Can ChatGPT actually read your site?
Most sites that rank fine on Google are invisible to answer engines — usually for a boring, fixable reason. LLM SEO Tiger checks the four things that decide whether an AI can find you, understand you, and quote you.
Four checks. No fluff.
01 Crawlability for answer engines
Whether GPTBot, ClaudeBot, PerplexityBot, and OAI-SearchBot can actually reach your pages — and what your robots.txt really says once your CDN has finished editing it.
02 Entity and schema audit
Whether your Organization node exists, resolves, and links your brand to the things you want to be known for.
03 Answerability scoring
Whether your pages state facts an engine can lift and cite, or bury them in copy written to sound impressive.
04 llms.txt and machine surfaces
Whether you publish a machine-readable summary of what you do, and whether it is current.
We built this because we needed it. qualr.com was returning a server error on every page and its own CDN was quietly serving a robots.txt that told every AI crawler to go away. Both were invisible from the inside.
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Enter your work email and the full checklist opens immediately — no waiting on a drip.
About the audit
What is LLM SEO, and how is it different from normal SEO?
Traditional SEO optimises for a ranked list of links. LLM SEO — also called GEO, or generative engine optimisation — optimises for being quoted inside a generated answer. The mechanics differ: answer engines reward pages that state complete, checkable facts in plain HTML, publish structured data that resolves to a real entity, and allow AI crawlers to fetch them at all. A page can rank well on Google and be entirely invisible to ChatGPT.
Why do you ask for an email?
Because the report is generated per domain and we want to be able to send you the results and follow up if something in it needs explaining. One email, no sequence you did not ask for, and you can unsubscribe from anything we send.
Does this work for any site, or only lending?
The checks are general and apply to any site. The commentary is sharper for lending and financial services, because that is where we know what good looks like.