An assistant will not recommend a brand it cannot verify. Recommendation is a confidence problem, not a marketing problem.
1. One consistent identity
Same name, same category description, same locations, same URL everywhere. Contradictions reduce confidence.
2. Independent corroboration
Reviews on platforms the model already trusts, directory profiles, podcast or press mentions. Volume matters less than independence.
3. Comparison and trade-off content
Publish honest comparisons including who you are not right for. This is the material assistants quote when a user asks for a recommendation with conditions.
4. Machine-readable facts
Pricing, shipping regions, guarantees and specifications in structured data, not only in images or PDFs.
5. Freshness
Update key pages on a schedule. Stale pricing or discontinued products erode trust quickly.