Data Collected: Monitored brand mention and citation patterns across four major AI platforms using BrightEdge AI Catalyst to analyze:

• Brand mention rates by engine and industry
• Citation source preferences and domain diversity
• Prompt patterns that trigger brand visibility
• Industry-specific behavioral differences
• Holiday and seasonal query performance

Key Finding: Each AI engine has a distinct "personality" that determines brand visibility. ChatGPT mentions brands in 99.3% of eCommerce responses while Google AI Overview includes them in just 6.2%. These aren't random variations—they're fundamental design differences that shape how customers discover products.

The Big Numbers

• 99.3% of ChatGPT eCommerce responses include brands
• 6.2% of Google AI Overview responses mention brands
• 41.3% of ChatGPT citations go to retail/marketplace domains
• 62.4% of Google AI Overview citations go to YouTube
• 8,027 unique domains cited by Perplexity (most diverse)
• 2,127 unique domains cited by ChatGPT (most concentrated)

Brand Mention Patterns by Engine

The Brand Maximizer: ChatGPT

• 5.84 average brands per eCommerce response
• 99.3% of responses include brand mentions
• 24 maximum brands in a single response
• Heavily favors established retail giants
• Amazon appears in 61.3% of citations

The Minimalist: Google AI Overview

• 0.29 average brands per eCommerce response
• 6.2% of responses include any brands
• 19 maximum brands in a single response
• Appears alongside organic results that handle commercial intent
• Prioritizes educational content over brand listings

The Balanced Performer: Google AI Mode

• 5.44 average brands per eCommerce response
• 81.7% of responses include brands
• 30 maximum brands in a single response
• Strong preference for brand/OEM sites (15.2% of citations)
• Balances commercial and informational content

The Citation Champion: Perplexity

• 4.37 average brands per eCommerce response
• 85.7% of responses include brands
• 45 maximum brands in a single response
• 8.79 average citations per response (highest)
• Most diverse source pool with 8,027 unique domains

Domain Citation Patterns

Where Each Engine Gets Its Information

Retailer/Marketplace Dominance:

• ChatGPT: 41.3% (Amazon, Target, Walmart lead)
• Perplexity: 21.2% (more balanced distribution)
• Google AI Mode: 14.5%
• Google AI Overview: 4.7%

Social/Community Reliance:

• Google AI Overview: 12.3% (YouTube 62.4%, Reddit 25.4%)
• Google AI Mode: 4.6%
• Perplexity: 4.6%
• ChatGPT: 0.4% (almost never cites social)

Brand/OEM Sites:

• Google AI Mode: 15.2% (highest brand site preference)
• ChatGPT: 5.5%
• Perplexity: 4.1%
• Google AI Overview: 2.6%

The "Other" Category: 48-77% of citations come from specialized sites beyond major platforms—industry publications, niche experts, and topic-specific resources. This long tail represents significant opportunity for specialized content creators.

Winning Prompt Patterns

Keywords That Trigger Maximum Brand Mentions

1. "Budget/Affordable/Cheap" → 6.3-8.8 brands per response
2. "Best/Top" rankings → 4.7-6.2 brands per response
3. "Deals/Sales/Discount" → 6.2-8.3 brands per response
4. "Buy/Shop/Purchase" → 5.8-7.8 brands per response
5. "Compare/vs/versus" → 4.5-5.8 brands per response

Holiday Performance Boost

• Holiday-specific prompts generate 12% more brand mentions
• Gift queries average 6.5 brands vs 5.8 for general queries
• Perplexity delivers 9.4 citations for holiday searches
• Deal/discount queries see the highest brand density

Industry Variations

While our analysis focused on eCommerce, the behavioral patterns persist across industries:

• B2B Tech: High brand mentions for software comparisons
• Healthcare: Conservative brand mentions, higher citation requirements
• Finance: Institution names and product brands prominent
• Restaurants: Chain brands dominate mentions
• Travel: Hotels, airlines, booking platforms as primary brands

Strategic Takeaways

Understanding Engine Behaviors

ChatGPT treats most commercial queries as requiring comprehensive brand options. It prioritizes being helpful through extensive listings rather than selective recommendations.

Google AI Overview intentionally minimizes commercial content, relying on organic results for transactions while using AI for educational guidance.

Perplexity balances brand mentions with extensive source citations, appealing to research-oriented users who value transparency.

Google AI Mode strikes a middle ground, providing substantial brand information while maintaining source credibility.

The Market Context

While Google maintains 90% of search market share, these emerging AI engines influence high-value customers during research phases. ChatGPT and Perplexity users often represent early adopters and decision-makers who turn to AI for comprehensive analysis rather than simple searches.

