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 sentiment analysis and how does it apply to search results?

  Sentiment analysis classifies content, a URL, an article, or an AI engine response as positive, neutral, or negative. In SERP reputation work it is a tracking signal: each ranking URL on a priority query is scored, the aggregate page-one sentiment is tracked monthly, and AI engine responses are scored per engine, with trend lines over time showing narrative drift. Sentiment is a leading indicator, not a goal. The work is on the underlying narrative, not on the score.

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• How do you report reputation management results to a board or leadership team?

  Board-level reputation reporting should fit one page: current posture against peers, top risks, work completed, KPI movement, AI narrative trend with examples, and three to five recommendations or decisions needed. Visuals (SERP composition charts, share-of-voice graphs, engine comparison views) carry the summary more efficiently than prose; full operational detail belongs in an appendix.

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• What is geographic SERP tracking and why does it matter?

  Google personalizes search results by country, city, language, and device, so the same brand query can produce materially different results in New York, London, and Frankfurt. Multinational programs need per-market tracking through GeoSearch and IMPACT™ to capture each market's actual first impression.

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