Why Meta AI Matters for Developer Relations
Developers ask Meta AI how to do things before they open your docs, and it answers from Meta AI search, which Meta-WebIndexer crawls for. If your documentation is not reachable or not quotable, Meta AI explains a competitor's API instead. For DevRel, that makes docs access and structure part of adoption, not just support.
The Meta AI Mistake to Avoid
Confusing Meta-ExternalAgent with Meta-WebIndexer. Meta-ExternalAgent only collects training data, while Meta-WebIndexer decides whether pages can appear in Meta AI answers. Blocking the wrong one either removes you from answers or leaves training access open when you meant to close it.
Action Items for Developer Relations
Apply the same rule to your docs subdomain: Allow Meta-WebIndexer in robots.txt
Ask Meta AI how to do your top five tasks and check the code it returns
Give each task page a short, correct code example near the top
Keep versioned docs clear about which version is current
Report recurring wrong answers from Meta AI to the docs team
What Developer Relations Should Track in Meta AI
Accuracy of Meta AI's answers for your top tasks
Docs pages Meta AI cites or quotes
Outdated API versions Meta AI still suggests
Developer sign-ups referred from Meta AI
Frequently Asked Questions
How can DevRel get Meta AI to reference our docs?
Make the docs reachable (allow Meta-WebIndexer and Meta-ExternalFetcher, including on a docs subdomain), then make each task page answer one task with a correct example near the top. Meta AI can only quote what it can fetch and parse.
Why does Meta AI suggest an old version of our API?
Older docs, blog posts or forum answers are still public and compete with current pages. Label the current version clearly, redirect or mark retired pages, and put the current example first.
Start Optimizing Meta AI Today
Get expert help optimizing Meta AI and building a comprehensive AI visibility strategy for Developer Relations.