Proximens Oracle

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

1000+ Generative Engine Optimization (GEO) principles exposed via MCP for AI agents.

Add to your agent

Copy this into your MCP client config:

{
  "mcpServers": {
    "Proximens Oracle": {
      "url": "https://www.proximens.nl/mcp",
      "transport": "streamable-http"
    }
  }
}

Measured tools (8)

• proximens_geo_search_principles read-only

  Semantic search over the Proximens GEO Engine: a curated, continuously-updated knowledge base of 4.000+ verified Generative Engine Optimization (GEO/AEO) principles, each graded by a 0-1 confidence score and traceable to a verified source. INPUT: query (natural language, 3-500 chars); optional category (one of 13 GEO categories), top_k (1-25, default 10), min_confidence (0-1, default 0.5). RETURNS: ranked principles as JSON, each with id, title, summary, category, confidence and a relevance score; Pro/Enterprise tiers additionally return full_text and source. USE WHEN you need evidence-backed answers about how AI search engines (ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot) select, rank and cite web content.

  Parameters:

  • query (required) — string — Natural-language search query (e.g. "schema markup for local businesses" or "how to optimize for ChatGPT citations")
  • top_k — integer — Number of principles to return (max 25)
  • category — string — Filter by category (one of 13 GEO categories)
  • min_confidence — number — Minimum confidence score (0-1). Default 0.5 filters noise; raise to 0.8+ for high-confidence claims only

  Hints: read-only yes · destructive no · idempotent yes · open-world no

• proximens_geo_get_principle read-only

  Fetch one GEO principle from the Proximens GEO Engine by its UUID. INPUT: id (UUID, normally taken from a prior search_principles result). RETURNS: a single principle as JSON with id, title, summary, category and confidence; Pro/Enterprise tiers additionally return full_text, source_url, source_type, evidence_count and the last-validated timestamp. USE WHEN you already have a principle id and need its full detail — typically to drill down after search_principles.

  Parameters:

  • id (required) — string — Principle UUID (from search_principles results)

  Hints: read-only yes · destructive no · idempotent yes · open-world no

• proximens_geo_list_categories read-only

  List the GEO principle taxonomy of the Proximens GEO Engine with a live count of high-confidence principles per category. INPUT: none. RETURNS: JSON with a categories array of {category, count, description} sorted by count, plus a reconciled total that matches get_stats.total_principles. Categories: technical, structured-data, ai-search, content, e-e-a-t, freshness, multimodal, user-signals, performance, query-intent, internal-linking, mobile, other. USE WHEN you want to discover which categories exist before narrowing a search_principles call with the category filter.

  Hints: read-only yes · destructive no · idempotent yes · open-world no

• proximens_geo_get_stats read-only

  Return live aggregate statistics for the Proximens GEO Engine knowledge base. INPUT: none. RETURNS: JSON with total_principles (high-confidence count), total_categories, and on Pro/Enterprise also extended quality metrics (full corpus size and a confidence_distribution) plus the last-validated timestamp. USE WHEN you need to gauge the size and quality of the corpus before relying on it.

  Hints: read-only yes · destructive no · idempotent yes · open-world no

• proximens_geo_audit_url read-only

  Pro-tier. Fetch and analyze a web page, then audit it against the Proximens GEO Engine principles across all major GEO dimensions (structured data, crawler access, content depth, freshness, E-E-A-T, multimodal). INPUT: url (required, http/https); optional mode ("fast" = quick signal checks, returns in seconds — the default; "deep" = a full AI-synthesized consultancy report in Dutch with a 7-dimension scorecard and sector benchmark, takes ~30-50s), client_name (report header), branche_hint ("main:sub", e.g. "health_wellness:yoga_studio"), max_issues (1-25, default 10). RETURNS: JSON with a 0-100 score, severity-ranked issues (critical/major/minor) each with a finding and an actionable suggestion, top recommendations, and a markdown report; deep mode additionally returns score_set (7 GEO dimensions), sector (benchmark cohort), and a full consultancy-grade report_markdown (deep_mode="timeout_fallback" means the synthesis exceeded its budget and the fast result was returned instead). USE fast mode for quick checks and bulk triage; USE deep mode when you need a client-ready audit report. Free tier is blocked.

  Parameters:

  • url (required) — string — Target URL to audit
  • mode — string — fast = quick signal checks (seconds); deep = full AI-synthesized consultancy report with sector benchmark (~30-50s)
  • max_issues — integer — Maximum issues to return (default 10)
  • client_name — string — Optional client identifier for the audit report header
  • branche_hint — string — Branche hint in "main:sub" format, e.g. "health_wellness:yoga_studio". If omitted, principles are matched without branche filter.

  Hints: read-only yes · destructive no · idempotent no · open-world yes

• proximens_geo_compare_urls read-only

  Pro-tier. Fetch two web pages (your URL and a competitor's) and audit both against the Proximens GEO Engine principles using the same audit engine as audit_url, then compute the delta. INPUT: self_url and competitor_url (both required, http/https). RETURNS: JSON with a 0-100 score per URL (same scoring as audit_url), the principles each page satisfies, the principles each page VIOLATES that the other satisfies (delta_principles), and strategic insights on where to close the gap. USE WHEN you want a competitive GEO gap analysis between your page and a rival's.

  Parameters:

  • self_url (required) — string — Your URL to audit
  • competitor_url (required) — string — Competitor URL to compare against

  Hints: read-only yes · destructive no · idempotent no · open-world yes

• proximens_geo_synthesize_brief read-only

  Generate a structured, GEO-optimized content brief for a topic using the Proximens GEO Engine. INPUT: topic (3-200 chars); optional target_branche (one of 7 verticals), word_count_target (300-5000, default 1500) and up to 3 competitor_urls. RETURNS: JSON with a suggested H1 and H2 section structure with key points, the principles the content should address, and (Pro/Enterprise) FAQ suggestions and recommended schema.org markup. USE WHEN you need to brief a writer so a page is built to be cited by AI search engines.

  Parameters:

  • topic (required) — string
  • target_branche — string
  • competitor_urls — array
  • word_count_target — number

  Hints: read-only yes · destructive no · idempotent no · open-world no

• proximens_geo_bulk_search read-only

  Pro-tier. Run many GEO-principle searches in a single fast call. INPUT: queries (array of 2-100 natural-language strings, each 3-500 chars); optional top_k_per_query (1-10, default 5) and category filter. RETURNS: JSON with a results array (per query: the query, its matched principles, and a count), plus total_queries, total_matches and processing time. USE WHEN you need many lookups at once, e.g. a full-site audit or a keyword list, instead of repeated search_principles calls.

  Parameters:

  • queries (required) — array
  • category — string
  • top_k_per_query — number

  Hints: read-only yes · destructive no · idempotent yes · open-world no

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