Know which answers matter to your buyers

We build a set of real buyer questions: category recommendations, use cases, alternatives, and product comparisons. I record whether the engine searches, which sources it uses, and whether your brand appears. Repeated checks help distinguish a pattern from a single answer.

Put clear answers on credible pages

Useful pages explain the topic directly, identify who is responsible for the information, and support important claims. I look for missing definitions, unclear service descriptions, thin comparisons, and proof that is hidden in images or hard to find. The writing should help a person make a decision.

Keep technical access and brand information consistent

Important content should be available in the page HTML, connected with descriptive internal links, and supported by accurate structured data. I also review how the brand is described across its own pages and relevant public profiles. Markup must match what visitors can actually see.

Treat visibility as a measured outcome

I distinguish a brand mention, a cited link, a referral visit, and an enquiry. They are different outcomes. The same questions, engines, collection method, and date range should be used when comparing results. This keeps AI visibility reporting useful to the business.

Google says its existing SEO fundamentals apply to AI features in Search. There is no special AI schema or file required for inclusion.

Google Search Central: AI features and your website

What we can include

  • Buyer-question and AI visibility baseline
  • Content and entity clarity review
  • Search crawler and indexability checks
  • Answer-focused content recommendations
  • Repeatable mention, citation, and referral reporting

A good fit

For B2B and SaaS teams that already have real expertise and proof, and want those strengths represented accurately across search and AI answers.