Website readiness scanners

AgentScan alternative for hosted agent-readiness reports

Compare AgentScan and CanAgentUse for MCP discovery, A2A Agent Cards, open LLM API exposure, crawler policy, llms.txt, schema, APIs, OAuth metadata, UCP, and remediation reports.

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What we found

AgentScan is an open-source command-line scanner for discovering exposed MCP servers, A2A Agent Cards, and open LLM APIs.

- The AgentScan GitHub repository describes the project as an AI protocol scanner.
- Its repository description says it discovers exposed MCP servers, A2A Agent Cards, and open LLM APIs in one command.
- GitHub showed 75 stars and a June 29, 2026 update during review.

Choose CanAgentUse when

- You need a hosted report that SEO, product, engineering, and platform teams can share.
- You want broad coverage across crawler policy, llms.txt, schema, semantic HTML, OpenAPI, OAuth metadata, MCP, A2A, WebMCP, UCP, and x402.
- You need remediation evidence across public website and commerce surfaces, beyond exposed protocol discovery.

Choose AgentScan when

- You want an open-source CLI for protocol exposure scanning.
- Your immediate question is whether MCP servers, A2A Agent Cards, or open LLM APIs are exposed.
- You prefer running scans locally or inside developer workflows.

Comparison matrix

CanAgentUse vs AgentScan

Vendor pricing and packaging move quickly, so this table sticks to the product job, output, and team fit.

Criterion	CanAgentUse	AgentScan
Primary job	Audit whether a public site exposes the crawl, content, metadata, API, protocol, and commerce signals agents need.	AgentScan is an open-source CLI that discovers exposed MCP servers, A2A Agent Cards, and open LLM APIs.
Check depth	Broad checks across crawler policy, llms.txt, schema, semantic HTML, OpenAPI, OAuth, MCP, A2A, WebMCP, UCP, x402, and more.	Public pages usually show a smaller or more specialized check list. Test the report before assuming parity.
Output style	Evidence-led reports with issue details, fix guidance, public reports, exports, and focused validators.	Often a score, quick scan, app report, implementation offer, or visibility dashboard depending on the product.
Team fit	SEO, product, engineering, ecommerce, platform, and developer relations teams that need fixable evidence.	Teams that want a quick scan, a narrower tool, or an implementation-specific path.
Pricing and packaging	Public scanners are available. Product, plugin, and workflow pricing depends on scope.	Check the vendor site before buying. Plan names, free limits, and paid implementation offers change.

Alternatives shortlist

Other tools worth checking

CanAgentUse

Deep technical AI readiness audits across content, discovery files, APIs, protocols, and commerce signals

CanAgentUse is for teams that need proof. It checks whether crawlers can reach the site, whether AI systems can parse the page, and whether agents can discover usable actions.

Works well for

- Covers crawler policy, llms.txt, schema, semantic HTML, OpenAPI, OAuth metadata, MCP, A2A, WebMCP, UCP, x402, and related agent signals.
- Returns evidence and fix guidance that SEO, product, and engineering teams can act on.
- Includes focused validators for AI crawler compatibility, llms.txt, MCP, A2A, UCP, and agent website structure.

Watchouts

- It is not a keyword database, backlink suite, or generic brand mention tracker.
- It goes deeper than a quick free scanner, so the best value comes when a team plans to fix the issues it finds.

Profound

AI answer visibility and executive market intelligence

Profound is mainly a visibility platform. Use it when the question is where your brand appears in AI answers and how that compares with competitors.

Works well for

- Good fit for answer share, competitive visibility, and reporting for leadership.
- Useful when the site foundation is already healthy and the next question is market presence.

Watchouts

- Visibility reporting does not prove that crawlers, schema, APIs, MCP, or checkout flows work.
- Technical teams may still need a readiness scan before chasing visibility gaps.

Peec AI

AI search analytics and prompt monitoring

Peec AI is useful when a marketing team wants to track brand presence in AI search and compare that presence with competitors.

Works well for

- Strong match for prompt monitoring and AI search reporting.
- Easy to explain to brand, growth, and content teams.

Watchouts

- Prompt visibility does not diagnose agent protocol readiness.
- Engineering teams still need separate checks for crawler access, schema, OpenAPI, MCP, and authentication metadata.

Scrunch AI

AI search presence and customer journey analysis

Scrunch AI focuses on how brands appear during AI search and buying journeys. It is a marketing visibility tool more than a technical website audit.

Works well for

- Good fit for demand teams studying AI-assisted discovery.
- Useful when content opportunities and journey visibility matter most.

Watchouts

- Journey visibility does not validate machine-readable contracts.
- A technical scan is still useful for protocol, API, metadata, and crawler problems.

OtterlyAI

AI search monitoring, prompts, links, and brand mentions

OtterlyAI fits teams that want to watch brand mentions and citations across selected AI search prompts.

Works well for

- Good starter layer for AI search monitoring.
- Useful when the buyer wants mention tracking before deeper technical work.

Watchouts

- Mentions do not show whether an agent can fetch, parse, authenticate, or act on the site.
- Technical remediation needs a different kind of report.

SiteSpeakAI Agent Readiness Scanner

A quick scan tied to SiteSpeakAI's chatbot and WebMCP product

SiteSpeakAI checks for signals such as WebMCP, llms.txt, structured data, and content quality, then points users toward its agent and chatbot setup.

Works well for

- Simple free entry point for teams learning what AI agent readiness means.
- The page explains WebMCP and llms.txt in plain terms.

Watchouts

- It is closer to a quick scanner and product lead-in than a full evidence report.
- Teams that need many protocol checks, exports, or engineering detail may outgrow it.

FAQ

Is AgentScan a direct CanAgentUse alternative?

It overlaps on agent protocol discovery, but it is narrower. AgentScan is a CLI for exposed MCP, A2A, and open LLM API surfaces. CanAgentUse covers a broader website and protocol readiness workflow.

When should I use AgentScan with CanAgentUse?

Use AgentScan when engineering wants a local command-line check for exposed agent protocols. Use CanAgentUse when the team needs a wider report covering crawler policy, llms.txt, schema, APIs, authentication metadata, commerce signals, and fix guidance.