Request a demo

AI Overviews Goes Deep. ChatGPT Goes Wide

How Citation Concentration Differs Across AI Shopping Assistants

 

Using BrightEdge AI Catalyst, we analyzed eCommerce prompts across Google AI Overviews and ChatGPT throughout the holiday shopping season. We've already shared WHO each platform cites — now we're examining HOW CONCENTRATED those citations are. The patterns reveal very different distribution curves that marketers should understand when measuring AI visibility.

Data Collected

We analyzed citation sources across both AI platforms to understand:

  • Which domains each AI returns to repeatedly across many queries

  • How concentrated citations are among top sources

  • How often the same URL gets reused across different prompts

  • Whether the same content surfaces differently on each platform

Key Finding

AI Overviews concentrates citations among a smaller set of trusted sources — its top 10 domains capture 39% of all shopping citations. ChatGPT distributes citations across a much wider pool — its top 10 domains capture just 22%. One retailer homepage appears in roughly 1 of every 4 AI Overview shopping responses. The same optimization wins on both platforms, but understanding the distribution curves helps you measure success accurately.

The Concentration Gap

AI Overviews: Deep Trust in Fewer Sources

AI Overviews returns to the same sources repeatedly. The top 10 domains capture 39% of all eCommerce citations, and a single retailer homepage appears in approximately 26% of all shopping queries.

This concentration pattern means that when AI Overviews trusts a source, it cites that source across many different queries. Winning visibility on AI Overviews means joining a concentrated set of repeatedly-cited sources.

The Strategic Interpretation

This isn't about one platform being better than the other. It reflects different approaches to sourcing information for shoppers.

AI Overviews builds on established, trusted sources — going deep with content it returns to across many related queries.

ChatGPT casts a wider net — pulling from a broader universe of sources and going wide to find query-specific content.

URL Reuse Patterns: The Starkest Contrast

How Often Does the Same URL Get Cited?

The URL reuse data reveals just how different these platforms behave.

AI Overviews' most-reused single URL appears in approximately 26% of all shopping queries. When AI Overviews finds a source it trusts for a category, it returns to that source repeatedly.

ChatGPT's most-reused single URL appears in approximately 1% of queries. Even ChatGPT's "favorite" sources are only cited in a small fraction of responses.

What This Looks Like in Practice

For AI Overviews, a Consumer Reports buying guide might get cited in 27 different shopping queries — from coffee makers to mattresses to microwaves. The same trusted source serves many different user needs.

For ChatGPT, a detailed RTINGS TV review might get cited in 48 queries — but those are almost all TV-specific queries. ChatGPT finds the deep expert source for each specific topic rather than reusing general buying guides across categories.

Same Content, Different Visibility Curves

The Measurement Implication

Your content can win on both platforms — but where and how often it appears will differ.

On AI Overviews, a winning piece of content may surface repeatedly across many related queries. If you're cited, you may be cited often.

On ChatGPT, a winning piece of content may surface for specific queries where it's the best match. You may be cited less frequently, but with more precision.

This isn't a strategy problem — it's a measurement reality. Tracking visibility on both platforms gives you the complete picture of how your content performs in AI search.

Platform Favorites: Different Sources for Different Platforms

Each Platform Has Go-To Sources

When we looked at specific URLs, clear patterns emerged. Each platform has sources it returns to repeatedly — and they're often different sources.

One TV review site's "best TVs" page was cited in 48 queries by ChatGPT but 0 by AI Overviews.

One trusted buying guide index page was cited in 27 queries by AI Overviews but 0 by ChatGPT.

Both are high-quality sources. Both provide genuine value to shoppers. But each platform has developed its own preferences for which sources to trust and return to.

The "Optimize Once" Reality

This doesn't mean you need different content strategies for each platform. Quality content that serves user needs can surface on both. The difference is in how each platform distributes that visibility.

AI Overviews may cite you frequently across many queries once you're in its trusted set.

ChatGPT may cite you precisely for the specific queries where you're the best source.

Both are wins. Understanding the pattern helps you interpret your visibility data correctly.

What This Means for Brands

Track Both Scoreboards

The concentration difference means raw citation counts will look different across platforms — and that's expected.

A source cited 20 times by AI Overviews and 5 times by ChatGPT isn't necessarily "losing" on ChatGPT. It may simply reflect the different distribution curves. ChatGPT's 5 citations might represent 5 highly specific queries where your content was the best match.

Conversely, being cited 0 times by AI Overviews but 15 times by ChatGPT doesn't mean AI Overviews is ignoring you — your content may simply serve queries that ChatGPT handles differently than AI Overviews.

