Enable AI answer engines to cite your SaaS - generative SEO and metadata

Enable AI answer engines to cite your SaaS - generative SEO and metadata targets a $6.0B = 200,000 SaaS companies x $3,000 ACV. Buyer count assumes global SaaS vendors and product teams who would pay for discovery/attribution tooling at a marketing/technical tool price point. total addressable market with medium saturation and a year-over-year growth rate of 30%+ estimated annual growth in conversational-discovery and RAG adoption among developer and product teams.

Key trends driving demand: Conversational search adoption -- users increasingly ask LLMs product and tool questions instead of traditional search, creating a new discovery surface.; RAG and citation support -- retrieval-augmented generation and citation UI in answer engines increases value of canonical machine-readable sources.; Product-led growth focus -- developer-facing SaaS increasingly prioritizes self-serve discovery and in-context referrals during dev workflows.; Knowledge-graph and structured-data investment -- platforms and enterprises are investing in canonical knowledge bases that can be consumed by LLMs..