analytics

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GEO Reporting: Proven Framework to Avoid Vanity Metrics

Most teams collect generative search observations and never turn them into a report anyone can defend. This guide sets out the reporting framework itself — precise definitions and formulas for presence rate, citation rate, share of voice and a weighted visibility index; the eleven-column data model every number is summed from; how big a sample a claim needs before it belongs on a slide; and the five-page monthly pack, from headline metrics through to the diagnosis page that drives the work. A worked example of 600 observed answers runs through every chart, alongside target setting, pipeline correlation without fake attribution, build-versus-buy tooling, the mistakes that destroy trust in the numbers, and a 90-day plan to stand the whole rhythm up.

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Brand Visibility in ChatGPT: Proven Guide to Stop Guessing

A growing share of commercial questions is now answered as prose that names two or three brands and nobody else, and most companies have no idea whether they are one of them. This guide replaces the guesswork with a repeatable method: a frozen 40-prompt set across four categories, a 0-to-3 scoring rubric, and five metrics — presence rate, share of voice, citation rate, answer position and framing. It covers how ChatGPT, Gemini and Perplexity differ, what your server logs can and cannot tell you, the levers that actually move the numbers, and a 90-day plan to get from a baseline to a trend.

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Data Quality Assessment: Proven Checklist to Avoid Bad Data

Everyone agrees the records are a bit of a mess and nobody schedules the work to find out how bad it is. A data quality assessment turns that vague unease into a scored, prioritised, costed list you can work through in ninety days. This guide covers what to measure, the six dimensions and their thresholds, the full checklist of profiling and rule checks, how to score results so they are comparable, what a first pass usually finds, how to convert findings into a remediation plan, tooling tiers, the UK GDPR obligations it satisfies, what it costs to run, and the mistakes that waste the effort.

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Dashboard Governance: Proven Fix to Stop Conflicting Numbers

Two teams quote different revenue figures in the same meeting and both are correct under their own definition. That is not a reporting bug, it is missing dashboard governance. This guide covers what the discipline actually is, the five conflict types you have to settle, how to write metric definitions people will use, the certification tiers that do most of the work, ownership and the semantic layer, change control, access, the four measures that prove it is working, a costed ninety-day rollout, what it costs to run, and the mistakes that quietly rebuild the mess within a year.

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