What Is an AI Signal?
A AI Signal tracks hard-to-detect buying triggers by continuously monitoring the public web for specific, high-intent changes at companies in your Ideal Customer Profile (ICP). Unlike preset signals (like hiring or funding), Custom AI Signals allow you to define exactly what “in-market” looks like for your product. Avina’s AI agents then scan:- Company blogs and product updates
- Feature and documentation pages
- Earnings calls and investor transcripts
- 10-Ks, SEC filings, and shareholder letters
- Press releases and public announcements
- Changelogs, roadmaps, and release notes
- Community forums and public FAQs
Why Custom AI Signals Matter
Most revenue teams rely on generic, surface-level intent. Custom AI Signals unlock true buying context:-
Uncover Invisible Buying Motion
Detect changes that never show up in traditional intent data. -
Replace Guesswork with Proof
Signals are pulled from verifiable, public sources. -
Precision Over Volume
Find fewer accounts, but with dramatically higher deal potential. -
Perfect Message–Market Fit
Outreach is grounded in something the buyer actually said or shipped. -
Category Creation Enablement
Ideal for new markets where no standard signal exists yet.
Ideal Scenarios for Using Custom AI Signals
- Your buyers show intent through product changes, not ads
- Your ICP talks about problems in earnings calls or filings
- Your category is new or emerging
- You sell into technical, operational, or compliance-heavy teams
- You need to detect early-stage buying motion before vendors are shortlisted
Examples of High-Intent Custom AI Signals
- A company announces it is:
- “Exploring internal AI copilots”
- “Replatforming its data infrastructure”
- “Migrating off legacy security tooling”
- “Overhauling customer support workflows”
- “Building in-house fraud detection”
- A product page launches:
- “Beta AI assistant”
- “New analytics layer”
- “Developer API v2”
- An earnings call mentions:
- “Operational inefficiencies”
- “Manual workflows at scale”
- “Customer experience challenges”
- A 10-K discloses:
- New risk around data security, reliability, or compliance
- Increased spend on software modernization
How Custom AI Signals Work
-
Signal Definition
You describe what an in-market trigger looks like in natural language. -
AI Monitoring
Avina deploys specialized agents to scan across thousands of public sources continuously. -
Verification & Scoring
Each signal is evaluated for:- ICP fit
- Intent strength
- Role and department relevance
- Buying urgency
-
Automated Routing
Signals flow directly into:- Slack
- CRM
- Sequences
- Ad platforms
- Internal dashboards
High-Value Automated Plays
Avina activates Custom AI Signals across your GTM stack automatically:-
Hyper-Personalized Outbound
Sequences dynamically reference the exact trigger that fired. -
Account Prioritization
Custom signals carry the highest weight in Avina’s Account Score. -
Real-Time Slack Alerts
Reps get notified the moment a verified trigger appears. -
CRM Enrichment & Routing
Accounts update automatically with signal context and urgency flags. -
Ad Retargeting
High-intent accounts flow directly into custom ad audiences.
Tag
avina_custom_ai_signal
Natural, Strategic Messaging Examples
Saw the update your team shared about [specific trigger]. Teams usually hit that moment right before they reassess tooling and workflows. If helpful, I’d be glad to share how others navigated that transition. Totally fine to reconnect later if timing isn’t right. Best,
[Your Name]
LinkedIn Direct Message
Just saw your team [specific change]. That’s usually the point where a lot of tooling decisions get revisited. Happy to share what we’re seeing if useful.Why Custom AI Signals Win
Custom AI Signals unlock demand before buyers ever raise their hand. While traditional intent reacts to behavior, Avina reacts to change itself. By monitoring what companies:- announce
- ship
- struggle with
- disclose

