How Brands Are Winning (and Losing) in the New Era of AI-Powered Search

Published: November 2025 | Source: Semrush Enterprise AI Visibility Index Study
Report Length: 131 Pages | Data Collection: August 2025

📊 Executive Summary: The Search Revolution is Here

The rules of brand discovery have fundamentally changed. AI search platforms like ChatGPT and Google AI Mode are eliminating billions of clicks and reshaping how consumers find, trust, and engage with brands. According to Semrush’s groundbreaking AI Visibility Index, AI search traffic is projected to surpass traditional search engine traffic by 2028.

“AI search is likely the biggest shift in digital marketing since Google’s founding in 1998. The rules of visibility, brand discovery, and traffic were rewritten overnight.”
— Andrew Warden, CMO of Semrush

This comprehensive report analyzes 2,500 weighted prompts across 5 major industries, tracking how 100 top brands perform across ChatGPT (80% market share) and Google AI Mode. The findings reveal a stark reality: AI visibility isn’t accidental—it’s engineered.

🕐 Timeline: The Evolution of AI Search

2014: The Beginning of Answer Extraction

Google introduced featured snippets (“position zero”), marking the first time information was retrieved and summarized directly on search results pages.

November 2022: ChatGPT Changes Everything

OpenAI launched ChatGPT with GPT-3.5, demonstrating that users could receive comprehensive answers through conversational AI without visiting traditional websites. Perplexity followed shortly after.

2023: Google’s AI Response

Google expanded AI Overviews (initially called Search Generative Experience), placing AI summaries above traditional results and integrating new search modes.

Q1 2025: Google AI Mode Launch

Google’s dedicated AI Mode rolled out in the US, India, and UK, representing Google’s full commitment to AI-powered search.

August 2025: Current State

• ChatGPT: 800+ million weekly active users, 2.5 billion daily prompts
• Semrush Projection: AI search to overtake traditional search by 2028
• Conversion Rate: LLM users are 4.4× more likely to convert than traditional search engine users

🎯 The Two-Stage AI Decision Process

AI models use a sophisticated two-stage logic to determine brand visibility:

Stage 1: The Sentiment Battle (Discovery)

Question AI asks: “Who’s being talked about?”

Primary Sources:

• User-generated content (reviews, forums, social media)
• Reddit discussions and Quora threads
• Third-party sentiment analysis
• Community conversations

Result: A ranked list of brands based on collective user sentiment

Critical Insight: This stage is about being talked about. Brands win by dominating community conversations where AI gathers comparative opinions.

Stage 2: The Authority Game (Investigation)

Question AI asks: “Does this brand have credible backing?”

Primary Sources:

• Official websites (product information, pricing, features)
• Wikipedia entries (background and credibility)
• Industry publications and authoritative sources
• Structured, factual content

Result: Detailed brand information pulled from authoritative sources

Critical Insight: This stage is about being cited. Brands win by ensuring AI finds accurate, comprehensive information when users dig deeper.

📈 Industry-by-Industry Breakdown

Business & Professional Services

Top 3 Brands:

1. Google — 23.22% Share of Voice
2. Zoho — 16.70% Share of Voice
3. HubSpot — 15.40% Share of Voice

Key Findings:

• Google’s dominance reflects deep integration in business operations (Google Ads, Google Workspace)
• Zoho punches above its market cap due to comprehensive content strategy and active Reddit community
• Marketing automation tools dominate top 10: ActiveCampaign (8.85%), Mailchimp (7.17%), Hootsuite (6.00%)
• Legal services show strong representation: Latham & Watkins (6.00%), LegalZoom (5.95%)

Source Differences:

ChatGPT relies on:

• Reddit (141.20%)
• Wikipedia (151.93%)
• TechRadar (29.83%)
• Forbes (23.82%)

Google AI Mode prefers:

• LinkedIn (24.05%)
• Google properties (21.90%)
• Yelp (21.43%)

Digital Technology & Software

Top 3 Brands:

1. Microsoft — 52.86% Share of Voice
2. Google — 41.25% Share of Voice
3. Amazon — 25.40% Share of Voice

Key Findings:

