Free AI SEO Tools
Fourteen free tools that make your site readable, citable, and recommendable by ChatGPT, Gemini, Claude, Perplexity, and Google's AI Overviews. Generators run in your browser — analyzers run on our server — and your data is never used for training.
llms.txt Generator
Create a clean llms.txt file that tells ChatGPT, Claude, and Perplexity what to read on your site.
- Markdown output
- Docs + optional sections
- Copy or download
FAQ Schema Generator
Build valid FAQPage JSON-LD that wins AI Overviews and Google rich results.
- Unlimited Q&A pairs
- Schema.org compliant
- Pasteable <script> block
AI-Aware robots.txt
Generate a robots.txt that allows the right AI crawlers (GPTBot, ClaudeBot, Perplexity, Google-Extended).
- 12+ AI bots covered
- Per-bot allow/disallow
- Sitemap directive
JSON-LD Schema Generator
Quickly scaffold Organization, Article, or Product JSON-LD that AI engines actually use.
- 3 schema types
- Validated output
- Rich Results ready
HowTo Schema Generator
Turn any step-by-step procedure into valid HowTo JSON-LD that answer engines extract cleanly.
- Unlimited steps
- Supplies + total time
- Pasteable <script> block
JSON-LD Schema Validator
Paste structured data and see missing required fields, broken dates, and AI-search warnings instantly.
- Per-type rule sets
- @graph and arrays
- Nothing leaves your browser
AI Answer-Readiness Checker
Score any page copy on how easily ChatGPT and Perplexity can lift a quotable answer out of it.
- 0–100 score
- Five extraction factors
- Specific rewrite guidance
AI Brand Mention Tracker
Estimate how likely ChatGPT, Perplexity, and Claude are to mention your brand for key queries.
- Homepage signal analysis
- Per-engine likelihood
- Actionable fixes
AI Rank Tracker
Estimate your domain's position and share of voice inside ChatGPT and Perplexity answers.
- 5 keywords per run
- Position 0–5
- Share-of-voice %
AI Visibility Checker
Score any domain 0–100 on the signals answer engines weigh: crawler access, llms.txt, schema, metadata and answer-shaped copy.
- 11 live checks
- Per-bot crawler matrix
- Exact fix per gap
AI Answer Visibility Checker
Ask a live AI answer engine the question your customers ask — three runs — and see if it names you, where, and who it cites instead.
- Mention rate 0–100%
- Position in the answer
- Saved run history
llms.txt Validator
Validate any llms.txt file for structure, absolute links, summary length, and content type.
- URL + paste validation
- H1/Docs checks
- Content-type guidance
AI Citation Opportunity Finder
Find content gaps that stop AI engines from citing you, then get page outlines to close them.
- Topic-cluster gaps
- Prioritized opportunities
- Page outlines
ai-plugin.json Generator
Generate the ai-plugin.json manifest that exposes your site as a tool to AI agents.
- OpenAPI integration
- Auth flow options
- Hosted at /.well-known/
Why we built these tools
AI search is now a top-of-funnel channel for most sites, but the scaffolding it depends on — llms.txt, AI-aware robots.txt, FAQ JSON-LD, ai-plugin.json — is missing on most of the web. So we built clean, free versions of the five files you actually need. Fill in a form, get a valid copy-ready file, ship.
Ship them in this order
AI-aware robots.txt
The gate. Sets crawler permissions for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended and more. Get it wrong and nothing downstream matters.
llms.txt
A Markdown brief at your domain root pointing AI models at your canonical pages — the executive summary you'd hand an analyst.
JSON-LD schema
Organization on every page; Article on posts; Product on PDPs; FAQPage on Q&A. How AI engines verify what your pages are about.
FAQ schema
Highest-leverage schema for AI Overviews and chat-assistant citations. Build it for your top 5–10 pages.
ai-plugin.json
Only if you have an API worth exposing. Hosted at /.well-known/ai-plugin.json so agent frameworks discover it.
How each AI engine reads your files
Match the right file to the right crawler. An hour spent here saves months of guessing why citations aren't moving.
| Crawler | Owner | robots.txt | llms.txt | JSON-LD |
|---|---|---|---|---|
| GPTBot | OpenAI | |||
| OAI-SearchBot | OpenAI | |||
| ClaudeBot | Anthropic | |||
| PerplexityBot | Perplexity | |||
| Google-Extended | Google (Gemini, AI Overviews) | |||
| Applebot-Extended | Apple Intelligence, Siri | |||
| CCBot | Common Crawl |
A pragmatic order for a busy team
robots.txt
Allow GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Applebot-Extended. Add sitemap directive. Push to /robots.txt.
llms.txt
Short, opinionated: H1 brand, blockquote summary, ## Docs list of ten canonical pages. Push to /llms.txt.
Organization JSON-LD
One block in your site-wide template. Gives every AI engine a verified brand entity to attach citations to.
FAQ JSON-LD ×5
Pricing, home, top blog post, primary product page, contact. Four to eight real Q&A pairs each.
Mistakes we catch every week
A wildcard Disallow: / for User-agent: * also catches every AI crawler. Six months of zero ChatGPT citations follow.