Optimization Priorities

1. Don't pick favorites - Optimize for all engines with a unified strategy
2. Ensure retail presence - Major marketplaces are crucial for ChatGPT visibility
3. Build authority content - Perplexity rewards comprehensive, citable resources
4. Leverage video - YouTube dominates Google AI Overview citations
5. Target trigger keywords - "Budget," "best," and comparison terms guarantee mentions
6. Monitor the long tail - 48-77% of citations come from specialized sites

The 2025 Opportunity

The data reveals clear patterns: certain keywords trigger predictable brand mention rates, specific content types earn more citations, and each engine has distinct preferences. Brands that understand these patterns can optimize once but win everywhere—ensuring visibility regardless of which AI engine customers choose.

The surprise finding? Review sites perform equally across all engines (3.6-5.3% of citations), suggesting this content type transcends individual engine preferences. Meanwhile, most brands haven't yet adapted to these behavioral differences, creating significant first-mover advantage for those who act now.

Data Collected:
Tracked performance metrics for tens of thousands of keywords from 2022–2025 using BrightEdge SearchIQ to analyze how top-ranking pages evolved across:

• On-page optimization
• Schema implementation
• Technical performance

Key Finding:
Top-ranking pages doubled schema usage when ChatGPT launched, improved performance scores by 20% despite pages becoming 43% heavier, and achieved 97% schema adoption by 2025—proving SEO fundamentals matter more than ever in the AI era.

The Big Numbers

• 97% of top results now use schema markup (up from 93%)
• 2X increase in structured data usage (9.6 → 18.5 schemas per SERP)
• 20% improvement in performance scores
• 50% faster interactivity (FID)
• 32% improvement in server response times

The Evolution Timeline

2022: The Baseline

• Pre-ChatGPT era
• Avg. 9.6 schemas per SERP
• SEO Score: 0.89
• Performance Score: 0.426

2023: The Explosion

• ChatGPT goes mainstream (Nov 2022)
• Schema usage nearly doubles overnight
• First signs of content evolution

2024: The Refinement

• Google AI Overviews launch (May)
• Technical optimization accelerates

2025: The New Normal

• 97% schema adoption
• SEO Score: 0.92
• Performance Score: 0.512

Takeaways from Data

1. Structured Data Became Non-Negotiable
   When ChatGPT launched in late 2022, schema markup usage nearly doubled within months. Top pages now average 17+ schema types vs. just 9 in 2022. This isn’t coincidence—it’s adaptation.
2. Technical Excellence Drives Rankings
   Despite pages becoming 43% heavier, performance scores improved 20%. Server response times improved 32%, interactivity improved 50%, and Core Web Vitals became a competitive differentiator.
3. Quality Beats Quantity
   Content got 13% shorter while SEO scores improved. Pages grew 18% larger in file size while reducing word count. The message: focused, structured, technically excellent content outperforms long-form keyword stuffing.

Data Collected: Monitored AI Overview presence across ecommerce keywords from September 7-30, 2025 using BrightEdge Generative Parser™ to analyze:

• Coverage changes by category

• Query type patterns

• Search volume distribution

• Category-level deployment strategies

Key Finding: AI Overview presence jumped from 14.4% to 20.7% of ecommerce queries in just 23 days—but the expansion targeted specific product queries while leaving comparison and review content untouched, creating distinct optimization paths for different content types.

The Big Numbers

• 43.6% growth in AI Overview presence (Sept 7-30)

• 20.7% of ecommerce searches now show AI Overviews (up from 14.4%)

• 32% of new AI Overviews concentrated in Home products

• 0% new AI Overview coverage for review keywords

• 2.8 words average query length for new AI Overviews

The Category Breakdown

Where AI Overviews Are Expanding

Home Products

• 32% of all new AI Overview expansion

• Focus on appliances and comfort items

• High gift potential for Q4

Apparel

• 28% of new AI Overview coverage

• Specific clothing items vs. categories

• Mid-volume search terms dominate

Small Kitchen Appliances

• 13% of expansion

• Air fryers leading coverage

• Perfect timing for holiday gifting

Electronics

• High-value products like iPhone 13

• Specific model searches vs. category terms

• Gift-worthy items prioritized

Where Traditional Organic Still Dominates

Review Content

• 0% new AI Overview deployment

• Complete preservation of organic results

• Safe territory for investment

Comparison Queries

• "X vs Y" searches remain organic-only

• No AI Overview growth detected

• Traditional SEO tactics still win

"Best Of" Content

• 94% remain without AI Overviews

• Buying guides stay in organic results

• Minimal disruption risk

Query Patterns That Trigger AI Overviews

High AI Overview Presence

Product-Specific Searches

• "What are good air fryers"