Understand Your Category

The concentration patterns may vary by category. Buying guides and category-level content may see more reuse on AI Overviews. Deep product-specific reviews may see more precise matching on ChatGPT.

This aligns with what we found earlier: AI Overviews leans on editorial and UGC content (YouTube, Reddit, review sites) while ChatGPT leans on retailer and product sources. The concentration data adds another layer — AI Overviews not only favors different source types, it returns to those sources more repeatedly.

One Strategy, Two Visibility Patterns

The actionable insight isn't "build two strategies." It's "measure two outcomes."

Same content optimization. Same focus on quality, relevance, and user value. But when you check your AI visibility metrics, expect to see different patterns:

AI Overviews: Fewer total queries, but higher citation frequency per query when you do appear.

ChatGPT: More total queries in your addressable universe, but lower citation frequency as visibility spreads across more sources.

Both patterns represent success. Understanding them helps you set appropriate benchmarks and interpret your data correctly.

Technical Methodology

Data Source: BrightEdge AI Catalyst

Analysis Approach:

  • eCommerce prompts analyzed across Google AI Overviews and ChatGPT

  • Citation sources extracted and categorized by domain and URL

  • Domain concentration calculated (share of citations held by top domains)

  • URL reuse patterns measured (how many prompts cite the same URL)

  • Cross-platform comparison for shared vs. platform-exclusive sources

Key Metrics:

  • Top 10 domain concentration (% of total citations)

  • Single URL maximum reuse (% of queries citing one URL)

  • URL uniqueness rate (% of URLs cited only once)

  • Domain overlap analysis across platforms

Measurement Period: Holiday Shopping Season 2025

Key Takeaways

The Concentration Gap: AI Overviews' top 10 domains capture 39% of citations. ChatGPT's top 10 capture just 22%. AI Overviews goes deep with trusted sources. ChatGPT goes wide across more.

The Reuse Pattern: AI Overviews' most-cited single URL appears in ~26% of shopping queries. ChatGPT's most-cited URL appears in ~1%. AI Overviews returns to favorites. ChatGPT pulls fresh sources.

The Uniqueness Rate: 61% of URLs cited by ChatGPT appear in only one query. ChatGPT finds specific sources for specific queries rather than reusing general pages.

The Platform Favorites: Each platform has sources it trusts and returns to repeatedly — and they're often different sources. The same quality content can win on both, but visibility patterns will differ.

The Measurement Reality: Same optimization strategy works for both platforms. But understanding the different distribution curves helps you interpret visibility data and set appropriate benchmarks.        

Industry Implications:

This research adds nuance to how marketers should think about AI search visibility. The earlier finding — that AI Overviews cites the crowd while ChatGPT cites the store — explained WHO each platform trusts. This concentration analysis explains HOW each platform distributes that trust.

For brands tracking AI visibility, the implication is clear: don't compare raw citation counts across platforms without understanding the underlying distribution patterns. A citation on AI Overviews may represent one of many queries where that source appears. A citation on ChatGPT may represent a precise match for a specific query.

Both matter. Both represent visibility. But they measure different things — and understanding that difference is essential for accurate performance tracking as AI search evolves.

Download the Full Report

Download the AI Overviews Goes Deep. ChatGPT Goes Wide

Download PDF

Click the button above to download the full report in PDF format.

Published on December 16, 2025

 

BrightEdge Data Showcases Why Google Still Wins The Holiday Shopping Journey

BrightEdge Data Showcases Why Google Still Wins The Holiday Shopping Journey

Black Friday and Cyber Monday shopping data from BrightEdge reveals a pivotal divergence in AI commerce as ChatGPT declares ‘Code Red’

 

San Mateo, California - December 15, 2025 - BrightEdge, the global leader in AI-driven organic search, content, and digital marketing automation, today released new findings from its AI Market Pulse, revealing a pivotal divergence in how Google AI Overviews and ChatGPT guide holiday shopping. The data shows Google's AI strategy is winning by guiding consumers’ research phase, a direct contrast to ChatGPT’s increasingly transactional approach, and actively bolstering Google’s overall market share.

 

In a high-stakes holiday season, this trust-building is crucial to maintaining Google’s dominance. Following an initial market share rebound in October —the first since the AI search surge— Google continues to capture 90% of all organic search traffic, demonstrating its foundation of trust is significantly more effective than its AI competition for guiding transactions.

