Built as a focused GEO workstream, not a generic SEO add-on.

Every major AI engine operates its own crawler with different directives, rate limits, and content preferences. Most sites treat them all the same: some block content they should serve, others serve content they should protect, and none are guided toward the pages that matter.

LLM crawlability is the access layer between your site and the AI engines that might cite it. It decides what those crawlers are allowed to see, what they are pointed toward, and what stays protected.

Crawlers are not all the same

Each AI engine operates its own crawler with distinct behaviour. GPTBot powers ChatGPT retrieval. Google-Extended controls Gemini and AI Overviews training and retrieval. ClaudeBot serves Anthropic, and PerplexityBot runs its own index. A single robots.txt rule cannot serve all of them well, because their needs and your preferences for each differ.

The deliberate access policy

We design per-crawler policies based on one question: what should this engine retrieve from this site? Priority commercial pages and citations-worthy resources get served and emphasised. Protected content — pricing internals, client data, unpublished work — gets blocked. The result is a policy that earns citations where you want them and seals what you do not.

llms.txt as the signal layer

llms.txt is the emerging index that tells AI engines which pages define your organisation and offerings. We implement it as a maintained file that names your canonical entities: who you are, what you offer, and where the authoritative descriptions live. It is small, factual, and intentionally bounded.

Verification is the difference

We do not declare the policy done and move on. We verify that priority pages are retrievable by the target crawlers and that protected content is absent from their retrieval. That verification loop is what separates a policy from a wish.

LLM crawlability sits alongside Technical GEO (site-wide rendering and extraction) and AI Citation Building (the content layer that earns the citations once crawlers arrive).

From audit to AI visibility improvements

AI crawler inventory

We identify which AI crawlers currently access your site and what they retrieve.

Access policy design

We design per-crawler directives: what to serve, what to restrict, and what to prioritise.

llms.txt implementation

We implement and maintain llms.txt so AI engines are pointed at your authoritative pages.

Crawl verification

We verify that crawlers reach priority content and that protected content stays out.

Deliverables

  • AI crawler access audit (GPTBot, Google-Extended, ClaudeBot, PerplexityBot, others)
  • Per-crawler robots directive policy
  • llms.txt creation and maintenance
  • Priority page crawl verification
  • Protected content verification (no leakage)
  • Crawler behaviour monitoring

Frequently Asked Questions

llms.txt is a proposed standard file that tells AI engines which pages are authoritative for their retrieval — a machine-readable content index designed for LLM crawlers.
That is a business decision. If AI visibility matters to you, selectively serving priority content and blocking protected content gives you control without forfeiting citations. Our default is a deliberate policy, not an all-or-nothing block.
GPTBot (OpenAI), Google-Extended (Google), ClaudeBot (Anthropic), PerplexityBot, and the crawlers behind Microsoft Copilot are the primary ones for most B2B sites. The landscape changes regularly, which is why monitoring matters.

Start with a free GEO audit.

We'll show you where your brand is missing from AI-generated answers and what to fix first.