Ask AI engines why a buyer might not choose you, then turn the recurring answers into a backlog with owners. Includes a triage rubric, a backlog template and the limits of the evidence.
A positive sentiment share says how answers frame your brand, not why. Read tone, role, stated strengths and weaknesses separately with a copyable answer-review rubric.
Google AI Overviews, Google AI Mode, Gemini (app) and Gemini (API) are four different things to measure. A copyable measurement matrix shows what each can and cannot tell you.
A method for finding AI tracking prompts that repeat each other, previewing what pausing them would cost, and protecting the prompts other work depends on. Includes a copyable review checklist.
A drop or jump in AI visibility often has nothing to do with your site. Work through a ten-step checklist covering windows, filters, engines, failed runs and prompt edits.
Log the edit date, then compare the same prompts, engines and window before and after. Improvement, no change and too little evidence are all valid results.
A site audit returns a long list of findings. Sort them into four tiers by evidence, from blocked access to weak signals, and give each one a page owner.
A weekly AI visibility report template with five sections, plus a filled-in example where the headline numbers are flat and the report is still worth reading.
Follow visits from AI engines to a recorded conversion in GA4, understand what goes missing along the way, and fill in a worksheet that stops short of prompt-level sales claims.
A step-by-step workflow for wrong AI answers about your pricing or product: approve a fact, inspect the answer and its sources, review it, then fix your page or ask a publisher.
A reusable content brief template for one chosen AI citation gap: audience, questions, evidence, existing pages and an acceptance checklist, filled in once with a worked example.
An AI engine can return your page and still credit someone else. Learn what returned versus attributed means, when you cannot tell, and the checks to run in order.
Not every citation gap is worth fixing. Start from a buyer question, decide whether to update a page, create one or look at a third-party source, and score the result.
Brand visibility, citation rate, and share of voice divide by different things. One small labeled dataset shows what each number answers, plus a reporting cheat sheet.
A four-week plan for a new AI search program: set a baseline, inspect one gap, make one documented change, and review comparable results honestly. Includes a copyable checklist.
When an AI answer recommends a competitor, start with one saved answer and answer four separate questions. A copyable worksheet shows how, and what the evidence cannot prove.