AI Search Visibility

    If AI doesn't see you as an expert, you won't be mentioned

    Google and the language models now answer on behalf of your customers. They only refer to companies they consider a credible source on the topic. Here is the problem, the solution, and how we document the impact.

    Start free visibility scan See our approach

    The problem: you're ruled out before you're seen

    Search engines and language models don't judge who is best. They judge who they have the most coverage and documentation on. Three things decide it:

    01

    Topic coverage

    The model needs to see that you cover the whole topic, not just sell a product. If the questions customers actually ask go unanswered, you don't exist in the answer.

    02

    First-hand knowledge

    Generic text looks like everything else online. Concrete experience, numbers and professional judgement from your own people are what make you quotable.

    03

    Consistency across sources

    When your name, services and claims look the same across pages and sources, you're easier to recognise as an authority. Contradictory or thin information costs trust.

    The consequence: the competitor gets named in the answer, even when your product is better. You don't lose on quality, you lose on documentation.

    This is what an AI answer looks like today

    Which suppliers should we choose between?

    The most relevant suppliers are:

    • 1. Competitor A
    • 2. Competitor B
    • Your company
    Sources:competitor-a.dkwikipedia.org
    Ask a follow-up

    You are missing from this answer.

    MySearchRadar

    4 content gaps

    We find the questions AI answers on your behalf, and where your knowledge is missing from the answer.

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    Visibility per platform

    Same search terms, measured across search and AI.

    GoogleChatGPTGeminiPerplexity
    You6134-3829-3941-23
    Competitor A55726864
    Competitor B48514439

    Example data. Run the scan for your own numbers.

    The solution: document your expertise, article by article

    There is no technical trick that makes you an expert in the models' eyes. What works is a series of articles that cover the questions your customers and AI ask, built on your own knowledge and fact-checked before publishing.

    • One article per real question, not one article per keyword
    • Your specialists are interviewed, so the content holds knowledge AI can't invent
    • Structured so both Google and language models can extract a clear answer
    • No invented numbers, customers or certifications: claims are verified
    • We recommend adding your customer cases on the platform, so articles can build on real results

    Our approach

    Four principles decide whether the content becomes something Google and AI actually refer to.

    We start with the business, not with a keyword

    Before the first article we build a profile of your business: services, audiences, USPs, tone and E-E-A-T documentation. Every piece of content is written from that profile instead of the industry average.

    Strategy before production

    Keyword and gap analysis against competitors turns into a content plan without topic overlap. Every article has a clear role: which search intent it covers and which gap it closes.

    Expert knowledge as raw material

    Targeted questions for the person who knows most in your company turn into concrete experience and opinions. That is exactly the first-hand knowledge Google and AI search engines reward.

    Fact-checking and measurability

    Claims are verified along the way, and unsupported statements are flagged instead of slipping through. Afterwards we measure rankings on your own search terms, including inside AI answers.

    How we do it

    Four steps, from measuring the baseline to documented impact.

    01

    We measure the baseline

    We scan your key search terms across Google, AI Overviews, ChatGPT, Gemini, Perplexity and Claude.

    You get a baseline showing where you're mentioned, where competitors are mentioned instead, and which platforms don't know you at all. That's the zero point everything is measured against.

    02

    We find the gaps

    Competitor and topic analysis reveals the questions nobody covers well enough in your field.

    We score topics on search volume, competition and purchase intent, and build a prioritised content plan where articles don't overlap each other.

    03

    We build the expertise

    Expert interview, GEO-structured article with quotable sections, FAQ schema and fact-checking.

    The system asks targeted questions to the person who knows most in your company. The answers become concrete first-hand knowledge in the article, which is then proofread and has its claims verified.

    04

    We measure the impact

    Publish to WordPress or export, then weekly monitoring of rankings and AI visibility.

    Rank Monitor follows the same search terms week by week across Google and the AI platforms and converts the movement into an estimated ROI, so you can see when the work has paid for itself.

    Generic AI text versus our approach

    The difference is not the model, it is what the model has to work with.

    AreaGeneric AI textMySearchRadar
    ResearchA prompt and a model guessKeyword and gap analysis against real competitors
    Source materialRewording of what is already onlineExpert interviews with your own people
    ToneThe industry averageYour brand profile, USPs and voice
    Fact-checkingManual, if someone remembersAutomated verification, unsupported claims flagged
    PublishingCopy and paste between toolsPublishing to WordPress or webhook in the same flow
    MeasurabilityNo follow-upContinuous ranking measurement, including AI answers

    When do you see results?

    A realistic timeline. We don't promise rankings, we measure them.

    1. Week 1

      Baseline measured: you know exactly where you stand on Google and the AI platforms.

    2. Week 2-4

      The first articles are published and the content plan covers the most important gaps.

    3. Month 2-3

      New pages get indexed and the first movements in organic rankings and AI mentions become readable.

    4. Ongoing

      Weekly measurements show progress per search term and per platform, so the effort can be adjusted.

    See how visible you are right now

    Run a free scan of your domain, or look at pricing first.

    Get a free AI Visibility Scan

    Enter your domain. We measure live how you stand in Google results and in AI answers for the searches your customers use.

    By submitting you agree that we process your data according to our privacy policy.

    We use your email to send the result. No spam.

    This is what a measurement looks like

    Example
    You32/100
    Competitor A68/100
    Competitor B54/100

    Example numbers. Run the scan to see your own.

    Frequently asked questions

    Why doesn't ChatGPT mention my company?
    Because the model has too little material linking your name to the topic. It refers to sources it has seen cover the subject thoroughly. Without in-depth content about your field, you don't exist in the answer.
    How many articles does it take?
    It depends on how many questions your field contains and how well competitors cover them. The content plan gives you a concrete number, usually an ongoing cadence rather than a single campaign.
    Does AI-written content count against you?
    Not in itself. What gets penalised is thin content with no new knowledge. That's why every article is built on an interview with your own specialists and fact-checked before publishing.
    How do you measure the impact?
    We track your selected search terms weekly on Google and the AI platforms and show the change in position and visibility over time, along with an estimated ROI.
    Do I have to write anything myself?
    Only the answers in the expert interview. The questions are short and can be shared with a colleague via a link. The platform handles the rest.
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