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How Different AI Search Engines Choose Which Brands to Recommend
We analyzed tens of thousands of prompts across ChatGPT, Perplexity, and Google’s AI systems using BrightEdge AI Catalyst—revealing key differences in how each AI cites and prioritizes brands, with major implications for marketers in 2025 and beyond.
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
- "Budget/Affordable/Cheap" → 6.3-8.8 brands per response
- "Best/Top" rankings → 4.7-6.2 brands per response
- "Deals/Sales/Discount" → 6.2-8.3 brands per response
- "Buy/Shop/Purchase" → 5.8-7.8 brands per response
- "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
- Don't pick favorites - Optimize for all engines with a unified strategy
- Ensure retail presence - Major marketplaces are crucial for ChatGPT visibility
- Build authority content - Perplexity rewards comprehensive, citable resources
- Leverage video - YouTube dominates Google AI Overview citations
- Target trigger keywords - "Budget," "best," and comparison terms guarantee mentions
- 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.
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Strategic Insight:
These aren't competing platforms requiring separate strategies—they're complementary channels that serve different user intents. ChatGPT provides comprehensive options, Google AI Overview offers educational context, Perplexity delivers researched recommendations, and Google AI Mode balances both needs. Success means ensuring your brand appears in the formats each engine trusts: retail feeds for ChatGPT, YouTube content for Google AI Overview, authoritative guides for Perplexity, and strong brand sites for Google AI Mode.
Monitor your performance across all engines using AI Catalyst, optimize for high-impact keywords in your industry, and remember—with holiday shopping approaching, the brands that understand these patterns will capture disproportionate visibility in AI-driven purchase decisions.
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Published on October 17, 2025
How Different AI Search Engines Choose Which Brands to Recommend
AI Didn't Kill SEO—It Made Excellence in Fundamentals More Important Than Ever
We tracked tens of thousands of keywords from 2022-2025. The data reveals that top-ranking pages aren't abandoning SEO—they're executing it better than ever before.
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
- 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. - 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. - 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.
Strategic Insight: As AI reshapes discovery, the data is clear: SEO fundamentals aren’t optional—they’re decisive. Schema, speed, and structure are the backbone of ranking in the AI era. Brands that execute with precision win visibility.
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Published on September 04, 2025
AI Didn't Kill SEO—It Made Excellence in Fundamentals More Important Than Ever
AI Overviews Just Grew 43.6% in Ecommerce Searches—Your Holiday Strategy Needs Both AI and Organic Tactics
We analyzed how Google's AI Overviews expanded across ecommerce searches during September using BrightEdge Generative Parser™. The 43.6% surge wasn't random—it reveals Google's strategic deployment ahead of the critical holiday shopping season.
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
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.
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.
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.
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.
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.
Strategic Insight:
Your ecommerce holiday strategy doesn't need an overhaul, but it does need awareness. With 1 in 5 ecommerce searches now showing AI Overviews, understanding where they appear—and where they don't—becomes critical for Q4 success.
The data reveals Google is creating specialized lanes: AI Overviews for quick product information, traditional organic for research and evaluation. Brands that recognize this division can optimize accordingly rather than applying blanket strategies.
Monitor your product pages for AI Overview presence, protect your comparison content's organic rankings, and remember—the SERP isn't becoming simpler, it's giving you more inroads to reach your customers.
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Published on October 2, 2025
AI Overviews Just Grew 43.6% in Ecommerce Searches—Your Holiday Strategy Needs Both AI and Organic Tactics
Google's AI Overview Rollout Reveals Clear Intent Hierarchy—Here's What Gets Coverage and What Doesn't
We tracked AI Overview deployment across 9 industries for 16 months. The data reveals Google's strategic pattern: prioritizing informational queries while protecting commercial intent.
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
- 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.
- 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.
- 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
- 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.
Strategic Insight: Focus content creation on informational intent—the data shows commercial queries get minimal coverage while educational content dominates. Healthcare's consistent 80%+ adoption and Education's 5.5x growth prove that authoritative, informational content is your path to AI Overview visibility. The brands winning AI Overviews aren't optimizing for them—they're creating the exact content Google trusts most: comprehensive answers to complex questions without commercial intent.
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Published on September 11, 2025
Google's AI Overview Rollout Reveals Clear Intent Hierarchy—Here's What Gets Coverage and What Doesn't
LinkedIn Learning and Pulse Articles Emerge as Top AI Citation Sources for B2B Content
We analyzed how AI engines cite LinkedIn content across ChatGPT, Google AI Overview, and Perplexity using BrightEdge AI Catalyst. The results reveal a massive 2026 opportunity for B2B marketers who understand which LinkedIn formats AI engines trust.
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.
