MARKET RESEARCH

Emerging Role-Title Tracker

Searches the web weekly for brand-new job titles a competitor has never posted before, infers which capability or initiative they signal, and logs each first-sighting to Notion.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionSearch competitor's live job titlesExa
  • ActionLoad historical title setNotionNotion
  • LogicKeep only never-before-seen titles
  • ActionClassify titles into initiative themesOpenAI
  • OutputAppend first-sightings to trend logNotionNotion

What it does

New job titles are the cleanest tell of a strategy pivot: the first "Forward-Deployed Engineer" or "Head of AI Safety" posting reveals an initiative before any press release. This workflow searches for a competitor's live job titles each week, diffs them against every title it has seen historically, and surfaces only the genuinely new ones with an inferred explanation.

When to use it

Use it to catch capability bets early — a competitor staffing up a new function, entering regulated markets, or building a category you don't yet cover. Best for a focused set of rivals where title novelty matters more than raw volume.

How it works

  1. 1A weekly schedule starts the run.
  2. 2Exa runs a site-scoped search for the competitor's current open job titles.
  3. 3The pipeline compares the returned titles against the historical title set stored in Notion.
  4. 4A logic step keeps only titles never seen before.
  5. 5OpenAI classifies each new title into an initiative theme and writes a short rationale.
  6. 6Each first-sighting is appended to a Notion database with date, title, theme, and rationale for the trend log.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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