📘 This use case demonstrates carrying a crawl issue from diagnosis to ticket to pull request with a coding-capable AI tool, with a person reviewing before anything ships.
Best for: Technical SEO and engineering teams · Uses: crawl data plus your Jira and GitHub, via an AI coding tool
Overview
When Botify flags a technical issue, getting from that finding to a live fix usually means a manual chain: ticket, development, pull request, review, deploy. Botify MCP, connected to a coding-capable AI tool, can carry a diagnosed issue through most of that chain on its own.
Prerequisites
Botify MCP connected to an AI coding tool with access to the relevant codebase (e.g., one that can also reach your Jira and GitHub). See Connecting to the Botify MCP for setup steps.
Access to the Botify project where the issue was flagged.
Description of the problem
When Botify flags crawl-budget waste caused by duplicated URLs, routing that finding through a manual ticket-to-deploy process means several handoffs between teams before anything changes on the site.
Application
Ask your AI tool to pull the full crawl profile for the affected URLs.
Let it diagnose the issue and propose a fix (e.g., blocking the duplicate paths through the robots.txt file).
Why this approach works:Pulling the full crawl profile before diagnosing is what lets the tool propose a specific fix instead of a generic recommendation.
Filing the ticket and opening the pull request in the same pass keeps the paper trail attached to the diagnosis that produced it, rather than reconstructed after the fact.
Have it file the ticket and open the pull request for the fix.
Review and merge the change.
Follow-up prompts
"Show me every other URL pattern with the same duplication issue." — checks whether the fix should be broader than the original flag.
"Summarize what changed for the PR description." — saves writing the PR summary by hand once the fix is in place.
Make it repeatable
Once a fix pattern works (e.g., blocking duplicate paths via robots.txt), reuse the same diagnose-fix-ticket-PR sequence the next time Botify flags a similar issue, instead of starting the chain from scratch.
Result
What used to move manually from issue to ticket to development to deployment now runs largely on its own, end to end, with a person still reviewing before anything ships.
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