Strategic Insight:
Your LinkedIn strategy doesn't need an overhaul, but it needs evolution. While your current content drives engagement and community, adding AI-optimized formats establishes your brand as an authoritative source that answer engines trust.
The data reveals LinkedIn has secured its position as a top-tier source for professional content—ranking among the top domains tracked. But success requires understanding that AI engines treat LinkedIn as a professional knowledge library, not a social network.
Monitor your LinkedIn content performance in AI Catalyst, test educational formats alongside your regular content, and remember—early movers in this rapidly growing space could establish lasting visibility advantages.
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Published on October 9, 2025
LinkedIn Learning vs Pulse: Which Content Gets AI Citations - BrightEdge Research
AI is Transforming Search—What Does That Mean for Your SEO Strategy?
Discover how AI is reshaping search and redefining SEO success. Learn what top performers are doing to stay ahead in 2025 and beyond.
This webinar originally aired on October 8, 2025. Watch the full recording to learn how marketers are using AI Search to uncover market trends and drive real impact.
AI is reshaping the search landscape, and digital marketing teams face tough questions:
Do traditional SEO tactics still matter?
What are top performers prioritizing?
Where are they innovating?
More than 1,000 marketers joined live to hear BrightEdge share exclusive insights from tracking tens of millions of searches and results. Attendees rated the session 4.2/5 for satisfaction and 4.3/5 for relevance, with over half saying the most valuable part was tactical SEO guidance they could apply immediately.
What You'll Learn
How top-performing websites have adapted for both traditional and AI-powered search
Which SEO tactics are losing relevance — and where leaders are investing more
Practical steps to future-proof your strategy in a world of AI and classic search
Why Watch
This session goes beyond theory. You'll get:
Data-backed insights from BrightEdge research and live poll results
Real-world SEO tactics — the #1 thing attendees found most valuable
Actionable next steps you can put in place today
Featured Speakers:
AI is Transforming Search What Does That Mean for Your SEO Strategy?
About This Report
As AI search platforms experience explosive growth, marketers face a critical question: How should they balance investment between this emerging channel and proven organic search strategies?
BrightEdge analyzed thousands of queries and top-performing websites, including many Fortune 100 brands, from January through August 2025. The data reveals AI search is experiencing double-digit growth rates month over month, demonstrating how rapidly AI is reshaping discovery. Yet while AI search is growing fast, it accounts for less than 1% of referral traffic while organic search remains the primary driver and delivers the majority of conversions.
Key Content in This Report
- AI Search Referral Traffic Shows Big Month-Over-Month Gains
- Why Organic Search Continues to Outperform AI Search on Conversions
- Content sources used by AI that brands can influence
- Two BrightEdge Innovations that Help Marketers Win in the Age of AI
Google Commands 90%+ Search Market Share, But Key AI Players Are Growing Fast
The data suggests that AI search has had dramatic periods where some months double traffic. This isn't just another incremental change—it represents a period of experimentation- both in how users are connecting to websites and how AI engines are managing how they send referrals.
Key Trends in AI Search Referral Traffic:
- Claude's Growth: 58% growth in July followed by 21% in August, demonstrating sustained momentum.
- Grok's Explosive Trajectory: Starting from a small base, Grok achieved 1279% growth in July and could become a serious contender if momentum continues.
- ChatGPT's Position: Over the past three months, ChatGPT significantly outpaces competitors on referral traffic, leading among emerging AI engines.
- DeepSeek's Decline: The Chinese LLM that emerged early this year has steadily lost ground, with sharp declines throughout July.
Why This Matters for Marketers
SEO fundamentals are critical for achieving visibility in AI search. Here's why: First, all major AI engines rely on traditional search indexes as their foundation—ChatGPT often uses Bing, Google AI Overviews and AI Mode are built on Google's index, and Claude leverages Brave's search infrastructure. Second, AI platforms deploy their own crawlers to feed their LLMs and build their search indexes, meaning they need to access and understand your website's content just like traditional search engines do.
This technical reality means robust SEO optimization now delivers compound returns: optimize once, and your content becomes discoverable across traditional search, AI overviews, ChatGPT, Perplexity, and emerging platforms alike.
Rather than fragmenting your efforts, the proliferation of AI search amplifies the value of comprehensive SEO. Leading marketers are reinforcing SEO best practices in the age of AI discovery, from improving site performance for faster, more user-friendly experiences to adding contextual signals like schema that help AI engines and search platforms better interpret content.
Growth and Business Impact Are Two Different Things
While AI search captures headlines with its explosive growth rates, BrightEdge data reveals a critical distinction: organic search remains the primary driver and delivers significantly stronger conversions. Over the course of the year, AI’s referrals are not translating to conversions yet.
Understanding User Intent Differences
- Organic search delivers the best conversion results - consistently outperforming all other channels
- All traditional channels deliver better conversions than AI search - and this efficiency gap is actually increasing over time
- AI search functions as a research channel, not a conversion channel - with near-zero direct conversions tracked
This performance gap reflects fundamental differences in how users engage with each channel:
AI Search Users: Enter the funnel at the research and exploration stage, asking questions and gathering information to inform their decisions. They're seeking understanding, not yet ready to transact.
Organic Search Users: Demonstrate clearer purchase intent, often searching for specific products, services, or solutions. They know what they want and are closer to conversion.
The Journey Dynamic: Many users begin with AI-powered research but ultimately convert through organic search or direct channels - making AI search valuable for top-of-funnel discovery despite its lack of direct conversions.
Why This Matters for Marketers
While AI search doesn't drive direct conversions today, it matters for two critical reasons:
- It's growing at unprecedented rates - creating new touchpoints with potential customers
- It owns the research phase - influencing decisions that lead to conversions through other channels
The most successful marketers aren't choosing one channel over the other—they're adapting for AI while doubling down on the organic strategies that have always driven results. This dual-channel approach ensures brands capture both the exploratory AI search audience and the high-converting organic search traffic.
How Astute Marketers Drive the Most from Each Channel
Beyond Your Website: Understanding AI Citation Patterns
The good news for marketers: You don't need to change how you develop content on your website. Instead, focus on influencing content outside your website that in turn shapes what AI platforms say about your brand. This approach is simple and low-risk—you're not disrupting anything that's already working.
BrightEdge's analysis reveals the specific sources AI platforms use:
1. Continue with SEO fundamentals for your website All major AI engines rely on traditional search indexes—ChatGPT uses Bing, Google AI Overviews run on Google's index, and Claude leverages Brave. Additionally, AI platforms deploy their own crawlers to feed their LLMs. This means your existing SEO efforts automatically benefit AI discovery.
2. Shape PR and media coverage (34% of AI citations) News sites, industry publications, and media coverage represent significant opportunities. Build relationships with publications in your space that AI frequently references. For example, in the golf industry, Golf.com is heavily cited when AI helps consumers shop for golf equipment. In fashion, Vogue and WWD carry similar weight. Identify and cultivate relationships with the authoritative media sources in your industry.
3. Engage strategically on social platforms (Nearly 10% of citations) LinkedIn articles and Reddit discussions directly influence AI responses. BrightEdge pinpoints the exact forums—even down to specific subreddits—where your industry conversations happen. This precision allows you to engage where it matters most.
4. Monitor user-generated content sites Forums, review sites, and Q&A platforms are also important sources of content for LLMs. BrightEdge identifies which specific communities carry the most authority in your industry, allowing targeted engagement.
The Strategic Opportunity
By understanding these influence patterns, marketers can:
- Maintain strong SEO for direct website visibility
- Build relationships with key publications and journalists in their space
- Participate authentically in the specific forums and communities AI platforms reference
- Ensure accurate, positive information exists across all sources AI systems consult
Why This Matters for Marketers
This multi-channel approach doesn't require rebuilding your content strategy. It's about extending your influence to the sources AI already trusts, while maintaining the SEO foundation that drives both traditional and AI search visibility.
BrightEdge Launches Two New Innovations to Help Marketers Win
To help brands navigate this ongoing shift, BrightEdge announced two major product innovations at the Fall Spark 2025 Event:
AI Early Detection System
The next generation of analytics reporting that shows, in real time, how AI search is contributing to traffic and conversions. Most web analytics treat AI search domains like any other referral, making them hard to analyze. BrightEdge makes this traffic visible, organizes it alongside your other channels, and lets you drill from top-level trends down to individual pages so you you can see performance clearly and know exactly where to optimize to drive results.
Instead of guessing whether a spike in AI referrals matters, marketers can see when it drives real downstream engagement and adjust their strategy accordingly.
AI Catalyst Recommendations
BrightEdge AI Catalyst identifies where competitors are appearing in AI results, then translates those gaps into actionable steps. It not only shows what's missing, but why others are winning—whether it's page structure that makes content easier for LLMs to interpret, deeper topic coverage, or stronger layout that helps models surface the right answers.
What makes Catalyst especially powerful is that it shows where AI engines source their answers. It identifies the sources that matter most, analyzes why they influence AI, and generates clear action items—even down to what content resonates and who inside an organization to reach.
The result: a faster, easier way to strengthen presence in AI search and tie activity directly to business outcomes
Download the Full Report
Download the full research report—including visuals, cross-industry insights, and expert guidance to help you lead in the evolving world of AI-powered search.
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