Enterprise SEO and AI Discovery Audit with Evidence-Based FindingsEnterprise SEO and AI Discovery Audit with Evidence-Based Findings
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Your SEO report says "all green."
Your customers ask an AI assistant about your company.
It gets the answer wrong.
Both can be true. Because visibility doesn't break at the end. It breaks 6 layers earlier:
1. Crawl
2.Render
3.Index
4. Entity
5. Retrieval
6. Ai
The symptom shows up at the end. The cause is layers earlier.
So I launched a fixed-scope Enterprise Discovery Audit on Upwork.
Here's exactly what happens:
I test your top 5 page templates across crawl, render, index, canonicals, structured data, redirects and alerts. Every score point needs evidence.
→ I ask three AI assistants your 20 priority customer questions, then record the answers, the dates, and whether the cited sources are correct and working.
→ You get a scored PDF report.
→ You get a prioritized fix backlog, with an owner for every fix (DEV, SEO, CONTENT or DATA) and how to validate it.
→ A 45-minute walkthrough of the findings.
Delivered in 10 days. Read-only access. No passwords, ever.
Built on my Periodic Table of Discovery Failures™: 7 layers, 35 failure points, 70 checks
No promises about rankings. Nobody can honestly make those. What you get is the evidence of where discovery breaks and who has to fix it.
If you run SEO, product or engineering for a site that matters, this is for you.
Link in the first comment. 👇
Which layer do you think breaks first in your stack?
#TechnicalSEO #EnterpriseSEO #AISearch #AEO #SearchEngineering
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Rikunj's avatar
Here's the project on Upwork 👇
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