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AtlasRepo

Finding B2B Buying Signals in Job Posts and Company News

Description and use

A tool that scores job postings and company news to prioritize B2B buying signals, using SearchApi’s Google Jobs and News APIs, scoring titles, recency, and news events to filter prospects.

Problem

Job posts alone lack enough context to determine when a new posting indicates buying intent.

Outcome

In a test run on 28 Sep 2026, the tool processed 19 job listings, selected 3 employers, and scored each at 45 points based on recent job matches, but no news points were earned.

Workflow

  • Define firmographic profiles (Growth, Team Buildout, etc.)
  • Query Google Jobs API via SearchApi for relevant listings
  • Deduplicate and select top employers
  • Query Google News API via SearchApi for news items about selected employers
  • Apply scoring rules: title match (up to 40 pts), recency (up to 20 pts), news event match (25 pts), dual sources (15 pts)
  • Filter results by score threshold
  • Export and review top sources
  • Document insights per account

Evidence

The problem that I’m solving is that job posts on their own don’t give you enough information to know when a new job post is actually worth looking into further.

Source

In my app, I’ve created several different (and editable) firmographic profiles, including, but not limited to: Growth, Team Buildout, New Leadership and Revenue Operations.

Source

Using my growth profile as an example (shown below), I can assign up to 40 points if I find a job that matches both the role and the description of the job.

Source

In a run on 28 Sep 2026 with a company limit of three, The job search part made two requests to the Google Jobs API and found 19 relevant and de-duplicated job listings.

Source

Each of the three accounts scored 45 points for having recently posted jobs matching the profile’s titles. None of the accounts scored any points from the news search.

Source

  • Record date: 2026-10-07T16:40:50.395Z