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Guides
Practical guides to what Seenby will help you do.
Seenby is not open yet, so anything on this page about what it does is what it is being built to do.
- How Share of AI Voice is calculated, and what the number cannot tell you
A working explanation of how Share of AI Voice is computed: mentions of your brand over mentions of you plus your named competitors, across a frozen prompt set, in one week, on tagged model versions. Includes the four inputs that move the number and the limits you should state out loud.
- How to rank in ChatGPT: what actually moves a brand into an answer
ChatGPT has no ranking table, so the real question is what makes it name your brand in an answer.
- How to report AI search performance to executives without overclaiming
A reporting workflow for AI search: one headline number per period, its sample and caveat attached, competitor context beside it, and language that survives the first sharp question about non-determinism.
- How to track brand mentions in ChatGPT (and why one screenshot is not data)
A working method for tracking how often ChatGPT names your brand: a frozen prompt set, a scheduled sample, mention, sentiment and rank extracted from every answer, and the caveat that belongs next to the number.
- How to choose an AI visibility tool: eleven questions to ask a vendor
A buyer's guide to AI visibility tools, built around eleven questions about model coverage, prompt sets, score method, drift, evidence, data handling and price.
- Generative engine optimization: a practical guide for brand teams
A working guide to generative engine optimization: what GEO is, how it differs from SEO and AEO, the process a brand team can actually run, and how to measure it honestly when the answers change week to week.
- How to measure AI visibility: a working method for mid-market teams
A practical method for measuring AI visibility: the four decisions that define the number, how to sample non-deterministic answers, and how to tell a real competitive move from a model update.