• "What is the latest iPhone"

• Direct product information queries

• 79% of all new AI Overviews

Mid-Volume Keywords

• 10K-100K monthly searches

• Sweet spot for AI deployment

• Lower competition than head terms

• Higher intent than long-tail

Short Product Queries

• Average 2.8 words

• Not long-tail, not head terms

• Specific but accessible

• Natural language patterns

Low/No AI Overview Presence

High-Volume Head Terms

• Category-level searches

• Minimal AI Overview coverage

• Traditional SEO battleground

• Preserved for organic competition

Review-Focused Queries

• "[Product] reviews"

• User opinion searches

• 100% organic results

• No AI interference

Comparison Content

• Versus queries

• Alternative searches

• Evaluation intent

• Pure organic territory

Takeaways from Data

1. Google's Surgical Deployment: The 43.6% growth isn't universal—it's concentrated in gift-worthy categories (Home, Apparel, Electronics) while completely avoiding review and comparison content.

2. Two-Track Optimization Required: Product pages need AI Overview optimization while comparison/review content should focus on traditional organic rankings—they're not competing for the same visibility.

3. Mid-Tail Opportunity: Google favors 10K-100K search volume keywords with 2-3 word queries—not head terms or long-tail. This sweet spot represents the best ROI for AI Overview optimization.

4. Review Content Safe Haven: With 0% new AI Overview coverage on review keywords and comparison queries, these content types remain pure organic plays—invest confidently without AI disruption concerns.

5. Holiday Timing Not Coincidental: The September surge in gift categories (appliances, electronics, apparel) signals Google's preparation for holiday shopping queries. Brands need visibility strategies for both AI and organic formats.

Data Collected: Monitored AI Overview coverage across 9 industries from May 2024-September 2025 using BrightEdge Generative Parser™ to analyze:

• Industry adoption rates
• Query intent patterns
• Subcategory performance
• Rollout phases

Key Finding: AI Overview coverage grew from 26.6% to 44.4% overall, but the real story is the intent hierarchy—Healthcare hits 83.6% with informational queries while eCommerce declined to 18.5% as Google protects transactional searches.

The Big Numbers

• 44.4% of queries now show AI Overviews (up from 26.6%)
• 5.5X growth in Education (15.4% → 85.2%)
• 100% AI Overview adoption in technical subcategories
• -8.7pp decline in eCommerce (only declining industry)
• <20% coverage for Finance & Restaurants

The Rollout Timeline

May 2024: Strategic Launch

• Healthcare leads at 67.6%
• B2B Tech at 34.2%
• eCommerce at 27.2%
• Focus on high-trust informational queries

September 2024: Public Rollout

• Education explodes (+42pp overnight)
• Insurance surges (+22pp)
• eCommerce drops to 8.8%
• Clear pivot to educational content

December 2024: Expansion

• Travel accelerates (8.1% → 36.9%)
• Healthcare reaches 84.2%
• Commercial queries remain suppressed

September 2025: Current State

• Education dominates at 85.2%
• Entertainment emerges at 45.9%
• eCommerce rebounds slightly to 18.5%
• Finance still minimal at 17.9%

The Intent Hierarchy

High Coverage (60-85%)

• "What is/How does" queries
• Medical definitions & symptoms
• Technical documentation
• Educational concepts
• Research comparisons (non-transactional)

Low Coverage (<20%)

• "Buy X online" queries
• Local commercial searches
• Financial advice
• Direct brand navigation
• Pure transactional intent

Takeaways from Data

1. Google Protects Commercial Revenue eCommerce's decline from 27.2% to 18.5% reveals Google's strategy—AI Overviews appear where they add value without threatening ad revenue. Transactional queries remain in traditional SERP format.
2. Specialized Knowledge Wins Subcategories with 100% adoption (CI/CD, Security Management, Ophthalmology) share three traits: high informational value, low commercial intent, and specialized expertise required.
3. Industry Patterns Predict Opportunity Three clear patterns emerged:
   • Early Adopters (Healthcare, B2B Tech): Started strong, steady growth
   • Transformation Stories (Education, Insurance): Explosive growth after public rollout
   • Late Bloomers (Entertainment, Travel): Minimal start, recent acceleration
4. The September 2024 Inflection Public rollout triggered massive shifts—Education jumped 42pp overnight. This marks when Google found its sweet spot: high-value informational content with zero ad conflict.

