Skip to main content
Glama

AI SEO + AEO/GEO Site Auditor — Crawl & Auto-Fix

ai_seo_site_auditor
Read-only

Crawl your site for technical, on-page and AEO/GEO SEO issues and get…. Crawl your site for technical, on-page and AEO/GEO SEO issues and get AI-written, ready-to-paste fixes plus a sitewide report and llms.txt.

Input Schema

NameRequiredDescriptionDefault
inputNoInput for AI SEO + AEO/GEO Site Auditor — Crawl & Auto-Fix. See https://apify.com/noniner/ai-seo-site-auditor.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful context that the operation yields ready-to-paste fixes, a sitewide report and an llms.txt artifact. It does not disclose crawl duration, scope limits, or how the generated artifacts are returned, so it clears the lower annotation-backed bar without being rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is truncated mid-clause ('and get….') and then the entire sentence is repeated verbatim, which is pure waste and makes the front-loaded content look garbled. The intended content is compact, but the duplication and truncation are real structural defects.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an open-world crawl tool with a nested input object and no output schema, the description covers the deliverable set (fixes, report, llms.txt) but says nothing about required input, crawl depth/limits, or runtime expectations. It is minimally adequate, not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is a single nested input object with 100% schema description coverage, so the baseline is 3. The description adds nothing about the input (which site, what config), and the schema's own description is merely a placeholder pointing at an external URL, so no real added meaning exists.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource: crawling a site for technical, on-page and AEO/GEO SEO issues, then producing AI-written fixes, a sitewide report and llms.txt. That is far more specific than a tautology. However it does nothing to distinguish itself from close siblings like ai_website_audit or ai_search_visibility_platform, leaving the agent to guess which auditor to pick.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites (e.g. a URL is required, crawl scale/limits), and no named alternative among the several audit-adjacent siblings. The agent gets a capability statement with zero routing logic.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources