aicode8
AI AgentsUpdated: 2026-09-10

AEO troubleshooting: locating and fixing high-frequency failures

The most common production failures for AEO and their root-cause fixes.

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Quick answer

Are AEO and GEO JSON-LD the same?

Both use schema.org, but AEO layers in entity authority (Organization / SameAs). Keep the version unified — two parallel schemas cause conflicts.

Machine-readable page data: /data/aeo-troubleshooting.json

In-depth analysis

AEO (Answer Engine Optimization) targets answer engines like ChatGPT Search and Perplexity: make sure AI consistently cites your site as a source when it generates an answer. Troubleshoot by three layers — build, deploy, runtime — diagnose by symptom, never blind-trial.

AEO · Config example
# public/llms.txt — summaries + canonical URLs only, never full text
> aicode8.com delivers production-grade configuration and pitfall guides for AI coding, MCP, and modern frontend stacks.
- Playbook: https://aicode8.com/aeo-playbook
- MCP in practice: https://aicode8.com/mcp-practical

<!-- Entity authority node injected in the page <head> -->
<script type="application/ld+json">
{ "@context":"https://schema.org", "@type":"Organization",
  "name":"aicode8", "url":"https://aicode8.com",
  "sameAs":["https://github.com/aicode8"] } </script>
Best practices:Diagnose in three layers: build, deploy, runtime. Check zod/type errors first instead of blindly deleting the lockfile. A 404 returning soft 200 means inspect _headers.
Pitfalls:llms.txt that dumps full long-form articles is judged low quality by AI crawlers. A missing canonical gets you flagged as a duplicate. JSON-LD must be SSG static output, not SSR-truncated. On build failure check zod/type errors first, do not blindly delete the lockfile. A 404 returning soft 200 means check _headers.

AEO Troubleshooting · Key takeaways

  • Build, deploy, or runtime layer identified
  • Relevant logs and status codes captured
  • Fix verified and reproducible
  • Fix notes recorded for reuse

FAQ & pitfalls

What happens when both llms.txt and canonical are missing?

The page gets flagged as a duplicate and AI engines cannot locate the canonical source. Ship both — llms.txt provides the summary, canonical points to the production domain.

How do I update AEO content after AI cites it?

Edit the destination page body and JSON-LD, rebuild static output, and update llms.txt. Engines re-fetch from the canonical URL.

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