Why AI Isn't Citing Your Website

Engines weight sources by credibility: domain history, external references, author identity, factual consistency. A young domain with no third-party corroboration starts near zero. Build the corroboration first — reviews, community presence, mentions in publications engines already cite — and your own pages inherit trust from the neighborhood.

Models reason about entities, not URLs. If "your brand" isn't a well-defined entity — consistent name, clear category, corroborated facts across the web — engines can't confidently attach claims to you. Consistent naming, an about page with plain facts, schema markup, and presence in entity databases make you legible.

Engines cite pages that contain something citable. Original data — benchmarks, surveys, measured results — is the strongest citation magnet, because it's the one thing an engine can't synthesize from elsewhere. One real statistic outperforms ten thousand words of synthesized advice.

Citation requires extraction: the engine must find your claim, bound it, and attribute it. Clear headings, direct answers near the top, tables, FAQs, and Article/FAQ schema all raise the odds. Dense narrative prose buries claims that clean structure would surface.

You can't fix what you can't see. Seeqly's Citation Audit shows which of your pages each engine has fetched, how recently, which blocks got cited — and which competitor sources are winning the citations you're missing.