01 — Brand X · martech
39 of 49 buying-intent queries. Cited zero times.
| Buying query | Comparable competitors cited |
|---|---|
| top content marketing platforms | ahrefs, airtable, brafton, buffer |
| best conversion rate optimization tools | ab tasty, convert, convertbox |
| best AI writing tool for marketing teams | ahrefs, anyword, birdeye, canva |
| best referral marketing software | ambassador, captiv8, cello, dub |
| best event marketing software | attendease, audience republic, audienceview, bizzabo |
| … and 34 more | |
Cited in 9 of 49 tracked queries. Absent from 39 where a comparably sized competitor already appears.
Dated output from a controlled buying-intent benchmark. Individual responses may vary; directional patterns are evaluated through repeated observations.
02 — Share of Model™
Share of Model™ is Namoria's benchmark metric for how often a brand appears across a fixed set of buying-intent prompts under defined test conditions. It is a controlled benchmark — not a claim about every buyer, account or AI session.
Results are reported by engine and date. Repeated observations are used to assess whether a movement is larger than normal model variation.
You do not read a dashboard to get it. You receive it, dated, with the prompts and the competitors named alongside you.
03 — Method
Measure — repeated, versioned buying-intent benchmarks
49 controlled buying-intent benchmarks, repeated weekly across ChatGPT, Perplexity and Gemini under versioned test conditions. Every brand named in every answer is recorded, by engine and date.
Intervene — up to three prioritized actions
Up to three prioritized source, content or entity actions — schema.org markup, content that answers the benchmark directly, third-party placements the engines already trust — applied under a controlled protocol so their effect can be measured against variance.
Evaluate — movement vs. variance, controls where feasible
Post-intervention movement is compared with observed variance and controls where feasible. The next runs do not automatically prove causality. They show whether the observed movement is strong enough, persistent enough and sufficiently differentiated from normal variance to merit a decision.
04 — Status
- How AI systems form B2B vendor shortlists
- How brand absence can be measured, and with what confidence
- Which evidence is useful enough to support a business decision
- Which operating model can deliver that evidence end to end
Paid engagements are paused while we validate the product, scope and operating model. Nothing is sold through this site.
05 — FAQ
How is this different from GEO tools?
GEO tracking tools give you a counter to interpret. Namoria's work is the measurement protocol itself: controlled buying-intent benchmarks, repeated across engines, with model variance tracked and outputs dated. What that measurement is worth commercially is precisely what this research phase is meant to establish.
Which engines do you track?
ChatGPT, Perplexity and Gemini — the three engines your buyers are actually using to research vendors. Each engine is benchmarked with controlled buying-intent prompts, and results are reported by engine and date.
Can I buy something today?
No. Paid engagements are paused while we validate the product, scope and operating model. You can join the research list — no report, deliverable or response time is promised at this stage.
Do I need to change my tracking or analytics stack?
No. Benchmark runs happen outside your stack — nothing is installed, connected or modified on your side.
Is the Share of Model™ number comparable across weeks?
A repeated, versioned sampling protocol helps distinguish directional brand movement from normal model variance. Results are reported by engine and date, and movements are assessed against repeated observations rather than a single run.