Fundamentals

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• What role do online reviews play in shaping AI narratives about a business?

  Reviews reach AI narratives two ways: directly, when retrieval-first engines pull from review platforms such as Trustpilot, G2, and Google reviews and synthesize recurring themes into confident summaries; and indirectly, when third-party articles and aggregators that summarize those platforms get ingested as independent corroboration. Because AI engines treat aggregated, independent review content as more credible than brand-owned content for evaluative queries, review-platform health is now a direct input to AI reputation, not a separate channel.

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• What happens when different AI models give contradictory information about your company?

  When AI engines give contradictory answers about the same brand, the cause is almost always divergent source sets, not disagreement between the models. Each engine synthesizes from a different mix of training data and live retrieval; once the underlying sources are identified and the accurate version becomes dominant across them, the engines tend to converge. Retrieval-heavy engines can reflect corrections within days to weeks; engines weighted toward their training-data baseline may take longer.

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