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Practice 02 · Market Intelligence

Be the answer, not a search result.

Buyers ask ChatGPT, Perplexity, and Google AI who is best. The answer they get is not random. It is assembled from public data, and it can be engineered honestly. That is this practice: what the machines say about you, and what the market data says to you.

Offer · Market Intelligence

AI Visibility

We make you the name AI engines return when buyers ask who is best at what you do, then we keep it monitored. Audit, content, schema, monitoring. White-hat only.

Proof of method: in one day, for $0.35 in API cost, we swept 40 search terms across a national market, resolved 213 candidate companies through public registries, and had every match checked by an adversarial reviewer that rejected the wrong ones. The engine that did it is cached, so re-runs cost close to nothing.

Reports from 2 000 kr. Monitoring from 1 000 kr per month.

Offer · Market Intelligence

Market & Data Intelligence

We turn scattered public and internal data into one decision-grade index or reconciled report. Cheap high-fidelity sources first, AI only for the residual gap.

We indexed 26,976 public funding records from 100+ providers into one searchable platform. For a NOK 2.1bn food brand, we reconciled SKU-level distribution against negotiated rates for the Coop Norge key account and reported it to the sales director and C-suite.

Offer · Market Intelligence

Pipeline Engine

Your sales team gets a ranked, scored list of prospects worth calling. Scraping collects, a scoring model ranks by value and fit, and any outbound drafts wait in an approval queue. Priced against the outcome, not the hours.

We built the lead-generation and qualification engine for an NTNU spin-out backed by Antler. The draft-into-approval-queue pattern runs in production today.

Questions

Questions buyers ask.