ilya-a11y Signal Detection
Scan a company list for active signals that indicate a buying trigger is present right now.
What you need
- A list of companies (Clay export, CSV, or pasted list)
- Signal type to look for (hiring, funding, expansion, tool change, leadership change)
- ICP context so signals can be filtered for relevance
Signal types
Hiring signals: open roles matching target persona or team build-out (e.g., "first SDR hire", "Head of RevOps", "VP Sales")
Growth signals: recent funding, headcount growth >20% in 6 months, new office, product launch
Tool change signals: job descriptions mentioning specific tools, G2 review activity, tech stack changes
Leadership signals: new CRO/VP Sales/CMO in last 90 days — new leaders buy new things
Process
- For each company in the list, query Clay via MCP for enrichment data
- Cross-reference LinkedIn via MCP for open roles and recent activity
- Score signal strength: Strong (active, specific, recent) / Weak (indirect, older) / None
- Filter out companies with no signal
- Return scored list sorted by signal strength
Output format
Signal scan: [date] — [N companies scanned]
STRONG SIGNALS ([n])
- [Company] | [Signal type] | [Specific evidence] | Tier 1
- ...
WEAK SIGNALS ([n])
- [Company] | [Signal type] | [Specific evidence] | Tier 2
- ...
NO SIGNAL ([n]) — removed from list
Recommended next step: [run ICP validation on Tier 1 / push Tier 1 to sequence]
Notes
- If Clay MCP is unavailable, flag it and use LinkedIn + public sources only
- Recency matters: signals older than 90 days are weak by default
- Hiring signals for the exact target role = strongest possible signal