此 MCP 可以做什么
Measures how often AI systems recommend a B2B company, compares competitor visibility, and identifies improvement areas.
工具
输入模式
{'type': 'object', 'title': 'get_visibility_reportArguments', 'required': ['report_id'], 'properties': {'report_id': {'type': 'string', 'title': 'Report Id'}}}
输入模式
{'type': 'object', 'title': 'scan_ai_visibilityArguments', 'required': ['domain', 'email'], 'properties': {'email': {'type': 'string', 'title': 'Email', 'description': "The user's work email. Required: we send the finished report there and it identifies the account. One free scan per email per month."}, 'domain': {'type': 'string', 'title': 'Domain', 'description': 'The company\'s website or domain, e.g. "acme.com".'}, 'capacity': {'type': 'string', 'title': 'Capacity', 'default': '', 'description': 'Who will do the fixes? We size and sequence the plan to match. A solo founder does not get a list built for a five-person team. One of: solo (Just me); one_marketer (One marketer); small_team (A small team, 2 to 4); full_team (A full team, 5 or more). Shapes the fix plan, which is generated in the tail after the engines answer. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer.'}, 'sells_to': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Sells To', 'default': None, 'description': "What size and type of customer? SMB and enterprise are different queries with different winners. Shapes the same. 'Best sales engagement platform for SMB teams' is not the same query as 'for enterprise revenue orgs'. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer."}, 'geo_scope': {'type': 'string', 'title': 'Geo Scope', 'default': '', 'description': "Where do you sell? Getting this wrong skews the whole report: a national firm scored on one city's queries looks invisible, and a local one scored nationally looks unwinnable. One of: global (Anywhere); national (Across one country); national_local (National, with a local angle); local (My own city or region). Shapes every buying query. This is the single highest-leverage answer here. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer."}, 'locations': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Locations', 'default': None, 'description': 'Which places? The country you sell across, or the cities you are bound to. Shapes which geography goes into a localized buying query. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer.'}, 'competitors': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Competitors', 'default': None, 'description': "Who would a buyer otherwise pick? Companies the user says a buyer would pick instead of them. We track whoever the engines name either way, so this is the user's own view rather than the whole comparison set. Shapes the comparison set, the mismatch between who you name and who the engines do, and which of those two a given finding is about. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer."}, 'buyer_questions': {'anyOf': [{'type': 'array', 'items': {'type': 'string'}}, {'type': 'null'}], 'title': 'Buyer Questions', 'default': None, 'description': "Queries your buyers ask. Queries this company's buyers actually ask. They are put to the engines verbatim and tracked scan over scan, which is what makes a trend line mean anything. Shapes the queries themselves, pinned ahead of the generated ones. Omit it rather than guessing: an omitted answer is recorded as unknown, a guessed one is indistinguishable from a real answer."}}}
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