Check if your site is ready for AI agents.
FennecSEO's Agent SEO audit helps teams evaluate discovery, content access, crawler policy, and agent capability signals across the same readiness layers used by modern AI search and agent workflows.
Agent Ready Model
What the Agent SEO audit checks
Classic SEO answers whether a page can rank. Agent SEO asks whether agents can discover the site, read the right content, respect publisher policy, and find real product capabilities.
Discoverability
Entry points
Verify that agents can find your public resources before they parse a full page.
Content Accessibility
Readable content
Check whether important pages can be exposed in clean, stable formats for AI readers.
Bot Access Control
Policy signals
Separate crawl rules, content-use preferences, and bot identity verification.
API / Auth / MCP Discovery
Agent capabilities
Surface real app capabilities through structured discovery when your product has APIs or tools.
Prioritize
Choose the right Agent SEO path
Not every website needs MCP, OAuth metadata, or commerce protocols on day one. Use the site type to choose what matters first, then expand once the basics are stable.
Content sites
Start with crawlability, sitemaps, Link headers, llms.txt, Markdown access, and Content Signals.
Best for publishers, blogs, documentation, and GEO-focused resources.
SaaS products
Add API discovery, auth metadata, product docs, pricing clarity, and agent-safe workflows.
Best for tools, dashboards, portals, and applications with real product capabilities.
Commerce flows
Keep indexable product content clean, then separate checkout, account, payment, and agent commerce rules.
Best for stores preparing for transactional agents without opening sensitive flows.
Learn More
Agent SEO reading path
These guides explain the strategy behind the audit and the implementation choices behind each readiness layer.
Agent SEO Audit: IsItAgentReady, GEO and AI SEO Readiness
The hub guide for the Agent SEO stack: discovery, Markdown access, bot policy, protocol discovery, and measurement.
Markdown for Agents and AI SEO Content Negotiation
How to expose cleaner page representations without confusing Markdown or llms.txt with Google ranking requirements.
Content Signals and AI Bot Access for Agent SEO
How to express search, AI input, and AI training preferences without accidentally blocking useful discovery.
MCP Server Card for SEO and Product Websites
When product websites should expose agent-callable tools, resources, auth requirements, and safety boundaries.
FennecSEO App v1.1.0 Agent SEO Ready Check
A product update showing the new Agent SEO workspace, customizable scan, scorecards, and copyable fixes.
Run Agent SEO checks in the FennecSEO app.
Use the v1.1.0 Agent Ready workspace to scan a URL, review category scores, customize checks, and copy fixes for your team.
