Executive Summary

AI answer engines are surfacing products but rarely attribute or link back. Build a structured-answer and verification API plus docs markup to force reliable citations and capture downstream traffic and leads. AI assistants and retrieval-augmented models are shifting discovery from search pages to answer cards, and the source highlights that ChatGPT, Perplexity, and Gemini are already surfacing SaaS and dev tools. Those engines rely on retrievers and cite sources when clear provenance exists, creating a new moat for vendors that publish canonical, verifiable answers. Adoption is accelerating because developer research is frequent and high intent, making an early citation layer able to capture inbound leads now rather than later. Position as a turnkey publisher and verification layer that publishes canonical, machine readable answer cards plus a rights and provenance API that assistant engines can verify. The source explicitly notes that AI answer engines are becoming a discovery channel for developer tools and SaaS products, which means structured, signed answers and signal APIs can be consumed directly by retrieval systems. Competitive advantage comes from aggregating verified citation signals across customers to build a product citation graph, plus a docs-hosted SDK and small publisher network that increases the likelihood of being selected as the authoritative source. Speed to market is achievable using existing web standards - JSON-LD, OpenGraph, sitemaps, and HTTP-based signature verification - so you can deliver value before deeper platform integrations are required.

Market Opportunity

Make LLMs cite your product - structured answers and citation API targets a $6.0B = 200,000 software/SaaS companies x $30K ACV. Assumes broad global SaaS market where companies buy marketing and discovery tooling to capture new channels. total addressable market with medium saturation and a year-over-year growth rate of 20-30% industry adoption of AI-driven discovery features and structured data usage among technical SaaS brands.

Key trends driving demand: Assistant-first discovery -- More developer and buyer research happening in ChatGPT, Perplexity, and Gemini, shifting traffic away from traditional search results; Retrieval and citations -- Retrieval-augmented approaches increase the value of canonical, verifiable sources and favor structured content; Docs-as-product -- Developer docs are now primary sales surfaces, so improvements to docs discoverability yield direct revenue impact.

Key competitors include Ahrefs / SEMrush, ReadMe, Schema App / Structured Data Providers, Diffbot.

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Make LLMs cite your product - structured answers and citation API

Executive Summary

Market Validation

Market Opportunity

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