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All DiscoveredBy blog posts on AI Search Strategy, newest first. Our blog covers AI search visibility and generative engine optimization.
Article age is a weak reason to rewrite a page. Here is a method and a copyable register for ranking refreshes by outdated facts, source changes, citation trends and buyer importance.
15 min read
Pricing, features, support and announcement pages drift apart. A manual reconciliation register shows which statements conflict, which page wins, and what to fix before AI engines repeat the mess.
13 min read
Split quarterly AI search goals into deliverables you control and outcomes you only observe, then pin each to a population, baseline and decision rule. A copyable goal sheet included.
16 min read
Separate what AI engines say about you, what visits you can measure, and what you cannot, then use a copyable decision memo to ask for a funded first program.
13 min read
A null result is still a finding. Learn how to write up an AI search experiment that showed no clear change: hypothesis, method, uncertainty and learning, with a copyable template.
14 min read
Assign who verifies claims, who checks the evidence, who resolves disagreements and who approves. A copyable review rubric and sign-off log for AI-drafted marketing content.
15 min read
Every product, market, persona and language multiplies your tracked prompts. A slot-ledger worksheet shows how to spend a fixed prompt budget on the buying decisions that matter most.
14 min read
Track the same prompt for a city and its country, then read the gap only where each engine actually received the city. A copyable location-testing plan shows how, including fallbacks.
13 min read
How to track AI visibility in several languages: write each prompt natively, review it, keep the setup fixed, and report every language as its own population.
15 min read
Track buyer personas separately from a General baseline, compare like with like, and read persona results as simulated audience context. Includes a copyable audience worksheet.
12 min read
Turn Search Console queries into a shortlist of AI tracking prompts. A keyword is not a buyer's question; a mapping sheet shows how to convert one and where the demand figure misleads.
15 min read
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.
15 min read
Build a starter prompt worksheet by buyer question, intent, stage, audience and location, with inclusion rules and example prompts you can copy.
15 min read
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.
14 min read
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.
14 min read
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