Launching today
AIO.GEO Protocol
Audit AI search structure. Dry run fixes. Receipts.
29 followers
Audit AI search structure. Dry run fixes. Receipts.
29 followers
AI Search Readiness: measure structure, ship dry-run fix packs, rescore, seal with HMAC receipts. SEO tests if humans can find you on Google. AIO.GEO tests if AI agents can do business with you.
AIO.GEO Protocol
"Receipts" is the part that jumps out most GEO/AEO advice right now is still guesswork dressed up as best practice, because there's no clean feedback loop like there is with traditional SEO. You can rank #1 in Google and still have no idea whether an AI answer engine ever surfaces your page, or why.
Ran into this firsthand recently pulled the new GSC Generative AI performance report expecting a real signal, and the data was messy enough (heavily skewed toward my own testing traffic, hard to separate from real exposure) that I couldn't actually trust it yet. So genuinely curious how you're defining a "fix" here is it structural stuff (schema, headings, answer-formatted content), or are you also weighing in on the actual writing/content clarity side, since a lot of AI-answer visibility seems to come down to how directly a page answers the implied question, not just how it's marked up?
AIO.GEO Protocol
@farrukh_ahmed8877 Spot on, Farrukh! The GSC Generative AI noise is exactly why everyone is throwing darts in the dark right now.
To answer your question: the "fix" covers both, but we separate them cleanly into two axes:
Cognitive (Readability & Content Clarity): Auditing how directly your content answers implied questions, structural schema, and RAG-readability so LLMs can parse and cite you without hallucinating.
Kinetic (Actionability & Code): Going beyond text to generate actual execution assets (llms.txt, api-catalog, MCP cards, auth.md) so AI agents can actually do business on your site (call APIs, auth, perform tasks), not just read it.
You get an exact diagnosis of what's blocking AI, the dry-run files to fix it on the spot, and a rescore to verify the improvement. Receipts over guesswork!
@adrian_swish The cognitive/kinetic split is a useful distinction most people treat "AI visibility" as one blob. On the cognitive side is the fix usually structural (reordering, Q&A framing), or does the actual prose need to change at the sentence level too?
AIO.GEO Protocol
@farrukh_ahmed8877 Structure ensures the AI search engine finds and retrieves your page's chunk. Prose clarity ensures the LLM understands and cites your facts accurately without hallucinating or making up numbers.
The GSC Generative AI report noise Farrukh mentioned matches what I have seen too. I track AI Overview and AI Mode visibility across three real sites through Search Console, and the number has read zero clicks and zero impressions on all three for weeks, while normal organic and backlinks kept moving in that same window. The receipts idea is the right instinct because right now there is no way to tell whether that zero is a real absence or just Search Console not attributing the traffic correctly. Does the rescore step give a before and after diff on the specific schema fields that changed, or just a new aggregate score?
AIO.GEO Protocol
@abdullah_javaid3 Exactly why we built the rescore this way, GSC's zero-click reporting lag makes it impossible to know if you're invisible or if the attribution is just broken.
The rescore step doesn't just hand you a higher number. It gives you an exact before-and-after diff:
File & Field Diffs: Line by line code diffs of the exact structural files created/edited (llms.txt, RFC 9727 API catalog, MCP server cards, and schema/heading adjustments).
Pillar Delta: A breakdown showing which specific kinetic pillars flipped (e.g., Markdown-only at 25 vs. Full Protocol at 100).
Refusal Clearance: Verification that the specific agent blocking condition ("Cannot parse docs / no auth path") was removed.
You see the exact delta in code, score, and projected revenue leakage before anything touches production.
AIO.GEO Protocol
@hannesh thank you
AIO.GEO Protocol
@etiennegarcia Thank you Etienne !
Voquill
Congrats on the launch! I like that you can make the fixes and then rescore to see if they actually worked.
AIO.GEO Protocol
@henry_habib thank you Henry!