• Microsoft edges out Google despite Google’s broader product portfolio
• These giants appear together in 78% of ChatGPT prompts and 82% of Google AI Mode responses
• Amazon’s position driven by AWS dominance
• Surprising overperformer: Zoho at 17.28% (punches well above market cap)

Notable Patterns:

• Security leaders: Palo Alto Networks (12.37%), CrowdStrike (8.76%)
• Productivity wars: Slack (9.49%), Asana (8.69%), ClickUp (8.75%)
• The Zapier Paradox: #1 cited source but only #44 in brand mentions

The Zapier Paradox Explained: Zapier’s hundreds of integration tutorials make it an authoritative source for AI, but users discuss other brands more frequently in conversations. This illustrates the “mention-source divide.”

Source Strategy:

ChatGPT emphasizes:

• Wikipedia (167.08%)
• Reddit (121.88%)
• TechRadar (59.71%)
• G2 (20.04%)

Google AI Mode values:

• Zapier.com (21.18%)
• Medium (19.21%)
• LinkedIn (18.78%)
• TheDigitalProjectManager.com (17.90%)

Consumer Electronics

Top 3 Brands:

1. Samsung — 58.08% Share of Voice
2. Apple — 48.84% Share of Voice
3. Google — 38.51% Share of Voice

Key Findings:

• Samsung and Apple reflect smartphone duopoly
• Garmin’s 31.15% demonstrates how specialized category leadership drives AI visibility
• Clear category clusters emerge:
  • Smartphone leaders: Samsung, Apple, Google, OnePlus (17.93%), Motorola (13.06%)
  • Fitness tech: Garmin (31.15%), Fitbit (22.17%)
  • Computing hardware: Dell (25.69%), ASUS (25.44%), Lenovo (23.57%), HP (17.45%)
  • Entertainment electronics: Sony (22.64%), LG (15.20%), Hisense (12.15%)

The E-commerce Intelligence Gap:

ChatGPT’s editorial approach:

• Reddit (127.31%)
• Tom’s Guide (58.63%)
• Wikipedia (54.22%)
• TechRadar (49.20%)

Google AI Mode’s e-commerce focus:

• Amazon (66.67%) — dramatically leads
• YouTube (40.00%)
• Best Buy (29.29%)

Strategic Insight: Google AI Mode represents an AI continuation of Google Shopping, where purchase intent drives source selection. ChatGPT prioritizes editorial reviews and community discussions.

Fashion & Apparel

Top 3 Brands:

1. Patagonia — 21.96% Share of Voice
2. Everlane — 14.26% Share of Voice
3. Gucci — 14.20% Share of Voice

The Ethical Revolution:

The top rankings reveal three distinct categories:

Ethical Leaders:

• Patagonia (21.96%)
• Everlane (14.26%)
• Reformation (11.59%)

Luxury Powerhouses:

• Gucci (14.20%)
• Hermès (13.96%)
• Louis Vuitton (11.73%)
• Chanel (9.63%)

Direct-to-Consumer Disruptors:

• Quince (8.78%)
• Pact (8.74%)
• Brilliant Earth (7.91%)

The Patagonia Playbook:

Patagonia’s dominance offers a masterclass in category positioning:

1. Consistent Editorial Placement: Appears in virtually every “ethical fashion,” “sustainable clothing,” and “environmentally responsible shopping” article AI models reference

2. Cross-Platform Authority: Strong presence across Vogue, Forbes, and Reddit discussions about corporate responsibility

3. Category Definition: Rather than competing in general “fashion,” Patagonia owns the “ethical fashion” subcategory, making it the default AI recommendation for conscious consumers

Source Ecosystem:

ChatGPT’s editorial fashion focus:

• Wikipedia (113.02%)
• Reddit (108.88%)
• Vogue (25.21%)
• Who What Wear (23.55%)
• InStyle (18.18%)
• Glamour (17.56%)

Google AI Mode’s shopping orientation:

• Google properties (51.00%)
• Amazon (37.64%)
• YouTube (14.03%)
• Nordstrom (7.13%)
• Etsy (7.13%)

Financial Services

Top 3 Brands:

1. Fidelity — 33.70% Share of Voice
2. Vanguard — 29.28% Share of Voice
3. Chase — 25.47% Share of Voice

The Trust Hierarchy:

The financial services leaderboard showcases traditional, powerhouse names, highlighting the challenges of disrupting a trust-based industry through AI search.

