Search Readiness
Can automated systems reliably access and interpret the public technical structure of your site?
- Crawlability
- Sitemaps
- Canonical signals
- Structured data
- HTTP metadata
- llms.txt
Find technical issues that can make your public website harder for search systems and emerging AI agents to discover, understand, or use. Then work through prioritized fixes and recheck what changed.
View an illustrative assessmentAI Readiness separates established search-oriented technical checks from applicable agent-interface checks, so an experimental signal never gets disguised as a proven search requirement.
Can automated systems reliably access and interpret the public technical structure of your site?
When applicable, can an AI agent discover explicitly advertised interfaces and authentication metadata?
Findings surface a plain-language status first. Evidence, implementation guidance, documentation, and coding-agent prompts stay available when you need the technical detail.
No supported MCP discovery mechanism was detected in this illustrative example.
See how remediation worksValidation issues can be isolated with supporting evidence before a developer touches production code.
View the improvement loopThe finding is labeled as a technical recommendation rather than a guaranteed visibility or ranking factor.
See the workflowAI Readiness turns a technical scan into a repeatable workflow rather than a one-time score you admire and forget.
Select the public domain you want MonitorMyGEO to assess.
Search and applicable Agent Readiness checks produce scored findings with evidence.
Work through prioritized remediation guidance or copy a coding-agent prompt.
Use a manual recheck after changes and compare the new technical state.
No valid file detected at the expected public location.
Valid file detected in this illustrative technical-state example.
The logged-in experience is built around four questions: What is my score? What is wrong? What should I fix first? Did it improve?
Overall, Search, and Agent Readiness stay visible without burying the customer in technical cards.
Critical and warning findings are ordered into a practical work queue instead of a flat diagnostic dump.
Expand a finding only when you need the evidence, documentation, fix instructions, or coding-agent prompt.
Use either product independently, or combine them when you need both technical readiness and prompt-level brand monitoring.
No AI Visibility plan is required.
Search Readiness reviews crawlability, sitemaps, HTTP and canonical metadata, structured data, and machine-readable content such as llms.txt. Agent Readiness reviews advertised agent and API interfaces when they are applicable to the site.
No. AI Readiness scans public technical signals and reports findings. It does not modify your website or invoke detected tools during scans.
Each subscribed domain gets one automatic assessment per month plus two manual rechecks so you can verify technical changes after fixing issues.
No. AI Readiness is a standalone product. AI Visibility remains a separate product for monitoring how your brand appears across supported AI platforms.
It reviews explicitly advertised interfaces such as API catalogs, OAuth/OIDC metadata, MCP discovery, WebMCP signals, and Agent Skills. Some checks are emerging or experimental and are labeled accordingly.
Yes. AI Readiness is billed per subscribed domain, so additional domains can be activated separately within the same account.
Turn technical uncertainty into a scored assessment, prioritized fixes, and a recheck loop.