How a media agency handles SEO, advertising and AI search all at once

Many Norwegian businesses face the same situation: they have one agency managing Google Ads, another writing blog posts for SEO, and no one taking responsibility for how their brand appears in AI-generated search results. The result is fragmented strategies, duplicated work and missed opportunities. A media agency that actually works with SEO, advertising and AI search simultaneously does things differently. It connects data points across channels, allows insights from one channel to drive decisions in another, and ensures your brand is visible wherever your target audience searches.

The modern role of a media agency in a digital landscape

The role of a media agency has changed dramatically over the last five years. Previously, it was all about buying ad space, negotiating media rates and placing messages in the right channels. In 2026, the tasks are far more complex. A media agency must understand algorithms, interpret large amounts of data, produce content that resonates with both people and machines, and navigate a search landscape where Google, Bing and AI chatbots compete for the user’s attention.

The biggest difference from just three or four years ago is that channels can no longer be treated in isolation. A Google Ads campaign affects organic visibility. Organic content influences how AI models present your brand. And AI responses affect the click-through rate on both paid and organic results. A media agency that does not understand these interconnections risks working against itself.

From traditional consultancy to technological integration

Ten years ago, it was enough to have a good understanding of the media landscape and strong relationships with media houses. Now, technical expertise is required at a completely different level. A modern media agency must master tools such as Google Search Console, GA4, Semrush, Screaming Frog and a range of AI platforms – and more importantly: understand how the data from these tools is interconnected.

At Mediabooster, which has delivered over 450 web and marketing solutions across the Nordics, we see that the clients growing fastest are those who treat technology as an integral part of their marketing strategy, not as an add-on. This means that web developers, content producers and advertising consultants sit on the same team and share the same dashboards. Technological integration isn’t about having the latest tools, but about using the tools you have to make better decisions faster.

A concrete example: When an agency discovers that a particular landing page has a high bounce rate in Google Ads, that insight should immediately influence the SEO team’s work to improve the page. And when AI search starts prioritising a competitor’s content over yours, it should trigger a content strategy that addresses precisely the questions AI models are looking for answers to.

Why a holistic strategy is crucial for success

Fragmented strategies cost more than most people realise. When the SEO team works with one set of keywords, the ad team with another, and no one considers AI visibility, gaps appear in the customer journey. The user might see an advert, search for the brand organically, and find content that doesn’t match the message in the advert. Or worse: the AI assistant provides an answer that doesn’t include your brand at all.

A holistic strategy means that all channels work towards the same goals, with the same messages, and that insights flow freely between teams. It also means prioritising resources where they have the greatest impact. Perhaps the data shows that organic traffic converts better than paid traffic for certain product categories. In that case, you should shift resources to content production for those categories, whilst using ads to cover keywords where you do not yet have organic visibility.

This kind of strategic flexibility requires someone to have the big picture. This is precisely where a media agency with cross-disciplinary expertise stands out from specialised niche agencies. Not because the specialists are bad, but because none of them see the whole picture.

The synergy between SEO and paid advertising

SEO and paid advertising are often treated as two separate disciplines with their own budgets, teams and reports. This is a mistake. The two channels share the same search results, compete for the same users, and generate data that is invaluable to each other. When you combine them strategically, you get an effect that is greater than the sum of its parts.

Think of it this way: Google Ads gives you immediate visibility and quick data on which keywords convert. SEO gives you long-term visibility and credibility. When both work together, you can dominate the search results page, test hypotheses faster and allocate your budget more effectively.

Using search data from Google Ads for content creation

One of the most underrated benefits of Google Ads is access to search term reports. These reports show exactly which search phrases users type in before clicking on your ad. This data is worth its weight in gold for the SEO team.

Let’s say you sell project management tools and run ads on broad keywords. The search term report reveals that many users are searching for “project management tools for the construction industry” or “project management for small teams”. You might never have found these long-tail keywords through traditional keyword analysis. Now, the SEO team can create targeted content for these niche searches – content that is often easier to rank for and attracts highly qualified traffic.

The flow should go both ways. SEO data from Google Search Console shows which keywords you already rank for organically. If you rank in positions 5–10 for a valuable keyword, you can use Google Ads to ensure visibility at the top of the page whilst you work on improving your organic ranking. Once your organic ranking is strong enough, you can reduce your ad budget for that keyword and redirect the funds to new opportunities.

