Blog

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A practical audit for finding outdated descriptions, missing use cases and unsupported claims in AI-generated company summaries.

How answer engines are changing discovery — and what marketing teams should measure now.

Traditional SEO playbooks weren't built for zero-click AI answers. Here's what to add.

Commercial, comparison and alternatives — building a prompt set that reflects real demand.

Which domains shape AI answers about your brand — and how to influence them.

llms.txt, schema, robots and metadata — technical basics for AEO.

Use public report links for leadership updates and client delivery.

A practical playbook for monitoring when ChatGPT and other answer engines mention your brand, competitors and products.

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.