
How to interview your target audience with AI, and what it actually reveals
The seven questions ready to copy, two anonymized real-world examples, and why a US persona flops in Germany.
Prompt monitoring, GEO, BIQs, agentic commerce: the vocabulary is new, the questions are old. Who gets found, who gets quoted, who gets bought. Educational guides, no hype, sources over superlatives.

The seven questions ready to copy, two anonymized real-world examples, and why a US persona flops in Germany.

Four principles of AI brand relevance, proven live on a digital agency and with real 60-day ROI. How a smaller business applies them without IKEA's budget.

Research, comparison, decision: which questions come when, which mistakes cost trust, and why phase one increasingly happens inside AI assistants.

Shops have product feeds. Services live in marketing prose that AI cannot quote. Service entities, transparent pricing and provable case studies.

Discount tricks, fake authority, prompt injection: the five patterns users actually try, and the protection layers that hold.

GPTBot, ClaudeBot and PerplexityBot see raw HTML, not what your browser assembles. Three ways to test your own shop in minutes.

Complete Product and FAQ JSON-LD examples to copy, the four most common mistakes, and what to do when hand-editing stops scaling.

Consistency, verifiability, readability, freshness and what others say about you, Reddit included. Check in 60 seconds whether AI can read you at all.

Unproven superlatives get skipped or quoted with distance. Test prompts you can run yourself, and the fix: prove it or cut it.

Answer engines pass on sources that answer questions with structure, evidence and steps. What that means for your pages, with before-and-after examples.

App-store chatbots, enterprise search or DIY: a fair comparison and the four criteria that actually decide the purchase.

Baseline before promises, one answer for each stakeholder, and a two-week pilot that turns the discussion into data.

A six-step workflow: collect, cluster, answer once with a source, publish where buyers decide, close the loop, measure. The special cases stay human.

Prompt instructions alone do not prevent hallucinations. Four structural properties do: source binding, a review gate, drift checks and honest handover.

AI agents research, compare and increasingly buy. Most of them never execute your JavaScript. How to be readable anyway.

Enterprise brands have agencies for this. The honest answer for everyone else: when it pays off, what it costs and where to start.

What a DPA covers, why audit logs matter, where third-country transfers hide, and which questions to ask any AI vendor.

ChatGPT answers buying questions every day. Prompt monitoring makes visible whether those answers mention you, and tracks it over time.

Search engine optimization got you ranked. Generative engine optimization gets you quoted. What carries over, and what does not.

The buying question, answered from your own material, with sources and a review lifecycle. The unit AI engines can actually quote.
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