Data Collected: Monitored LinkedIn content performance across major AI platforms using BrightEdge AI Catalyst to analyze:

• Citation rates by content type

• Platform-specific preferences

• Week-over-week growth patterns

• Content format effectiveness

Key Finding: LinkedIn performs 41.7x better than the average domain for AI citations—yet 98% of LinkedIn content gets zero AI visibility. The 2% that breaks through follows strict patterns: LinkedIn Learning courses and educational Pulse articles dominate, while social posts, company updates, and thought leadership are completely ignored.

The Big Numbers

• 41.7x better performance than average domain

• 100% week-over-week growth in Pulse article citations

• 9x more LinkedIn citations on Google AI vs ChatGPT

• 0% citations for company posts and status updates

• 2% of LinkedIn content actually gets cited by AI

The Content Type Breakdown

Where LinkedIn Gets AI Citations

LinkedIn Learning

• Highest performing content type across all platforms

• Preferred by ChatGPT for educational queries

• Curated, trusted educational resource

• Evergreen visibility that compounds

Pulse "How-To" Articles

• Growing 100% week-over-week

• Dominates Google AI Overview citations

• Financial and professional guides perform best

• Educational format critical for success

Where LinkedIn Gets ZERO Citations

Social Content

• Company page posts

• Personal status updates

• Employee spotlights

• Event recaps

Engagement Content

• Thought leadership posts

• Industry hot takes

• Poll questions

• Viral content attempts

Promotional Content

• Product announcements

• Partnership news

• "We're hiring" posts

• Award celebrations

AI Platform Preferences for LinkedIn

High LinkedIn Citation Platforms

Google AI Overview

• 9x more citations than ChatGPT

• Strong preference for Pulse articles

• Emerging focus on Advice/Q&A content

• Delivers majority of LinkedIn's AI visibility

ChatGPT

• Prefers LinkedIn Learning courses

• Main domain citations

• Ignores Pulse articles

• Educational content focus

Low LinkedIn Citation Platforms

Perplexity

• Ultra-selective approach

• Only 1.6% of LinkedIn URLs cited

• Specific how-to content preference

• Minimal overall presence

Google AI Mode

• Near-zero LinkedIn citations

• 0.06% success rate

• Not a priority for optimization

• Focus efforts elsewhere

Query Patterns That Surface LinkedIn

High LinkedIn Visibility Queries

• "How to choose a financial advisor"

• Professional development paths

• Career transition strategies

• B2B marketing techniques

• Business strategy frameworks

• Industry-specific tutorials

• Technical skill training

• Leadership development

Zero LinkedIn Visibility Queries

• Consumer product searches

• Entertainment content

• Health and medical queries

• Recipe and cooking content

• Local business searches

• Weather and news

• General how-to (non-professional)

• Shopping comparisons

Takeaways from Data

LinkedIn Learning's Hidden Value: While becoming an instructor requires significant effort—application, collaboration, scripted content—the ROI is substantial. Your course joins LinkedIn's most AI-visible content category with guaranteed placement and payment.

The Pulse Article Formula: Only educational, guide-style Pulse articles get citations. The 100% weekly growth suggests early movers in 2026 could establish lasting advantages. Focus on "how-to" formats over thought leadership.

Platform Strategy Matters: Google AI Overview delivers the vast majority of LinkedIn citations. Optimize for Google's preferences (Pulse articles) while maintaining LinkedIn Learning content for ChatGPT visibility.

Social Content's AI Invisibility: Traditional LinkedIn engagement tactics—posts, updates, viral content—are completely invisible to AI engines. This doesn't mean abandon them, but recognize they serve different purposes than AI discovery.

The 2026 Opportunity: With explosive weekly growth and clear content preferences emerging, B2B marketers who adapt their LinkedIn strategy for AI visibility could capture significant competitive advantage.

Data Collected: Analyzed thousands of URLs cited by ChatGPT-4 and compared volatility patterns with Google AI platforms

Key Finding: ChatGPT maintains consistent high volatility (35-45%) while Google AI Overviews shows increasing instability (climbing from 15% to 40%+), revealing distinct platform testing patterns

ChatGPT Citation Concentration:

• Top 20% of domains capture 67% of all citations
• 34% of URLs experience >50% weekly citation changes
• Individual URL swings range from -60% to +400%
• Platform maintains steady volatility range despite extreme individual swings

Extreme Volatility Examples (100-400% swings):

