Compare answers. Keep the context.

Choose the comparison you want to make.

Compare the same buyer question across providers to understand differences between their recommendations. Compare captures from one provider over time to investigate a change. These are different views of your visibility, so keep their conclusions separate.

In Echuno, open the saved Answers library, filter to the question and providers you need, and select two saved answers for comparison. Read their collection details before interpreting the brand differences.

• Across providers: use the same question wording and captures from a similar period.
• Over time: use the same provider and check whether the question was edited.
• For either view: distinguish a saved answer from a pending or failed collection.

Check the conditions behind each answer.

Review the provider, collection time, question revision, and recorded chat mode. Browser answers and API answers can differ in available tools and product behavior. An unknown setting means it was not recorded; it does not mean the two captures used the same setting.

Temporary chats reduce the influence of earlier conversation history. They do not prove that location, account configuration, model version, or provider behavior was identical. Avoid describing two captures as a controlled experiment when those conditions are unknown.

Read mentions and positions separately.

Start with brands whose mention status differs between the two answers. Open each evidence quote in the saved response and check whether the provider recommended the brand, compared it, or only referred to it in passing.

Then inspect recommendation positions. A smaller explicit position is earlier in the recommendation order. “No explicit rank” means the answer did not provide a clear position for that brand. It should not be treated as last place or zero.

Missing assessment data also needs its own interpretation. It may mean analysis is pending or unavailable, rather than that a brand was absent from the text.

Use the complete answer to check the summary.

Summary differences help you find what to read. The complete saved answer shows qualifiers, audience constraints, and source links that a position or sentiment label cannot capture.

Use side-by-side reading on a wide screen, or stacked reading for longer responses. Follow evidence links back to the relevant quote. If the analysis seems wrong, record the discrepancy rather than accepting the label as proof.

• Is the brand recommended for your actual use case?
• Does the provider cite a relevant, current source?
• Is the order explicitly ranked, or simply a list of options?
• Would a buyer understand your product accurately from this answer?

Turn one difference into a follow-up.

Write down the observation, the supporting quote, and a question to investigate. For example: one provider describes an outdated feature; check which source it cites and whether your own product documentation states the current feature clearly.

Use later scheduled captures to see whether the pattern repeats. One favorable answer does not establish a trend, and a content update does not guarantee that an AI provider will discover or recommend your brand.