Make local SMBs discoverable to B2B data buyers using verified, GDPR-safe contact datasets

Local SMB contact data is frequently outdated, poorly sourced, and legally risky, creating a major pain point for roughly 500,000 sales and marketing teams that rely on high-quality lists to power outreach. Buyers face wasted spend, lower campaign ROI, and compliance exposure when datasets lack provenance or consent metadata. You could build a GDPR-safe marketplace and API that sells verified local SMB contact datasets with attached provenance and consent records, quality scores, and an audit trail for legal teams. The product would combine AI-powered entity resolution and enrichment to dedupe, infer missing attributes, and surface verticalized coverage by geography and industry. The timing is attractive: a $6.0B addressable market (500K teams × ~$12K ACV) and buyer demand shifting toward privacy-first, niche datasets make this a viable commercial opportunity. Market Score (85/100) and Revenue Potential (82/100) suggest strong upside if you can capture trust and depth in target verticals. You can differentiate by making consent and source transparency a first-class feature, delivering measurable reductions in risk and higher deliverability than traditional append vendors; however, scaling verifiable consent and achieving comprehensive local coverage are non-trivial operational challenges. Using advanced AI for entity resolution lowers cost to entry versus incumbents, but expect to invest heavily early in compliance audits, partnerships with local data contributors, and trust-building with enterprise buyers.