Research & audience intelligence

It reads before it writes.

Cohenta studies your business, audience, and competitors from live signals, then grounds every asset in the read.

Findings put to work

Research wired into production

Most tools stop at a dashboard. Here, the read shapes the copy, the visuals, and the channel picks.

keywordsmonthly demand · 12-mo trend
trending anglesemerging & top queries
competitor mentionssov · sentiment
current sourcesthis year, traced
audience voicetone · themes · formats
The market sweepdemand · listening · voice

The three inputs

Business, demand, audience — in that order.

Each is mapped before a plan is drawn, so the first draft aims at a gap that actually exists.

Learns your business first

Reads your site, derives your brand, segments, offerings, and markets.

Anchored in real demand

Keyword planner, trends, autocomplete — merged into one ranked list.

In your audience's own voice

Recent public posts reveal the voice, themes, and formats that land.

Competitive listening

Measured, never invented

Counted from real mentions of the rivals you name. Negation handled — “not a problem” scores positive.

Share of voice — illustrativelive posts or your corpus

One mention

Every topic shows where it came from.

Demand, conversation, and tone merge into a ranked shortlist — what survives is what the campaign stands on.

Built to be trusted

It holds up even when sources don’t.

A dated reference backs each claim, and a dead provider costs one signal, not the run.

demandlisteningvoiceranked outrankgroundone briefall claims traced
From many sources to one briefrank · ground · trace

Current-year by default

Retrieval defaults to the current year — this year’s data, not last.

One engine, every run

One workflow grounds the article, sizes the chart, picks the channel.

Degrades gracefully, by design

Sources fail alone. A deterministic fallback runs even offline.

Still curious

Questions, answered

What makes this different from other competitive intelligence tools?
Most stop at a dashboard. Cohenta wires research into production — share of voice, demand signals, and audience voice ground the copy and visuals that follow.
How does it learn my business without manual setup?
It reads your site, scores the prose, and derives your brand, segments, offerings, markets, and problem-space language. Nothing is hardcoded — it derives seed queries itself when you don't supply them.
Where does the market and competitor data come from?
Topic discovery merges three demand signals — a keyword planner with monthly demand and a 12-month trend, a trends source, and autocomplete. Listening then scores share of voice, sentiment, and themes against the rivals you name.
How does it keep research current?
Retrieval is recency-biased, with time filters that default to the current year. The work runs on this year's statistics and market data, not stale prior-year figures.
How does the audience intelligence work?
It reads recent public posts and engagement, then maps the tone, themes, and formats that land. That read feeds brand-voice and angle selection.
What happens if a research source is slow or unavailable?
Every provider is status-tracked and fails on its own, so partial discovery still ranks and flows downstream. A deterministic path keeps research running when a model is offline — fewer signals, never zero.

Your move

Turn it loose on your category

Point it at your site, add your competitors, and start the first campaign from evidence.

Get startedSee how campaigns are planned