INTEL/TAGS & THEMES
// INTEL OUTPUT · TAGS & THEMESCOMMAND & WAR ROOM

Patterns you'd miss. Discovered automatically.

AI reads every signal across all 12 streams and generates tags — short labels describing what each data point is about. Related tags cluster into themes. Themes get scored against your strategy. You see what your market is talking about without reading a single review.

// AI-GENERATED TAGS

Every signal gets tagged. Automatically.

Tags are generated in ~200ms per item with an 85% cache hit rate. Cross-source tags (appearing in reviews, social, AND surveys) are stronger signals.

pricing increase34
pricingredditnews
broken automation28
app reviewsreddit
AI features22
hiringnewswebsite
poor support19
app reviewsG2reddit
data migration15
redditapp reviews
deliverability13
redditG2
SSO / security11
surveyG2
API limits9
redditapp reviews
Sample data · B2B email marketing vertical · 30-day window
// THEME DISCOVERY

Related tags cluster into strategic themes

AI groups related tags across all signals into themes — then scores each theme by volume, sentiment, cross-source strength, and alignment with your product strategy. The highest-scored themes are the ones that matter most.

Pricing backlash across competitors↑ surging
62 mentions·Sendcraft, Dropmail
PRIORITY96
Multiple competitors raised prices in Feb 2026. Sendcraft's increase triggered a viral Reddit thread. Customers actively looking for alternatives.
pricing increasebilling complaintsno grandfathering
AI feature arms race↑ growing
41 mentions·Dropmail, Pulsemail, Mailwing
PRIORITY84
3 of 5 competitors are hiring for AI roles or adding AI to their homepage positioning. Dropmail shipped an AI subject line generator. Category-wide shift.
AI featuresML hiringAI positioning
Support quality declining→ stable
33 mentions·Sendcraft, Mailwing
PRIORITY71
Support complaints consistent across app reviews, G2, and Reddit for Sendcraft and Mailwing. Sendcraft's App Store rating dropped 0.3★ in 7 days.
poor supportslow responsebroken automation
Enterprise readiness gaps↑ new
18 mentions·Your app, Mailwing
PRIORITY58
Enterprise buyers citing SSO and audit logs as blockers in G2 reviews and surveys. Both you and Mailwing lack these — Beampost owns this positioning.
SSO / securityaudit logsdata migration
// THE PIPELINE

Signal → Tag → Theme → Priority Score

01

Signal arrives

A review, Reddit mention, pricing change, news article, or any other data point enters SENSER.

02

AI generates tags

GPT-4o-mini reads the content and assigns 1-5 descriptive tags in ~200ms. Cached for efficiency (85% hit rate).

03

Tags cluster into themes

Related tags across all sources and competitors group into themes. 'pricing increase' + 'billing complaints' = pricing backlash theme.

04

Themes get scored

Each theme gets a 0-100 priority score based on volume, sentiment, cross-source detection, and alignment with your product strategy.

12 SIGNAL STREAMS → AI TAGS → CLUSTERED THEMES → SCORED & RANKED
// CROSS-SOURCE DETECTION

A theme in one source is a signal. In three sources it's a pattern.

When "poor support" appears in app reviews AND Reddit AND G2 reviews, that's not three separate problems — it's one theme with 3x the confidence. SENSER detects this automatically and boosts the priority score.

EXAMPLE: "POOR SUPPORT" THEME
App Reviews
"terrible support response times"
App Store
Reddit
"Anyone else waiting 5+ days for Sendcraft support?" — 203 upvotes
r/emailmarketing
G2 Reviews
6 reviews cite support as primary weakness, down from 4.2 to 3.8 rating
G2.com
→ 3 sources confirmed → priority score boosted from 51 → 71 → theme rank elevated
// ALL INTEL OUTPUTS · EVERY PLAN

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© 2026 SENSER · Competitive intelligence for B2B SaaS