How to read non-branded share by intent, without six filters
The competitive read that matters most, where non-brand demand goes, used to be a six-filter setup. It routes from one sentence.
Before, the dashboard ritual
8 steps · 6 filters · 1 table scan
- Open the Market Share dashboard
- Pick segment: Overall Market
- Set dates: last 7 days
- Comparison: vs previous week
- Branded filter: Non-branded
- Granularity: daily
- Switch to Drilldown → Intent
- Scan the intent table for movers
After, one question
Show my non-branded market share and clicks by search intent for the last 7 days vs the previous week.
Paste it into Claude, ChatGPT or Cursor with Quattr MCP connected. No tool names, no field names, routing is the assistant's job.
The answer
Show my non-branded market share and clicks by search intent for the last 7 days vs the previous week.
Analysis plan, every step, resolved for you
- Routed to the governed workflow
market-share-review - Scope resolved before filtering
segment: Overall Market · Jul 20 to Jul 26, 2026 - 1 analysis queued
market_share_breakdown - Honesty gates armed
scope echo · freshness
Two intents drive your gains; one comparison intent slips to the leader.
- Non-brand share
- 4.9% ▲ +0.2 pt CTR-modeled, of tracked demand
- Top gaining intent
- How-to guides ▲ +0.6 pt
| Intent | Search market share | Clicks | Δ clicks |
|---|---|---|---|
| Getting started | 8.7% | 61.2K | +6.1% |
| Integrations | 5.4% | 38.9K | +1.2% |
| Pricing | 4.8% | 26.4K | −3.4% |
| Troubleshooting | 3.9% | 19.8K | +0.4% |
Jul 20 to Jul 26, 2026 vs Jul 13 to Jul 19organicnon-brandsegment: Overall Market
⚠ Observationalas of Jul 27, 2026IllustrativeOpen in Quattr ↗
Intent names come from your own taxonomy, the business language the substrate was built in.
A simulated conversation on fictional data, composed from this workflow's scenario by the same director that renders every demo on this site, scope, freshness and the ⚠ Observational marker are attached automatically, not written by hand.