There's the story you're telling — and the one your customers are telling each other on Reddit, X, TikTok, YouTube, and in the answers AI assistants give about you. GapWatch tracks the gap between the two, in real time, and tells you which way it's moving. And who's talking about it organically.
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The three gaps
The real talk about your brand happens in comment threads at 11pm — thousands of posts across six platforms, in communities your team doesn't have the hours to read. By the time it reaches a news cycle, the story has already hardened.
Most measurement tells you your sentiment is “neutral.” Neutral isn’t safe — it’s invisible. The brands that win are loved. The ones that get ignored sit in the indifferent middle, and no standard dashboard tells you whether you’re sinking into it or climbing out.
When someone asks ChatGPT, Claude, or Perplexity about your category, what do they say about you? AI assistants are becoming a primary recommendation channel, and almost no one is measuring how they describe — or omit — your brand.
Built on the Mackalski Index, a polarization metric developed by Dr. Robert Mackalski (PhD, marketing; Harvard Business Review case author), GapWatch classifies every brand mention on a lover–hater scale and tracks the distribution over time.
One chart tells you three things a snapshot can't: whether your brand is poised for growth, contraction, or stagnation; how effective your marketing efforts actually are — and how far they're being amplified; and how you benchmark against competitors and best-in-class brands outside your category.
Mackalski Index — Polarization Over Time
As of June 11, 2026 · Illustrative snapshotLover / Neutral / Hater distribution, weekly rolling average — sample brand
Reading this chart: Lovers growing from 31% → 47% over four weeks signals a campaign that created real demand. The neutral middle is shrinking — the brand is escaping the indifferent zone. Hater share held flat, suggesting no backlash from the lift.
The worst moment to learn about a brewing narrative is the call — from your CEO, your board chair, or a journalist — that you're not ready for. The Siren watches for sharp movement in your brand's conversation — sentiment breaking downward, volume spiking, a new negative narrative gaining share — and alerts you while the window to shape the story is still open.
It works in both directions. A viral moment you catch in hour two is an opportunity. The same moment discovered next Tuesday is a missed quarter.
Every alert is reviewed by a human analyst before it reaches you. No false-alarm fatigue, no robo-noise.
Negative narrative gaining share on Reddit /r/personalfinance — 340 posts in 4h
Brand mention volume +180% vs. 7-day avg. Competitor X named in 62% of posts.
New product launch driving Lover share +8 pts in 48h. TikTok leading the lift.
Illustrative alerts — not live data
AI Perception Scan — Week of Jun 7
Mentions brand as a leading option in the category with strong reviews.
Cited as one of several options, no strong positive or negative framing.
Category query returned two competitors; brand absent from response.
Illustrative snapshot — not live data
GapWatch queries the major AI assistants about your brand and category on a recurring basis, tracking whether they recommend you, how they describe you, and how confident their knowledge is. Each reading carries a confidence badge, so you know when to act on a signal and when to discount it.
Legacy media monitoring can't see this channel at all. We treat it as a first-class signal — because your next customer may never see your ad, but they will see the answer an AI gives about you.
Tie a campaign, launch, or announcement to a date range and GapWatch shows you what actually shifted: mention volume, sentiment, polarization, share of conversation against the competitors you name, and which platforms carried the lift. Stance-aware classification means we can track how people are reacting to the thing you did — not just whether your name came up.
+180%
Mention volume
vs. 30-day pre-launch avg
+11 pts
Lover share shift
over 4-week campaign window
+6 pts
Share of conversation
vs. primary competitor
Illustrative figures — not live data
Reddit, X, TikTok, Bluesky, YouTube, Hacker News, and curated RSS/web feeds — aggregated, deduplicated, and refreshed continuously.
Every brand carries a data-sufficiency grade (A/B/C), and metrics ship with confidence intervals. If the data is thin, we say so instead of pretending.
Every report is frozen with an explicit "as of" date. The numbers you share with your CMO won't change under you.
All AI-generated analysis passes through a centralized editorial-controls layer and, for client-facing alerts, human review.
The scoring framework, its assumptions, and its limitations are documented and open to scrutiny. Read it →
Track campaign lift, share of conversation, and whether your brand is escaping the indifferent middle. Built for the questions your agency deck doesn't answer.
Crisis radar with lead time. See narratives forming before they reach a reporter's inbox, with the receipts to brief leadership.
Watch the category leader's conversation next to your own. Know where their lovers are soft and their haters are loud.
GapWatch's brand framework is led by Dr. Robert Mackalski — PhD in marketing, professor, and Harvard Business Review case study author — and refined through expert review with senior marketing, agency, and communications leaders.
Thirty minutes. Your brand, live. No deck.
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