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.
Every "AI" and "ChatGPT ranking" tool I tested was selling a number nobody can audit. Answer engines do not publish a stable SERP. That is the problem.
AIO.GEO measures what you can prove: structure, schema, JSON-LD, crawl access. Then it ships a dry-run patch and an HMAC receipt.
Try it in 20 seconds (no install):
npx --yes @aio-geo/[email protected] doctor
npx --yes @aio-geo/[email protected] audit yourdomain.com
You get a 5-pillar AI Search Readiness score, not an LLM rank.
Open-core (MIT): @aio-geo/cli, @aio-geo/sdk, @aio-geo/mcp-server, @aio-geo/action
Site: https://www.aiogeoprotocol.com
CLI: https://www.aiogeoprotocol.com/cli
npm: https://www.npmjs.com/package/@a...
We do not sell LLM rankings. Nobody can measure them honestly. We sell structure, accessibility, and receipts to prove it.
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?
Congrats on the launch! I like that you can make the fixes and then rescore to see if they actually worked.
The dry-run and re-score workflow is a nice touch. Being able to see what a change would actually affect before applying it makes the whole audit process much easier to work with. Congrats on the launch!
"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?
Congrats on the launch! Focusing on verifiable technical foundations instead of arbitrary 'LLM ranks' is a refreshing approach to GEO.
How are you handling dynamically generated content or JavaScript-heavy frameworks when auditing the readiness score?
About AIO.GEO Protocol on Product Hunt
“Audit AI search structure. Dry run fixes. Receipts.”
AIO.GEO Protocol launched on Product Hunt on August 13th, 2026 and earned 86 upvotes and 13 comments, placing #22 on the daily leaderboard. 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 was featured in Open Source (68.7k followers), SEO (38k followers), Developer Tools (517.6k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 131.1k products, making this a competitive space to launch in.
Who hunted AIO.GEO Protocol?
AIO.GEO Protocol was hunted by Adrian Swish. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Adrian Swish