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ANNUAL REPORT, 5W RESEARCH · Published June 20, 2026

The State of AI Search 2026: Which Brands Do the Engines Cite?

The State of AI Search 2026 is 5W's annual report on citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It profiles eight categories with modeled citation share leaderboards, shows that top brands combine earned media, original research, community presence, and structured data, and finds local services is the least cited category, with modeled operator citation rates of 6% to 18%.

Full report

Get the full report: 62 pages.

The full PDF includes all category deep-dives, methodology, the 2026 GEO playbook, source mix analysis, and the 90-day, 6-month, and 12-month frameworks for brands competing on the AI answer surface.

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What are the ten findings that define the year?

FINDING 01

Citation share is concentrating faster than market share.

In most tracked categories the top three brands captured a modeled majority of citations across the five engines. In sports betting, DraftKings (100) and FanDuel (98) are effectively tied at the top, with BetMGM third at 78.

FINDING 02

The top-cited brand wins disproportionate consideration.

The brand cited first inside AI answers tends to capture more buyer-research mindshare than its citation rate alone would predict, a self-reinforcing dynamic that compounds quarter over quarter.

FINDING 03

Each engine has distinct citation preferences.

In the modeled source mix, editorial sources make up 41% of Perplexity citations but 26% of Gemini's, and research and analyst sources are 22% of Claude's mix versus 6% to 10% on the other four engines. Single-engine optimization leaves citation share unclaimed.

FINDING 04

Reddit is a disproportionately influential source.

Community content is a modeled 16% of Perplexity citations and 14% of ChatGPT's, against 7% in Google AI Overviews. In skincare, The Ordinary and CeraVe rank third and fourth in citation share largely on Reddit sentiment.

FINDING 05

Earned media remains the strongest single GEO signal.

Best-in-class brands draw a modeled 30% to 40% of their citations from editorial sources, against 10% to 15% for underperformers. Independent third-party validation outperforms owned content as a citation input.

FINDING 06

Schema markup is a baseline, not a differentiator.

Most leading brands now have comprehensive schema deployments. Absence is a critical gap and presence is table stakes. The next-frontier signal is structured citation density across third-party sources.

FINDING 07

Citation decay is real and measurable.

In 5W's modeling, brands that paused earned media and structured-content investment lost modeled citation share, typically visible within 60 to 120 days and before traditional brand-health metrics reflected it. AI visibility is not a one-time investment.

FINDING 08

Local services categories are dramatically under-cited.

Modeled operator citation rates run from 6% (locksmith) to 18% (dental), while directories and marketplaces take 70% to 90% of answers. Most local businesses are not cited at all.

FINDING 09

AI Overviews are reshaping the SERP economy.

Peec's April 2026 study of 500,000 prompts found Google AI Overviews in 86.7% of searches in its sample, up from 56.9% a year earlier, and other trackers report lower rates depending on method. Brands optimized only for click-through rate are increasingly invisible to a growing share of buyers.

FINDING 10

The citation gap between leaders and challengers is widening.

Across the trailing twelve-month sampling window, quarterly snapshots show brands at the top of category rankings extending their lead while challengers without active GEO programs lost ground. The pattern points to a citation flywheel that is accelerating, not flattening.

Which brands lead in each category?

The report profiles eight categories with brand-level modeled citation share. In each table the category leader is normalized to 100, so scores are comparable within a category but not across categories.

Top-ranked brands by modeled composite citation share, eight categories. Source: 5W State of AI Search 2026, Chapter 4. Modeled directional estimates, not logged query runs.
CategoryTop brand (100)Runner-upRising fast
BeautySephoraUlta Beauty (92)e.l.f. Cosmetics
Crypto and digital assetsCoinbaseKraken (82)Robinhood Crypto
WeddingThe KnotZola (88)Joy
Local servicesAngiYelp (92)Thumbtack
PickleballSelkirkJoola (94)Vatic Pro
Sports bettingDraftKingsFanDuel (98)ESPN BET
B2B SaaSSalesforceHubSpot (94)Notion, Linear
Health and wellnessPelotonOura (92)Hims & Hers

How do the five engines differ in what they cite?

The same buyer query returns a different source mix on each engine. The table shows modeled source-type weighting averaged across the 15+ tracked categories.

Modeled source-type share of citations by engine, averaged across categories. Source: 5W State of AI Search 2026, Chapter 2. Modeled directional estimates.
Source typeChatGPTClaudePerplexityGeminiAI Overviews
Editorial and news32%28%41%26%38%
Wikipedia and reference18%14%9%21%12%
Reddit and community14%8%16%9%7%
Brand-owned sites15%13%14%19%21%
Research and analyst8%22%10%7%6%
YouTube and video5%3%4%11%9%
Other8%12%6%7%7%

What is inside the report? Nine chapters.

01

The State of AI Search in 2026

Market sizing, engine adoption, the shift from blue-link search to synthesized answers, and what the data shows about how buyers research today versus three years ago.

8 pages

02

The Five Engines, Compared

ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews: citation behavior, source preferences, retrieval logic, and category strengths.

7 pages

03

Citation Share & the New Share-of-Voice

How citation share replaces traditional share-of-voice and share-of-search. The 5W AI Visibility Index methodology and what it reveals about category leadership.

6 pages

04

Category Deep-Dives

Citation leadership patterns across eight categories: Beauty, Crypto, Wedding, Local Services, Pickleball, Sports Betting, B2B SaaS, and Health & Wellness.