 

The Shopper’s Choice: Trusted Advisor vs. Eager Salesperson

The holiday shopping season confirmed that when a major purchase is on the line, such as a gift for a loved one, consumers are reluctant to fully delegate their decision. BrightEdge’s analysis reveals that consumers are still building trust in AI search results, and doing so more effectively when reviewing Google AI Overview’s suggestions versus ChatGPT’s:

  • The Trusted Advisor: Google AI is focused on being helpful, leaning towards assistance over immediate transactions. With direct retailers composing only 4% of its citations, Google AIO focuses instead on unbiased editorial sites such as Reddit and Quora.
  • The Eager Salesperson: Conversely, ChatGPT employs a transactional focus. With 9x more direct links to retailers compared to Google AIO, it directs consumers to a purchase when they may not be ready, often bypassing the crucial research step that so many are still seeking to navigate.

 

“The AI search battle has split into two philosophies, and Google is winning because it has the resources and understanding to serve as your trusted friend while ChatGPT often feels like the salesperson rushing you to the register,” said Jim Yu, CEO of BrightEdge. “Google continues to dominate the market because it’s delivering on the simple but crucial promise of AI: to make the research phase of shopping easier.”

 

The Rippling Impact on AI Search Market Share

Zooming out to the broader market competition, the experience of the average consumer during holiday shopping is shaping market share for the competing search engines, traditional, and AI-based. While Google controls 90% of all searches, ChatGPT and other AI search engines still comprise well under 1% of overall organic search traffic. 

 

The recent internal ‘Code Red’ declared by OpenAI underscores the difficulty of competing with Google’s integrated model for high-value shopping intent. OpenAI’s need for revenue forces ChatGPT to prioritize a faster transactional path, a move that compromises user experiences by making the results feel less objective. Meanwhile, Google’s established platform allows its AI to be purely helpful without forcing consumers along, maximizing trust and surprisingly, leading to more purchases down the funnel.

 

What This Means For Marketers

BrightEdge’s holiday data proves that marketers must adapt their strategy to optimize across consumer needs, especially with research assistance. It’s imperative that marketers win the research phase with authoritative, unbiased and socially-validated content. Further, content must be structured for both intents, discovery and transaction. 

 

With BrightEdge’s AI Catalyst, brands can monitor their visibility on both Google and ChatGPT, and other leading search options, understand how they are appearing and optimize once so they win everywhere. 

 

Find out more on AI Insights here

Reporters and analysts can access the full BrightEdge AI Market Pulse here.

Learn more about BrightEdge AI Catalyst here.

About BrightEdge
BrightEdge is the global leader in Enterprise SEO and AI-powered content performance. For more than 18 years, BrightEdge has helped thousands of brands and digital marketers, including 57% of the Fortune 500, transform online opportunities into measurable business results. Its industry-first platform integrates the most comprehensive dataset in search, combining insights from traditional SEO, digital media, social, and content with cutting-edge generative AI capabilities, including its deep learning engine DataMind, and AI Catalyst platform. Trusted by enterprises, mid-market companies, and leading digital agencies, BrightEdge continues to set the standard for innovation in search and AI, enabling brands to win by becoming an integral part of the digital experience.

Contact: press@brightedge.com

Press Release Date

See all Webinars

Black Friday vs. Cyber Monday 2024 vs. 2025: How Google's AI Overview Strategy Evolved in One Year

Using BrightEdge AI Catalyst, we analyzed AI Overview presence around Black Friday and Cyber Monday, comparing 2024 to 2025. After a year of testing, Google drew lines where AI Overviews belong in shopping — and the reveals an intent-based strategy.

Data Collected

We analyzed keywords at the same point heading into Black Friday and Cyber Monday across both years to understand:

  • Year-over-year changes in AI Overview deployment rates
  • Pixel height changes (how much screen real estate AIOs consume)
  • Category-level expansion patterns within eCommerce
  • Before/during/after timing patterns around each holiday
  • Search volume distribution across keywords with AIOs

Key Finding

Google expanded AI Overviews 3x more aggressively for Black Friday than Cyber Monday — and made them 65% larger year-over-year. The pattern reveals an intent-based strategy: AIOs dominate research moments (Black Friday) while traditional results still own purchase moments (Cyber Monday). Google isn't stepping aside for shopping anymore. They're leaning in — strategically.

The Year-Over-Year Expansion

Black Friday: +106% More Keywords with AIOs

Black Friday saw the most dramatic expansion. The number of keywords triggering AI Overviews more than doubled from 2024 to 2025.

This aligns with Black Friday's role as a research-heavy shopping moment. Consumers are hunting for deals, comparing options, and evaluating purchases. Google's AI Overviews are built for exactly this use case.

Cyber Monday: +37% More Keywords with AIOs

Cyber Monday saw meaningful expansion too — but at roughly one-third the rate of Black Friday.

