The reference on being found by AI.
Sourced data, methods and playbooks on how ChatGPT, Perplexity, Gemini & Claude decide which brands they recommend — and exactly how to become one of them.
Analysis of 6.8M AI citations. Source: Yext, 2026
Being found by AI is the new being found on Google.
Generative Engine Optimization (GEO) is the practice of structuring and publishing content so AI answer engines cite it when they respond. The shift is already structural: Gartner projects a 25% drop in traditional search volume by 2026, and up to −50% of organic traffic by 2028.
Source: Gartner, 2024 · gartner.com
89% of B2B buyers now treat AI search as a key source across their buying process, and 51% of software buyers start research with an AI chatbot more often than Google.
Source: G2 & multi-source analysis, 2026
Where attention is moving
Directional, synthesised from Gartner, Conductor & Adobe 2026 benchmarks. Replace with your own measured series.
of all web traffic is now AI referral — but it converts far harder than it looks.
Conductor, 2026
of AI referral traffic comes from ChatGPT alone.
Conductor, 2026
only 38% of AI citations come from the Google top-10. The signals diverged.
AHREFS · 2026
The five citation signals
The foundational peer-reviewed GEO study tested optimisation strategies across 10,000 queries in 25 domains. These are the levers that moved AI visibility most.
Cite your sources
Adding cited sources lifted AI visibility by 41% in controlled tests.
Princeton, KDD 2024Lead with statistics
Specific numbers earned +32% visibility. "20–30% higher ROI" beats "better results".
Princeton, KDD 2024Add quotations
Expert quotes drove the single biggest lift in the foundational GEO study.
Princeton, KDD 2024Structure for retrieval
Schema markup improves LLM discoverability by 67%; lists & short paragraphs get extracted.
Yext, 2026Stay fresh
Recently updated content appears 4.3× more often; 85% of citations are <2 years old.
Seer Interactive, 2026The full GEO playbook
Step-by-step: structure, schema, llms.txt, entity clarity, and how to get cited across every engine.
Speak the language of AI search.
A growing glossary of the terms that define how brands win — or vanish — inside AI answers.
Open the glossary →Optimising content to be cited by AI answer engines.
How often your brand appears across relevant AI prompts.
When an AI splits one question into many sub-searches.
Whether the model mentions you at all, unprompted.
The AI visibility briefing.
New sourced data and one practitioner play, every other week. No fluff.
AI visibility, answered
What is AI visibility?
AI visibility is how often, and how prominently, a brand is cited or recommended inside AI-generated answers from engines like ChatGPT, Perplexity, Gemini and Google AI Overviews. Unlike SEO, which targets a ranking position in a list of links, AI visibility targets inclusion in the synthesised answer itself.
Is GEO different from SEO?
Yes. They share technical foundations (clean architecture, structured content, authority) but diverge on what they optimise for. SEO targets keyword rankings; GEO targets citation frequency. In 2026, fewer than 10% of sources cited by ChatGPT, Gemini and Copilot rank in the Google top 10 for the same query — strong rankings no longer guarantee AI visibility.
How long does GEO take to work?
Faster than classic SEO in many cases. Some brands see citations within 2–4 weeks of publishing authoritative, well-structured content, but building consistent visibility typically takes 3–6 months of sustained effort.
Can you pay to appear in AI answers?
As of early 2026, no major AI platform offers paid placement inside generative answers. Citations are earned through content quality, structural retrievability, entity clarity and off-site trust signals — not ad spend.
Who is behind AI Visibility Guide?
An independent editorial research team. We publish sourced data and practitioner playbooks, attribute every figure to its primary source, and review all content with humans before publishing. See the team and methodology.