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Customer Intelligence

Content roadmap from customer conversations

Turn sales calls, support tickets, and customer interviews into a content roadmap written in your customers' own words. Every article has a defensible reason to exist.

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Multi
Format ingestion
Auto
PII redaction
Themed
Signal clusters
1-Click
Content brief
Why this matters for you

Most teams guess at topics. This is a repeatable pipeline from real conversations to published content.

  • ✓ Every article has a defensible reason to exist - backed by customer evidence
  • ✓ Content uses customer language, not marketing jargon
  • ✓ Themes are tracked over time - see what is rising and what is fading
  • ✓ PII is stripped automatically before analysis
See Prompt Intelligence
Capabilities

From conversation to content brief

Upload anything your customers said. Get structured signals, themed clusters, and scored content opportunities.

Multi-Format Ingestion

Upload audio (MP3, WAV), video (MP4), transcripts, notes, reviews, survey exports, and support threads. One input pipeline for every source.

Automatic Transcription

Audio and video files are transcribed automatically with speaker diarization. Know who said what without manual tagging.

Structured Signal Extraction

Every source is broken down into questions, pain points, objections, and desired outcomes - each with the verbatim quote attached.

Semantic Theme Clustering

Signals are embedded and clustered into named themes with frequency and trend (rising, steady, fading). See what is coming up more often this month.

Opportunity Scoring

Recurring themes become concrete content opportunities, scored by internal frequency combined with external AI and search demand.

Direct Handoff to Content

An opportunity generates an article brief that keeps the customer language and real objections, so the piece answers what buyers actually ask.

How it works

Three steps from conversation to content

Upload what your customers said. Get back a scored content roadmap.

01

Upload customer conversations

Upload sales calls, support transcripts, interviews, reviews, or survey data. Audio and video are transcribed automatically with speaker labels.

02

Extract and cluster signals

LinkLoom extracts questions, pain points, objections, and desired outcomes, then clusters them into named themes ranked by frequency and trend.

03

Generate content from real demand

Recurring themes become scored content opportunities. One click creates an article brief loaded with customer language and the gap it addresses.

Signal extraction

Four signal types, each with a verbatim quote

Every signal links back to what a real customer said and where they said it.

LinkLoom / Customer Intelligence / Signals
Sample data
Question Sales call - Acme Corp
23 occurrences

"How do I know if AI engines are citing my content?"

Pain point Customer interview
18 occurrences

"We publish 20 articles a month but have no idea which ones actually drive leads"

Objection Sales call - Beta Inc
12 occurrences

"We already use Surfer SEO for optimization - why would we need another tool?"

Desired outcome Support ticket
31 occurrences

"I want one dashboard that shows traffic, AI citations, and content performance together"

Illustrative data. Real signals are extracted from your uploaded conversations.

Theme clustering

Scattered signals become named themes

Signals are grouped by similarity, named automatically, and tracked over time so you see what is rising.

Theme Signals Trend Top signal Opportunities
AI visibility measurement 47 ↑ Rising "How do we know if ChatGPT mentions us?" 3
Tool consolidation 34 ↑ Rising "We're paying for 5 different content tools" 2
Content ROI attribution 29 → Steady "Our CEO asks which blog posts generate revenue and we can't answer" 2
Publishing workflow friction 21 → Fading "It takes 3 hours to publish one article across all our channels" 1

Sample themes. Real clusters are generated from your customer data.

Privacy and security

Customer data stays private

PII is stripped before analysis. Storage is private and per-account. Nothing is shared or used for training.

Automatic PII redaction

Names, email addresses, phone numbers, physical addresses, and other identifiers are stripped from transcripts before any AI analysis runs. Redaction happens on upload, not after.

Private, per-account storage

Uploaded files and extracted signals are stored in isolated, encrypted storage scoped to your account. Data is never shared between accounts, never used for model training, and can be deleted at any time.

Reviewable before processing

After transcription and PII redaction, you can review the cleaned transcript before signal extraction runs. Nothing is analyzed without your confirmation.

Delete anytime

Remove any uploaded file, transcript, or extracted signal from your dashboard. Deletion is permanent and includes all derived data. See our Privacy Policy for full details.

Frequently asked questions

What file formats can I upload?
Audio (MP3, WAV, M4A, OGG), video (MP4, MOV, WebM), and text-based sources including plain text transcripts, CSV exports, JSON, and direct paste. For audio and video, files up to 2 hours in length are supported with automatic transcription.
How does the transcription work?
Audio and video files are transcribed using a speech-to-text model with automatic speaker diarization - it identifies different speakers and labels them in the transcript. Accuracy is high for English and improving for other languages. You can review and edit the transcript before signal extraction runs.
What happens to personally identifiable information?
LinkLoom runs automatic PII/PHI redaction before any analysis or AI processing. Names, email addresses, phone numbers, physical addresses, and other identifiers are stripped from the text. Redacted transcripts are stored in private, per-account storage and are never shared across accounts or used to train models.
How are signals extracted?
After transcription and PII redaction, LinkLoom runs structured extraction to identify four signal types: questions customers ask, pain points they describe, objections they raise, and desired outcomes they express. Each signal is tagged with the verbatim quote and the source it came from.
What is semantic theme clustering?
Extracted signals are embedded as vectors and clustered using similarity. Clusters are automatically named based on the dominant topic. Each theme shows a signal count, a trend indicator (rising, steady, or fading based on recency), and the most representative quote. This groups scattered mentions of the same issue into one trackable theme.
How is opportunity scoring calculated?
Each content opportunity is scored by combining internal frequency (how often real customers raised the theme) with external demand (search volume and AI prompt volume from Prompt Intelligence). High-frequency internal themes that also have high external demand score highest - they represent validated content ideas that have both customer evidence and market reach.
How does the content brief work?
When you create content from an opportunity, LinkLoom generates a brief that includes the customer language (real quotes and pain points), the specific gap the article should address, the target prompts it should answer (from Prompt Intelligence, if connected), and a suggested structure. The brief loads directly into the editor so you start writing with full context.
Is the data stored securely?
Yes. Uploaded files and transcripts are stored in private, per-account storage with encryption at rest. PII is redacted before AI processing. Files are not shared between accounts, not used for model training, and can be deleted at any time from your dashboard. See our <a href="/privacy-policy/">Privacy Policy</a> for full details.
Which plans include Customer Intelligence?
Customer Intelligence is available on Business plans and above. The number of monthly uploads and processing hours scales with your plan tier.

Content backed by what customers actually say

Upload conversations, extract signals, and build a content roadmap where every article has a reason to exist.

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