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    30. Jan. 2026·4 min read·The Signal

    How Agencies Are Using AI Visibility to Strengthen Client Trust

    By Erlend Førsund

    How Agencies Are Using AI Visibility to Strengthen Client Trust

    Most agencies are having the wrong conversation about AI.

    They're talking about efficiency gains and content automation. Meanwhile, something more fundamental is shifting: the way buyers form opinions before they ever speak to a human.

    When someone asks an AI assistant for vendor recommendations, they don't get links. They get a narrative. A compressed judgment shaped by web content, third-party coverage, reviews, and signals the brand never consciously managed.

    Your clients have no idea what that narrative says about them. And honestly? Neither do most agencies.

    That's the opportunity.

    What clients can't see

    Traditional digital visibility is like looking in a mirror. You control the image.

    AI visibility is hearing what people say about you when you're not in the room.

    When clients discover how AI models actually describe their brand, the reaction is almost always the same. Surprise at how invisible they are. Discovery of competitors they didn't know they had. Recognition that this depends on far more than their website.

    The models are already forming opinions. The question is whether you see them before your client does.

    The window is real

    According to Future's July 2025 consumer research, over 60% of UK consumers now use generative AI for tasks they previously handled through traditional search, including product recommendations and purchase research. Nearly half started in just the last six months.

    Some clients grasp this immediately, usually the ones already experimenting with AI elsewhere in their business. Others wrongfully assume it can't be measured. Prompt monitoring now tracks visibility, sentiment, citations, and recommendations across AI models and buyer journeys.

    Here's a simple starting point: ask an AI model to recommend providers in your client's category. Then ask it why. The gap between what the client believes and what the model says is where the real conversation begins.

    One suggestion before you pitch this to a client: test it on your own agency first. If you can't explain how AI describes you, you probably don't have the credibility to explain it for others.

    Someone will fill the vacuum

    When established agencies don't take this role, someone else does.

    I'm watching a new generation of independent consultants, digital natives fluent in AI, build practices around exactly this gap. They're faster, leaner, and unburdened by legacy service models. They walk into rooms and show clients things their current agency never surfaced.

    Advisory moments that matter

    The value isn't in the data. It's in what you do with it.

    A B2B tech company with strong brand metrics discovers AI models consistently recommend a smaller competitor, citing clearer positioning. A planned brand refresh suddenly becomes urgent.

    A professional services firm learns that AI frames them as "traditional" while competitors are called "agile." Accurate, but damaging. The conversation shifts from reputation defence to narrative reshaping.

    These moments don't require dashboards. They require judgment, context, and one insight the client couldn't find themselves.

    The first conversation isn't about data. Show the client one thing they didn't know about themselves. The rest follows.

    From executor to interpreter

    Agencies have always earned trust by executing well. Campaigns delivered. KPIs moved. That model still works, but the it's no longer sufficient on its own.

    Clients now face a visibility challenge they don't fully understand. The advisors who bridge that gap occupy a different role, interpreter, not executor. Partner, not vendor.

    A small reframe that helps: don't present findings as problems. Present them as questions the client didn't have language to ask.

    The trust dividend

    Agencies who master this earn something more durable than project fees: trust that survives budget cycles and leadership changes.

    Because the client learns to rely on you for something specific: the ability to see around corners, to surface what competitors haven't noticed, to make the invisible visible.

    The advisors who wait for permission to have this conversation will find it's already happening.

    Without them.

    Author

    EF

    Erlend Førsund

    Co-founder at Periscopify, focusing on AI visibility and how generative engines interpret markets. With over 23 years of experience in B2B marketing and strategy, Erlend analyzes how brands are selected, compared, and recommended by AI systems.

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