The intelligence layer for high‑growth DTC brands. Measure and engineer how AI influences your customer acquisition — before buyers reach your site.
Not a bolt‑on SEO tool. A purpose‑built AI Acquisition Intelligence Platform for brands that win before the click.
Model‑level visibility index, preference score and narrative differences across ChatGPT, Gemini, Claude, Copilot, Perplexity.
AI Influence Score = (recommendation frequency × intent weight) + (citation authority × trust weight).
What attributes drive AI recommendations? "Innovative", "award‑winning", "affordable" – we map positioning gaps.
We don't just track whether you appear — we measure how reliably AI systems recommend you across thousands of daily conversations. High‑confidence visibility means you're systematically embedded in how AI answers buying questions.
Not just "you're invisible". "These 12 topic clusters lack entity reinforcement – projected lift +31%."
Intent weight + citation authority + head‑to‑head win rate → acquisition probability.
Used by DTC boards to model AI‑driven acquisition
We decode the attributes that drive AI recommendations — then engineer them back into your positioning.
Brand A
Brand B
AI outputs vary. Our Signal Stability Analysis tells you whether your visibility is noise or narrative — so you know when influence becomes reliable enough to build acquisition strategy around.
We analyze how consistently AI associates your brand with key buying attributes — because influence requires repetition, not luck.
*Representative confidence scores
Full narrative analysis: ChatGPT associates Simba with “cooling technology”, Emma with “trial period”. Which attribute wins mattress buyers?
View the DTC head‑to‑head →Get a free AI influence profile for your DTC brand: cross‑model visibility, intent gaps, and prescriptive roadmap.
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