The four signals you're currently missing
01 — Your real market structure Not the categories your retailers use. Not the segments your agency presented. The actual structure consumers organise themselves into via search behaviour. (For Bose in Germany: 11 segments, not 3.)
02 — Generic-search traffic vs brand-search traffic conversion Premium brands routinely convert generic-search traffic 10× better than mid-market — but capture 13× less of it. This is the single most strategic finding for any premium consumer brand. Your dashboards don't compute it.
03 — Multilingual perception that lines up Your German reviewers don't translate from English. Your French Reddit threads have their own vocabulary. Translation-based tools collapse the signal. Native extraction preserves it.
04 — Where AI Overview cites you (and your competitors) The first page of search is now an AI synthesis citing 5-10 source domains. Most consumer brands have never measured which queries cite them — or what their competitors won.
What Theia delivers for consumer brands
A continuous repository across the four pillars — Demand · Visibility · Sales · Perception — refreshed weekly. Powered by:
- Google + Amazon search rankings
- 20+ retailer pages per market (Argos, John Lewis, MediaMarkt, Boulanger, Fnac, Buy Buy Baby, etc.)
- JungleScout / Stackline sales estimates
- Amazon reviews + BazaarVoice + YouTube creators + Reddit + parenting/community forums
- AI Overview / ChatGPT / Perplexity / Claude citation tracking
Then the 5 strategy agents (L1 → L4) turn the repository into ship-ready outputs:
- L1 Category Brief — what the market values
- L2 Perception Report — how your products perform
- L3 Situation Analysis — what to do, per priority product
- L4 Listing / Content Generation — Amazon listings, brand PDPs, retailer-specific PDPs, marketing copy
The anchor proof — Bose Germany
10 days end-to-end. 38,127 customer voices analysed. 11 segments mapped. 3,796 ASINs.
The headline finding: Bose converts generic search traffic 10× better than Soundcore — but captures 13× less of it. €1.8M growth opportunity uncovered.
This kind of regression-grounded strategic finding is invisible to dashboards, takes a research agency 8-12 weeks to surface, and is exactly what continuous monitoring uncovers in 10 days.
Where this engine runs in production
The Canon imaging deployment runs across 4 EU markets · 14,000 ASINs · 25K Amazon keywords · 737K snippets · weekly refresh · monthly L1-L4 outputs.
This is hardened, large-scale production infrastructure. Your portfolio gets the same engine, scaled to your shape.
Commercial structure
| Tier | What you get | Price (per country) |
|---|---|---|
| 1 — Intelligence | Weekly Google + Amazon ranking refresh · Weekly price + content monitoring across 20+ retailers · Quarterly market structure summary | £500 / month |
| 2 — + Perception | Everything in 1 · Continuous review + YouTube + Reddit + Forum ingestion · AI extraction in source language · AI Overview citation tracking · Monthly L1 + L2 reports · Natural-language queries over the database | £1,000 / month |
| 3 — + Strategy | Everything in 2 · Monthly L3 Situation Analysis · L4 content generation (ASIN listings, brand PDPs, retailer-specific PDPs) | £1,500 / month |
Example: full Tier 3 across 4 countries = £6,000/month = £72,000/year for continuous intelligence + strategy + content infrastructure.
vs Evertune (LLM monitoring only): $18,000/month for 6 countries vs a single Kantar custom study: £100k+ per wave, no continuous refresh
4-week ramp
- Week 1 — Sign · agree categories, markets, competitor set
- Week 2 — Build · keyword seed universe + ASIN universe mapped
- Week 3 — Collect · first SERP + Amazon + retailer collection run
- Week 4 — Report · first intelligence report + perception baseline delivered
Start with intelligence. Add perception. Add strategy + content. Scale as you see results.