The consultancy's best clients found it by recommendation. It wanted the people searching for answers, on Google and in AI assistants, to find it too.
The challenge
The website was written for people who already knew the firm. Service pages described what it did in its own terms, not in the words clients used when they searched. Some pages loaded slowly and carried no structured data, so search engines had little to go on. When asked about the firm's area of expertise, AI assistants either named competitors or described the consultancy in ways that were out of date.
What we built
The engagement covered three kinds of visibility:
- SEO. A technical audit of crawling, indexing, speed and internal links, followed by a prioritised fix list that we worked through with the firm's web team.
- AEO. Service pages rewritten around the questions buyers actually ask, each with a direct answer near the top, supported by FAQ and service markup so answer engines can quote it accurately.
- GEO. A consistent description of the firm across its own site and public profiles, organisation markup, and an llms.txt file that tells AI crawlers plainly what the firm does and for whom.
We agreed a list of questions the firm wants to be found for. Each month we check where it ranks for them on Google and how AI assistants answer them, including whether the firm is named and cited.
How we delivered
The work began with an audit and a written plan, agreed before any page changed. Technical fixes came first, then the rewritten service pages, then the structured data and llms.txt. Since then the work has run as a monthly retainer: review the results, agree priorities, make the changes and report in writing.
What changed
The firm's pages now answer the questions its clients ask, in a form search engines and AI assistants can read and quote. It has a clear, monthly record of how it is found and described, and a plan built on that record rather than on guesswork.
