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AI ACQUISITION INTELLIGENCE · BEYOND GEO & AEO

Win before the click in an AI‑first economy

The intelligence layer for high‑growth DTC brands. Measure and engineer how AI influences your customer acquisition — before buyers reach your site.

AI is the new decision layer between brands and buyers

AI Acquisition Intelligence Platform GEO/AEO native

UltraScout is an AI Acquisition Intelligence Platform that measures and optimises how AI systems influence your customer acquisition. As buyers increasingly rely on AI assistants like OpenAI's ChatGPT, Google's Gemini, and Microsoft's Copilot to research, compare, and choose products, traditional search visibility is no longer enough.

We analyse how AI platforms mention and recommend your brand, position you against competitors, associate you with key buying attributes, and influence decision‑stage queries — then turn insights into a strategy to increase your AI‑driven acquisition.

📈 DTC‑ready

Strategic & Category‑Defining GEO · AEO

UltraScout is the first platform built to measure and engineer machine‑mediated customer acquisition. AI assistants are rapidly becoming the new decision layer between brands and buyers. Before a customer clicks, they ask AI what to buy, who to trust, and which brand is best.

UltraScout tracks your visibility, recommendation strength, citation authority, and competitive positioning across leading AI systems including OpenAI, Google, Microsoft, and Anthropic. We model AI influence across the full buying journey, identify narrative gaps, and provide a roadmap to increase your AI‑driven conversion impact. UltraScout helps brands win before the click.

⚡ For DTC growth

Bold & Market‑Leading beyond GEO/AEO

UltraScout is the intelligence layer for the AI‑first economy. As AI systems become the primary interface for product discovery, comparison, and recommendation, brands must understand how machines perceive and prioritise them.

UltraScout analyses how AI assistants position your brand, which attributes they associate with you, when they recommend competitors, and how stable your influence is over time. Across platforms such as OpenAI, Google, Microsoft, and Anthropic, we measure AI‑driven market influence — and show you exactly how to increase it. Because in an AI‑mediated world, visibility is no longer enough. Influence wins.

🚀 DTC‑first design

Beyond GEO & AEO. From visibility to influence engineering.

Not a bolt‑on SEO tool. A purpose‑built AI Acquisition Intelligence Platform for brands that win before the click.

1. Cross‑Model Visibility GEO‑grade

Model‑level visibility index, preference score and narrative differences across ChatGPT, Gemini, Claude, Copilot, Perplexity.

ChatGPT: 78% · Gemini: 43% · Claude: 62%

2. Intent‑Weighted Influence

AI Influence Score = (recommendation frequency × intent weight) + (citation authority × trust weight).

High intent "best mattress" · you win 73%

3. Narrative & Attribute Intelligence AEO‑level

What attributes drive AI recommendations? "Innovative", "award‑winning", "affordable" – we map positioning gaps.

competitor associated with "back pain relief" 3.2x more

4. Confidence‑Weighted Visibility

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.

Confidence Score: 92 (systematic preference)

5. Prescriptive Optimisation

Not just "you're invisible". "These 12 topic clusters lack entity reinforcement – projected lift +31%."

influence engineering roadmap
MODELING INFLUENCE, NOT MENTIONS

The AI Influence Score

Intent weight + citation authority + head‑to‑head win rate → acquisition probability.

AIinfluence = Σ ( Recfreq × Intentw ) + ( Citauth × Trustw ) + ( WinRateH2H × Decisionw )

Used by DTC boards to model AI‑driven acquisition

attribute intelligence · AEO‑level

Why AI prefers competitors

We decode the attributes that drive AI recommendations — then engineer them back into your positioning.

A

Brand A

"award‑winning" · "innovative"
vs
B

Brand B

"affordable" · "great finance terms"

Separate one‑off mentions from systematic preference

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.

Claude confidence 94%
Gemini consistency 88%

*Representative confidence scores

DTC BATTLE · GEO DEEP DIVE

Simba vs Emma

Full narrative analysis: ChatGPT associates Simba with “cooling technology”, Emma with “trial period”. Which attribute wins mattress buyers?

View the DTC head‑to‑head →
Simba 52%
Emma 41%
ENTER THE INTELLIGENCE LAYER

Move from “tracking” to influence engineering

Get a free AI influence profile for your DTC brand: cross‑model visibility, intent gaps, and prescriptive roadmap.

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