What changes when you sell a €79 competitor brief instead of “AI research”
We’re testing a fixed offer at TrixellaIQ: a Competitive Intelligence Brief for €79, delivered in 48 hours after payment + intake. Scope is public: ~5 direct competitors, visible offers/pricing/messaging, evidence-backed findings, and 3 priority actions. There’s a sample on the site so buyers can see the shape before paying.
Facts up front: 0 paid briefs so far. This is not a client case study.
SIGNAL
What we keep hearing (and what we keep doing ourselves) is that “research” and “AI-powered analysis” land as abstract. People ask how the work looks, what decision it supports, and what is not included.
GAP
Abstract research is hard to buy because the buyer can’t picture the deliverable or the decision. Soft proof (“we use AI to accelerate research”) doesn’t close that gap. A visible sample and a fixed scope do more work than a longer feature list.
A second gap: early conversations can look like demand when they’re really peer networking. Method questions and “send me your email” are useful signal for messaging — they are not the same as a paid brief request.
ACTION
What we’re testing next in public:
- Lead with the decision + sample, not with “research” or AI tooling.
- Keep the SKU boring and concrete: competitors, visible signals, findings with sources, 3 actions, 48h.
- Treat networking as feedback on framing; treat paid intent as the commercial metric.
Same framework we use in public mini teardowns: SIGNAL → GAP → ACTION.
If you’re packaging a research product: does your landing show a real page of the deliverable, or only adjectives?
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Francisco / TrixellaIQ — competitive intelligence for D2C brands
https://trixellaiq.com (sample on the site)
Your distinction between peer networking and paid intent is useful. One extra field I’d add to intake is: ‘What decision will you make in the next two weeks using this brief?’ That separates a concrete pricing or positioning decision from general curiosity about competitors.
For the sample, I’d show the chain from a dated public observation, to an interpretation, to an action worth testing—and label uncertainty. For example, seeing a competitor offer a bundle does not establish that the bundle sells well. That boundary may build more trust than a longer report.
You could then track sample viewed → buyer names a real decision → paid brief → buyer reports a decision taken. Each step answers a different question. No need to count a method discussion as demand, but it can still reveal what the sample failed to explain. Are interested people naming a specific upcoming decision yet?