Make public Common Crawl backlink graphs queryable for SEO teams

SEO teams, agencies and freelance SEOs (a potential market of roughly 2,000,000 buyers) currently choose between expensive proprietary backlink indexes or DIY crawling that is slow, non-reproducible and hard to integrate into programmatic workflows. Common Crawl provides a public raw crawl, but turning WARC files into accurate, canonicalized backlink graphs is time-consuming, error-prone and inconsistent across teams, which wastes analyst hours and produces non-auditable results. The product to build is a managed pipeline and API that ingests Common Crawl, canonicalizes and deduplicates links, attributes anchors and rel values, computes link quality/toxicity scores, and exposes fast, machine-readable queries, SDKs, batch exports and LLM-friendly JSON summaries. Offer incremental updates and optional focused recrawls to improve freshness for high-value customers, with tiered pricing aimed at the $3,000 ACV band and usage add-ons; be upfront that storage, compute and crawl coordination are the primary operational costs and technical risks. Provide integrations for common SEO platforms and simple webhooks so agencies can embed backlink data directly into automation and outreach workflows. This is an attractive moment: buyers increasingly prefer reproducible, explainable datasets and API-first tooling, and AI-assisted analysis raises demand for machine-readable backlink APIs—supporting a TAM estimate of $6.0B, Market Score 92/100 and Revenue Potential 86/100. To differentiate from medium-competition incumbents, lead with provenance and transparency (show raw-source links and scoring heuristics), invest in ML-driven quality improvements and focused recrawl partnerships to close coverage/freshness gaps, and compete on developer experience and cost rather than pretending parity with huge proprietary crawlers.