Research-driven Original data is the only content
Original data is the only content
AI engines cite.
Generic content has zero AEO value. AI engines already have the public stats. The brand they quote is the one with proprietary data nobody else has.
The "remove the brand name" test
Pick any paragraph from a piece of content. Remove the brand name. Could it appear on a competitor's site without anyone noticing? If yes, it is not original data - and AI engines have no reason to cite it specifically.
What counts as original data
- Internal benchmarks (e.g., "across 437 SaaS sites we audited, 68% are missing FAQPage schema").
- Proprietary research (e.g., a survey you ran with your customer base).
- Operational data (e.g., conversion rates, support metrics, capacity numbers).
- Comparative analysis only your team can produce.
Where we get original data
Two sources, layered:
- Client interviews. Before writing a cluster, we interview the client to extract operational data, internal stats, and domain-specific knowledge. This becomes the dossier the article pipeline writes from.
- Live web intelligence. Our artifact pipeline pulls from 15 sources - SERPs, Reddit, news APIs, Hacker News, GitHub, Stack Overflow - and synthesizes patterns the LLM grounds in real quotable phrases. This adds external context original to the synthesis even if not original to the source.
Why this beats generic SEO content
SEO content optimizes for search engines that compare pages by keyword and backlinks. AEO optimizes for engines that compare pages by which one offers a quotable, verifiable, attributable fact. The page with proprietary data wins by definition.