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Geo Audit

geo_audit
Read-onlyIdempotent

Audits a domain's homepage for AI visibility readiness, scoring 0-100 and listing missing signals to fix structural issues that affect AI assistant discovery and recommendation.

Instructions

Deterministic GEO / AI-visibility readiness audit of a domain's homepage with a 0-100 score + a missing_signals fix list. Answers "can AI assistants (ChatGPT, Claude, Perplexity, Google AI) discover, crawl, and recommend this site?" using STRUCTURAL signals ONLY — no LLM is queried, fully deterministic. 7 weighted rules: llms.txt present (15), AI-crawler robots.txt access — 9 crawlers incl. GPTBot/ClaudeBot/PerplexityBot/Google-Extended/CCBot (25 — the dominant signal; blocking = invisible to that AI surface), schema.org @type coverage Organization/Product/FAQPage (20), server-side rendering vs client-only SPA (15 — a JS-only SPA serves AI crawlers empty HTML), discovery signals og/canonical/sitemap (10), semantic headings single-H1 + H2 structure (10), competitor-comparison content (5). Use to triage why a brand is absent from AI recommendations, as a pre-flight before GEO/AEO content work, or to score a prospect's AI-readiness. Strictly homepage-only — we do NOT crawl. Ethical floor: target's robots.txt is honoured — Disallow: / for ContrastAPI returns 403 error.code = robots_txt_disallow and we DO NOT fetch. Cache-Control: no-store/private skips our cache write (cache_respected=false). Per-target eTLD+1 throttle (60 req/min). Free: 30/hr, Pro: 500/hr. Returns {domain, fetched_url, status_code, llms_txt_present, ai_crawlers_total, ai_crawlers_allowed, ai_crawlers_blocked, schema_types, client_side_rendered, render_framework, has_canonical, og_tag_count, sitemap_count, h1_count, h2_count, comparison_content, score, missing_signals, cache_respected, summary}. Returns 502 on DNS/TCP/TLS failure; 403 robots_txt_disallow when the target opted out.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
domainYesRegistrable domain to audit for AI-visibility / GEO readiness (e.g. 'example.com', 'shopify.com'). No scheme, no path, no port. Strictly homepage-only — the bot fetches https://<domain>/ with HTTP fallback (we do NOT crawl).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint. The description adds substantial behavioral context: fully deterministic (no LLM queried), honors robots.txt with specific error codes (403, 502), cache behavior, throttling per eTLD+1, and detailed output fields. No contradictions with annotations.

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?

The description is lengthy but well-structured, front-loading purpose and then detailing rules, usage, ethics, and output. Every sentence provides necessary information for a complex tool, though it could be slightly more concise without losing clarity.

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

Completeness5/5

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

Given the tool's complexity (7 weighted rules, multiple output fields, error states, rate limits, ethical considerations), the description is highly complete. It covers input constraints, behavioral details, output format, and edge cases. The output schema is mentioned, so return values are sufficiently documented.

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

Parameters4/5

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

The single parameter 'domain' has 100% schema description coverage. The description adds meaning by specifying it must be registrable, no scheme/path/port, homepage-only, with HTTP fallback. This adds value beyond the schema's own description.

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?

The description clearly states this tool performs a 'Deterministic GEO / AI-visibility readiness audit' of a domain's homepage, producing a 0-100 score and fix list. It distinguishes itself from siblings like seo_audit by focusing specifically on AI assistant discoverability, and from audit_domain by being homepage-only.

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

Usage Guidelines5/5

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

The description explicitly states when to use the tool: 'to triage why a brand is absent from AI recommendations, as a pre-flight before GEO/AEO content work, or to score a prospect's AI-readiness.' It also states what not to do: 'Strictly homepage-only — we do NOT crawl.' It provides context on ethical handling of robots.txt and rate limits.

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

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