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 strongest predictor of whether AI models cite your page. Per the foundational GEO paper (Aggarwal et al., 2024, Princeton/IIT Delhi, KDD '24), content that structurally resembles AI-generated answers — clear definitions, fluency, structured reasoning — is cited significantly more often. Fluency Optimization was among the most effective individual strategies tested across 10,000 queries.

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). Structured-data signals — JSON-LD schema, meta tags, OpenGraph, heading hierarchy, and llms.txt presence — are extracted separately and provided to the AI. The content and signals are then analyzed by Claude Sonnet (Anthropic) against a structured rubric derived from 2024-2026 AI citation research, covering all 9 GEO ranking factors. The analysis returns a scored report in under 30 seconds.

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. Research on schema markup's impact on AI citations is mixed — some studies show FAQPage schema boosts citation rates significantly, while others (e.g., Ahrefs) find no meaningful correlation.

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. The standard was proposed in 2024 and is gaining adoption among AI-forward publishers, though major AI crawlers' actual use of it is still limited and debated. Adding one signals AI-readiness and is a low-cost, low-risk signal worth implementing.

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 9 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

9 Factors That Determine Your AI Visibility

Based on the latest 2024-2026 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 strongest predictor of AI citation. Per the foundational GEO paper (Aggarwal et al., 2024, Princeton/IIT Delhi, KDD '24), content that structurally mirrors AI-generated answers — clear definitions, fluency, structured reasoning — is cited significantly more often. The study tested 9 optimization strategies across 10,000 queries and found GEO methods can boost visibility by up to 40%.

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 9 factors: Content-Answer Fit (22%), AI Citability (18%), Credibility & Trust (18%), Information Gain (12%), Content Quality (10%), Content Freshness (8%), Technical SEO (5%), Brand Mentions (4%), Platform Optimization (3%).

Analysis is powered by Claude Sonnet (Anthropic) and Jina.ai. Structured-data signals are extracted separately and provided to the AI. Scoring weights reflect empirically-measured contribution to AI citation likelihood. Built by Net Studio. Last updated: July 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. The strongest predictor of AI citation per Aggarwal et al. (2024).
Information Gain: The degree to which a page provides information not available elsewhere. AI engines penalize derivative or duplicate content.
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. Adoption by major AI crawlers is still limited and debated.