All public pages
Homepage, service pages, about, contact, and a dormant blog were each read for clarity, proof, and buyer language.
Illustrative example — this is a composed sample, not a real client.
This is a privacy-safe sample of the review a business receives. Details are generalized, but the structure, depth, and language match a real deliverable: scope, executive summary, findings, risks, and a recommended path forward.
Homepage, service pages, about, contact, and a dormant blog were each read for clarity, proof, and buyer language.
Titles, descriptions, canonical URLs, sitemap coverage, and structured data were checked page by page.
How the firm is summarized when AI-assisted search tools are asked the practical questions its buyers actually ask.
It opens with category language a visitor could find on any competitor site. A first-time reader cannot tell quickly what the firm does, for whom, or why it is credible.
Three strong case outcomes live inside a downloadable PDF. Search engines and AI answer systems cannot cite them, so the firm's best evidence is invisible at decision time.
Pricing expectations, timeline, and process each surfaced as repeated prospect questions, and none has a page. Those searches tend to resolve to competitors instead.
Half the page titles describe services the firm no longer offers, and the sitemap omits two of the pages that convert best. Systems retrieving the site get a stale picture.
Referred prospects check the site before calling. A vague site converts warm referrals into lukewarm first calls.
When buyers ask answer engines for recommendations, we expect firms with clear, retrievable pages to be the ones cited. In this example, the firm has little for those systems to quote.
Stale metadata and buried proof compound. The longer retrieval systems hold the wrong picture, the more work it takes to correct it.
Lead with what the firm does, for whom, and the single strongest proof point. One focused pass, not a redesign.
Convert the PDF case outcomes into three plain-language pages that people and retrieval systems can actually cite.
Pricing expectations, timeline, and process each get a direct page, then metadata and the sitemap get corrected in one sweep.