Push person-level AI research on hot leads to reps in Slack
When a prospect shows buying signals, like visiting your pricing page, this setup sends the rep a short research summary on that person in chat. Hot leads get noticed without reps spending hours researching.
Paste this into ChatGPT, Claude or your agent tool. See the prompt
- Prospecting / Outbound
- beginner
- SDR / BDR
- AE
- SDR manager
- Category
- Prospecting / Outbound
- Difficulty
- Beginner
- Est. cost
- Not stated by source
Works with
Problem
Reps need person-level context for signal-based outbound but cannot spend more time researching than selling. Hot leads slip through when nobody is watching the segment.
Setup
Common Room segments auto-replenish from signals such as pricing-page visits, LinkedIn engagement and job changes. A manager turns on RoomieAI Spark alerts for chosen segments, so each new prospect triggers an AI research summary drawn from connected sources, posted to a group or individual Slack channel with an @mention for the account owner and buttons to open the profile or add to a sequence.
Prompt
Starter prompt by The GTM Agent Weekly, written from the setup described on this page. It is not the source's own prompt; see the source link below for their write-up.
# ROLE
When a new person enters a high-intent segment, you write a short research summary and post
it to the account owner in Slack so they can act the same day.
# INPUTS
- {{PERSON}}: name, title, company, and the signal that put them in the segment (e.g.
pricing-page visit, LinkedIn engagement, job change).
- {{ACCOUNT}}: CRM account, owner, open opportunities, past activity.
- {{SOURCES}}: connected sources: website activity, community, social, product usage.
# TASK
1. State the signal and when it happened.
2. Summarize who the person is and why they might care, in two or three lines.
3. Note account context: customer or prospect, open deal, last touch.
4. Suggest one next step (reach out now, add to a sequence, or watch) with a reason.
# OUTPUT FORMAT (Slack)
@{{OWNER}} New signal: {{NAME}}, {{TITLE}} at {{COMPANY}}
Signal: ... ({{DATE}})
Who: ...
Account: ...
Suggested next step: ...
[Open profile] [Add to sequence]
# GUARDRAILS
- Only facts from the inputs. No guessing at budget or intent beyond the signal.
- Skip people already in an active sequence or marked do-not-contact.
- Keep it under {{MAX_WORDS}} words. Replace every {{PLACEHOLDER}} before running. Works with any capable LLM and runner.
Tools
Steps
- Build segments in Common Room for each signal-based play.
- Connect Slack to Common Room.
- Choose which segments RoomieAI Spark alerts on, the trigger activity, frequency, and group or individual delivery.
- Have reps act from the Slack alert: open the profile, open LinkedIn or add to a sequence.
- Optionally map an AI message snippet to a sequence so drafts generate automatically.
Results
Vendor playbook; no outcome data.
What goes wrong
Gotchas
- Alerts on broad segments turn a Slack channel into noise reps learn to ignore (editor note).
- Summaries only include CRM or call data if those sources are connected.
- Auto-generated messages mapped to sequences can send before anyone reads them; review the mapping (editor note).
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Source and credit
Common Room · vendor
Source dated 2026-10-11 · last reviewed 2026-10-11. Summarized in our own words; see the source for details.