Gamut
Sales & Pipeline

Prospect Finder Agent

Turn this week's public buying signals into a short, ranked list of accounts worth a conversation.

Updated

Connects with

SalesforceSalesforceHubSpotHubSpotPipedrivePipedriveSlackSlack
Download template

The problem it solves

Sales teams waste hours hunting for accounts that are actually in-market, and the best timing windows close before anyone notices the trigger event. Prospect Finder watches for real buying signals each week, cross-checks them against your CRM, and hands your reps a short list of accounts with a specific reason to act now.

Who it's for

  • B2B account executives and SDRs running outbound
  • Sales development and demand-gen leaders
  • Founders and revenue leaders at early-stage startups doing their own prospecting
  • RevOps teams who want timing-based, signal-driven targeting
  • Agencies and consultancies prospecting on behalf of clients

What it does

  1. 1

    Search for buying signals

    Each week the agent runs targeted web searches for the signal types you define, such as leadership hires, funding rounds, headcount expansion, missed targets, or competitive displacement.

  2. 2

    Verify each signal is real and recent

    It checks that the article date matches the signal date within your lookback window and that the company genuinely fits your ICP, discarding aged or vague matches.

  3. 3

    Cross-reference your CRM

    It skips accounts that are already in open pipeline, current customers, or contacted within your recency window, and flags fuzzy name matches for you to verify.

  4. 4

    Rank by buying intent

    Accounts that hit more than one signal are merged into a single entry and ranked higher, since multiple triggers indicate stronger intent.

  5. 5

    Write a Cost-of-Inaction angle

    For each account it ties the specific signal to a concrete cost of waiting, using your own framing and worked examples so the reason to act sounds like you.

  6. 6

    Post a ranked list to your channel

    It delivers a short, source-cited list to the Slack channel you choose, capped at your maximum, with no padding and no fabricated sources.

Key benefits

  • Catch in-market accounts in the timing window when they are most likely to buy
  • Every signal is specific, recent, and cited to a real source
  • No wasted outreach to existing pipeline, customers, or recently touched accounts
  • A ready-to-use Cost-of-Inaction reason to act now for each account
  • A short, ranked list each week instead of a noisy spreadsheet of cold names
  • Quality over quantity: it never pads the list with weak or invented signals

Sample use cases

A logistics company hires a new VP of Sales and posts seven AE roles in two weeks.

The agent flags both signals as one high-priority entry and frames the cost of letting a new leader build an undocumented onboarding process before you reach out.

A target account closes a Series C and names go-to-market scaling as the use of funds.

The agent surfaces the funding event with the source link and a COI angle tied to board pressure to show growth within two quarters.

A prospect misses revenue guidance and the CEO admits on the earnings call that the sales motion needs work.

The agent ranks it as a top opportunity because the post-miss window is peak buying motivation, and cites the exact quote and source.

A found account closely matches an existing CRM record but the names differ slightly.

The agent keeps it in the list but appends a verify-against-CRM warning naming the possible duplicate so a rep can check before reaching out.

Key integrations

  • Salesforce

    CRM cross-check to skip open pipeline, current customers, and recently contacted accounts.

  • HubSpot

    Alternative CRM for filtering found accounts against existing relationships and contact history.

  • Pipedrive

    Alternative CRM the agent can connect to for pipeline and customer exclusion checks.

  • Slack

    Where the ranked, COI-framed prospect list is posted at the start of each week.

  • Web search

    Platform-native search across news, press releases, LinkedIn, and funding sources to find recent buying signals.

Prospect Finder is built around timing. Instead of treating prospecting as a one-time list pull, it runs on a weekly cadence and looks for the moments that make an account worth a conversation: a new sales leader, a fresh funding round, a hiring spree, or a missed quarter. Because it cross-references your CRM before posting, the list you read on Monday is accounts you can actually act on, not names you already know.

The sharpness of the output comes from the context you give it during onboarding. A specific ICP, well-named buying signals, and a couple of worked Cost-of-Inaction examples are what make each entry sound like your team wrote it, with a concrete reason to act now rather than a generic nudge.

Getting started

  1. Import the workspace — Drag the template zip into the Gamut agent import dialog, or install it directly from the marketplace.
  2. Run the agent-onboarding skill — A setup session starts automatically and walks you through your CRM, ICP, buying signals, COI framing, exclusion rules, delivery channel, and schedule.
  3. Give it a first task — Ask it to run a search for your strongest single signal type and show the raw results, so you can confirm the signals look sharp before it filters against your CRM.

Frequently asked questions

What is the Prospect Finder agent?

It is an AI sales prospecting tool that scans recent news and public buying signals each week, filters them against your CRM, and posts a short ranked list of accounts worth contacting. Each entry includes the specific signal, its source, and a Cost-of-Inaction reason to act now.

Does it reach out or take action without my approval?

No. The agent only researches and posts a ranked list to your chosen channel. It never sends outreach or edits your CRM, so your reps stay in control of every conversation.

Which systems does it work with?

It connects to a CRM such as Salesforce, HubSpot, or Pipedrive to cross-check pipeline and customers, and posts results to Slack. Web search is platform-native, so there is nothing extra to connect.

How is this different from manual prospecting or generic sales prospecting software?

Most b2b sales prospecting software hands you static contact lists; this agent watches for timing-based buying signals every week, removes accounts already in your CRM, and explains why each one is worth a conversation right now. That signal-and-timing focus is what separates the top AI software for sales prospecting from a bigger database.

How much does it cost to run?

The template itself is free to import, and it needs no extra API keys by default since accounts connect over OAuth. Your only costs are the CRM and Slack subscriptions you likely already have.

What if it finds fewer than three accounts in a week?

It posts what it found and states clearly what was searched rather than padding the list with weak signals. If this happens often, you can broaden your ICP or add another buying signal type during onboarding.