AI app launch SEO
AI app launch checker
AI-built apps ship quickly, but the same speed makes public launch mistakes easy: exposed env files, thin metadata, broken previews, missing legal pages, and placeholder copy. Deploylint checks the launch surface before the URL gets posted.
Quick checklist
- + Run the production URL, not localhost or a private preview.
- + Fix every P0 issue before posting publicly.
- + Re-scan after fixes and save the report link.
- + Wire the CI gate before the next launch push.
What Deploylint checks first
The scanner focuses on public launch blockers rather than abstract audit scores. It fetches the live URL, follows redirects, reads crawler surfaces, samples public assets, and turns the findings into a GO, CONDITIONAL, or NO-GO verdict.
- Indexing blockers such as noindex tags or robots.txt disallow rules
- Social preview tags and og:image content-type mistakes
- Public .env, .git, source-map, and JavaScript secret exposure
- Missing privacy, terms, security.txt, sitemap.xml, and llms.txt signals
Why this is different from Lighthouse
Lighthouse is useful for performance and accessibility lab work. Deploylint answers a narrower launch question: what would embarrass or block a small product when someone clicks the URL today?
- Launch verdicts instead of only lab scores
- Fix prompts that can be pasted into Cursor or another coding agent
- Re-scan proof so a builder can show the launch risk went down
Questions
Can Deploylint guarantee Google indexing?
No. It can make the public site crawlable and catch common blockers, but Google still decides when and whether to index a URL.
Should AI-built apps still use Search Console?
Yes. Search Console is still the source for Google indexing state, sitemap processing, and query impressions.
Run the check
Paste your live URL into Deploylint, fix the P0 issues first, then re-scan before you share the product publicly.