ExcelWhiz
A revenue blog with no organic traffic from Google.
Buyers ask AI first. We test the questions that matter in your market, then fix what keeps you out of the answer.
Free · No call required
Ranking, being quoted and being recommended are three different problems, and we run a separate workstream for each. Most agencies sell one and describe it as the other two.
We run one programme across the three disciplines, measured against the buyer prompts that matter to your business.
We fix the technical foundations, page structure and local search, so your pages can rank and be retrieved.
We build answer-first content and schema, so an engine can lift your page as the answer.
We build the entity and citation work, so ChatGPT, Perplexity and Gemini name you when buyers ask who to use.
We fix crawlability, structured data and llms.txt, so the systems behind AI answers can read your site.
We run a fixed-scope review of how AI assistants describe you today, and tell you what to fix first.
We run a free audit on the buyer questions in your market across the major AI assistants, and report where you appear, who appears instead, and what to fix first.
Plus the questions you want to be found for, if you already know them.
The buyer questions are tested across the AI assistants people actually use.
Where you appear, who appears instead, and what to fix first.
A revenue blog with no organic traffic from Google.
No direct online presence. Leads arrived through third-party marketplaces, with no brand equity and no repeat-customer pipeline.
We measured the ExcelWhiz figures, and the window is attached. We show the example programme by sector, with rounded figures, as a shape rather than a published client result.
We run the buyer prompts for your market, record who gets named, and trace the sources the answers come from.
We fix crawlability, structured data, entity clarity and internal links, so the pages you want quoted can be reached and parsed.
We write content and schema around the questions buyers ask, so an assistant can lift a clean answer.
We do the entity and citation work, re-run the same prompt set each month, and report the change in visibility.
AI search visibility is how often an assistant such as ChatGPT, Perplexity, Gemini or Google AI Overviews names your business when a buyer asks a question in your market. It builds on SEO, because those systems still retrieve from a crawled web, and it adds answer structure, entity clarity and the off-site citations that decide who gets named. We measure it against a fixed set of buyer prompts, so the starting point and every change after it are visible.
No, and nobody can. Answers vary by model, query, location and session, so a single check proves nothing. What we do is improve the signals those systems rely on, then re-run the same prompt set before and after, so the change is visible.
We fix a set of buyer prompts for your market, record where you appear and who appears instead, and repeat the same test on a schedule. Each report shows your mention rate, the sources the answers cite, and the movement since the last run.
Technical and on-page fixes usually show up in citation checks within a few weeks. Entity and citation work compounds over months, because it depends on third-party sources updating. We measure against the same fixed prompt set throughout, so the direction is visible early even when the full effect takes longer.
We test 20 to 30 commercial prompts across the major AI assistants and report where you appear, who appears instead, which sources the answers cite, and what to fix first. We need your website, your industry and two or three questions you want to be found for, and we can derive the questions for you if you do not have them yet.
Request the free AI search visibility audit to find out. The findings come back in writing, and no call is required.