AI search
visibility.
For founders and marketing leads who want their company to show up when a buyer asks an answer engine who to hire. The work is the pages, the proof, and a description of the offer that stays the same everywhere.
Answer engines recommend companies they can describe cleanly. If your site says three different things about what you do, the model has nothing stable to repeat, and the buyer gets a competitor who was easier to summarize.
This is separate from AI marketing consulting, which decides where a model is allowed inside your own team's work. AI search visibility is about being findable by those systems. The free starting point is the algorithmic attention audit. The consulting engagement is what you change after the score.
Who this is for
B2B software, IT services, and other firms whose buyers now ask a model for a shortlist before they ask a colleague. You are a fit if the homepage, the service pages, and the LinkedIn description could belong to any agency, or if you have strong delivery and almost nothing a machine can quote.
What the work covers
The offer, stated once. Who it is for, what it includes, and what a buyer should do next. That paragraph is the one the rest of the site has to agree with.
Pages a model can lift from. A page per real offer, with the scope, the proof, and the questions buyers actually ask. Thin pages that repeat the homepage do not help.
Proof in a form that can be cited. Named industries, constraints, and outcomes your team will stand behind. A logo wall with no story gives an answer engine nothing to say.
The entities. The company, the offers, and the people, described consistently on the site and in the profiles you already publish. Contradictions are what get dropped.
A check against live answers. We ask the questions your buyers ask, read what comes back, and change the pages that are missing or muddled. Marketing operations matters here only when the tracking and the CRM cannot tell you whether those visits became conversations.
How an engagement runs
- Understand. The audit score, the current pages, and the questions a buyer would type.
- Strategize. The offer statement, the pages that have to exist, and the proof you are willing to publish.
- Execute. Those pages and the corrections, written so sales would say the same thing on a call.
- Review. After a cycle, we run the buyer questions again and keep the pages that started to appear.
Be the source an answer can cite.
One offer, proof a model can quote, and the same description on every page that matters.