Key Insight: In finance, established authority and long-term reputation carry immense weight in AI rankings. New entrants face significant barriers.

🔍 The Mention-Source Divide: A Critical Discovery

One of the study’s most significant findings is the disconnect between brand mentions and source citations:

What This Means:

• Brands mentioned most often in AI responses are NOT the same as brands cited most frequently as trusted sources
• Sources tend to be minimized visually and rarely clicked
• If your brand is mentioned in the answer itself, this increases awareness and helps you dominate conversation

Real-World Example:

• Zapier: #1 cited source, #44 in brand mentions
• Why: Hundreds of integration tutorials make it authoritative, but users discuss other brands more in conversations

Strategic Implication: Being talked about (Stage 1) and being cited (Stage 2) require different optimization strategies. Success requires winning at both.

📊 Brand Diversity Analysis: Understanding Competition

The study measures Brand Diversity Score to understand competitive saturation:

Formula: Number of unique brands appearing ÷ total prompts

• Low score (1): Same brands appear in every prompt (high saturation)
• High score (5+): 5+ different brands per prompt (high competition)

Industry Insights:

Different industries show varying levels of brand concentration, affecting how difficult it is to break into AI visibility rankings.

🎯 Proven Tactics: How Top Brands Win

1. Technical Website Excellence is Non-Negotiable

Action Items:

• Work with technical teams to ensure key content is indexed
• Provide well-structured, accessible content within static HTML
• AI crawlers struggle with dynamic content—prioritize static pages
• Implement comprehensive structured markup

2. Dominate User-Generated Content Platforms

Critical Platforms:

• Reddit: Engage in industry-specific subreddits
• Quora: Answer questions comprehensively
• Stack Overflow: (For tech brands)
• Review Sites: G2, Capterra, TrustPilot, Yelp
• YouTube: Product demos and reviews
• LinkedIn: Professional discussions
• X (Twitter): Industry conversations

Why This Matters: AI models rely heavily on forums, reviews, and social posts to shape brand rankings. User-driven sources now outweigh traditional SEO.

3. Build Authority in Official Channels

Essential Elements:

• Wikipedia Entries: Keep updated with current information
• Official Documentation: Structured, comprehensive product details
• Your Website: Clear, factual product descriptions and transparent pricing
• Industry Publications: Forbes, TechRadar, Vogue (depending on sector)

4. Implement The Marketplace Strategy

For E-commerce Brands:

• Implement structured markup for easy AI parsing
• Display accurate, up-to-date pricing information
• Accumulate substantial positive user reviews adjacent to pricing
• Optimize for Amazon, Google Shopping, and category-specific marketplaces

5. The Brand Effect is Real

Observation: Iconic brands like Patagonia, Garmin, and Capital One consistently top AI rankings through:

• Community forum dominance
• Structured pricing that AI can cite
• Clear category positioning
• Consistent editorial placement

💡 Platform-Specific Optimization Strategies

For ChatGPT Visibility:

Content Strategy:

• Focus on Reddit community engagement
• Ensure Wikipedia accuracy and completeness
• Get featured in industry publications (Forbes, TechRadar, industry-specific sites)
• Create long-form technical content on Medium
• Build thought leadership

Source Priorities:

• Reddit discussions
• Wikipedia entries
• Technical publications
• Industry forums

For Google AI Mode Success:

E-commerce Focus:

• Optimize Amazon and marketplace presence
• Manage high-quality customer reviews
• Enhance Google Business Profile
• Optimize for YouTube video content
• Build LinkedIn professional presence

Source Priorities:

• Google properties
• E-commerce platforms (Amazon, specialty retailers)
• Professional networks (LinkedIn)
• Video content (YouTube)

