GEO resources

Generative Engine Optimization (GEO): how AI engines cite brands

When buyers ask ChatGPT, Perplexity, Gemini, Claude or Grok for the best tool, the clearest answer, or who to trust, those engines pull from the live web — and each cites a different mix of sources. This is our evidence-grounded, regularly-dated guide to how that actually works, built from the same research that powers the S6S product.

Published June 17, 2026 Last updated October 16, 2026Data current as of August 2026

AI search changes fast — what these engines cite can shift within days to weeks, not months. This page reflects research current as of August 2026 and is reviewed quarterly. Every statistic below is dated to its source so you can judge how current it is.

Key takeaways

  • AI engines search the live web — what they cite can change within days to weeks, not on a months-long training cycle.
  • Each engine leans on different sources (YouTube is the most-cited site in Google AI Overviews but #8 in ChatGPT), so per-engine optimization is the work.
  • Your own website is typically only ~5–15% of your AI citations — the rest is earned media + third-party listings (Gemini leans most on owned domains).
  • Most popular GEO 'fixes' (schema-for-citations, llms.txt) are not supported by the evidence.

Guides

How ChatGPT, Perplexity, Gemini, Claude & Grok decide what to cite (2026 data)

Per-engine breakdown of what drives citations — and the GEO tactics the data refutes.

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How to get cited by ChatGPT: a 2026 playbook

Our working model of the three layers behind ChatGPT's answers, and one move for each — plus the criteria it says it weighs.

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How to get cited by Perplexity: a 2026 playbook

Perplexity cites on every answer — how it reranks its 3–4 sources, and how to make the shortlist (Reddit, freshness, answer-first).

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How to get cited by Google Gemini: a 2026 playbook

Gemini is Google's index with an LLM on top — why ranking matters most, and why it's the one engine that rewards your owned domain.

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How to get cited by Claude: a 2026 playbook

Claude is Brave-backed and depth-biased — it rewards research, named authors and deep articles, and under-cites mainstream media.

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How to get cited by Grok: a 2026 playbook

Grok reads the live web and the X firehose — why practitioners report presence on X and freshness mattering more here than anywhere else.

Read

How to measure AI visibility (2026): a practical framework

A practical framework for measuring whether AI engines mention and recommend you — per engine, observed kept apart from readiness.

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GEO for B2B SaaS: how to get your software recommended by AI (2026)

The archetype playbook: where B2B SaaS actually gets cited (listicles, directories, Reddit, comparisons) and how to win each engine's venues.

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Backlinks vs brand mentions: what moves AI visibility (2026 evidence)

Six studies and Google's spam policy compared: mentions on the sites AI cites track visibility more closely than backlink counts.

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Does social media help AI visibility? Every channel ranked (2026)

LinkedIn, YouTube, Instagram, Reddit and X ranked by evidence, per engine, for B2B companies and for local businesses.

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How local businesses get recommended by AI: the 2026 evidence

For salons, clinics and barbers: the sources local AI answers read (Google profile, reviews, your site, sector guides), ranked by evidence, with the first Dutch data.

Read

More guides are published and dated as they go live.

Sources & dates

  1. [1] Ahrefs Brand Radar correlation study — N=75,000 brands (DR>40, ≥800 monthly volume) across ChatGPT, AI Mode and AI Overviews; Spearman correlation, uncontrolled. Extends Ahrefs' May 2025 AI Overview study of the same brands · Dec 2025 · link
  2. [2] McKinsey / Muck Rack multi-vendor citation source mix — A brand's own website is ~5–15% of its AI citations; the rest is earned media + claimable third-party listings (corroborated by 6+ vendors) · 2025–26 (multi-vendor)
  3. [3] Ahrefs: the 50 most-cited websites per AI engine — Brand Radar, US queries, September 2026 snapshot: YouTube is the #1 cited site in Google AI Overviews (22.9% of top-50 citations) but #8 in ChatGPT (2.5%); Reddit leads ChatGPT, Perplexity, Gemini and AI Mode. Shares are of the top 50 only; refreshed monthly · Sep 2026 · link
  4. [4] MaxAEO update-timeline study — 18 site changes at 12 B2B SaaS companies: on ChatGPT, Gemini, Perplexity and Google AI Overviews, search-grounded answers reflected a change after a median of 3 days (Perplexity) to 9 (Gemini), 24 at the longest. Across all 7 platforms tracked, medians ran 3–11 days and the longest was 31 (Copilot). Observational, vendor-run · Jan–Apr 2026 (published Jun 2026) · link

Correlational figures (e.g. Ahrefs r-values) describe association, not causation, and come from single-vendor datasets — treat them as directional. We refresh this page quarterly as the engines and the evidence base evolve.

Check your AI readiness — free

Run the free readiness check — it inspects your published robots rules, initial HTML and detected structured data, with no signup. It does not query the engines: measuring whether ChatGPT, Gemini and Perplexity actually mention and recommend your brand is what the monitored S6S product does, currently in private beta.

Run the free readiness check