How do I get my products recommended by ChatGPT?+
Product attributes that decide the match — sizing, materials, compatibility, certifications — exist in images, widgets or variant selectors rather than readable text and structured data. The practical answer is to diagnose before acting: audit attribute coverage across product templates against the questions buyers actually ask, then move decisive attributes into on-page text and Product schema. Your products get named in shortlist answers with the correct attributes attached, and the collection pages behind them capture the follow-up click.
How long does this take to show results?+
Long-tail and comparison questions typically move within 30–90 days of the fix shipping. Broad category questions take longer because they depend on corroboration accumulating outside your own site, which you influence but do not control.
What does it cost?+
The forensic audit is $4,500 and includes the full diagnosis plus a prioritised 90-day plan you can execute yourself. Ongoing engagements are scoped per brand. Implement our plan and if you do not see movement in 3–6 months, we refund our fees in full.
Can we do this in-house?+
Often, yes — and the audit is deliberately written so you can. Most teams have the capability but lack the diagnostic layer and the measurement, which is what makes the work land on the right pages in the right order.
How do you measure success here?+
Product mention count across a fixed recommendation probe set. Baselines are captured before anything ships and reported by segment, so improvement is attributable rather than assumed.
Is this different from regular SEO?+
It shares the technical groundwork but changes the target. Classic SEO competes for a position in a list of links; this competes to be the source a model uses and names, which rewards explicit data, honest qualifiers, named expertise and independent corroboration.