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If an AI shortlist names competitors but skips your company, diagnose the public evidence behind the answer before rewriting pages at random.

A practical audit for finding outdated descriptions, missing use cases and unsupported claims in AI-generated company summaries.

We classified every source ChatGPT and Gemini cited in 80 live SaaS recommendation answers. Discovery prompts lean on vendor websites; trust prompts lean on review platforms.

How answer engines are changing discovery, what to measure beyond brand mentions, and how marketing teams can set an AI visibility baseline in 2026.

SEO playbooks weren't built for zero-click AI answers. How AEO differs in goals, content formats and prompt research, and how to run both as one program.

Commercial, comparison and alternatives prompts: the four intent clusters to cover, how many prompts to track and how to validate them before you scale.

Which domains shape AI answers about your brand, how to read the citation report, and how to influence cited sources with a quarterly plan.

llms.txt, schema, robots and metadata: a technical checklist for answer engines, and why passing a classic SEO audit is not enough for AEO.

Use public report links for leadership updates and client delivery: access control, a report narrative that resonates, and a follow-up cadence.

How to track ChatGPT brand mentions: what to record per answer, a buyer prompt library, manual and scheduled prompt tracking, citations and share of voice.

How to evaluate AI visibility platforms — features, models, audits and reporting — before you commit budget.

How to publish llms.txt and llms-full.txt so answer engines and AI crawlers can find authoritative product information.

Beyond mention counts: visibility score, share of voice, sentiment and citation quality for answer-engine programs.