Cyber Monday has evolved into a more transactional holiday. Shoppers have done their research; now they're ready to buy. Google's more conservative AIO expansion here suggests they recognize that traditional shopping results (carousels, PLAs, retail organic) better serve purchase-ready users.

The Intent Interpretation

The 3x expansion gap isn't random. It reflects Google's learning over the past year:

Research intent → Heavy AIO treatment (Black Friday mindset)

Purchase intent → Traditional results dominate (Cyber Monday mindset)

Google is matching SERP treatment to user intent, not just query volume or category.

The Size Shift: 65% More Screen Real Estate

Pixel Height Comparison

Black Friday AIOs averaged 826px in 2024 and grew to 1,368px in 2025 — a 65.6% increase.

Cyber Monday AIOs averaged 831px in 2024 and grew to 1,370px in 2025 — a 64.9% increase.

AI Overviews aren't just appearing on more keywords — they're consuming significantly more screen real estate when they do appear.

What This Means for Organic Visibility

A Position 1 organic ranking in 2025 sits roughly 540 pixels lower than the same ranking in 2024 — even if your actual position didn't change.

For context: 540 pixels is approximately half a standard desktop viewport. Content that was "above the fold" last holiday season may now require scrolling to reach.

The Q4 Trend

This wasn't a sudden holiday spike. Q4 2025 averaged 1,272px compared to Q4 2024's 823px — a 54.6% increase across the entire quarter. Google committed to larger AIOs heading into the shopping season and maintained that size throughout.

The Ramp-Up Pattern: Google's Pre-Holiday Expansion

2024: Flat Throughout November

In 2024, AI Overview pixel height remained remarkably consistent throughout the holiday shopping window. November 20 saw 821px, the day before Black Friday hit 832px, Black Friday itself was 826px, and Cyber Monday was 831px.

Variation of only ~10px across the entire period. Google appeared to be in testing mode — maintaining a steady presence without significant expansion.

2025: Deliberate Ramp-Up

2025 told a different story. Google progressively expanded AIO presence in the weeks leading up to Black Friday.

Four weeks before Black Friday, pixel height averaged 1,204px. Three weeks before, it grew to 1,298px. Two weeks before, it reached 1,307px. One week before, it hit 1,340px. During holiday week, it peaked at 1,371px.

That's a 14% increase in just four weeks — a clear signal that Google intentionally expanded AIO coverage heading into peak shopping.

The Strategic Implication

For 2026 planning: the optimization window may need to shift earlier. Content that earns AIO citations 3-4 weeks before peak shopping could establish presence before the real estate gets crowded. Waiting until November may be too late.

Category Expansion: Where Google Leaned In

eCommerce Share of AIOs Grew Significantly

On Black Friday, eCommerce's share of keywords with AIOs grew from 6.8% in 2024 to 10.1% in 2025 — a 35% increase. On Cyber Monday, it grew from 7.7% to 10.2% — a 32% increase.

Google didn't just expand AIOs overall — they specifically expanded coverage of shopping-related queries. eCommerce's share of the AIO pie grew by roughly one-third.

High-Volume Shopping Keywords

Keywords with 50,000+ monthly search volume that triggered AIOs grew from approximately 1.7% in 2024 to 2.7% in 2025 — a 59% increase in Google's willingness to serve AIOs on high-stakes, high-volume shopping queries.

The Categories That Saw the Biggest Expansion

TV & Home Theater saw the most dramatic growth at +242% for Black Friday and +57% for Cyber Monday. Electronics followed with +75% for Black Friday and +44% for Cyber Monday. Small Kitchen Appliances grew +43% for Black Friday and +42% for Cyber Monday.

These are core gift categories — and exactly where shoppers do the most research before purchasing. Queries like "best 65 inch tv," "ninja vs vitamix," and "top chromebooks" now live in AIO territory.

What Stayed Flat

Apparel saw slight contraction (-4% to -9%) and Home Furnishings declined (-29% to -30%). Google appears more aggressive with AIOs in categories where research and comparison shopping dominate, less aggressive where visual browsing and personal taste drive decisions.

The "No Pullback" Finding

Did Google Step Aside During Peak Shopping?

One theory heading into 2025 was that Google might reduce AIO presence during actual shopping days — letting transactional results take over when users are ready to buy.

The data says otherwise.

Black Friday 2025 Timing Distribution

Keywords with AIOs were distributed almost perfectly across the window: 33.3% the day before, 33.3% on Black Friday itself, and 33.4% the day after. Google maintained consistent AIO presence throughout the shopping window — no pullback during the peak.

