LLM optimization tools that get your brand cited by ChatGPT, Gemini & AI Overviews
LLM optimization (also called generative engine optimization, GEO or AEO) is how you get named inside AI answers instead of buried beneath them. Measure your AI visibility free, find what’s blocking you, and fix it.
Search didn’t disappear.
It moved inside the answer.
When an AI assistant recommends three brands, there is no page two. You are either named, or you do not exist for that buyer.
LLM optimization, explained in plain English
LLM optimization is the practice of making your website easy for large language models to find, parse, trust and quote — so that ChatGPT, Google AI Overviews, Gemini, Perplexity and Claude mention your brand when people ask questions in your category.
It goes by several names. Generative engine optimization (GEO) emphasizes the engines, answer engine optimization (AEO) emphasizes the answer, and AI search optimization is the umbrella term. They describe the same discipline: earning a place inside AI-generated answers rather than only in the blue links below them.
The four pillars
- LLM visibility measurement — mention rate, citation share and share of voice across every engine that matters.
- Technical AI readiness — crawler access for GPTBot and ClaudeBot, clean HTML, schema markup and llms.txt.
- Answer-first content — self-contained, quotable passages that models can lift directly into an answer.
- Entity and brand authority — consistent naming plus presence in the third-party sources AI systems trust.
Everything you need to win AI search
Eight purpose-built AI visibility tools and generators. All live, all free, all running in your browser — no signup and no credit card.
LLM Rank Tracker
Ten buyer-intent prompts, scored across ChatGPT, Perplexity, Google AI Mode, Claude and Copilot — position, citation and who gets named instead.
Track my brand →AI Visibility Checker
An AI brand visibility tool that shows how often ChatGPT, Gemini and Perplexity mention you versus competitors.
Run a check →AI Overview Checker
Find which keywords trigger Google AI Overviews — and which domains those Overviews cite.
Check a keyword →ChatGPT Rank Tracker
AI visibility tracking over time: monitor whether assistants cite your domain for your prompt set.
Start tracking →FAQ Schema Generator
Turn questions and answers into valid JSON-LD markup AI engines can parse. Instant, free.
Generate schema →Schema Generator
Article, HowTo, Organization and Breadcrumb JSON-LD from plain form fields. The hub for every generator here.
Generate JSON-LD →llms.txt Generator
Create a spec-compliant llms.txt that gives AI systems a curated map of your site.
Generate llms.txt →GEO Audit
Score any page against 20 weighted AI-citation readiness checks and get a prioritized fix list.
Audit a page →From invisible to cited in three steps
A repeatable AI visibility tracking loop you can run every month.
Measure your AI visibility
Run the AI Visibility Checker and AI Overview Checker to baseline mention rate, citation share and competitor share of voice across ChatGPT, Gemini, Perplexity and Google AI Mode.
Fix what blocks citation
Unblock AI crawlers in robots.txt, add FAQ and Organization schema, publish llms.txt, and restructure key pages answer-first so models can quote them.
Track and compound
Re-run the same prompt set weekly. AI visibility compounds — early citations feed the third-party sources that earn you more citations.
Built for teams losing clicks to AI answers
If your buyers research in ChatGPT or your keywords now show AI Overviews, LLM optimization is no longer optional.
- SEO teams and consultants adding AI search visibility reporting to client work.
- SaaS and ecommerce brands that get named — or skipped — in AI recommendation prompts.
- Agencies that need an AI visibility platform without a $250/month contract.
- Content teams rewriting existing pages to be citation-ready.
Paid AI visibility platforms start at $99/month
Most teams don’t need an enterprise platform on day one — they need an honest baseline and the fixes that follow. That’s exactly what these tools do. When you outgrow them, our independent comparison shows which paid tool fits.
LLM optimization questions, answered
What is LLM optimization?
LLM optimization is the practice of structuring your website and brand presence so large language models — ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews — can find, understand, trust and quote your content when generating answers. Where traditional SEO earns a position in a list of links, LLM optimization earns a mention inside the answer itself.
Is LLM optimization the same as GEO or AEO?
Broadly yes. Generative engine optimization (GEO), answer engine optimization (AEO), AI search optimization and LLM SEO all describe the same shift from ranking pages to being cited in AI answers. GEO emphasizes the generative engine, AEO emphasizes the answer format, and LLM optimization emphasizes the models. Most practitioners use them interchangeably. See our GEO vs SEO guide for the practical differences.
How do I check my AI visibility?
Define 15–30 prompts a real buyer would ask, run them across each AI engine, and record how often your brand is mentioned or cited versus competitors. Our free AI Visibility Checker automates the prompt set, and the AI Overview Checker shows which of your keywords trigger Google AI Overviews and who they cite.
Does LLM optimization replace SEO?
No. Retrieval-based assistants pull heavily from pages that already rank well in traditional search, so strong SEO is the supply line that makes LLM optimization work. Treat it as a layer on top of solid technical and content SEO, not a replacement for it.
How long does LLM optimization take to work?
Retrieval-driven changes — unblocking AI crawlers, adding schema, restructuring pages answer-first — can show up within weeks because they affect what assistants find at answer time. Reputation-driven changes, like earning mentions across third-party review sites and forums, build over months. Changes to what models know from training data only arrive with new model releases.
Which AI engines should I track first?
Google AI Overviews first, because they sit on top of the search demand you already depend on. Then ChatGPT for the largest assistant audience, and Perplexity for high-intent researchers. Broader coverage — Gemini, Claude, Copilot, Grok — matters more as your audience skews technical or enterprise.
Are these AI visibility tools really free?
Yes. The FAQ Schema Generator, llms.txt Generator and GEO Audit run entirely in your browser at no cost and require no signup. The AI Visibility Checker, AI Overview Checker and ChatGPT Rank Tracker are free during beta and delivered by email, because querying multiple AI engines carries real compute cost.
What is llms.txt and do I need one?
llms.txt is a proposed standard for a markdown file at your site root that gives AI systems a curated map of your most important pages — like robots.txt, but for meaning rather than permissions. No major AI provider has formally committed to honoring it yet, but it takes minutes, carries no risk, and signals machine-friendliness. Build one with our free llms.txt generator.
Learn LLM optimization properly
Researched, opinionated guides — not recycled listicles.
LLM SEO: The Complete Guide
How large language models choose what to cite — and the seven tactics that actually move it.
Read the guide →GEO vs SEO
Where generative engine optimization differs from classic SEO, and why you need both.
Read the guide →AI Visibility Explained
Mentions, citations, share of voice — the metric behind AI search and how to measure it.
Read the guide →Best AI Visibility Tools 2026
An independent comparison of 10 platforms by real pricing and engine coverage.
See the comparison →