AI visibility built on clearer evidence, entities and source material.
We establish what selected answer surfaces currently say, which sources appear and where your own information becomes ambiguous. Then we improve the material you control and repeat the same review under documented conditions.
Which agency fits a growth challenge in Amsterdam?
A useful answer connects expertise, services and verifiable proof to the user's question.
ChatGPT
AI Overviews
Gemini
Perplexity
Claude
Meta AI
Huawei
DuckDuckGoFor brands that want evidence before chasing AI mentions.
Answer systems change, personalize and choose their own sources. A responsible program separates what can be observed from what your website and communications can realistically improve.
A good fit often starts with inconsistency. Your brand is described differently across answer surfaces, confused with another entity, or supported by pages that lack clear evidence and ownership.
It also helps when teams collect screenshots or mentions but have no repeatable question set, source record or shared owner across SEO, structured data, public profiles and reputation.
Improve the source material, not the screenshot.
We do not optimize a single generated answer. We improve the clarity and support behind the facts an answer system may need when it evaluates a question about your market.
Question baseline
Define representative research and buying questions, then record the answer, brand presence and visible sources under stated conditions.
Entity consistency
Align names, services, locations, people and organization details across the pages and profiles you control.
Answer-ready pages
Make definitions, comparisons, limitations and next steps easy to locate without stripping away necessary context.
Evidence and authorship
Connect important claims to verifiable support, accountable authorship and dates where recency affects the answer.
Supported structured data
Use schema that accurately describes visible page content and remove markup that claims more than the page provides.
Source and change log
Track external references, content changes and repeated observations without treating correlation as proof of causation.
A repeatable review, followed by controlled improvements.
The method records the question, surface, locale, date and visible sources. That makes later comparisons more useful while acknowledging that generated responses can vary.
Define questions and surfaces
Choose the markets, languages, question set and answer products that matter, then record the starting state and its limitations.
Improve the underlying material
Resolve entity ambiguity, strengthen useful page sections, support claims and align structured data with visible content.
Re-check and interpret carefully
Repeat the documented review, compare brand and source patterns, and separate observed changes from unsupported causal claims.
Evidence you can revisit
The output is a documented baseline and a prioritized content plan, not a guaranteed citation package.
- Question, market and answer-surface set
- Baseline answer and visible-source record
- Entity and organization consistency review
- Priority-page answer and evidence map
- Structured data review
- External source and profile observations
- Repeatable comparison report with limitations
Questions to answer before investing in AI visibility
The useful questions are about measurement, control and readiness. We make those boundaries explicit before recommending new content or technical work.
What will you measure before changing the website?
We agree on a representative question set and record whether the brand is named, how it is described, which visible sources are used and where the answer is incomplete or inconsistent. We also record the surface, locale, date and review limitations.
Which answer platforms can be included in the review?
The set is chosen for your market and available access. It can include ChatGPT, Google AI Overviews and Gemini, Perplexity, Claude, Meta AI, DuckDuckGo and relevant Huawei surfaces. Coverage and repeatability differ, so the report states what was actually checked.
What can you change, and what remains outside your control?
We can improve your pages, evidence, entity consistency, technical access and supported structured data. We cannot control whether an external system mentions, ranks or cites a source, and we do not present those outcomes as guaranteed.
When is AI visibility work premature?
If important pages cannot be crawled or indexed reliably, the offer is unclear, organization details conflict or claims lack support, those foundations should come first. In that case the initial plan may be primarily SEO and content work.
