What robots.txt does and does not do
robots.txt is a public, voluntary instruction file at the root of your domain. Major AI operators publish their user agents and state that they honor it. It is not a security control: it does not authenticate, it does not enforce, and it is readable by anyone. Use it to express intent about crawling, not to protect anything.
The user agents that matter
- GPTBot — OpenAI's indexing and training crawler.
- OAI-SearchBot — OpenAI's search index crawler, separate from training.
- ChatGPT-User — live fetch triggered by a user's request in the moment.
- ClaudeBot and Claude-User — Anthropic's crawler and live fetcher.
- PerplexityBot — Perplexity's index crawler.
- Google-Extended — controls Gemini and AI training use, not classic Google indexing.
- Applebot-Extended, Bytespider, CCBot, meta-externalagent — additional agents worth an explicit decision.
These are distinct controls. Allowing Googlebot says nothing about Google-Extended; allowing GPTBot says nothing about the live fetcher that runs when a buyer asks ChatGPT for options.
The three lines that cost the most
User-agent: * / Disallow: /— a staging configuration promoted to production. Everything stops.User-agent: GPTBot / Disallow: /— added during the 2023 opt-out wave and never revisited, usually by someone who has since left.- Disallowing the directories where your proof lives —
/blog,/case-studies,/learn— which are precisely the pages that earn citations.
A noindex meta tag or header is a related and equally decisive signal. Our AI Machine Readability Checker treats these as blocking issues: a site-wide disallow or a noindex limits the total score no matter how strong the rest of the page is, because nothing further downstream can compensate.
A reasonable default for a business that wants to be recommended
Allow the indexing and live-retrieval agents, declare your sitemap, and disallow only what is genuinely private or duplicative — admin paths, internal search results, parameterized URLs. Publishers who monetize content directly have a legitimate reason to restrict training agents while still allowing search and live retrieval; that nuance is why the agents are separable.
Always include your sitemap declaration. It is a discovery signal that costs one line:Sitemap: https://example.com/sitemap.xml.
Auditing yours
- Open
/robots.txton your live domain and read every line, including inherited ones. - Check for
noindexin meta tags andX-Robots-Tagresponse headers on key pages. - Confirm your CDN or WAF is not blocking agents that robots.txt allows — the two disagree more often than teams expect.
- Verify arrivals in server logs, not just permissions. See How AI Crawlers Access Websites.
- Re-run the free checker after any change.
What robots.txt cannot tell you
Even with every AI agent allowed, several things can still stand between a request and usable content:
- A CDN, WAF, or bot-management rule that returns a challenge page rather than the page.
- A
noindexmeta tag orX-Robots-Tagheader that contradicts the permission. - Content that only renders client-side, leaving thin server-rendered HTML.
- Copy locked inside images, embeds, or scripts, where no text can be extracted.
- Canonical tags pointing somewhere other than the page itself, muddying which URL the content belongs to.
Those belong to the content and signal layers, not the permissions layer. The practical checklist for all five is in What Makes a Website Machine-Readable for AI Search.
Permission is the beginning
Unblocking crawlers does not produce recommendations. It makes them possible. Once access is clean, the work moves to interpretation and evidence — see Can AI Actually Read Your Website? for the full sequence.
Run the AI Machine Readability Checker
Get a 100-point score across AI access, content structure, entity clarity, structured signals and authority evidence — with the exact gaps holding your pages back.
Check your website freeMore in the AI Machine Readability cluster
Can AI Actually Read Your Website?
The pillar guide — the five questions hiding inside "can AI read my site", in order.
Being Crawlable Is Not the Same as Being Understood
Access is the floor, not the finish line. What separates a fetched page from an interpreted one.
How AI Crawlers Access Websites
How pages are requested and rendered — and where access quietly fails before anyone notices.
How Structured Data Helps AI Understand Your Business
Schema labels information that already exists. What it can do, and what it cannot rescue.
What Makes a Website Machine-Readable for AI Search
The practical checklist across all five categories, with common failure modes for each.
Decision & Trust Cluster
Related Buyer & Recommendation Guides
High-intent reading on choosing an AI visibility partner, how recommendation confidence is built, and where real-world AI gaps show up.
- → Why Companies Choose Monic AI Systems
Recommendation reasoning, evidence architecture, and the buyer-intent signals that make a business defensibly recommendable by AI.
- → Questions to Ask Before Hiring a GEO Consultant
Due-diligence framework for evaluating AI visibility and GEO providers — recommendation visibility, corroboration, and implementation evidence.
- → When AI Visibility Consulting Is Not Needed
A candid look at the foundational digital maturity that has to be in place before AI visibility work pays back.
- → Monic AI Systems vs Traditional Search Agencies
Rankings vs recommendation systems, keyword optimization vs evidence architecture, static content vs expertise architecture.
- → Real AI Visibility Gaps We Uncovered
Recurring proof series: what AI understood, what it missed, where recommendation failures and abstention occurred — and how we closed the gap.
- → What AI Could Not Answer Before Founder Interviews
How founder-level expertise surfaces the reasoning AI systems abstain on — and how that reshapes recommendation quality.
- → AI Recommendation Confidence Framework
The Seen → Recommended → Chosen framework: how AI trust signals, corroboration, and abstention determine who gets selected.
Get discovered by AI.
Join The Weekly Firehose for weekly AI visibility insights, research, and practical strategies to help your business become the answer AI recommends.