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After connecting your G2 account, the following nodes become available in Profound Agents. G2 Agent nodes bring buyer intent, market signals, reviews, ratings, and review excerpts into Agents.

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Available nodes

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Browse Buyer Intent

Surfaces G2 accounts showing active buying intent for one or more products.

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Required inputs

  • G2 Account — Select an account from the dropdown

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Optional inputs

  • Products — One or more products to track, entered as a product slug, product ID, or G2 product URL
  • Dimensions — Which intent dimensions to include. Company Name and Company Domain are selected by default. Other options include Company Country, Employees, Industry, Signal Type, Provider, as well as other product, category, vendor, and visitor dimensions
  • Start date / End date — The date range to pull intent data for (YYYY-MM-DD)
  • Company name — Filter results to a specific company, for example Acme
  • Company domain — Filter results to a specific company by domain, for example example.com
  • Signal type — Narrow results to one kind of intent signal: Profile, Category, Compare, Competitors, Ad, Product Reference Page, Licensed Content, Vendors, Pricing, Competitive Profile, Competitive Compare, or Competitive Pricing
  • Minimum intent score — Only return results with an intent score at or above this value (0–100)
  • Limit — Maximum number of results to return. Defaults to 100 (max 100)
  • Pagination cursor — Pass a cursor from a previous response’s next_cursor to fetch the next page of results

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Output

The output is a JSON object with accounts showing buyer intent signals on G2, plus metadata that includes the next pagination cursor.

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Key concepts

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Product identifiers

Product fields accept a product slug, product ID, or G2 product URL. Use the same identifier in every G2 node in an Agent so results describe the same product throughout the run.

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Filters and optional fields

Optional fields act as filters. When left empty, the node returns unfiltered data.

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Pagination

Nodes that return lists default to a maximum of 100 results. To fetch more, pass the previous response’s next_cursor into Pagination cursor on the next run or step.