Generative Engine Optimization (GEO)

AI Search & GEO Audit Tool

Scan your website to see if it is ready for ChatGPT Search, Perplexity, and Claude. Inspect context files, crawler access, structured data, and authority citations in seconds.

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Why GEO Matters in 2026

Software buyers are increasingly asking conversational AI assistants for software recommendations instead of scrolling through pages of sponsored search ads. When someone asks Perplexity or ChatGPT, "What are the best tools for X?", your startup needs to be cited.

1. AI Context Ingestion

Standardized /llms.txt files provide high-signal, markdown-formatted documentation for AI scrapers and copilots.

2. Entity Knowledge Graph

SoftwareApplication JSON-LD schemas explicitly tell AI models your software pricing, category, and primary use cases.

3. Third-Party Citations

AI engines verify legitimacy using trusted directories with strong domain ratings like Launchory (DR 60).

Frequently Asked Questions

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing digital content so that artificial intelligence search engines — including Perplexity, ChatGPT Search, Claude, and Google AI Overviews — discover, trust, and cite your product in generated answers.

How does GEO differ from traditional SEO?

Traditional SEO targets keyword rankings on 10 blue link search results pages. GEO optimizes for citation retrieval by Large Language Models. AI engines synthesize answers from trusted entities, Schema.org structured data, context files (/llms.txt), and verified high-authority directory backlink profiles.

Why does Launchory authority matter for GEO?

Language models rely heavily on curated, high-authority web indexes (like Launchory DR 60) to verify that a SaaS product or startup is real and reputable. An active permanent dofollow listing provides the strong entity-graph confirmation AI search algorithms check when selecting products to cite.

What is llms.txt and do I need one?

The /llms.txt standard provides a concise markdown summary of your product, documentation, and APIs at your root domain. AI assistants like Claude, Cursor, and ChatGPT fetch it to quickly understand your software architecture and feature set without consuming unnecessary tokens.

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