How to get your Lovable app recommended by ChatGPT

ChatGPT recommends apps it can read and that others mention. For a Lovable app: publish it publicly on a custom domain, check the rendering, run Lovable's SEO and AI search review, write pages that answer buyers' questions, and track what ChatGPT says.

Short answer: ChatGPT can only recommend a Lovable app it can read and has reasons to trust. Publish the app publicly on a custom domain, make sure crawlers get rendered HTML (apps created from May 13, 2026 on TanStack Start do; older Vite apps can be upgraded), run the SEO and AI search review under More, Analytics, write a page for each use case in plain words, allow OpenAI's search crawler in robots.txt, and earn mentions on sites buyers already read. Then ask ChatGPT your buyers' questions every month and track the answers.

Step 1: publish publicly on your own domain

Lovable's docs say only publicly published apps can appear in search, and that branded workspace URLs and unpublished projects do not. Connect a custom domain (a paid Lovable plan is needed for that) so the trust you build stays with a domain you own.

Step 2: check what crawlers receive

Per Lovable's docs, apps created from May 13, 2026 (June 22, 2026 on Enterprise) use TanStack Start with server-side rendering, and "new TanStack Start apps return fully rendered HTML to AI crawlers". Older React and Vite apps are pre-rendered on request, but only for verified crawlers. If your app is older, Lovable offers an in-place upgrade to TanStack Start; it uses credits, so plan it.

To check, open your live page and choose View page source. If you see your headline and text in the HTML, readers that do not run JavaScript can see it too.

Step 3: run the SEO and AI search review

Open More, Analytics, then the SEO and AI tab. Lovable's review checks titles, descriptions, canonical URLs, robots.txt, the sitemap and Open Graph tags, and can fix most findings. Run it again after connecting your domain so Lovable can verify the domain in Google Search Console.

Step 4: write pages an assistant can quote

Assistants answer questions like "simple invoicing app for freelancers that works in Hebrew". Your app's public pages need to answer them in text:

A home page whose first paragraph says what the app does, for whom, and what it costs.
A page for each main use case or audience, with its own title and description.
A pricing page in text, not only inside the app.
An FAQ with short, direct answers.
Your headline as real text, not part of an image.

Step 5: allow the right crawlers

Lovable creates a robots.txt for every project. Open yourdomain.com/robots.txt and check that it does not block OAI-SearchBot. OpenAI's docs say sites that block it are not shown in ChatGPT search answers. GPTBot is for training and can be blocked separately if you prefer.

Step 6: get mentioned

Assistants weigh what other sites say. List the app in directories for your category, post it where your buyers ask for tools, write a launch post, and ask early users for public reviews. Look at which sites ChatGPT cites when it answers your questions; those are the places to be.

How do I track it?

Write five to ten buyer questions. Ask each in ChatGPT with search on, in a fresh chat, a few times. Note whether you are named, whether the description is right, and who is cited instead. Repeat monthly. The full launch list is in the Lovable post-launch checklist.

Where Persqo helps

You can do every step above in Lovable. Persqo saves the guesswork:

Paste the Persqo prompt into Lovable and your app gets a Persqo admin page. An AI visitor tests the live app and each finding comes with a fix prompt; Open in Lovable puts it in your project's chat and you press send.
One click: the Persqo fix runtime the prompt adds to your Vite build applies the home page title and description, business and FAQ schema, the viewport tag and llms.txt, each with Undo, live the next time you publish.
Lovable syncs with GitHub both ways. Connect the same repository and Persqo opens a pull request for file fixes such as llms.txt and robots.txt. You merge it; Persqo never merges.
A Persqo GEO scan asks ChatGPT and other engines your buyers' questions and shows how often each one mentions you. The first scan is a one-time $5.

Sources

Optimize your app for SEO and AI search, Lovable docs, checked November 6, 2026
Upgrade a project to TanStack Start, Lovable docs, checked November 6, 2026
Overview of OpenAI crawlers, OpenAI docs, checked November 6, 2026

Last updated: November 6, 2026.

Questions people ask

Can ChatGPT read a Lovable app?

Lovable's docs say it serves crawlable content to AI search engines. Apps created from May 13, 2026 use TanStack Start and return fully rendered HTML. Older React and Vite apps are pre-rendered only for verified crawlers, so upgrading gives every reader the full page.

Do I need llms.txt for a Lovable app?

Lovable's docs say it does not require llms.txt and its review does not flag a missing file. It is a cheap extra; clear pages and a crawlable app matter more.

Why does ChatGPT recommend my competitors and not me?

Usually because their pages state plainly what they do and for whom, and other sites mention them. Look at the sources ChatGPT cites in its answer, then get listed where they are and write pages that answer the same questions.