We’re seeing early adopters of the framework successfully implement smart content in paid search, email, and social media campaigns. The key to smart content success in all of these marketing channels is, to a great extent, its ability to identify specific customer intent. The content pieces are developed less as a platform for top-down brand messages and more as a targeted and direct response to  specific customer needs. And because of that smart content tends to perform well in any direct response campaign. Let’s look at several examples.

Smart content for paid search

Paid search and organic search work hand-in-hand, occupying the same touch point--the SERP. Historically, the overlap between paid and organic was not extensive: often paid search managers developed their own campaigns and landing pages with little regard to organic objectives or performance. These days paid search managers are working more closely with their SEO counterparts, coordinating, for instance, paid investments for important organic topics that have no organic real estate above the fold of the SERP. Some of these PPC managers go a step further. They examine the user questions that smart content pieces target and start bidding on them for paid search campaigns. Since these pages are fully tuned for their respective queries, and since they perform very well given their integrated CTAs and content recommendations, they tend to outperform traditional paid search campaigns. One such advertiser, WhiteHat Security, a BrightEdge Content customer, saw its average quality scores nearly doubled for smart content PPC campaigns, which helped them lower cost per click, increase total clicks for its budget, and boost website lead generation by 150%.

Plugging in a smart content topic in can easily extend to email marketing. When the topic is developed using the voice of the customer, it lends itself well to email subject lines that quickly resonate with their target audience, boosting email open rates. Some early adopters of the Smart Content framework leverage their new page content by incorporating it into the email body. Tuned copy and imagery, built-in CTAs, and even suggestions for further reading work exceptionally well to drive email clicks and website visits. And once they have landed on the site, visitors are introduced to other compelling content developed through a cohesive content strategy to solidify utility and thought leadership on emerging topics. marketing and smart content with brightedge

Smart content for social media

Lastly, smart content also works for social campaigns. We have seen brands extend their marketing and smart content from the website into LinkedIn, Facebook, and Twitter posts and articles. Again, since the content leverages the voice of the customer faithfully, it resonates well with social media users who engage with and share smart content. Social amplification of content is a key tenant of the smart content framework, whereby writers promote their new content as soon as it gets published. With its attention to the voice of the customer and performance-first approach, smart content fuels the heart of marketing. Even though smart content was born out of the need to win on the SERP, it’s becoming clear that forward-thinking brands are leveraging their initial content investment and reaping great benefits across channels and touchpoints to provide customers with consistent and engaging experiences that drive engagement, trust, and loyalty.  

Integrating the modern marketing stack with Smart Content allows brands to optimize performance for Organic and other digital marketing channels along the buyer’s journey and funnel. BrightEdge developed the Smart Content framework partially as a response to many brands’ struggle to make their regular content highly visible in organic listings on search engine results pages […]

The post Powering the Modern Marketing Stack with SEO Insights and Smart Content appeared first on BrightEdge SEO Blog.

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