Cyber Monday 2025 Timing Distribution

Same pattern: 33.5% the day before, 33.4% on Cyber Monday, and 33.2% the day after. Google isn't temporarily stepping aside for shopping moments anymore. AIOs are a persistent feature of the shopping SERP.

What Google Learned (And What It Means)

The 2024 Testing Phase

Last year's flat pixel heights and moderate expansion suggested Google was still experimenting — testing where AIOs helped users and where they got in the way.

The 2025 Commitment

This year's data shows Google has reached conclusions:

AIOs help shoppers research. The massive Black Friday expansion (research mode) vs. moderate Cyber Monday expansion (purchase mode) shows Google matching AIO presence to intent.

Bigger AIOs don't hurt engagement. The 65% size increase suggests Google's internal metrics support larger AI-generated content blocks for shopping queries.

Category matters. Electronics, appliances, and TV/home theater saw aggressive expansion. Apparel and furnishings didn't. Google is selective about where AIOs add value.

Timing matters less than expected. No significant pullback during peak shopping days means AIOs are now a permanent fixture, not a situational feature.

Strategic Implications for Brands

Two Metrics Now Matter

The old model: track your rank position, measure traffic.

The new model: track two different metrics depending on query intent.

For research queries (Black Friday mindset): Track citation share in AI Overviews and visibility within AIO content. These queries saw the heaviest AIO expansion.

For purchase queries (Cyber Monday mindset): Track traditional rank position, Shopping carousel presence, and PLA performance. These queries saw more conservative AIO growth.

Same content calendar. Different success metrics depending on intent.

The Optimization Window Shifted

2024: Optimize in November, compete during peak shopping.

2025+: Optimize in October (or earlier), establish AIO presence before the ramp-up begins.

Google's 14% pre-holiday expansion suggests that waiting until the shopping season to optimize for AIOs puts you behind brands who started earlier.

Category-Specific Planning

If you're in TV/Electronics/Small Appliances: AIOs are now a major part of your competitive landscape. These categories saw the biggest expansion — TV & Home Theater grew +242%, Electronics +75%, and Small Kitchen Appliances +43%. Plan for AIOs as a persistent SERP feature.

If you're in Apparel/Home Furnishings: AIOs expanded less aggressively — Apparel contracted slightly and Home Furnishings declined significantly. Traditional SEO may still deliver more impact than AIO-specific strategies in these categories.

Technical Methodology

Data Source: BrightEdge AI Catalyst

Analysis Approach:

  • Keywords analyzed at equivalent points around Black Friday and Cyber Monday in 2024 and 2025
  • AI Overview presence tracked by date, industry, and category
  • Pixel height data tracked daily throughout Q4 2024 and Q4 2025
  • Search volume distribution analyzed across keywords with AIOs
  • Category-level breakdowns by L0/L1 taxonomy

Measurement Periods:

  • Black Friday 2024: November 28-29, 2024
  • Cyber Monday 2024: December 1-3, 2024
  • Black Friday 2025: November 27-29, 2025
  • Cyber Monday 2025: November 30 - December 2, 2025

Pixel Height Tracking: Daily averages across tracked keyword set

Key Takeaways

The Expansion Gap: Black Friday saw +106% more keywords with AIOs YoY; Cyber Monday saw +37%. Google expanded 3x more aggressively for research moments than purchase moments.

The Size Shift: AI Overviews grew 65% larger YoY (~826px → ~1,368px). Same rankings now mean less visibility above the fold.

The Ramp-Up Pattern: 2025 showed a 14% increase in AIO pixel height in the 4 weeks before Black Friday. 2024 was flat. Google now deliberately expands heading into peak shopping.

The Category Story: TV & Home Theater (+242%), Electronics (+75%), and Small Kitchen Appliances (+43%) saw the biggest AIO expansion. Core gift categories are now AIO territory.

The No-Pullback Reality: Google maintained consistent AIO presence before, during, and after both holidays. No stepping aside for peak shopping.

The Intent Strategy: Google matches AIO presence to user intent — heavy for research, lighter for purchase. Your metrics should do the same.

Industry Implications:

This research confirms that Google's AI Overview strategy for shopping has moved from experimentation to execution. The 2024 testing phase produced clear conclusions that drove 2025's deliberate expansion.

For SEO and digital marketing professionals, the implications are significant:

The SERP you optimized for last holiday season no longer exists. Position 1 sits 540+ pixels lower than it did in 2024. AIO citation share is now a critical metric for research-phase queries.

Intent segmentation is essential. A single "holiday SEO strategy" no longer makes sense. Research queries and purchase queries require different optimization approaches and different success metrics.

The optimization window moved earlier. Google's pre-holiday ramp-up means establishing AIO presence in October, not November. Brands who wait until peak shopping to optimize are already behind.

