Last updated: May 2026

TL;DR — LinkedNav's Signal Agent detects buyer intent by monitoring three types of LinkedIn activity: competitor post engagement (someone liked or commented on a competitor's content), job changes (a decision-maker joined a new company or role), and topic posting (a prospect published or engaged with content about the problem you solve). All signals surface within a 24-hour freshness window — ensuring outreach arrives while intent is still active, not weeks after the moment passed.

Signal Agent is LinkedNav's intent detection layer — the component that answers the question most LinkedIn automation tools never ask: who on LinkedIn is ready to buy right now?

Traditional LinkedIn automation works like a delivery system: you provide a list, it sends to everyone on it. Signal Agent works like a radar: it continuously monitors LinkedIn activity patterns and surfaces people whose behavior indicates current buying intent.

The distinction matters because of timing. LinkedIn's connection cap of ~100 invites/week forces teams to choose carefully. Sending those 100 invites to people who are actively in evaluation mode produces 40–60% acceptance rates. Sending them to a static list produces 10–20%. Signal Agent is what populates the "right 100" every week.

When a prospect engages with a competitor's LinkedIn post — likes it, comments on it, shares it — they're demonstrating:
- They follow and care about the category
- They're comparing options (otherwise, why engage with a competitor?)
- They're active on LinkedIn at this moment

Social Listening (Signal Agent's sibling feature) tracks specific competitor company pages and influencer accounts. When new content is posted and attracts engagement, engagers auto-import as signal leads within 24 hours.

Why this works: The prospect is already thinking about your market. Your outreach references the specific content they just engaged with. It's not random — it's timely and contextually relevant.

Signal strength:
- Comment > Like (commenting shows more active engagement)
- First-party engagement (their own post about the competitor) > passive engagement (liked someone else's share)

Job changes create a predictable buying window. When a new VP Sales joins a company:
- They're assessing the current tech stack
- They want to prove impact quickly
- They have authority to make purchasing decisions
- They have no incumbent vendor loyalty ($0 committed)

Signal Agent detects relevant job changes and surfaces them with a 24-hour freshness window. The outreach note — "Congrats on the new role at [Company] — we help new [Title]s in [vertical] get up to speed quickly" — converts at 40–55% acceptance.

What makes a job change signal high-quality:
- New hire in a relevant decision-making role (VP, Director, C-suite)
- Company matches ICP criteria (size, industry, stage)
- Change is recent (within the last 30 days)

A prospect who just published a LinkedIn post about "improving SDR reply rates," "our cold outreach isn't working," or "evaluating new sales tools" is explicitly demonstrating their pain in public.

Signal Agent monitors for these topic-posting signals based on keyword patterns you configure (or that LinkedNav's AI ICP generator derives from your offer description). These leads appear with the specific post text, providing the exact context for a personalized connection request.

Topic posting signal quality:
- Highest quality: prospect is asking for recommendations ("looking for tools that do X")
- High quality: venting about a specific problem you solve
- Medium quality: engaged with someone else's topic post

Not every buyer-intent signal comes from your ideal customer. Signal Agent filters signals through your ICP criteria before surfacing them:

The AI ICP generator builds these criteria from a plain-language description of your offer and ideal customer. You describe your target, and LinkedNav generates the matching filter logic — no manual Boolean filter building required.

Signal × ICP quality matrix:

LinkedIn content has a short engagement half-life. Most post engagement happens within 24–48 hours of publication. A prospect who liked a competitor's post 3 weeks ago has already moved on from that consideration moment.

Signal Agent's 24-hour freshness ensures:
- Signals surface when they're still active
- Outreach arrives during the consideration window
- You're not competing with other outreach that arrived closer to the signal

For teams running Signal Agent in real-time, the typical workflow:
1. Morning check: review new signal leads from the last 24 hours
2. Priority queue: sort by signal strength + ICP match
3. Campaign enrollment: enroll the day's signal leads in an outreach sequence
4. Same-day outreach: connection request goes out within hours of the signal

Signal Agent surfaces leads. LinkedNav's campaign automation delivers outreach to them.

The sequence:
1. Signal lead appears in queue with signal context (what they engaged with, when)
2. Connection request sent with a signal-referenced note
3. After accepting: AI follow-up drafted from prospect's LinkedIn activity, queued for human approval
4. Approved follow-up sends; conversation tracked in Unibox

Auto-withdraw handles pending invitations not accepted within 14–21 days — keeping the pipeline clean as new signals continuously arrive.

See your first high-intent signal leads in 5 minutes — no list import required.

Start free →    See live signals →

Signal Agent continuously monitors LinkedIn for three types of buyer intent signals: competitor post engagement (someone liked or commented on a competitor's content), job changes (a decision-maker joined a new company or role), and topic posting (a prospect published or engaged with content about the problem you solve). Signals are filtered through your ICP criteria (job title, company size, industry) and surface in your lead queue within a 24-hour freshness window, ready for outreach.

Signal Agent detects: (1) competitor post engagement — when prospects interact with competitors' or relevant influencers' LinkedIn content, indicating active category evaluation; (2) job changes — new hires in decision-making roles at ICP companies, creating a prime vendor-evaluation window; and (3) topic posting — prospects who publish or engage with content directly about the problem your product solves, explicitly demonstrating the pain you address.

LinkedIn content engagement happens primarily within the first 24–48 hours of posting. A prospect who liked a competitor's post 3 weeks ago has likely moved on from that consideration moment. 24-hour freshness ensures your outreach arrives during the active consideration window, not after it. This timing advantage is the primary reason signal-triggered outreach produces 40–60% connection acceptance rates versus 10–20% for static list outreach — same person, same message quality, different timing.

Signal Agent filters all detected signals through your ICP criteria: target job titles, company size range, industry verticals, seniority level, and optionally geography. You configure these criteria using LinkedNav's AI ICP generator — describe your offer and ideal customer in plain language, and the AI generates the matching filter criteria. Only signals from profiles that match your ICP surface in your lead queue. This prevents high-signal-but-wrong-ICP leads from diluting your outreach with irrelevant contacts.

Yes. Signal Agent operates from organic LinkedIn activity — public post engagement, profile changes, and content publishing — without requiring LinkedIn Sales Navigator. Sales Navigator's filtered search is useful for building static lists, but it doesn't detect real-time intent signals. Signal Agent fills the gap: where Sales Navigator gives you profiles matching demographic criteria, Signal Agent gives you profiles demonstrating behavioral intent right now. The two complement each other but neither requires the other.

LinkedIn's built-in alerts notify you when connections change jobs. Signal Agent is more comprehensive: it detects job changes for non-connections (people you haven't connected with yet), detects competitor engagement signals (LinkedIn has no equivalent), detects topic posting signals, filters all signals against your ICP criteria, and surfaces leads continuously with 24-hour freshness. LinkedIn's alerts are reactive notifications about your existing network; Signal Agent is proactive discovery of new intent-qualified prospects.

LinkedIn Sales Automation · Signal Agent · Social Listening · Campaign Automation · Sales Navigator Automation · Lead Generation · Multiple Senders · Unified Inbox

If you are weighing whether to replace Sales Navigator entirely: