GEO (Generative Engine Optimization) is the practice of optimizing your website to be cited by AI-powered answer engines — ChatGPT, Perplexity, Google AI Mode, Claude, and Gemini — not just traditional Google search results. It is the most important SEO evolution of 2025-2026. Unlike traditional SEO, where success means a high-ranked position on a results page, GEO success means your brand appears inside the AI's generated answer.

What is Content-Answer Fit and why does it matter?

Content-Answer Fit is the #1 factor determining whether AI models cite your page, accounting for approximately 55% of citation likelihood in a 400,000-page study by Sellm et al. (2026). It measures how closely your content mirrors the way AI models formulate their own explanations. Content with high Answer Fit gets cited 3.4 times more often than equivalent-authority pages without it.

How does the GEO SEO Tool work?

Enter your domain, and our system fetches your website content as clean markdown (via Jina.ai, with a direct HTML fallback). The content is then analyzed by Claude Sonnet (Anthropic) against a structured rubric derived from 2026 AI citation research, covering all 8 GEO ranking factors. The analysis returns a scored report in under 30 seconds.

What categories does the analysis cover?

The analysis covers 8 key factors: Content-Answer Fit (25% weight), AI Citability (20%), Credibility and Trust / E-E-A-T (20%), Content Freshness (10%), Content Quality (10%), Brand Mention Potential (5%), Technical SEO (5%), and Platform Optimization (5%). These weights reflect each factor's empirically-measured contribution to AI citation likelihood.

Which AI platforms does this analyze for?

Our scoring methodology covers ChatGPT (with web search), Perplexity AI, Google AI Mode (formerly AI Overviews), Claude, Gemini, and Microsoft Copilot. The citation factors are largely consistent across all these platforms, though Perplexity weights freshness more heavily and Google AI Mode weights structured data more heavily.

What is llms.txt and do I need one?

llms.txt is an emerging open standard analogous to robots.txt, but for AI systems. It is a markdown file placed at your domain root that tells AI crawlers what content exists on your site and how to access it. Adding one signals AI-readiness and can improve how LLMs parse and index your content.

Yes. Your first full analysis report is completely free. No credit card, no signup required — just your domain and your email to receive the report. Pro access ($4.99, one-time) lets you analyze up to 10 domains for competitive benchmarking.

What does the GEO score mean?

The GEO score (0-100) reflects how well your website is optimized for AI citation. 70+ is strong (AI citation likely), 50-69 is Needs Work (some potential), and below 50 means poor AI visibility. Most real websites score between 35-55. The average landing page scores 38.

Free AI Visibility Analyzer — 2026 Methodology

Is Your Website Invisible to AI Search?

Find out if ChatGPT, Perplexity, Google AI Mode, and Claude cite your website — or your competitors. Get your GEO score across 8 ranking factors in 30 seconds, free.

Free · No signup · No API key required

GEO factors analyzed

30s

Average analysis time

100%

Free first report

What We Analyze

8 Factors That Determine Your AI Visibility

Based on the latest 2026 research into how ChatGPT, Perplexity, Google AI Mode, and Claude decide which sources to cite.

What Is GEO (Generative Engine Optimization)?

Generative Engine Optimization (GEO) is the practice of structuring and writing web content so it gets cited by AI-powered answer engines — including ChatGPT, Perplexity AI, Google AI Mode, Claude, Gemini, and Microsoft Copilot — rather than just ranked by traditional search algorithms.

Unlike traditional SEO, which targets a ranked position on a results page, GEO targets inclusion inside the AI’s generated response. When a user asks ChatGPT a question, the AI synthesizes an answer from sources it trusts. GEO determines whether your brand is one of those sources.

Content-Answer Fit is the #1 predictor of AI citation, responsible for approximately 55% of citation likelihood in a 400,000-page study (Sellm et al., 2026). Pages with high Answer Fit are cited 3.4× more often than equivalent-authority pages without it.

The GEO Optimization Checklist

Audit Content-Answer Fit — rewrite openings to directly answer the user’s question
Add FAQPage schema markup (JSON-LD) to all FAQ sections
Add named author attribution with credentials
Create a llms.txt file at your domain root
Add visible publication and last-updated dates
Include specific statistics and data points (replace vague claims)
Cite external research sources inline
Optimize OpenGraph and Twitter Card meta tags
Add a GEO glossary or definitions section
Develop proprietary research or original data

Scoring Methodology

The GEO score is a weighted average across 8 factors: Content-Answer Fit (25%), AI Citability (20%), Credibility & Trust (20%), Content Freshness (10%), Content Quality (10%), Brand Mentions (5%), Technical SEO (5%), Platform Optimization (5%).

Analysis is powered by Claude Sonnet (Anthropic) and Jina.ai. Scoring weights reflect empirically-measured contribution to AI citation likelihood. Built by Net Studio. Last updated: June 2026.

GEO Glossary

Generative Engine Optimization (GEO): The practice of optimizing web content to be cited inside AI-generated answers from ChatGPT, Perplexity, Google AI Mode, Claude, and Gemini.
Content-Answer Fit: The degree to which content structurally resembles how an AI model would formulate an answer. Responsible for approximately 55% of AI citation likelihood.
AI Citability: How easily an AI model can extract a discrete, trustworthy claim from your content as a standalone quotable fact.
E-E-A-T: Experience, Expertise, Authoritativeness, Trustworthiness — credibility signals used by AI citation models.
llms.txt: An emerging standard (like robots.txt for AI) that declares what content AI crawlers should index from your site.