⚠️ Critical Distinctions: What’s Different Now

Organic SEO ≠ AI Visibility

The Old Rules Don’t Apply:

• High Google rankings do NOT guarantee top placement in ChatGPT or Google AI Mode
• Structured data matters MORE than before
• Third-party validation (industry publications) carries MORE weight
• Accessible pricing information is CRITICAL
• User-generated content now outweighs owned content

What AI Models Really Value (by Industry):

Business Services: Professional networks, review platforms, industry directories

Technology: Technical depth, documentation quality, community engagement

Consumer Electronics: E-commerce presence, video reviews, editorial coverage

Fashion: Editorial placement, sustainability positioning, marketplace reviews

Finance: Trust signals, established authority, comprehensive information

📋 30-Day to 12-Month AI Visibility Roadmap

Days 1-30: Foundation

Week 1-2: Audit & Assess

• Conduct comprehensive AI visibility audit across ChatGPT and Google AI Mode
• Identify current mentions, sentiment, and source citations
• Map competitor positioning
• Review technical website health for AI crawlability

Week 3-4: Quick Wins

• Fix critical technical issues (static HTML, structured data)
• Update Wikipedia entry (if applicable)
• Claim and optimize all review platform profiles
• Implement transparent pricing displays

Days 31-90: Build Momentum

Community Engagement:

• Launch Reddit engagement strategy in target subreddits
• Begin Quora answer campaigns
• Activate employee advocacy on LinkedIn
• Start YouTube content series (product demos, tutorials)

Content Authority:

• Create comprehensive product documentation
• Publish technical guides and how-to content
• Develop case studies and success stories
• Build industry publication relationships

Review Generation:

• Implement systematic review request campaigns
• Respond to all reviews (positive and negative)
• Feature customer testimonials prominently
• Encourage detailed, helpful reviews

Days 91-180: Scale & Optimize

Advanced Tactics:

• Launch collaborative content with industry publications
• Develop Wikipedia-style authoritative content
• Create interactive tools and resources
• Build comprehensive FAQ sections optimized for AI

Platform Expansion:

• Expand to secondary platforms (Perplexity, Claude, Gemini)
• Test messaging across different AI models
• A/B test pricing presentation formats
• Optimize for voice search and conversational queries

Measurement:

• Track Share of Voice changes
• Monitor sentiment across platforms
• Analyze source citation patterns
• Measure competitor movements

Days 181-365: Dominate

Category Leadership:

• Own specific subcategories (like Patagonia owns “ethical fashion”)
• Become THE authority source in your niche
• Publish original research and data
• Host industry events and webinars

Ecosystem Building:

• Develop partner content networks
• Create community forums and resources
• Build educational content hubs
• Establish thought leadership programs

Continuous Optimization:

• Refine based on AI model updates
• Adapt to new platform launches
• Test emerging formats and features
• Scale winning tactics across channels

📊 Key Statistics & Data Points

Market Size & Growth:

• ChatGPT: 800+ million weekly active users
• Daily prompts: 2.5 billion across ChatGPT
• Projected crossover: AI search > traditional search by 2028
• ChatGPT market share: ~80% of AI assistant usage

Conversion & Value:

• LLM users convert at 4.4× the rate of traditional search users
• High-intent queries produce brand mentions 65% of the time across all platforms

Brand Performance:

• 67% brand overlap between ChatGPT and Google AI Mode
• Only 30% source overlap between platforms
• 78% co-appearance rate for Microsoft and Google in tech queries
• 82% co-appearance rate in Google AI Mode

Source Citation Patterns:

• Reddit appears 141.20% in ChatGPT (Business Services)
• Wikipedia appears 167.08% in ChatGPT (Tech)
• Amazon leads Google AI Mode at 66.67% (Consumer Electronics)
• LinkedIn leads Google AI Mode at 24.05% (Business Services)

🎓 Expert Insights & Analysis

On The Paradigm Shift:

It’s no longer only about scale and quality of content but also about reinforcing trust and authority. We built the AI Visibility Index based on 2,500+ real-world prompts in both ChatGPT and Google AI Mode to explore which brands are winning, why they’re on top, and provide a blueprint for how you can turn AI visibility into real competitive advantage.”
— Andrew Warden, CMO of Semrush

On Industry Impact:

The study confirms that two-thirds of industries experience significant AI visibility changes, with some sectors seeing more disruption than others. Traditional SEO leaders don’t automatically win in AI search.

