New AI tools keep entering your category, and most describe themselves the same way. Search rewards the one that says what it does. We build comparison, use-case and category pages, docs that rank for developer queries and pages AI engines can cite. Traffic compounds and is reported on paying users and MRR, not signups. Free SEO audit first: the 20 keywords you are losing.
Devs don't click ads. They search, read the docs and ask a model what to use.
Free SEO audit: the 20 keywords your AI product is losing and who holds them, in 48 hours.
Each page type below answers a query a buyer or a developer actually types, and each is reported on paying users from search, not visits.
Pick your niche, then swipe or tap the card - see how the brain reads the same AI offer.
If you don't hook fast, the budget's already gone. That's why templates fail.
One team owns the whole funnel - from the first cognitive-trigger creative to the last dashboard.
Tap a case - we'll show the details. Figures are from live campaigns; brand names withheld under NDA.
Most AI tools describe themselves in the same words: AI-powered, agentic, all-in-one. In a search result that copy disappears, and the result that gets the click names the job the product does, the buyer it is for and the data it works on, in the title and the first line. That is positioning, and for an AI product it is the first SEO fix, before any keyword list or link.
Then the category decision. Most AI products should enter a category buyers already search, such as '[industry] AI software' or 'AI [task] tool', and win it with category, comparison and alternatives pages. Category creation fits only when nobody searches for what you do yet, and then content and PR have to build the demand first. Either way, comparison queries sit closest to a paid plan, so those pages come first.
Scale comes from use-case and integration pages: one page per task, role, industry and tool you connect to, each answering a query a real buyer types. An AI agent that handles refunds needs a page for the support lead who searches for exactly that job. For developer tools and APIs, the docs are the main surface. Quickstarts, SDK guides and API references rank for developer queries and error messages, and technical content reaches engineers who never click an ad.
Off the site, AI tool directories and marketplaces need the same name, category and one-line description everywhere, and mentions in developer communities and comparison content are earned with material worth citing. The same pages give AI engines something specific to cite. All of it is reported against paying users and MRR from search, not traffic or signups. The free SEO audit is where it starts: the 20 keywords your product should hold, who holds them now, and the order of the fixes.
The 20 keywords you are losing, the comparison and use-case pages you lack, how your docs index, and the first fixes in order. Yours to keep, whether we work together or not.
Send the product, the docs URL and the category. The audit arrives within 48 hours.