Google is committed to AIOs for shopping. The theory that Google would step aside during peak transactional moments has been disproven. AIOs are a permanent fixture of the shopping SERP — plan accordingly for Holiday 2026.

Download the Full Report

Download the full AI Search Report — Black Friday vs. Cyber Monday 2024 vs. 2025: How Google's AI Overview Strategy Evolved in One Year

Download PDF

Click the button above to download the full report in PDF format.

Published on December 10, 2025

Who Does AI Trust When You Search for Deals? Google vs. ChatGPT Citation Patterns Reveal Different Shopping Philosophies

Using BrightEdge AI Catalyst, we analyzed tens of thousands of eCommerce prompts across Google AI Overviews and ChatGPT during the holiday shopping season. The citation patterns reveal two fundamentally different approaches to helping users shop.

Data Collected

Analyzed citation sources across both AI platforms to understand:

  • Which domains each AI cites for shopping queries
  • Retailer vs. third-party citation distribution
  • How the same queries produce different source selections
  • The underlying philosophy driving each platform's approach

Key Finding

Google AI Overviews cite retailers only ~4% of the time, leaning heavily on YouTube, Reddit, and editorial sources. ChatGPT cites retailers ~36% of the time — a 9x difference. The reason? Google's AIOs sit above Shopping carousels that handle transactions, so they can focus on research. ChatGPT has to serve both needs in one response.

The Citation Divide

Google AI Overviews: "The Crowd"

Top cited sources for shopping queries: 

  1. YouTube
  2. Reddit
  3. Quora
  4. Amazon
  5. Facebook

Retailer share of citations: ~4%

Google's AI Overviews lean heavily on user-generated content and editorial sources. YouTube product reviews, Reddit discussions, and Quora Q&A threads dominate the citation landscape for eCommerce queries.

ChatGPT: "The Store"

Top cited sources for shopping queries:

  1. Amazon
  2. Target
  3. Walmart
  4. Home Depot
  5. Best Buy

Retailer share of citations: ~36%

ChatGPT's citations skew heavily toward retailers and product pages. Major marketplaces and retail sites appear at the top, with editorial and UGC sources playing a smaller role.

Same Query, Different Sources

Example: "Costco TV Sale"

Google AI Overview cites:

ChatGPT cites:

When users search for a specific retailer's deals, Google still routes them through community discussion first. ChatGPT goes directly to the source.

Example: "Best Immersion Blender"

Google AI Overview cites:

  • Serious Eats
  • Food & Wine
  • The Spruce Eats
  • CNET
  • YouTube

ChatGPT cites:

  • Amazon
  • Consumer Reports

For research-phase queries, Google cites editorial reviews and recipe sites. ChatGPT cites the marketplace where you can buy immediately.

Why the Difference? Context Matters

Google's Advantage: The Full SERP

Google AI Overviews don't exist in isolation. They sit atop a full search results page that includes:

  • Shopping carousels with product listings
  • Product listing ads (PLAs)
  • Organic retailer results
  • Price comparisons

Because the transactional elements already exist below the AI Overview, Google can afford to make the AIO purely informational. The citation strategy reflects this: cite the crowd for research, let Shopping results handle the purchase.

ChatGPT's Reality: One Response

ChatGPT doesn't have a Shopping carousel underneath. The AI response IS the entire experience. This forces ChatGPT to serve both needs simultaneously:

  • Provide helpful product information
  • Give users a path to purchase

The higher retailer citation rate reflects this necessity — ChatGPT has to be both the research assistant AND the shopping guide.

What Each AI Prioritizes

Google AI Overviews Prioritize:

User-Generated Content

  • YouTube product reviews and unboxings
  • Reddit community discussions (r/BuyItForLife, r/Appliances, brand-specific subreddits)
  • Quora Q&A threads

Editorial Reviews

  • Serious Eats, Food & Wine, The Spruce Eats (kitchen products)
  • Rtings, CNET, Consumer Reports (electronics)
  • Wirecutter, TechRadar, Tom's Guide (tech products)

Why: Google assumes users in the AI Overview are still researching. The shopping infrastructure below handles conversion.

ChatGPT Prioritizes:

Major Retailers

  • Amazon (dominant across categories)
  • Target, Walmart (general merchandise)
  • Home Depot, Lowe's (home improvement)
  • Best Buy (electronics)

Brand Sites

  • Manufacturer product pages
  • Brand-specific information

Editorial (Secondary)

  • Consumer Reports
  • Category-specific review sites

Why: ChatGPT needs to provide a complete answer, including where to buy. Retailer citations serve that need directly.