A 301 from /llms.txt reads as 'file missing' to most AI crawlers. The file must live at the root.
Some CMSes wrap files in an HTML shell. curl -I should return text/plain or text/markdown — not text/html.
Engines spot-check rendered HTML. Mismatch = schema ignored, sometimes for the whole domain.
Half the URLs 404. Engines learn to distrust the file and de-rank everything in it.
Every acronym, defined
These generators produce files. They don't crawl your site, audit your existing schema, check whether your pages are actually cited by AI engines, or monitor for drift over time. That's what the full OptimAIze scan does — also free. Generate your files here, then run a scan to verify they're discoverable and that the rest of your site is pulling its weight.
Want the full audit, not just the files?
OptimAIze scans your whole site, validates the files you just generated, and shows you exactly which AI engines can read what — in under 60 seconds.
Run a free scanFrequently asked questions
Are these tools really free?
Yes. Every generator on this page runs entirely in your browser, no signup, no rate limits, no email required. We ship them because making the web AI-readable is upstream of the audit business we run — the more sites publish proper llms.txt, FAQ schema, and AI-aware robots.txt, the healthier the AI search ecosystem becomes.
Which file should I publish first?
Start with an AI-aware robots.txt — that one decides whether GPTBot, ClaudeBot, PerplexityBot, and Google-Extended can read your site at all. Then publish an llms.txt at your domain root to point engines at your best pages. After that, add FAQ JSON-LD to your highest-intent pages (pricing, docs landing, top blog posts) so AI engines can lift answers verbatim.
Do I need all five files?
Most sites benefit from llms.txt, AI-aware robots.txt, and FAQ + Organization JSON-LD. ai-plugin.json only matters if you expose a real API that agents can call (search endpoints, lookups, transactional actions). Product JSON-LD only matters for e-commerce. Pick what fits your stack — they all stack additively.
Will Google penalize me for adding AI files?
No. None of these files conflict with Google ranking signals. robots.txt rules for AI bots are independent of Googlebot, llms.txt is ignored by classic search, and JSON-LD has been a Google-recommended format since 2015. The only risk is over-promising in schema (e.g. fake reviews) — which is the same risk that already existed.
How do I know my files are working?
After publishing, run a full OptimAIze scan on your domain. The scanner fetches each file the way AI crawlers do, validates structure, checks discoverability, and tells you which AI engines can actually parse what you shipped. It's the verification step the generators don't do.
What's the difference between llms.txt and sitemap.xml?
sitemap.xml is an exhaustive machine list of every URL for search-engine indexing. llms.txt is a short, curated, human-readable brief for AI models — it picks your canonical pages and explains the site in plain English so LLMs can quote you accurately. They serve different jobs and both should exist.
Choose the tool that answers your immediate question
Use a crawler-access check for a suspected access barrier, a schema validator for markup syntax, a generator for a draft file, and a visibility probe for recorded AI answers. These are different tasks. A generated file still needs review and deployment; a readiness score is not a position in an AI answer or a forecast of visits.
Work from evidence to a verified change
Read the detailed findings instead of only a headline score. Confirm failures against the live page, fix the clearest problem and rerun the same input. Generators may operate on supplied content, while scanners may retrieve pages or model responses; consult each tool’s instructions rather than assuming every result is a live crawl.
Keep a record of what changed
Save the original URL, input, date and evidence before editing. Verify the deployed page or file, document the changes and repeat the same checks. Separate technical validity, correct answer representation and qualified visits; none should be used as a substitute for the others.
Evidence and next actions
| Check | Evidence to retain | Action |
|---|---|---|
| Access | Public status and useful response body | Fix barriers before rewriting |
| Accuracy | Visible facts and supporting primary sources | Correct unsupported statements |
| Markup | Valid syntax that matches the page | Remove invented reviews and properties |
| Outcome | Comparable responses and referral activity | Report observations without guarantees |
Implementation checklist
- Use the tool or guide matching the problem.
- Verify important facts against current primary documentation.
- Keep private data out of published files and support requests.
- Check changes on the real domain.
- Retain comparable before-and-after evidence.
A repeatable workflow
- 1Establish a baseline
Save the page URL, date, language, target market and exact questions before editing. Record what the page actually says and what each tested answer cites; a mention without a source link is not a citation.
- 2Make one coherent change
Resolve the clearest failure first, then check the published page rather than only an editor preview. Keep an implementation log so unrelated redesigns, campaigns or product changes are not mistaken for the effect of this work.
- 3Repeat and compare
Repeat the same questions and technical checks after deployment. Keep engines and measurement conditions consistent, report sample size, and inspect answer accuracy alongside citations. A single response is not a stable ranking.
More questions answered
- Does this guarantee an AI citation?
- No. A crawlable, accurate page can still be omitted. Retrieval, source selection and generated answers vary between products and requests; these checks improve the evidence available, not guarantee placement.
- How do I tell whether an improvement worked?
- Compare like-for-like checks and retain the underlying evidence. Track correct brand mentions, source-linked citations and qualified referral visits separately. Do not call a technical score a traffic forecast or attribute every change to one edit.