Why your product isn’t getting recommended
ChatGPT and other LLMs don’t browse like humans. They retrieve information, interpret meaning, and select a small set of relevant options. If your product data lacks structure, clarity, or use-case alignment, the model never considers it in the first place.
What you can change
Three things move the needle: structured product attributes (ingredients, dimensions, use cases, certifications); clear, machine-readable copy that aligns to real customer intent; and consistent signals across retailer pages, your owned content, and partner data sources.
How AISO solves it
Fyndability’s AISO framework moves products through four stages—Inclusion, Interpretation, Eligibility, Selection—so brands aren’t excluded before consideration even begins. CitePulse then monitors your inclusion rate over time.