SignalHive turns large volumes of public community conversation into decision-grade intelligence — and the moves to make on it. We read the room at scale, and we read it before the market does.
Not social listening, not mention-counting. We treat the open conversation — what people debate, praise, complain about, and compare — as structured evidence.
Continuously gather conversations across online communities at scale — on demand or on an hourly schedule, never re-reading what we've already seen.
Layer sentiment, brand and product entities, and price signals onto every discussion — a tiered pipeline that escalates to an LLM only where human-grade judgment earns its cost.
Aggregate into six analytical views, then distil into executive intelligence briefs — each closing with the move to make, not just the finding.
Every view is built on the same enriched corpus, with 30-day, 90-day, and 1-year ranges. Look at the market through whichever lens the decision demands.
Trends in customer sentiment over time. See when the mood shifted, and how far.
Which product features come up most, and how people feel about each. The roadmap, ranked by the market.
What customers call expensive, what they call a good deal, and where price sensitivity runs highest.
Brands side by side — share of voice, perception, momentum, and the influential voices driving each.
Customers grouped by behavior. Power users generate 28× the engagement of regular users — a small base driving disproportionate activity.
How much discussion is happening over time. A spike signals a launch, a controversy, or a trend forming.
A multi-pass analysis distilled into a structured brief: executive summary, competitive intelligence table, and a threat / opportunity matrix with urgency ratings and recommended actions. Pick the audience; the framing follows.
For product teams defending or growing their position. Leads with feature prioritisation and switching pressure.
For marketing leaders weighing competitive positioning, perception, and share of voice.
For companies evaluating a market — gaps, unmet needs, and the dynamics you'd want before committing.
Sentiment is broadly negative across major players, and 86% of AI pricing now sits in low-cost tiers — a margin-compression signal that opens acquisition windows. The sharpest read: Google's sentiment has slid to −26.1% while it still holds 24.4% share of voice, a leadership vulnerability challengers can exploit.
| Vendor | Sentiment | Momentum | Risk |
|---|---|---|---|
| −0.26 | ▼ falling | high | |
| OpenAI | −0.11 | → stable | medium |
| Anthropic | −0.11 | → stable | medium |
| DeepSeek | +0.01 | ▲ rising | low |
Act ≤ 90dTrack Google's enterprise AI revenue against its sentiment slide. If financials confirm the perception crisis, the share-of-voice leader is exposed — and margin-compressed challengers become acquisition targets.
Google's AI sentiment fell to −26.1% — worse than every rival — even as it commanded 24.4% share of voice.
Bring SignalHive your research subject. We'll stand up the topic, enrich the conversation, and hand you the first brief — findings and the moves to make.