Score buyer fit first, then decide who to work

Follow-up fails when the list is wide but the offer is narrow. Keyword filters and job-title guesses still let peers, vendors, and wrong verticals into the batch. AI lead scoring asks a sharper question: given what you sell, is this company the kind of buyer that would actually purchase it?

Scoring before follow-up protects time and credit spend. You enrich and template only accounts that pass the fit test — not every row from an industry export.

Define products under My Business → Products, run Prepare with AI, and optionally warm up target countries so directory companies are ranked for your ICP in the background. In Lead Search, use those ranks and run live AI company validation on selected companies — 1 credit per score on paid plans.

The model judges buyer identity against your product ICP, not whether their homepage mentions your brand. AI company validation and Prepare with AI and warm up product scores walk through both paths.

• Free accounts can search and save to CRM; AI scoring unlocks on upgrade
• Warm-up prepares markets; live scores judge selected rows
• Product language quality directly affects score accuracy

Credits meter AI scores and enrichment processing; Local Finder and company search on paid plans do not burn credits. Soft monthly caps on processing and sends protect cost and inbox reputation — contact sales for a commercial plan.

Platform credits for AI validation and enrichment explains what credits buy inside the software.

Prepare the product, start in Lead Search (or Local Finder when place defines the buyer), score keepers, enrich only the strong fits, and save to CRM. Activity stays on your account so you can review the pipeline before the next batch.

For the full motion including enrichment, read Find → Validate → CRM → Send.