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GEO & AEO Landscape: 5 Research Insights You Need to Know Today (July 2026)

  • Writer: lewis greenwood
    lewis greenwood
  • Jul 6
  • 4 min read

The AI search revolution is moving fast. Every day, the rules for how brands get discovered — and cited — inside ChatGPT, Perplexity, Google Gemini, and Claude are being rewritten. Today's deep-dive surfaces the five most important developments shaping the Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) landscape right now.

Insight #1: ChatGPT Has Slipped Below 50% — The Single-Platform Era Is Over

For the first time ever, ChatGPT's share of global AI assistant users has dropped below 50% — sitting at 46.4% as of May 2026, down from 65.3% in December 2024. Simultaneously, Google Gemini now commands 27.7% of users and Anthropic's Claude holds 10.3%. The combined three-platform reach is 84.4% of the entire AI assistant market.

Why it matters for GEO/AEO: Optimising for ChatGPT alone now reaches fewer than half of AI search users. Multi-platform citation strategy is no longer optional — it's the bare minimum for brand visibility. Brands must ensure their content is structured to be discoverable and cited across all three major engines simultaneously.

Source: Sensor Tower State of AI 2026 (published June 16, 2026).

Insight #2: AI Search Converts 4.4x Better Than Organic — But Only 4.2% of Sites Have an llms.txt File

Visitors arriving from identifiable AI search sources (ChatGPT, Perplexity) convert to Marketing Qualified Leads at 4.4% for B2B SaaS — compared to just 1.0% from traditional organic search. That's a 4.4x conversion advantage. AI-sourced buyers also move through the funnel faster, averaging 4.2 research sessions vs 7.8 sessions without AI assistance.

Yet despite this massive advantage, only 4.2% of B2B SaaS domains have published an llms.txt file as of Q3 2025 — a critical technical signal that helps AI engines understand and index your content. Only 36% implement basic structured data (schema markup). The gap between AI traffic opportunity and technical readiness is enormous, and early movers are capturing disproportionate share.

Source: First Page Sage attribution study (Jan–Jun 2025); Semrush technical SEO scan Q3 2025; The Starr Conspiracy AEO Benchmarks 2025.

Insight #3: Content Freshness and Structure Are the Two Biggest Citation Drivers

Two signals now dominate AI citation behaviour across platforms:

  • Freshness: Pages updated within 180 days are 2.7x more likely to be cited by Perplexity than pages older than 12 months. Perplexity's median cited page age is just 11 months vs ChatGPT's 2.3 years — meaning real-time updates matter more than ever for Perplexity visibility.

  • Structure: Pages with 1,500–2,500 words in a question-and-answer format receive 3.8x more LLM citations. Brands with at least 50 glossary entries see 47% higher ChatGPT citation rates, and those with comparison pages against their top 5 competitors earn 5.2x more citations in commercial AI queries.

The strategic takeaway: a content calendar that pairs structured AEO formatting (Q&A, definitions, comparisons, statistics with sources) with a regular refresh cadence is now the most defensible AEO investment a brand can make.

Source: Semrush content format analysis April 2025; Marcel Digital analysis December 2024; First Page Sage comparison content study August 2025; third-party citation audit June 2025.

Insight #4: 58% of B2B Informational Queries Now Return an AI Overview — Organic CTR Crushed

Google's AI Overviews now appear on 58% of B2B informational queries (Semrush, May 2025). AI Overviews reduce click-through rates for the #1 organic result by 58%. Zero-click searches now account for 60% of all Google queries. Traditional search volume is projected to decline by 25% by 2026 as users migrate to AI-native platforms.

Here's the critical nuance: only 36% of pages ranking in Google's top 10 are also cited inside the corresponding AI Overview (Search Engine Land, January 2025). That means ranking well in traditional search no longer guarantees AI Overview inclusion — it merely qualifies you for consideration. The two games are related but distinct.

Crucially, pages cited in AI Overviews have an 84% Core Web Vitals pass rate, vs. 52% for the broader web — confirming that technical performance is an AEO prerequisite, not a nice-to-have.

Source: Semrush Enterprise AI Search Study May 2025; Search Engine Land January 2025, March 2025.

Insight #5: Brand Trust Is Now a GEO Ranking Signal — Values Drive AI Platform Switching

A late-February 2026 episode showed something unprecedented: US ChatGPT uninstalls surged 295% day-over-day and 1-star reviews jumped 775% on the day OpenAI announced a Department of Defense partnership. Simultaneously, Claude's US downloads jumped 51% in a single day as Anthropic publicly declined military AI work — pushing Claude to #1 on the US App Store and past ChatGPT in daily downloads for the first time.

The GEO implication: AI platform loyalty is no longer driven purely by model quality. Users now choose their search engine partly based on the brand values of the company behind it — and that same logic applies to the brands AI engines choose to cite. Building verifiable expertise, editorial transparency, and consistent authoritative publishing is no longer just an SEO play; it's a trust signal that determines whether AI systems treat your content as a reliable source worth citing.

A Pew Research survey from February 2026 found 50% of US adults now feel more concerned than excited about AI in daily life (up from 37% in 2021). Trust-first content strategies are becoming a competitive moat.

Source: Sensor Tower / TechCrunch / Appfigures data (February 2026); Pew Research February 2026.

What This Means for Your GEO & AEO Strategy

Today's landscape is clear: AI search is no longer an emerging trend — it's the dominant search reality. The brands winning in 2026 are those treating GEO and AEO as a multi-platform, measurement-driven discipline. They track citations (not just clicks), they keep content fresh and structured, they invest in technical readiness (llms.txt, schema, Core Web Vitals), and they build the kind of brand trust that AI engines — and the humans behind them — choose to reference.

  • Optimise for ChatGPT, Gemini, AND Claude — single-platform GEO now reaches under 50% of AI search users

  • Publish your llms.txt file — 95.8% of your competitors haven't

  • Refresh your most important content pages every 90–180 days with new data and sources

  • Structure every key page with Q&A sections, definitions, statistics with sources, and comparison tables

  • Track AI citations — not just traffic rank — using citation monitoring across all major AI platforms

This is a daily intelligence briefing published by Detecht — your AEO Mastery partner in Wellington, New Zealand. Come back tomorrow for the next round of deep-dive insights.

 
 
 

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