AI visibility for consultants and advisory firms is whether an assistant names you when someone asks a question like “consultancy specialising in <domain> for <industry>”. It is decided by whether the engine can read your site and whether you are in the pages it retrieves — both are checkable, and the first is fixable from inside the site.
Four shapes of question decide AI visibility in consultants and advisory firms: best-for, alternatives-to, cheapest, and for-a-situation. The lines below are the kind an assistant hears every day; replace the brackets with your market.
An assistant answering those questions retrieves pages and names the companies in them. For consultants and advisory firms the pages it retrieves are usually:
A site that is not in those sources is not in the answer, however well it reads. A site that cannot be read is not in them either — and that part is checkable.
Consultants and advisory firms sites are most often built on WordPress, Webflow, Next.js. The checks they fail most are the ones that come with that:
What the agent does here: runs the 23 checks on your pages, switches on the fixes it can apply from inside the site — AI crawlers allowed in robots.txt, Organization schema in every page, a sitemap, /llms.txt — writes the answer-first opening and the search description for your approval, and counts every AI visit page by page so you see which questions already bring an engine to you.
Questions of four shapes: best-for, alternatives-to, cheapest and for-a-situation. For consultants and advisory firms that means lines like “consultancy specialising in
Industry analyst lists and award pages; LinkedIn — the firm and its partners; case studies and white papers on the firm's site; conference speaker pages. Being in those sources matters as much as the site itself.
sections are self-contained — insight articles whose sections only make sense with the paragraph above — retrieved alone, they say nothing. headings, dates and authorship are present — white papers without an author or a date. brand has a wikidata record and a wikipedia article — no entity record — the firm is confused with a namesake.
Give every insight piece a named author, a date and sections that stand alone. Create the Wikidata item with the official website and link it with sameAs. Open each service page with the problem it solves and for whom, in one sentence.
The free page check runs the 23 checks on your public pages — the ones above, measured on yours.