Make ChatGPT
recommend your app.
enspire shows you what AI recommends when your buyers ask, and drafts what it takes to get your app in the answer. You approve everything first.
An AI answer names three tools. Is yours one of them?
When someone wants a tool now, they ask ChatGPT and get three names, pulled from Reddit threads, comparison pages and a handful of roundups. We scanned a running app this week: it was recommended in 0 of 6 buyer questions, and a single roundup site appeared as a source in 5 of them. If you’re not in the sources, you’re not in the answer.
The old playbook
used to be fine, because people scrolled. An AI answer has no page two.
The new goal
enspire tracks how often the answer says your name, then drafts what it takes to get in.
Scan your buyers’ questions, then ship what’s missing
Scan your buyers’ questions
Point enspire at your repo. It works out what your product does, asks the questions your buyers type into ChatGPT, with live web search, and scores how often you make the answer.
Ship what AI answers cite
It drafts what the answers quote: comparison and alternatives pages, llms.txt, directory pitches. You approve every one.
Watch your score climb
Weekly rescans track your visibility score, the queries you won, and the competitors you displaced.
Your score, your lost queries, this week’s fixes
One page tells you where you stand: how often you make the answer, which queries you lose, who wins them, and what to ship about it. Test it on one project free.
Built to win AI answers, not blue links
SEO tools optimize for a results page fewer buyers read. enspire optimizes for the answer they actually get.
Real buyer questions
enspire asks full questions the way people type them into ChatGPT, then records which products the answer recommends, in what order, from which sources.
Reads your repo
It learns what your product does from your code and README, so the queries and drafts fit what you built.
Execution, not advice
Comparison pages, llms.txt, directory pitches, written and ready to ship. Not another checklist you close on Friday.
Readable by every AI crawler
Most AI crawlers can’t run JavaScript, and plenty of sites block them in robots.txt without noticing. enspire checks your site against GPTBot, ClaudeBot and the rest, plus llms.txt and your sitemap.
A score you can move
“Recommended in 2 of 8 answers” is a number you can do something about. Weekly rescans show it moving as you ship.
Builder native
Run it from the dashboard or the CLI in your terminal. Built for people who ship with Claude Code, Cursor and Codex.
When a buyer asks AI for the best tool in your category, the answer should say your name.
Nothing ships without your approval
enspire never publishes anywhere on your behalf. Every page, pitch and llms.txt is a draft until you approve it. And the drafts are honest, because assistants cite pages that read like real comparisons, and skip the ones that read like ads.
Start free. Upgrade when the score moves.
Test it on one project free, no credit card. Upgrade when you want weekly rescans or more projects.
- 1 project, free forever
- Monthly visibility scan
- See who wins each query
- Sample action plan
- Everything in Free
- Weekly scans + score history
- Full action plan, drafted
- Comparison pages & llms.txt
Questions
How do you know what ChatGPT recommends?
enspire puts your buyers' questions to AI models with live web search, the same way assistants build real answers, and records which products get named, in what order, and which sources the answer pulled from. Rescans run weekly, so you see exactly which queries you gained or lost.
Is this just SEO with a new name?
They overlap, but the target is different. Classic SEO gets you ranked in a list of links. AI answers name two or three products, pulled from a handful of sources: Reddit threads, comparison pages, roundups, docs. enspire works on getting you into those sources, because being cited is what puts you in the answer.
What do I actually get each week?
A visibility score, the queries you won and lost, who won them instead, and drafted fixes: a comparison page, an llms.txt, a directory pitch. Approve what is good, skip what is not.
My app is tiny. Can it really get recommended?
Long tail questions are where small apps win. You will not beat Notion on “best notes app”, but “notes app that works offline with markdown and no login” has an answer slot nobody owns yet. enspire finds those queries for your product.
How do I get indexed by ChatGPT and the other AI models?
Three layers. Live answers come from search indexes: Bing feeds ChatGPT, Google feeds AI Overviews, and Perplexity crawls its own, so your site has to be crawlable and submitted there. Model training draws on crawlers like GPTBot, ClaudeBot and CCBot, which many sites block in robots.txt by accident. And assistants read llms.txt to understand what your product is. enspire audits all three for your domain and generates the fixes.
What are llms.txt and comparison pages for?
They are the assets AI answers cite. llms.txt describes your product to crawlers and assistants in a machine readable way; honest “X vs Y” and “alternatives to X” pages are what answers quote when a buyer asks to compare. enspire drafts both from your repo.
Find out what AI says when buyers ask.
Run your first scan free. Your score, your lost queries and this week’s fixes, in a few minutes.