On The Two-Stage Process:

Marketing leaders must recognize that AI visibility requires dual optimization: winning the sentiment battle through community engagement AND winning the authority game through official, structured content.

On Platform Differences:

“ChatGPT operates like a brand recommender with minimal sourcing, while Google positions itself as citation-first with wide coverage. This mismatch creates opportunities for brands that can align to both trust-driven recommendations and source-backed visibility.”
— BrightEdge Research

❓ Frequently Asked Questions

Q: How long does it take to see results from AI visibility optimization?

A: For established brands with existing authority, improvements can appear in 1-2 months with focused effort. For newer brands starting from scratch, expect several months of consistent work (4-6 months) building community presence, external mentions, and topical authority before AI platforms regularly pick up your brand.

Q: Do I need to block AI crawlers if I’m concerned about my content?

A: Blocking AI crawlers like GPTBot or Google-Extended means your site won’t be used in training or real-time AI referencing. This significantly reduces your chances of appearing in AI responses. If AI visibility is a goal, keep your content open and accessible. AI can only learn about your brand from other websites if you block crawlers.

Q: Is high Google ranking enough for AI visibility?

A: No. The study definitively proves that organic SEO ≠ AI visibility. High Google rankings do not guarantee top placement in ChatGPT or Google AI Mode. Structured data, accessible pricing, third-party validation, and community presence matter MORE for AI visibility.

Q: Which platform should I prioritize: ChatGPT or Google AI Mode?

A: With ChatGPT holding ~80% market share, it should be your primary focus. However, successful brands optimize for BOTH platforms since they use different sources and ranking criteria. You cannot treat AI search as “one thing.”

Q: How important are reviews for AI visibility?

A: Extremely important. User-generated content (reviews, forums, social discussions) now outweighs traditional SEO content. Review platforms like G2 appear 20.04% in ChatGPT and 15.72% in Google AI Mode for tech brands. Yelp appears 21.43% in Google AI Mode for business services.

Q: Can smaller brands compete with giants like Microsoft and Google?

A: Yes, through category specialization. Zoho at 17.28% Share of Voice punches well above its market cap by owning subcategories and maintaining active community presence. Patagonia dominates at 21.96% by owning “ethical fashion” rather than competing in general fashion. The key is category definition and niche authority.

Q: What’s the biggest mistake brands make with AI visibility?

A: Treating it like traditional SEO. AI models value:

• Community conversations over owned content
• Third-party validation over self-promotion
• Structured, accessible pricing over hidden costs
• Editorial mentions over backlinks
• User sentiment over keyword density

Q: How do I measure AI visibility success?

A: Track these metrics:

• Share of Voice across AI platforms
• Mention frequency in AI responses
• Source citation rate (authority signals)
• Sentiment (positive/negative/neutral)
• Position in AI responses (1st mention vs. buried)
• Competitor comparison (relative positioning)

Use tools like Semrush Enterprise AI Optimization (AIO), Otterly.AI, ZipTie, or Keyword.com for systematic tracking.

Q: Should I create separate content strategies for each AI platform?

A: Yes. ChatGPT and Google AI Mode use different sources:

• ChatGPT strategy: Focus on Reddit, Wikipedia, industry publications, long-form technical content
• Google AI Mode strategy: Optimize for Google properties, e-commerce platforms, LinkedIn, YouTube

However, foundational elements (technical excellence, transparent pricing, strong reviews) benefit both platforms.

Q: What role does Wikipedia play in AI visibility?

A: Critical. Wikipedia appears at 167.08% citation rate in ChatGPT for tech brands and 151.93% for business services. It’s THE authority source for background information. If your brand qualifies for Wikipedia, maintaining an accurate, current entry is essential.

