Build positioning from the words your customers actually use.
PrismaCue captures customer and sales calls, surfaces the exact language your buyers reach for, and assembles messaging maps and positioning canvases grounded in real quotes — not paraphrased summaries that have already lost the signal.
Great customer calls. Messaging that no longer sounds like them.
Marketing teams talk to customers regularly — through research calls, win/loss debriefs, and sales handoffs. But the language customers use rarely survives the trip from call to campaign. Every handoff filters it further.
Messaging built from summaries, not real words
Customer calls get summarised by a rep, paraphrased into a note, then distilled again into a brief. By the time messaging is written, the original language the customer used has been filtered out three times over.
Positioning that drifts from real problems
When you build positioning from second-hand notes and memory, it stops reflecting how customers actually describe their pain. The copy sounds like internal jargon, not customer language.
No path from call to canvas
Your transcription tool captures the call. Your doc tool stores the summary. Neither one assembles a messaging map or positioning canvas grounded in what was actually said.
PrismaCue closes the gap: customer language flows straight from the call into the positioning canvas, tagged at the source.
Real customer language in. A grounded messaging map out.
Context flows in from customer calls, sales recordings, voice notes, existing docs, and Salesforce. As the conversation runs, PrismaCue assembles a live messaging canvas — every card labelled with exactly where it came from.
Capture the conversation
Context flows in from live customer calls, existing recordings, voice notes, pasted notes, and Salesforce — every source speaker-attributed and timestamped.
Messaging map assembles live
The positioning canvas builds itself card by card as pain statements, outcomes, and language patterns surface — not reconstructed from imperfect notes hours later.
Every card shows its source
Each item carries one of three fact-states: Said — the customer's own words, Sourced — grounded in your existing docs or briefs, AI-suggested — clearly marked dashed so you decide what ships.
Live-share with the team
Share the messaging canvas with copywriters, PMs, or sales while the research call is still running. They see a clean, curated view — only verified content, no raw AI noise embedded.
"We keep writing the same content and nobody can find it — it's like we're starting from zero every quarter."
"The problem isn't creating content, it's knowing if anyone actually used it and whether it helped."
"If a rep could find the right deck in 30 seconds, that would already be a win."
"Knowing what content actually closes deals — that's the thing we've never been able to prove."
ICP: marketing ops teams at 200–2000-person B2B SaaS companies. Primary pain: content discoverability and attribution.
Stop starting from zero every quarter.
Know which content closes deals. Finally.
Three moments where real customer language changes the work.
Marketing teams run the same types of conversations repeatedly. PrismaCue makes each one immediately useful — insight captured at the source, not reconstructed from a summary a week later.
Voice-of-customer research call
A marketer joins a live customer interview. As the customer describes their workflow, the canvas captures their exact language as Said cards — verbatim, speaker-attributed. Pain statements, desired outcomes, and the words they reach for naturally all land on a live messaging map. Existing product copy is checked as Sourced against the brief. AI-suggested headline alternatives are clearly marked dashed so the team decides what makes it to the campaign.
Win / loss debrief with sales
After a closed deal, a marketing leader joins the debrief call. The canvas captures what the champion said their business case was, what objections came up, and what competitive framing landed — all as Said cards, in the customer's own words. Sourced cards tie each point back to existing collateral. The result is a positioning canvas you can audit, not a rep's paraphrase of a paraphrase.
Messaging audit against real calls
The team runs a batch of customer call recordings through the canvas. The canvas surfaces how customers actually describe their problem and what language they use for outcomes they want. Existing website copy and campaign messages are loaded as Sourced. AI-suggested gaps between current messaging and real customer language are clearly marked — the team reviews and accepts, not blindly inherits.
See the messaging map build itself on a real call.
We run our own sales calls on PrismaCue. Request a demo and you'll see the canvas assembling in real time — customer language captured live, labelled at the source, shareable before the call ends.
Every card in the demo is labelled: Said, Sourced, or AI-suggested — so you know exactly what to trust.