Developer & Engineering Lane
Instant 1-command AST code fixes and CI score gates
- 1-command terminal audits via @aio-geo/cli
- Stdio MCP server for Cursor and Claude Code
- Automated GitHub CI/CD build gate checks
$ npx @aio-geo/cli audit example.comAI Search Visibility
AIO.GEO PROTOCOL
AIO.GEO measures how artificial intelligence search engines parse, understand, and cite your digital entity. By evaluating structural DOM semantics, JSON-LD schema graphs, and crawler access policies, our protocol generates dry-run remediation fix packs sealed with cryptographic proof receipts to establish machine authority.
Know what LLMs see. Fix it. Prove it.
[ REFUSAL POLICY ]We do not sell LLM rankings. We sell structure, accessibility, and receipts.
Agencies: open the multi-client control room
01
10-second audit
See where your site is ready for AI answers: and where it is invisible.
02
Competitor teardown
See why AI quoted them and not you, on one page.
03
Fix and prove lift
Preview concrete fixes, rescore, and verify results with a sealed receipt.
04
Agency control room
Run client rosters, send white-label weekly digests, and deliver $5k-$15k/mo retainers.
SYSTEM OPERATIONAL LANES[ CLI / MCP v0.3.0 ]>_ LAUNCH DEVELOPER PATH [ WHITE-LABEL PDF ]LAUNCH AGENCY CONTROL ROOM [ GSC TOPICAL MAPS ]RUN FREE AUDIT & TOOLS [ AI GOVERNANCE ]OPEN OPS & COMPLIANCE
Which operational lane fits your team?
Select your operational lane to deploy specialized AI search readiness tools. Whether executing developer terminal commands, client agency proposals, content marketing audits, or corporate legal compliance, AIO.GEO provides deterministic workflows tailored to your specific technical and business requirements for modern production engineering teams.
[ REFUSAL POLICY ]We do not sell LLM rankings. We sell structure, accessibility, and receipts.
Agency Growth & Client Lane
0-100 client health rating + $5k retainer pitch reports
- Multi-tenant client roster management
- Instant 0-100 baseline health score reports
- White-label HTML/PDF export for $5k/mo retainers
Pitch_Report_v1.pdf+28 PTS GAIN
Illustrative sample only. Live scores come from real audits.
Content Strategy & SEO Lane
Competitor LLM citation analyzer + answer-first H2 maps
- Free AI Search Readiness domain audit
- Competitor LLM citation gap autopsy
- GSC query clustering into answer-first H2s
Cited in Perplexity: Competitor A (64%) vs You (12%)
DEMO-style illustration. Live mindshare requires probe fuel.
Legal & Enterprise Counsel Lane
1-click AI copyright and opt-out disclosures
- Machine opt-out disclosures (/ai-policy tools)
- AI hallucination and brand defamation guard
- Cryptographic HMAC proof receipts
Training Reserve Status:
Full surface map: /paths
Method ·
What is AI Search Readiness?
AI Search Readiness is a deterministic 0 to 100 score that measures whether generative answer engines can crawl, parse, extract, and trust your public pages. It combines five weighted pillars: technical access for AI bots (25%), answer-first content structure (25%), schema markup completeness (20%), authority anchors and citations (20%), and presentation quality including alt text and semantic HTML (10%). It is not an LLM ranking product and never invents ChatGPT share of voice. Agencies use the score to prioritize repairs, ship dry-run fix packs, rescore after deploy, and attach sealed before-and-after receipts clients can verify.
How does the AIO.GEO 4-step loop work?
The closed loop is measure, fix, apply, rescore. First, a free structural audit crawls your domain with SSRF-safe fetch, scores geo-heuristic-v3.5 pillars, and ranks lethal gaps such as blocked GPTBot rules or missing Organization schema. Second, a dry-run fix pack proposes robots.txt, JSON-LD graphs, and answer-first headers without writing your production site. Third, operators apply via CLI, MCP, or GitHub PR with tokens you control. Fourth, an identical methodology rescore produces a delta; optional HMAC seals prove the window when causal data exists. Every write path defaults to dry-run so CMOs review diffs before any live mutation ships.
Why do traditional SEO metrics fail in LLM answer engines?
Classic SEO optimizes for web ranking algorithms that weigh backlinks, keywords, and click models. Answer engines instead sample extractable HTML text, structured entities, bot access policies, and co-citation graphs across third-party sources. A site can rank well in Google while GPTBot is disallowed, JSON-LD is empty, or pages hide meaning behind thin marketing copy. AIO.GEO measures the structural surface those crawlers actually see, then produces machine-readable patches. For live multi-engine citation share you still need budgeted probes: readiness alone is necessary, not sufficient, for visibility outcomes.
What do buyers actually get from AIO.GEO?
CMOs receive plain-language readiness scores, lethal gaps, and competitor structure teardowns. Agencies receive multi-client tables, white-label digests, CLI and MCP apply paths, and optional sealed proof URLs. Product surfaces include free homepage audits, dashboard fix packs, operator CLI at /cli, and docs that refuse fake ranking claims.
AI readiness score
Can models crawl, extract, and trust your pages? Five weighted pillars with plain-English fixes across 100 points of structural evidence.
Competitor teardown
See which third-party sites models learn from so you know where to earn placement without inventing answer-engine rankings.
Category radar
Optional paid path: probe multiple answer engines under a hard spend cap. Always labeled, budget-gated, never silent cost overruns.
Sealed before-and-after
After fixes, a signed receipt shows whether readiness improved versus controls. Integrity of payload, not invented rankings.
Agency control room
Client table, seats, digests, and export built for five to fifteen thousand dollar monthly GEO retainers with white-label reports.
Client-ready reports
PDF, HTML, and digests your account team can send without explaining Greek variables or stage cosplay from internal engineering docs.
Know what AI sees
How do you start fixing and proving readiness?
Start with a free structural audit. Graduate to dry-run fix packs, operator CLI, agency digests, and sealed before-and-after receipts when you are ready. Pick a path if you already know your role, or run the homepage scan for a baseline score.
Trust strip
- Dry-run default on every write path
- Versioned method on every report (geo-heuristic-v3.5)
- DEMO packs always labeled: no invented engine share
We do not sell LLM rankings. We sell structure, accessibility, and receipts.