AI Column → detect buyer intent from job posting
Pass a list of job postings through AI Column; classify each as a buyer signal for your product (yes/no/maybe) with a reason.
Turn the entire public-jobs feed into an intent stream filtered to your buyers only.
What you provide.
- Job postings listDomain + role + JD text.
- Intent promptWhat does a "buyer signal" job posting look like for your product?
The action chain.
Each step uses a real TexAu actionKey. Click the step to read the action's full reference.
- 1Classify
texau-find-technographic-dataAI Column reads each JD and emits buyer / not / maybe + reason.
- 2Sync
pipedrive-create-dealBuyer-yes rows go to the high-intent list.
What you get back.
- Intent-scored job-derived accounts→ CRM
Why this works.
Public job postings are the densest public buyer-intent dataset most teams ignore. A team hiring "Head of RevOps to consolidate our GTM tech stack" is high-intent for any vendor in that space. Reading every JD by hand is impossible; an AI Column does 5,000 in an hour. Tie the buyer-yes list to a Slack channel so reps can pounce.
Ready to run it
Deploy this workflow in your TexAu workspace.
Every workflow in the library is one click to deploy. Edit any step, swap providers, or fork it for a new ICP.