Why am I not mentioned by some AI models?

It's common to score well on one assistant and barely appear on another. Each model is trained on different data, refreshes on a different cadence, and weighs sources differently — so the same prompt can return three different shortlists.

The usual reasons

• Thin or missing web presence. If a model can't find consistent information about your business — a clear website, reviews, directory listings — it has little reason to recommend you.
• Recency gaps. Some models lean on a fixed training cut-off; others browse live. A brand-new site or a recent rebrand may not have propagated yet.
• Stronger competitors. When rivals have more reviews, richer content, or clearer positioning, the model fills its short list with them first.
• Ambiguous location or category. If it's unclear what you do or where you operate, you'll be skipped for prompts that specify either.

How to close the gap

Start with the model where you're weakest and look at the exact prompts you're losing — they're listed under Prompt Results. From there, the Recommendations page turns those gaps into concrete, impact-scored actions: the content, markup, and signals most likely to get that model to start naming you.

Improvements rarely show up overnight. Models re-crawl and re-train on their own schedule, so treat your score as a trend and re-check after each scan.