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Google search results, forum threads, local and shopping data, keyword ideas, AI answer tracking.

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.4/5.0

Scored across 8 tools

Disambiguation3/5

The tools mostly target distinct SERP/AI-visibility jobs, but there is meaningful overlap: google_serp can return local-pack and shopping add-ons while extract_local_places and extract_shopping_results are dedicated extractors. company_serp_footprint, geo_citation_radar, and find_discussion_candidates also share brand/forum/PAA territory, so an agent may hesitate between audit, radar, and filtered search tools.

Naming Consistency3/5

All names use snake_case, which is readable and consistent at the character level. However, the set mixes verb-first names like extract_local_places and find_discussion_candidates with noun-phrase names like ai_answers, google_serp, and geo_citation_radar, so there is no single predictable tool-naming pattern.

Tool Count5/5

Eight tools is well within the appropriate range for a SERP/AI-visibility analysis server. Each tool covers a recognizable capability area, and the count does not feel bloated or thin for the stated purpose.

Completeness4/5

The surface covers core workflows: Google SERP search, AI answer visibility, local and shopping extraction, forum/discussion discovery, keyword ideation, company footprint auditing, and citation radar. Minor gaps remain around historical rank tracking or search-volume data, but agents can work around them for most visibility-analysis tasks.

Available Tools

8 tools
ai_answersAI Answers and Brand VisibilityA
Read-only
Inspect

Put a buyer's question to an AI assistant that searches the live web, and see whether a brand and its competitors are named in the answer, in what rank, with the citations and cited domains behind it. The assistant is ChatGPT unless engine names claude, perplexity or gemini; an assistant the server has no key for answers not_configured and costs nothing. samples (1 to 5, default 1) asks the same question more than once, for a mention rate. Returns metrics per assistant, not the raw answers. Charged per call to the assistant at the price list in credits (see llms.txt), the same as POST /v1/ai/answers: the worst case is held first, only the calls made are charged, and a call where the assistant failed is charged nothing. Gemini, when it searches Google, is a base price plus a price for each distinct search query it runs (the model decides how many; up to 10 a call are held for, and a call is only made when that worst case fits in what is held): you are charged for the queries that ran.

Inputs: brand (required), prompt (required), engine, country, +4 more.

company_serp_footprintCompany Search FootprintC
Read-only
Inspect

Audit a company's SERP digital footprint, brand reputation, owned domains, and entity profiles. Separates owned web properties, social/entity profiles (Wikipedia, LinkedIn, Instagram, Crunchbase), Google Maps locations, third-party mentions, and customer brand questions (PAA).

Inputs: company (required), gl, hl, depth, +3 more.

extract_local_placesGoogle Local PlacesB
Read-only
Inspect

Extract Google Local Pack (3-pack) and Google Places listings for local queries. Returns place_id/cid, title, rating, review count, address, latitude/longitude, category, phone, and website.

Inputs: query (required), gl, hl, fresh, +1 more.

extract_shopping_resultsGoogle Shopping ResultsB
Read-only
Inspect

Extract Google Shopping carousel listings for e-commerce and product queries. Returns product title, price, currency, merchant, rating, reviews, image URL, link, and product ID.

Inputs: query (required), gl, hl, fresh, +1 more.

find_discussion_candidatesForum and Discussion FinderA
Read-only
Inspect

Search Google and filter organic results (positions 1-100) specifically for community discussions and forum threads (Reddit, Quora, HackerNews, StackExchange, niche forums). Ideal for sentiment analysis, user discussions, and customer problem discovery.

Inputs: query (required), gl, hl, depth, +2 more.

geo_citation_radarGEO Citation RadarC
Read-only
Inspect

Run GEO Citation & Injection Radar for a topic query and brand. Calculates citation probability score (0-100), identifies high-impact Reddit/Quora threads with injection playbooks, extracts listicle PR outreach targets with Vera contacts payload, discovers AEO question gaps from PAA, and produces an LLM-ready markdown injection brief.

Inputs: query (required), gl, hl, brand, +5 more.

google_serpGoogle Search ResultsA
Read-only
Inspect

Execute a full Google SERP search query with strict Google provenance (depth 10 to 100). Returns verified Google organic results with classification tagging (forums, video, ecommerce) and the results page's features (AI Overview, PAA, Knowledge Graph). The local pack and shopping are add-ons: set local_pack and/or shopping to true to include them. A result searched in the last 24 hours is served from the cache at a lower price; set fresh to true to search live.

Inputs: query (required), gl, hl, depth, +4 more.

keyword_ideasKeyword IdeasA
Read-only
Inspect

Keyword ideas for a seed keyword from Google autocomplete (the seed plus question words or the alphabet), People Also Ask and related searches, cleaned and de-duplicated. Each idea carries its sources and an intent label (question, comparison, commercial, local, informational). Works in Arabic. Ideas only: no search volumes. Charged for the results page (7 credits live, 1 from your cache) plus 7 credits for each autocomplete call that returns suggestions, so at most 14 credits for expand 'none', 70 for 'questions' (the default), 196 for 'alphabet' (210 for an Arabic seed) and 217 for 'all'; it stops early once limit ideas are found, which is 12. Set fresh to true to search the results page live; autocomplete is always live.

Inputs: seed (required), gl, hl, fresh, +4 more.

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