12 pages

05

The Source Mix Problem

Earned media, Reddit, analyst coverage, structured data, community content: what AI engines actually retrieve and how brands should weight investment across sources.

7 pages

06

GEO vs AEO: The Unified Discipline

The strategic distinction between optimizing for generative engines (GEO) and answer-extraction surfaces (AEO), with prescriptive frameworks for each.

5 pages

07

Local AI Visibility: The Next Frontier

The gap facing local services operators across HVAC, plumbing, dental, funeral, car wash, and home services. What is working and what is not.

6 pages

08

The 2026 GEO Playbook

5W's 90-day, 6-month, and 12-month playbook for brands competing on the AI answer surface, with budget heuristics by activity.

8 pages

09

Methodology & Glossary

Methodology disclosure, scoring framework, statistical notes, and a glossary of every term used in the report.

3 pages

How does 5W research AI search?

Findings are grounded in prompt testing across all five major AI engines, using a method that mirrors the 5W AI Visibility Index Series extended to a full annual sample, with per-category subsets of 600 to 1,000 prompts.

Brand-level citation share scores in the report are modeled directional composites. They combine prompt-response patterns observed during the sampling window with engine source-weighting models calibrated to the 5W AI Visibility Index methodology. They are not logged query runs from a single point-in-time engine instance, because engine outputs vary by user, session, and personalization. Read them as directional patterns at the category and engine level, not as single-query verdicts.

The composite score weights five factors: citation frequency (40%), cross-engine breadth (20%), query-type breadth (20%), extractability (15%), and crawl access (5%). Local and emergent categories carry larger confidence intervals than mature, concentrated ones. Brands that need logged, benchmark-grade data for their own category should use the 5W AI Visibility Index Series.

Frequently asked questions

What is the State of AI Search 2026?

It is 5W's annual research report on citation share, AI visibility, and GEO across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It covers 15+ categories and 10,000+ buyer-intent prompts and profiles eight categories in depth.

Are the citation share scores measured or modeled?

Modeled. Brand-level scores are directional composites built from observed prompt-response patterns and engine source-weighting models, not logged query runs. They are comparable within a category, where the leader is normalized to 100, but not across categories.

Which category is least cited by AI engines?

Local services. Modeled operator citation rates run from 6% for locksmiths to 18% for dentists, while directories and marketplaces such as Angi, Yelp, and Thumbtack take 70% to 90% of answers.

Do all AI engines cite the same sources?

No. In the modeled source mix, editorial sources are 41% of Perplexity citations and 26% of Gemini's, and research and analyst sources are 22% of Claude's mix against 6% to 10% on the other engines.

What is the difference between GEO and AEO?

GEO optimizes brand presence inside generative engines, where success is measured as citation share. AEO optimizes for direct-answer surfaces such as Google AI Overviews and featured snippets, where success is the rate at which your content is extracted as the answer.

How quickly does citation share decay when a brand stops earned media?

In the report's modeling, decay typically becomes visible within 60 to 120 days of reduced investment, often before traditional brand-health metrics move.

For media & analysts.

Press Inquiries

Embargoed access, expert interviews, custom data cuts for editorial projects, and standing briefings for tech and marketing trade press.

press@5wpr.com → →

Analyst Briefings

Custom briefings for industry analysts and research firms covering AI, search, marketing technology, and communications.

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Speaking Engagements

5W research leads are available to present findings at conferences, client events, and industry gatherings. Topics span AI visibility, GEO, AEO, and category-specific data.

Book a speaker → →

Continue into the 5W AI search system.

AI Visibility Index

Explore the category-level benchmarks that feed the State of AI Search annual report, including citation share rankings across consumer and B2B markets.

See the Indexes → →

GEO Glossary

Read the 5W Generative Engine Optimization glossary for the terms, measurement framework, and source-authority concepts used throughout the report.

Read the GEO Glossary → →

AEO Glossary

Compare GEO with Answer Engine Optimization and the direct-answer surfaces reshaping Google AI Overviews, featured snippets, and zero-click discovery.

Read the AEO Glossary → →

About the author

Who wrote the State of AI Search 2026?

The State of AI Search 2026 is a 5W Research report led by Ronn Torossian, founder and chairman of 5W and author of the PR book For Immediate Release.

About 5W

5W is a PR, creative and AI Visibility agency.

5W is a PR, creative and AI Visibility agency, building brand authority across the platforms where decisions now happen (ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews) alongside earned media, digital, and influencer channels. 5W combines public relations, digital marketing, Generative Engine Optimization (GEO), and proprietary AI visibility research, helping clients measure and grow their presence in AI-driven buyer research.

Founded in 2003, 5W has been recognized as a top U.S. PR agency by O'Dwyer's, named Agency of the Year in the American Business Awards®, and honored as a Top Place to Work in Communications in 2026 by Ragan. 5W serves clients across B2C sectors including Beauty & Fashion, Consumer Brands, Entertainment, Food & Beverage, Health & Wellness, Travel & Hospitality, Technology, and Nonprofit; B2B specialties including Corporate Communications and Reputation Management; as well as Public Affairs, Crisis Communications, and Digital Marketing, including Social Media, Influencer, Paid Media, GEO, and SEO. 5W was also named to the Digiday WorkLife Employer of the Year list.

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