Blog
Strategies and research for the new era of AI-powered discovery.
Agency & Team Operations
Scope an AI visibility engagement around what you can commit to: the monitored prompt set, review cadence, content work, exclusions and reporting. Includes a copyable statement-of-work checklist.
16 min read
Agency & Team Operations
A 30-minute weekly agenda for AI search: read the week, check the alerts, test the evidence, decide, assign. Includes a copyable meeting template and a worked example.
13 min read
Agency & Team Operations
A copyable handoff for editing one existing page after an AI citation gap: the change, the evidence, the scope, and acceptance criteria an editor can check alone.
13 min read
Agency & Team Operations
A developer can only fix what they can reproduce and verify. A copyable template turns an AI site audit finding into a ticket with a URL, an observation, expected behaviour and an acceptance check.
15 min read
Agency & Team Operations
A kickoff intake that collects goals, approved facts, brand names and buyer decisions before you track anything, with a copyable questionnaire and a worked example.
14 min read
Sources & Reputation
When an AI answer repeats a wrong claim from a page you do not own, ask the publisher to fix the page. A four-part evidence packet and a copyable email make the request easy to approve.
15 min read
Sources & Reputation
An AI answer names your brand but links nothing. Use a claim-strength checklist to say what that shows, what it cannot show, and why it never reveals a training source.
14 min read
Sources & Reputation
An AI answer links your page yet recommends someone else. A step-by-step investigation and a copyable sheet separate what the answer used from what it recommended, and what that cannot prove.
15 min read
Measurement & Reporting
Compare the runs you planned with the answers you collected and analysed. A worksheet for measuring AI monitoring completeness before you read any visibility number.
15 min read
Measurement & Reporting
A chart-review checklist for AI visibility reports: denominators, missing periods, collection changes and axis choices, so a small move is not drawn as a big one.
15 min read
Measurement & Reporting
Share of voice is a ratio against the competitors you track, so it can climb while your own mentions do not move. Here is why, with a worked example and a two-metric reporting pattern.
13 min read
Measurement & Reporting
Seasonal buying questions distort an always-on AI visibility trend when they are pooled in. Tag them, give them dates and their own comparison period, and use the calendar template.
15 min read
Measurement & Reporting
There is no universal number of days. A readiness checklist shows when a new project's results move from a first observation to a provisional read to a baseline you can report.
14 min read
Measurement & Reporting
Adding prompts changes what your AI visibility rate measures. Freeze a comparison cohort, keep growing the live set, and use a copyable cohort register to report both honestly.
15 min read
Measurement & Reporting
App answers and API answers are different populations. A copyable segmentation convention and migration note template keep your AI visibility reports from mixing them.
12 min read
Measurement & Reporting
Two teams can read the same AI answers and report different citation rates. Work through answer, citation, URL and domain denominators with a worksheet that fixes the definition beside every number.
15 min read
Measurement & Reporting
Days when no AI answers were collected can bend a visibility trend without any real change. A worked example and a copyable missing-data checklist show how to choose a comparable window.
16 min read
Measurement & Reporting
A missing AI result can mean your brand was not named, the engine showed no answer, or collection failed. A run-log method and legend keep the three apart.
14 min read
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