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geo-optimizer-mcp

make_site_geo_ready

Generate Organization and FAQ schema, llms.txt, and robots.txt snippets so AI search engines can find, understand, and cite a website.

Instructions

Generate all GEO (AI search optimization) assets for a website in one shot. Returns ready-to-use Organization Schema JSON-LD, FAQ Schema JSON-LD, llms.txt, and robots.txt snippet — so AI search engines like ChatGPT, Gemini, Grok, and Claude can find, understand, and cite the site. Use this when building or updating a website and the user wants AI search visibility. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
faqNoFAQ pairs (optional — 3-7 Q&A recommended)
urlYesSite URL (e.g. 'https://acme.com')
nameYesBusiness or site name (e.g. 'Acme Corp')
emailNoContact email (optional)
phoneNoContact phone (optional)
servicesNoList of services or products (e.g. ['Web design', 'SEO', 'Hosting'])
descriptionYesWhat the business does — 1-3 sentences

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does meaningful work: it declares the exact return payload and that no API key is required. It implies a pure generation/computation tool with no mutation of side effects, but doesn't explicitly confirm this or mention any limits.

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

Conciseness4/5

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

Front-loads purpose, then deliverables, then usage, then the no-key note — a clean logical order with no wasted setup. The enumeration of four AI engines is slightly decorative but still clarifies intent.

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

Completeness4/5

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

For a generator tool with no output schema and no annotations, the description explains both the inputs' intent and the returns well. A minor gap remains around what the caller does with the assets or any preconditions on the site, but nothing essential to correct invocation is missing.

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?

Schema description coverage is 100%, so every parameter is already documented in the schema, including the optional FAQ format and recommendations. The description adds no parameter-level detail (formats, constraints, example shapes) beyond what the schema provides, so the baseline 3 applies.

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

Purpose5/5

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

States a specific verb (generate) and resource (GEO/AI-search assets for a website), and enumerates the exact deliverables (Organization Schema JSON-LD, FAQ Schema JSON-LD, llms.txt, robots.txt snippet). This clearly distinguishes it from siblings like analyze_geo_score or get_geo_fixes, which assess or retrieve rather than generate.

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

Usage Guidelines4/5

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

Gives explicit context: 'Use this when building or updating a website and the user wants AI search visibility.' This tells the agent when to reach for it, though it does not name an alternative sibling or state when not to use it, so it falls short of full routing guidance.

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