Q: How does pricing visibility affect AI rankings?

A: Significantly. AI models struggle to cite brands without accessible pricing. Transparent, clearly displayed pricing (especially in structured markup) dramatically improves chances of being recommended. Hidden or request-quote pricing hurts AI visibility.

🛠️ Recommended Tools for AI Visibility Tracking

Enterprise Solutions:

Semrush Enterprise AI Optimization (AIO)

• Coverage: ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews
• Features: Real-time monitoring, sentiment analysis, competitor tracking
• Best for: Enterprise brands, comprehensive tracking
• Note: Custom pricing, sales team setup required

BrightEdge AI Catalyst

• Coverage: ChatGPT, Google AI Overview, Google AI Mode
• Features: Tens of thousands of prompt analysis, citation patterns
• Best for: Enterprise SEO teams, detailed research
• Investment: Enterprise-level

Mid-Market Solutions:

Otterly.AI

• Coverage: ChatGPT, Google AI Overviews, Perplexity, AI Mode, Gemini, Copilot
• Features: Brand mentions, Share of Voice, website citations
• Best for: Solopreneurs to mid-market brands
• Value: Fast, accurate, affordable

ZipTie

• Coverage: Google AI Overviews, ChatGPT, Perplexity
• Features: AI Success Score, detailed context analysis
• Best for: Purpose-driven AI search tracking
• Unique: Prioritization through AI Success scoring

Keyword.com (formerly Serpbook)

• Coverage: Google AI Overview, ChatGPT, Gemini, Claude, Perplexity
• Features: Sentiment tracking, local/mobile SERP tracking
• Best for: Agencies, multi-location businesses
• Note: Evolved from SERP tracker to AI monitoring

Agency Solutions:

Ahrefs Brand Radar (Expected 2025)

• Coverage: Multiple AI platforms
• Features: Brand mention tracking for AI
• Best for: SEO agencies, comprehensive SEO + AI tracking

🔗 Essential Resources & Further Reading

Official Reports:

• AI Visibility Index Microsite — Interactive data, updated bi-weekly
• Full 2025 AI Visibility Index Study PDF — 131-page comprehensive report

Research & Analysis:

• BrightEdge: ChatGPT vs Google AI Brand Disagreement — 61.9% disagreement analysis
• Search Engine Journal: AI Optimization Research — Practical optimization strategies

Industry News:

• Search Engine Land: AI Search Coverage — Latest AI search news and updates
• Semrush Blog: AI Visibility Updates — Ongoing AI visibility insights

Tools & Platforms:

• Semrush Enterprise AI Optimization — Enterprise tracking platform
• Otterly.AI — AI search monitoring tool
• ZipTie — AI visibility tracking

Educational Content:

• Writesonic: 8 Strategies for Brand Mentions in AI — Practical implementation guide
• ROI Amplified: AI Visibility Index Analysis — Strategic implications

🎯 Key Takeaways for Immediate Action

1. AI Search is Not Optional Anymore

With 2.5 billion daily prompts on ChatGPT alone and AI search projected to overtake traditional search by 2028, brands that delay AI visibility optimization risk becoming invisible to their target audience.

2. The Two-Stage Battle Requires Dual Strategy

Success demands winning BOTH:

• Stage 1 (Discovery): Dominate community conversations on Reddit, Quora, review platforms
• Stage 2 (Authority): Ensure official sources (website, Wikipedia, publications) provide clear, structured information

3. Platform-Specific Optimization is Mandatory

ChatGPT and Google AI Mode disagree on 33% of brands despite 67% overlap. They use fundamentally different sources (only 30% overlap). You MUST optimize for each platform separately.

4. User-Generated Content Now Outweighs Owned Content

Reddit appears at 141.20% citation rate in ChatGPT for business services. Reviews, forums, and social discussions shape AI rankings more than traditional SEO content.