The Philosophy Behind the Citations

Google's Approach: "What Do Real People Say?"

Google's citation pattern reveals a philosophy of objectivity through community consensus. By citing YouTube reviewers, Reddit discussions, and editorial reviews, AI Overviews position themselves as aggregators of authentic opinion.

This makes strategic sense: Google doesn't need to push users toward purchase — the Shopping results, PLAs, and retail organic listings already do that. The AIO can focus purely on being helpful for research.

ChatGPT's Approach: "Where Can You Get This?"

ChatGPT's citation pattern reveals a philosophy of utility through directness. By citing retailers and product pages, ChatGPT aims to shorten the path from question to purchase.

This also makes strategic sense: without a commercial infrastructure below the response, ChatGPT serves users best by including purchase pathways directly in the answer.

Strategic Implications for Brands

Understanding Visibility Across Platforms

The same content can surface differently depending on which AI a user asks. Brands should monitor visibility across both platforms:

On Google AI Overviews, look for:

  • YouTube content citations
  • Reddit/community mentions
  • Editorial review coverage
  • UGC and social proof signals

On ChatGPT, look for:

  • Retail listing citations
  • Product page references
  • Marketplace presence
  • Brand site mentions

Content That Works Across Both

Quality content surfaces on both platforms — but in different contexts:

  • Product reviews on YouTube → Cited by Google AIOs
  • Strong Amazon listings → Cited by ChatGPT
  • Editorial coverage → Cited by both (Google more frequently)
  • Brand product pages → Cited by ChatGPT primarily

The Monitoring Framework

Rather than building separate strategies, brands should track where their content appears:

YouTube reviews

  • Google AIO Visibility: High
  • ChatGPT Visibility: Low

Reddit presence

  • Google AIO Visibility: High
  • ChatGPT Visibility: Low

Editorial coverage

  • Google AIO Visibility: High
  • ChatGPT Visibility: Medium

Retail listings

  • Google AIO Visibility: Low
  • ChatGPT Visibility: High

Product pages

  • Google AIO Visibility: Low
  • ChatGPT Visibility: HighRetryClaude can make mistakes. Please double-check responses.

Your content surfaces differently on each platform. Use AI search tracking tools to monitor:

  • Which of your pages get cited on Google AIOs
  • Which get cited on ChatGPT
  • How citation patterns shift over time

Understand What Drives Citations

For Google AIO visibility:

  • Invest in YouTube product content
  • Engage authentically in Reddit communities
  • Pursue editorial review coverage
  • Create content that answers "which should I buy?" questions

For ChatGPT visibility:

  • Optimize retail listings and product pages
  • Ensure strong marketplace presence
  • Keep product information current and comprehensive
  • Maintain accurate brand site content

Let Each Platform Do Its Job

Google cites the crowd because Shopping results handle transactions. ChatGPT cites retailers because it has to do both. Your content strategy doesn't need to force either platform to behave differently — optimize your content, and each AI will use it where it fits.

Coming Next

This analysis focused on citation patterns — which sources each AI trusts for shopping queries.

Up next: Our full Black Friday and Cyber Monday post-mortem, examining how Google's AI Overview strategy evolved from 2024 to 2025 and what it signals for holiday shopping in 2026.

Technical Methodology

Data Source: BrightEdge AI Catalyst

Analysis Approach:

  • eCommerce prompts analyzed across Google AI Overviews and ChatGPT
  • Citation sources extracted and categorized by domain
  • Domains classified by type (retailer, UGC/social, editorial, brand)
  • Same prompts compared across platforms where possible
  • Week-over-week citation changes tracked

Measurement Periods:

Holiday Shopping Season 2025

Key Takeaways

  • The 4% vs. 36% Divide: Google AIOs cite retailers ~4% of the time; ChatGPT cites retailers ~36% — a 9x difference
  • The Source Hierarchy: Google leads with YouTube/Reddit/Quora; ChatGPT leads with Amazon/Target/Walmart
  • The Context Explanation: Google can focus on research because Shopping results handle purchase; ChatGPT has to do both
  • The Same-Query Difference: Identical searches produce different source selections based on each platform's philosophy
  • The Strategic Reality: Brands should monitor visibility on both platforms and understand where their content surfaces

Industry Implications:

This research reveals that "AI search optimization" isn't a single discipline — it's platform-specific based on how each AI approaches user intent.

Google's AI Overviews operate as a research layer above a transactional infrastructure. ChatGPT operates as a complete response that must serve multiple needs simultaneously. These different contexts drive fundamentally different citation strategies.

