How AI Search Works

14 answers

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

What is the role of news aggregators and syndication in AI search results?

Wire and aggregator syndication amplifies a single source across many domains, increasing the likelihood that engines show that version. The amplification works for good content and bad equally.
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What is the role of corporate blogs in influencing AI search results?

Corporate blogs build topical authority and become AI-citable when they are substantive, regularly updated, well-structured, and authored by named experts with bio context.
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What does it mean that AI models are citing us wrong?

It means the engine is confidently asserting something inaccurate. The work is to identify the specific source feeding the error and remediate at that source, then track until the correction propagates.
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How do we control what ChatGPT says about us?

Not directly. We influence the sources ChatGPT relies on, monitor what it says continuously through AIQ, and intervene when the narrative drifts from accurate or fair.
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How do AI search engines handle time-sensitive vs evergreen queries about brands?

Time-sensitive queries push the engines into retrieval-first behavior, pulling live web pages and news. Evergreen queries draw more from training data and Wikipedia. Strategy has to match each pattern.
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