5. Technical Excellence is Table Stakes

AI crawlers struggle with dynamic content. Brands must ensure:

• Static HTML for critical content
• Comprehensive structured markup
• Accessible, transparent pricing
• Clear product specifications

6. Category Definition Beats Category Competition

Patagonia doesn’t compete in “fashion”—it owns “ethical fashion.” Garmin dominates fitness tech. Define and own a subcategory rather than fighting giants in broad categories.

7. The Mention-Source Divide Creates Two Paths to Victory

Being mentioned (visibility) and being cited (authority) are different. Zapier is #1 in citations but #44 in mentions. Optimize for both paths based on your business model.

8. Traditional SEO Leaders Don’t Automatically Win

High Google rankings ≠ AI visibility. The rules changed. Success requires new tactics prioritizing:

• Third-party validation over backlinks
• Community presence over keyword density
• Structured information over content volume
• Editorial mentions over self-promotion

9. Start Now—The Compounding Advantage is Real

Brands optimizing today will have 6-12 months of authority-building head start when AI search overtakes traditional search in 2028. The time to act is NOW.

10. Measurement and Iteration are Critical

AI models evolve rapidly. Implement systematic tracking using tools like Semrush AIO, Otterly.AI, or ZipTie. Test, measure, adapt monthly. What works today may shift in 90 days.

🚀 Final Thoughts: The Urgent Call to Action

The 2025 AI Visibility Index reveals a digital marketing landscape in rapid transformation. The brands that win will be those that recognize AI visibility as a distinct discipline requiring new tactics, different metrics, and platform-specific strategies.

This isn’t about tweaking your SEO strategy—it’s about building a parallel optimization program focused on:

• Community engagement over content creation
• Authority signals over keyword targeting
• User sentiment over search rankings
• Transparent information over SEO tricks

The data is clear: With ChatGPT receiving 2.5 billion daily prompts and AI users converting at 4.4× the rate of traditional search users, AI visibility directly impacts revenue. Brands that master this new landscape will capture demand before competitors even realize the rules changed.

Your 24-hour action plan:

1. ✅ Audit your current AI visibility (test searches on ChatGPT and Google AI Mode)
2. ✅ Claim and optimize review platform profiles
3. ✅ Check Wikipedia accuracy (if applicable)
4. ✅ Review pricing transparency on your website
5. ✅ Identify Reddit communities for engagement
6. ✅ Assess technical website crawlability
7. ✅ Download the full AI Visibility Index Study
8. ✅ Brief your leadership team on findings
9. ✅ Allocate budget for AI visibility tools
10. ✅ Begin 30-day optimization roadmap

The AI search revolution is here. The question isn’t whether to optimize for AI visibility—it’s whether you’ll lead or follow.

📚 Methodology & Data Collection

Study Parameters:

• Prompts Analyzed: 2,500+ weighted, real-world queries
• Industries Covered: 5 major sectors (Business Services, Technology, Consumer Electronics, Fashion, Finance)
• Brands Tracked: Top 100 brands per industry
• Platforms: ChatGPT (GPT-4o model), Google AI Mode
• Data Collection Period: August 2025
• Update Frequency: Bi-weekly for live index
• Weighting: 80% ChatGPT, 20% Google AI Mode (reflects user numbers)

Key Metrics Defined:

Share of Voice (SOV): Semrush metric accounting for frequency and position of brand mentions, alongside prompt volume. Updated October 2025 to reflect how often prompts are searched.

Prompt: The original written request or question given to an AI search platform.

Mention: Clear inclusion of a brand within a response (e.g., “According to Forbes…”)

Source/Citation: Brand that information is attributed to, usually as a small link at the end of passage.

Brand Diversity Score: Number of unique brands appearing in vertical ÷ total prompts. Measures competitive saturation.

Sentiment: Positive, negative, or neutral tone of brand mentions in AI responses.

Report Compiled by: Semrush Enterprise Team
Report Length: 131 pages (original PDF)
Last Updated: November 2025
Next Update: Bi-weekly via AI Visibility Index

This comprehensive market intelligence report synthesizes data from the official 2025 AI Visibility Index Study by Semrush Enterprise, supplemented with current market analysis and strategic recommendations for brand optimization in AI-powered search environments.