Deterministic readiness scoring
Generates a 0–100 AI Search Readiness score across five stated pillars: technical AI-bot access, answer-first structure, schema completeness, authority and citations, and presentation quality.
AIO.GEO
Freemium
AIO.GEO audits whether AI crawlers and generative answer engines can access, parse, understand, and cite a public website. It helps developers, agencies, content teams, and governance teams identify structural issues, apply dry-run fixes, rescore changes, and produce verifiable receipts.
What is AIO.GEO?
AIO.GEO is an AI Search Readiness auditing and remediation platform for public websites. It measures whether generative answer engines can crawl, parse, extract, and trust site content using a deterministic 0–100 assessment rather than claimed LLM rankings.
The assessment covers five weighted areas: AI-bot technical access, answer-first content structure, schema markup completeness, authority anchors and citations, and presentation quality including semantic HTML and alt text. The product is intended to show what machine readers can access and understand, then provide a path for fixing and verifying those issues.
Its central workflow is measure, fix, apply, and rescore. Scans identify structural findings; fix packs preview changes such as robots.txt, JSON-LD, and content-structure updates; and a later rescore compares the result. When the necessary inputs exist, AIO.GEO can seal the outcome with an HMAC proof receipt. It does not claim to measure ChatGPT rankings or AI share of voice.
What can AIO.GEO do?
Structural domain audits
Audits public pages for machine accessibility and extractability, including crawler access, DOM semantics, JSON-LD, and related protocol surfaces.
Dry-run remediation fix packs
Produces previewable fixes for areas such as robots.txt, JSON-LD, and answer-first content structure. The default apply and loop workflows use dry-run mode rather than silently writing to production.
Rescoring and proof receipts
Reruns the audit after changes, exposes differences such as updated llms.txt or server-card data, and can create or verify HMAC-SHA256 proof seals when the required inputs are present.
CLI, MCP, and no-code access
Provides terminal commands for audits, fixes, rescoring, and proof operations; an MCP interface for Cursor and Claude Code; and a ChatGPT auditor for conversational use without a terminal.
Agency reporting workspace
The Agency plan supports multi-client operations, client rosters, multi-site history, and white-label HTML report export for client-facing work.
Use Cases
“Developer pre-deployment checks”
Run the CLI from a terminal or CI workflow to inspect a domain, review proposed fixes, and use readiness results as part of a release or build-gate process.
“Website remediation and verification”
Use the audit-to-fix-to-rescore loop to prioritize structural changes, preview them before production, and compare the resulting score and findings after deployment.
“Agency client audits”
Manage multiple client domains in the Agency control room, produce baseline health reports, and export white-label HTML reports for ongoing client engagements.
“Content and SEO investigation”
Examine competitor citation gaps and organize Search Console query clusters into answer-first headings when planning content intended to be more accessible to answer engines.
“AI governance and disclosure work”
Use the available AI policy and opt-out disclosure tools, together with proof receipts, when a team needs a documented record of machine-access decisions for a public site.
Frequently Asked Questions
Does AIO.GEO measure ChatGPT or other LLM rankings?
No. The product explicitly refuses to sell LLM rankings or claimed share-of-voice measurements. It measures site structure, accessibility, extractability, and proof of changes instead.
How do I run an audit?
The CLI can be run without a global installation, for example with `npx --yes @aio-geo/cli@0.3.4 audit example.com`. A health check is available through the `doctor` command, and a public audit path is also available through the product's no-code and web interfaces.
Are fixes applied automatically?
The documented apply and loop commands default to dry-run mode. They preview or prepare changes such as JSON-LD, robots, and anchor fixes; live writes require the relevant credentials and access.
How does AIO.GEO verify that a fix worked?
It performs a fresh rescore and can show line-by-line differences and changes in readiness pillars. When the required seal inputs exist, it creates an HMAC proof receipt that can later be verified.
What plans are available?
The site lists a free tier for light scans and core results, a $49-per-month Pro plan for deeper scans, findings, fix packs, receipts, and team features, and a $199-per-month Agency plan for multi-client operations and white-label reporting. It also lists a $3,000 one-time sealed audit for one public domain.
Quick Facts
- Category
- AI search readiness and website audit platform
- Primary users
- Developers, agencies, content and SEO teams, and legal or enterprise teams
- Access methods
- Web interface, CLI, MCP, and no-code ChatGPT auditor
- Scoring model
- Deterministic 0–100 score across five weighted pillars
- Core workflow
- Measure, fix, apply, rescore
- Source domain
- aiogeoprotocol.com
AIO.GEO Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 3
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