Measuring Google Results

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

• What does a quarterly reputation review look like?

  A quarterly reputation review is a structured strategic-adjustment session covering four areas of the program across a three-month window: SERP composition and AI narrative trends, Wikipedia activity, peer benchmarks, and a full work-completed inventory with key wins, risks, and next-quarter recommendations. It sits between the monthly operational report and the annual planning cycle and is typically presented to the chief communications officer and senior stakeholders.

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• How do you measure the impact of a news article on search results?

  Measuring a news article's real impact on search reputation requires tracking five signals: SERP placement (does it rank for branded queries, at what position, for how long), SERP feature presence (Top Stories, AI Overviews, knowledge panels), AI engine citation adoption (do engines start citing the article's framing across ChatGPT, Gemini, Perplexity, and the other engines AIQ currently tracks), engagement or traffic signals where available, and downstream coverage (does the article get picked up by other publishers). Page views alone do not tell you whether the article actually moved the needle.

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• What is a reputation score and how is it calculated?

  A reputation score is a single composite number that aggregates underlying signals - such as search composition, sentiment, AI accuracy, Wikipedia state, and peer benchmarks - into one figure for executive reporting. Methodology varies widely across providers, so it is best treated as a communication tool rather than a basis for operational decisions.

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