For brands, the implication is clear: the same content can win on both platforms, but understanding where and why each AI cites sources helps you measure success accurately. Track your visibility across both scoreboards, and optimize content that serves users at every stage of the journey.

Download the Full Report

Download the full AI Search Report — Who Does AI Trust When You Search for Deals? Google vs. ChatGPT Citation Patterns Reveal Different Shopping Philosophies

Download PDF

Click the button above to download the full report in PDF format.

Published on December 03, 2025

 
See all Webinars
Please reach out to your CSM or event_planning@brightedge.com for any questions/comments/suggestions.
Hero Image

BrightEdge AI Search Summit Melbourne — Highlights & Replay

Exclusive insights from David Jones, Torrens University, Fiji Airways

Theme: Optimise AI Search for Enterprise

Date: Thursday, 13 November 2025

Time: 10:00 – 4:00 PM AEST 

Location: The Langham, Melbourne ,1 Southgate Ave, Southbank VIC 3006

Access On-Demand Recording

 

 

 

 
Note: We respect your privacy. We'll only use your info to send event updates.

 
 

 

Filmed live at The Langham, Melbourne, Melbourne — 13 November 2025

Speakers

Bevan Morris

General Manager E-commerce,
David Jones

Anastasiia Zakharenkova

Senior Marketing Manager,
Torrens University

Jameel Mohammed

Senior Manager Digital & Ecommerce,
Fiji Airways  

Ran Van Riper

SVP, Cust Success,
BrightEdge

Kylie Tabrett

Head APAC,
BrightEdge 

Highlights from November 13

Keynote presentation icon

Keynote

Ran Van Riper on where AI search is headed and how to operationalize it

Customer success story icon

Customer Spotlight

Bevan Morris (David Jones), Anastasiia Zakharenkova (Torrens University), and Jameel Mohammed (Fiji Airways) on what’s working now and what’s next.

Live demo icon

Market Snapshot

Current trends, buyer behavior, and adoption signals shaping AI search locally.

Why AI Search Summit Matters

AI-first Execution, Proven Results

Case studies from Fiji Airways, David Jones, Torrens University.

Practical Innovation
 

Real discussions, real impact.
 

Community & Networking
 

100+ digital leaders came together
 

BrightEdge team collaboration

Be part of the conversation shaping AI-powered search.

Need help? event_planning@brightedge.com 

Access the On-Demand Recording

BrightEdge Data Featured in Vogue's Analysis of AI-Powered Holiday Shopping

English, British
News Item Title
BrightEdge Data Featured in Vogue's Analysis of AI-Powered Holiday Shopping
News Item Author Name
Vogue
News Item Published Date
News Item Summary

Vogue’s feature on how AI is shaping this year’s holiday shopping season cites BrightEdge’s latest research and includes commentary from CEO Jim Yu. The article uses BrightEdge data to show a 752% YoY rise in AI-driven shopping queries and explains how brands are adjusting product pages, FAQs, and structured data to stay visible as AI-led discovery reshapes retail search behavior.

News Item Link
https://www.vogue.com/article/will-ai-be-this-holiday-shopping-seasons-santa
Show as Featured News
Off

This Holiday Season, Consumers Are Embracing AI — How Marketers Can Prepare

English, British
News Item Title
This Holiday Season, Consumers Are Embracing AI — How Marketers Can Prepare
News Item Author Name
Forbes
News Item Published Date
News Item Summary

The article examines how more consumers are relying on AI tools this holiday season to discover and compare products, and it draws on data from BrightEdge about surging AI-driven referrals and changing search behavior. It urges marketers to update their SEO and content strategies — including structured data, user experience and content depth — to stay visible as AI reshapes search and shopping habits.

News Item Link
https://www.forbes.com/sites/cmo/2025/11/19/this-holiday-season-consumers-are-embracing-ai-how-marketers-can-prepare/
Show as Featured News
Off

How AI Search Is Changing the Way Conversions are Measured

English, British
News Item Title
How AI Search Is Changing the Way Conversions are Measured
News Item Author Name
Bing Webmaster Blog
News Item Published Date
News Item Summary

This B​ing post explains how AI-powered search is shifting conversions upstream — from clicks to visibility, citations, and answer-inclusion. It highlights how impressions and placement in AI replies now matter more than simple clicks, and cites early data showing AI-search traffic converting at equal or higher rates than traditional organic channels, reinforcing the need for structured content and conversational-ready pages.

News Item Link
https://blogs.bing.com/webmaster/November-2025/How-AI-Search-Is-Changing%E2%80%AFthe%E2%80%AFWay%E2%80%AFConversions%E2%80%AFare-Measured
Show as Featured News
Off
Subscribe to
,