Your next customer is asking ChatGPT, Claude, or Perplexity who to buy from. AI search ranking is the work of getting those tools to name you: content structured for models, the citations they trust, and a monthly report that shows whether it is working.
Before touching anything we capture how every major AI tool answers the questions that matter in your category, who they name, who they cite, and where you stand.
Your site restructured so models parse it cleanly: clear entity definitions, answerable pages, comparison content that states plainly what you do and for whom.
AI answers lean on third-party sources. We earn mentions in the listings, reviews, and publications each model cites in your category.
Ongoing tracking of your share of AI answers across tools, reported monthly against the baseline. Visible movement usually lands within one to three months.
Day one captures the baseline on record. The first month restructures your content; citations build from week two and never stop. Every month you see your answer share against where you started.
What each AI tool answers about your category today, on record.
Your visibility in AI answers versus the baseline, tool by tool.
Restructured pages shipped to your site, and the mentions earned that month.
They overlap. AI tools read structure and lean on third-party citations more than on link volume, so the work is different even where it helps classic SEO too. What you are competing for is also different: a place inside the answer rather than a position on a results page. The industry names for it are answer engine optimization (AEO) and generative engine optimization (GEO).
No one can. The models belong to their makers. What we commit to is the work and the measurement: a baseline on day one, the content and citations that move it, and a monthly report showing where you stand.
Usually within one to three months. It is slower than ads, which is why we measure from a baseline instead of promising a date.