• Major retailers: Macy's (+150%), Apple (+200%), Rakuten (+400%)
• Educational platforms: Coursera (+200%), showing even trusted categories aren't immune
• Specialty retail and niche tools showing highest volatility
• Week-over-week changes can quadruple citations or eliminate them entirely
   

Platform Comparison Patterns:

• Google AI: Progressive volatility increase suggests active algorithm evolution
• ChatGPT: Consistent high volatility indicates established testing framework
• Both platforms actively refining citation signals but through different approaches

Data Collected: Analysed thousands of ChatGPT prompts using BrightEdge AI Catalyst to compare brand mentions, citations, and trigger words

Key Finding: ChatGPT mentions brands 3.2x more than it cites them. Nearly half of prompts contain zero brand mentions, but commercial intent language (e.g., “deals,” “where to buy”) drives 4–8x higher mentions than informational queries.

ChatGPT Brand Mention Patterns:

• 2.4 average brand mentions per prompt
• 44% of prompts = zero brand mentions
• Only 3% of prompts = 10+ brand mentions
• 0.74 citations per prompt → unlinked recommendations dominate
• “Best” queries = 4.8 mentions (2x higher than baseline), but 25% still return zero brands

Trigger Word Impact:

• High performers: “where,” “find,” “cheap,” “deals,” “affordable”
• Moderate: “best” (popular but inconsistent)
• Low performers: “how,” “what,” “cost”

Examples:

• “Best Cyber Monday electronics deals” → 21 mentions
• “Best Prime Day deals” → 20 mentions
• “Educational tools/tech queries” → 17–21 mentions
• Transactional queries outpace informational by 8–10x

Platform Recommendation Patterns:

• Mentions are more stable than citations, reducing volatility risk
• Commercial queries consistently outperform informational ones
• Educational and deal-related queries produce unexpected visibility opportunities

Data Collected: Monitored AI Overview citation overlap with organic rankings across 9 industries from May 2024-September 2025 using BrightEdge Generative Parser™ to analyze:

• Citation source patterns
• Overlap progression over time
• Industry-specific convergence rates
• Algorithm evolution phases

Key Finding: AI Overview citations increasingly come from pages that rank organically—overlap grew from 32.3% to 54.5% (+22.3 pp), but individual industries vary wildly from E-commerce's flat 0.6 pp change to Education's massive 53.2 pp surge.

The Big Numbers

• 54.5% of AI Overview citations now rank organically (up from 32.3%)
• 69% relative increase in overlap over 16 months
• 53.2 pp increase for Education (largest industry shift)
• 0.6 pp increase for E-commerce (only flat industry)
• 75%+ overlap for Healthcare and Education (highest convergence)

The Convergence Timeline

May 2024: Launch Baseline

• Overall overlap: 32.3%
• Healthcare leads at 63.3%
• Travel/Entertainment/Restaurants near 0%
• Most citations from non-ranking sources

September 2024: Public Rollout Catalyst

• Overlap jumps to 39.1%
• Acceleration begins (+5.4 pp in 2 months)
• Education and Insurance surge
• Clear shift toward ranked content

January 2025: New Year Acceleration

• Overlap reaches 45.2%
• Fastest growth period (~3 pp/month)
• Most industries showing convergence
• E-commerce remains flat

September 2025: Current State

• Overlap stabilizes at 54.5%
• Healthcare at 75.3%
• Education at 72.6%
• E-commerce still at 22.9%
• Pattern appears to be stabilizing

Industry Breakdown

High Convergence (68-75% overlap)

• Healthcare: 75.3% (started high, modest gains)
• Education: 72.6% (explosive +53.2 pp growth)
• B2B Tech: 71.0% (strong +32.4 pp growth)
• Insurance: 68.6% (major +47.7 pp surge)

Low Convergence (<33% overlap)

• Finance: 32.2% (steady but below average)
• Entertainment: 25.9% (late starter, catching up)
• Travel: 23.6% (started near zero)
• E-commerce: 22.9% (anomaly - virtually no change)
• Restaurants: 19.2% (started at zero)

The Three Phases

Phase 1: Testing (May-Aug 2024)

• Flat at ~32-34% overlap
• Google experimenting with sources
• Some industries had AIOs disabled
• No clear pattern emerging

Phase 2: Acceleration (Sep 2024-Jan 2025)

• 34.6% → 45.2% (+10.6 pp in 4 months)
• September public rollout triggers shift
• Fastest growth: ~3 pp per month
• Clear move toward ranked content

Phase 3: Convergence (Feb-Sep 2025)

• 45.2% → 54.5% (+9.3 pp)
• Crossed 50% threshold in May 2025
• Growth slowing, pattern stabilizing