Perplexity is most useful when you treat it as a source discovery tool, not as the final authority. For competitor research, the goal is not a polished paragraph. The goal is a table of claims you can verify.
Start with comparison dimensions
Before asking which product is best, define what matters: quality, pricing, export options, language support, privacy, commercial rights, API access and team features. Ask Perplexity to suggest dimensions, then search each dimension separately.
Keep a verification table
Use columns for product, claim, Perplexity summary, original source URL, publication date, verified conclusion and confidence level. Official docs and pricing pages should rank higher than blog posts or social comments.
Record uncertainty
If you cannot find a clear answer on commercial terms or data retention, write that down. Unknowns are decision-making information. Do not let AI fill gaps just to make the table look complete.
Turn evidence into a memo
Only after the table is verified should you ask ChatGPT or Claude to write an executive summary. This produces a much more reliable report because the model is summarizing your evidence, not inventing a ranking from memory.