Free LLM Visibility Audit Checklist for B2B Brands

Quick Answer

An LLM visibility audit checks whether AI systems can access, parse, and trust the facts on your website. Start with robots.txt, llm.txt, schema, canonical URLs, service pages, case studies, leadership proof, and concise summaries.

Why LLM Visibility Is Different

Traditional SEO focuses heavily on ranking pages in search results. LLM visibility focuses on whether AI systems can summarize your brand accurately and cite the right source pages when buyers ask questions.

Checklist

Run the Audit

Use Qognition's [Free LLM Audit](/free-llm-audit) to check the technical discovery layer, then use the report to build missing source-of-truth pages.

Frequently Asked Questions

Should we allow AI bots?

If the goal is AI discovery, allow search and AI input while opting out of training where possible.

What if our claims are inconsistent?

Fix them first. LLMs struggle when service pages, about pages, case studies, and schema describe the company differently.

Does Qognition build llm.txt?

Yes. We build llm.txt, entity summaries, schema, and AI-ready content paths.