Give your Lovable project an Advantage.
You shipped — but when your users ask ChatGPT, Claude, Perplexity or Gemini for an app like yours, it names someone else. Advantage scans what AI sees, shows who it recommends instead of you, and hands you the fixes — as prompts you paste straight back into Lovable.
Shipping was the easy part.
These are the unfair bits.
Advantage is a set of engines that win your app users. All three run for real — paste a URL into any of them.
Get Found
● liveAI engines read, cite and recommend your app. Scan it, see who ChatGPT sends your users to, fix it with paste-back prompts.
Score your app →Convert
● liveTurn the visitors you win into users. We score your value prop, CTA, friction and run a 5-second first-impression test — then hand you the fixes.
Check conversion →Ship Verified
● liveAn independent check users and AI assistants can see. We look for leaked secrets, an exposed .env, missing headers — and issue a Checked by Advantage badge.
Run a safety check →You shipped it in a weekend.
ChatGPT has never heard of it.
When someone asks an AI assistant for “an app that does X”, the answer comes from what AI can actually read: facts, structure, machine-readable signals. A beautiful app with none of those doesn't get named — an uglier one that explains itself does.
Shipped, but silent
- Looks great to humans, reads like an empty JS shell to AI
- No machine-readable facts about what it does
- No llms.txt, no schema — AI has to guess (it won't)
- Users asking ChatGPT get sent to someone else
Legible to every AI engine
- Your app explains itself in the language AI reads
- llms.txt + JSON-LD + clean structure, generated for you
- Fixes arrive as prompts you paste into Lovable
- Re-scan after every ship and watch the score move
Scan. Fix. Stay found.
Scan
Paste your app's URL. We read it the way AI engines do — and find what they can't see.
Fix
Every gap becomes a fix: a prompt for Lovable, a snippet, or a file — written from your app's own content.
Stay found
One pasted snippet auto-applies the injectable fixes — and you re-scan free after every ship.
How AI-ready is your app — really?
This runs for real. We fetch your app, score the 9 signals AI engines rely on, detect what you built it with, ask a GPT-class model what it tells your users — and compare you against the other apps we've measured. No signup.
Your app is free. Your portfolio is paid.
Re-scanning your app is always free — that's how the habit forms. Pay for more apps, history, and auto-apply. Hard caps, never surprise overage.
Free
Your app, scanned and re-scanned. Ship, tweak, re-scan — the loop stays free.
- 1 app · 25 scans / month
- 9-signal AI-readability score
- Fixes as Lovable prompts
- Generated llms.txt
- 3 buyer questions answered live
Starter
Every buyer question answered, every fix auto-applied by the embed.
- 3 apps · 30 scans / month
- All buyer questions answered
- Embed auto-apply
- Scan history per app
- Email support
Pro
Keep your place in the answers as the models retrain.
- 10 apps · 300 scans / month
- Everything in Starter
- Priority scanning
- Re-scan on demand
Agency
Roll “become the answer” out across a client portfolio.
- Unlimited apps
- 5,000 scans / month
- Team seats (soon)
- API access (soon)
The questions your users type into ChatGPT.
These are the exact queries people ask AI assistants before they pick an app. Make sure the answer names yours.
How do I get my Lovable app found by ChatGPT?
Run getAdvantage's free Get Found scan. It fetches your app and measures the 9 signals AI engines actually read — title, meta description, JSON-LD structured data, headings, /llms.txt, content-to-markup ratio, Open Graph, canonical, and whether AI crawlers are allowed in robots.txt — then hands you each fix as a prompt you paste straight back into Lovable. Adding machine-readable facts (JSON-LD), a curated /llms.txt and clean structure is what makes ChatGPT able to read, cite and recommend you instead of someone else.
How do I get AI assistants to recommend my app?
AI assistants recommend what they can read and verify. Make your app legible to them: publish machine-readable facts as schema.org JSON-LD, serve a curated /llms.txt, keep a clean heading structure, and allow GPTBot, ClaudeBot and PerplexityBot in robots.txt. getAdvantage scores all of this, shows which competitors an AI names instead of you today, and generates the exact artifacts to fix it — as prompts for your builder.
Is my vibe-coded app safe?
Run getAdvantage's Ship Verified check. It looks for leaked secrets, an exposed .env file and missing security headers, then issues a “Checked by Advantage” badge that users and AI assistants can see. It reports observable findings at the time of the scan — it is an independent check, not a guarantee.
Why isn't my app showing up when people ask ChatGPT for one like it?
Almost always because AI engines can't read it. A Lovable, Bolt, v0 or Replit app usually ships as a JavaScript shell with little server-rendered text, no JSON-LD facts, no /llms.txtand no clean heading outline — so when a model is asked “what's a good app for X?”, it has nothing about you to extract and names a competitor that explains itself. A beautiful app with none of those signals is invisible to AI; an uglier one that's legible gets the mention. getAdvantage shows you exactly which signals are missing and hands you the fix for each.
What is an llms.txt file and does my app need one?
/llms.txtis an emerging standard — a single Markdown file at the root of your site that gives AI crawlers a clean, curated map of what you are and which pages matter. It's the AI-era equivalent of a sitemap written for a reader, not a parser. Most vibe-coded apps don't have one yet, which makes publishing one an early-mover edge. getAdvantage generates a starter llms.txtfrom your app's own content on every scan — you paste it back into your builder and serve it at yourdomain.com/llms.txt. (We publish our own at getadvantage.app/llms.txt.)
Do I have to edit code to fix my AI-readability score?
No. Every fix getAdvantage finds comes back as a prompt you paste straight into Lovable, Bolt, v0 or Replit — your builder writes the JSON-LD, meta tags, headings and FAQ schema for you. The two file-based fixes (llms.txt and robots.txt) are real files a browser script can't create, so we hand you the exact contents and the path to drop them at. On a paid plan, one pasted snippet auto-applies the DOM-injectable fixes and keeps re-applying them as you re-ship — and you can re-scan free after every change to watch the score move.
Give your app its Advantage.
Free scan, real score, fixes you can paste straight into Lovable — in under a minute.