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Stay ahead in AI search

Guides and fundamentals on AI visibility, no buzzwords.

VS
Vincent Sünderhauf
Practical

After a relaunch: which information still gets through?

New URLs, copy and templates change several conditions at once. A focused post-launch review helps identify specific faults.

CP
Carsten Pohl
Practical

A monthly report that stands up to follow-up questions

What changed, what was measured, and what work follows? A useful report answers those questions without inventing a success story.

TR
Tobias Raddatz
Practical

After a model change, the chart needs an explanation

Changing the measurement system can change answers. A useful trend records that break rather than automatically crediting marketing.

FH
Ferdinand Hofmann
Practical

Bot request, citation, visit: three numbers for three questions

A bot can request a page without a person visiting it. Reports on AI traffic should label the different observations clearly.

VS
Vincent Sünderhauf
Practical

The AI quotes an old price. What next?

Wrong prices need a traceable investigation: preserve the answer, check conditions, correct the sources and observe again.

CP
Carsten Pohl
Practical

The source list is where the investigation begins

A source link may support a figure, provide a comparison or miss the point. Here is how to investigate what sits behind an answer.

FH
Ferdinand Hofmann
Company

What a useful offer page should make clear

Who an offer suits, what it costs and where its limits lie: these details help customers and make claims easier to check.

VS
Vincent Sünderhauf
Company

Share of voice in AI answers: the denominator matters

A percentage needs its reference total. AI analysis should identify the panel, competitors and weighting behind it.

TR
Tobias Raddatz
Company

A citable page starts with a claim someone can check

Data, conditions and sources make content verifiable. A format alone cannot secure a place in an AI answer.

FH
Ferdinand Hofmann
Company

When an answer does not lead to a website visit

Missing clicks do not explain themselves. Presence in answers and recorded visits should be examined together with distinct labels.

TR
Tobias Raddatz
Company

Your brand is missing from the answer. Where should you look?

A missing mention can have several explanations. A short investigation helps avoid commissioning content without identifying a problem.

VS
Vincent Sünderhauf
Company

Discovery in ChatGPT or Gemini: where to start checking

A search position does not explain an assistant’s answer. Specific questions and the sources actually returned provide a better starting point.

CP
Carsten Pohl
Company

Customer questions are more than longer keywords

Budget, requirements and intended use change a question. A useful editorial brief takes those differences seriously.

CP
Carsten Pohl
Fundamentals

AI visibility in the 2027 budget: what work are you funding?

A budget line becomes easier to assess when measurement, corrections and editorial work are specific. A growth promise cannot replace that planning.

TR
Tobias Raddatz
Methodology

What GEO means in day-to-day marketing

GEO examines how brands and content appear in generated answers. A useful starting point is a specific customer question.

FH
Ferdinand Hofmann
Technical

Checking AI access: a technical checklist without extra promises

Access rules, delivered content and technical availability can be checked. Subsequent citations need separate observation.

VS
Vincent Sünderhauf
Company

A competitor comparison needs the same questions

Questions, providers and period define the benchmark. Changing them between brands makes the comparison difficult to interpret.

CP
Carsten Pohl
Fundamentals

Why a screenshot is not a visibility measurement

Repeated answers reveal more than a single query. Useful trends need a transparent account of the measurement conditions.

TR
Tobias Raddatz
Technical

A competitor gets mentioned. What can you learn from it?

A competitor recommendation establishes an outcome. Comparing its sources turns it into something you can investigate.

FH
Ferdinand Hofmann
Methodology

llms.txt: a guide with limited implications

An llms.txt can collect useful content links. It cannot replace an accessible website or evidence that a provider uses it.

VS
Vincent Sünderhauf
Fundamentals

Local recommendations start with place and service

Local discovery needs verifiable location and service details. Analysis starts with a clearly local question.

CP
Carsten Pohl
Technical

Markets: who are you comparing yourself with?

A market combines one service with one geographic market. That definition gives a score a meaningful comparison.

TR
Tobias Raddatz
Methodology

Why the same question can produce different answers

Changing recommendations are a reason to observe repeatedly. One response does not establish a reliable comparison.

FH
Ferdinand Hofmann
Fundamentals

When two companies share a name

Clear company details help resolve identity. A familiar-sounding brand name alone is not enough for reliable analysis.

VS
Vincent Sünderhauf
Company

A mention is not necessarily a recommendation

Whether a brand appears and how it is described are separate questions. Reports need to distinguish them.

CP
Carsten Pohl
Methodology

From question to source: how an AI answer can take shape

Web-grounded answers involve several steps between a question and a source link. The visible links reveal only part of that process.

TR
Tobias Raddatz
Methodology

How many answers are enough for a comparison?

A large prompt count does not automatically make a measurement useful. Question selection, repetition and comparable conditions matter.

FH
Ferdinand Hofmann
Fundamentals

SEO and AI visibility: what else should you check?

Search optimisation remains relevant. The additional question is what a generated answer does with the information it finds.

VS
Vincent Sünderhauf
Fundamentals

Which AI bot is requesting your website?

Search crawlers, training crawlers and user-triggered requests serve different purposes. Your website checks should distinguish them.

CP
Carsten Pohl
Methodology

Structured data: do the facts behind your website match?

JSON-LD can describe companies and products explicitly. Start by checking it against what the page actually says.

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