Dominance in search results with both organic and paid placements

Studies consistently show that brands appearing in both paid and organic results achieve a higher overall click-through rate than the sum of the two channels individually. This effect is often called ‘double exposure’, and it builds trust. The user sees your brand at the top as an advert, and again further down as an organic result. This signals authority.

In 2026, the search results page is more complex than ever. You have paid ads at the top, AI-generated answers (often called AI Overviews), organic results, “People also ask” boxes, local results and more. To ensure your brand is visible, you need a presence across several of these elements.

A media agency that understands this dynamic won’t just buy adverts and write blog posts. It will structure content so that it has a chance of appearing in AI answers, optimise for featured snippets, and use structured data (schema markup) to provide search engines with clear information about the content. All of this requires coordination between technical SEO, content strategy and advertising, which in turn highlights the value of having a single agency managing the whole picture.

Adapting to AI search and future user patterns

AI search is no longer a future possibility. It is a reality that is already influencing traffic patterns. Google has rolled out AI Overviews in an increasing number of markets, and by 2026 we will see these AI-generated answers in a significant proportion of Norwegian search results. At the same time, a growing group of users are using ChatGPT, Perplexity and similar tools as their primary search engine. For brands, this means that visibility in traditional search results is no longer enough.

Optimisation for Search Generative Experience (SGE)

Google’s Search Generative Experience, now more commonly referred to as AI Overviews, works fundamentally differently from traditional search results. Instead of listing ten blue links, Google generates a summary based on multiple sources. The user receives the answer directly in the search result and only clicks through if they want to delve deeper.

To be cited in these AI-generated answers, your content must meet certain criteria. It must be clearly structured with clear headings and paragraphs. It must answer specific questions directly. And it must come from a source that Google considers authoritative. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is more important than ever.

In practical terms, this means that your content strategy needs to change. Instead of writing long, general articles that cover everything, you should create content that provides precise answers to precise questions. Use FAQ structures where appropriate. Include author information that demonstrates expertise. And ensure that technical SEO is in place: fast loading times, mobile-friendliness, correct schema markup.

Mediabooster works with this type of cross-disciplinary approach, where content producers, SEO specialists and developers collaborate to create content that performs well in both traditional and AI-driven search results. It is a good example of why technological understanding and content expertise must go hand in hand.

How AI answers affect click-through rates and visibility

Figures from several international studies in 2025 and 2026 show that AI Overviews reduce the click-through rate on organic results by between 15 and 30 per cent for informational searches. For commercial searches, the effect is less dramatic, but it is there. Users who receive a sufficiently good answer directly in the search results simply have less reason to click further.

This does not mean that SEO is dead. On the contrary. It means that your SEO strategy needs to be adapted. You need to ensure that your brand is among the sources cited by AI models. You need to focus more on keywords with purchase intent, where the user actually needs to visit a website to complete the action. And you need to build brand recognition so that users search directly for you, not just for generic keywords.

For advertising, AI responses mean that the paid placements displayed above the AI summary become even more valuable. At the same time, you can use ads strategically to capture traffic that would otherwise be lost to AI answers. This requires you to monitor which keywords trigger AI Overviews and adjust your advertising strategy accordingly.

A media agency that treats SEO, advertising and AI search as three separate projects will always be one step behind. It is only when these three disciplines share data, insights and strategy that you can respond quickly enough to changes in the search landscape.

Data flow and shared KPIs across channels

One of the most common mistakes we see in businesses working with multiple agencies or internal teams is that each channel is measured in isolation. The SEO team reports on organic traffic. The advertising team reports on ROAS. And no one measures the combined effect of all channels together. The result is that you may have fantastic figures in each individual report, yet still not see the growth in revenue you expect.

How a media agency measures the combined effect

A media agency that takes a holistic approach establishes common KPIs that cut across channels. Instead of just looking at organic traffic or cost per click, you measure:

• Total visibility in search results (organic, paid and AI answers combined)
• Share of the search results page you control for priority keywords
• Conversion rate from search to action, regardless of whether the click came from an advert or an organic result
• Brand visibility in AI-generated answers (how often your brand is mentioned)
• Incremental value of advertising: i.e. the traffic generated by ads that you would not have received organically

This type of measurement requires data from Google Ads, Google Search Console, GA4 and AI monitoring tools to be linked together in a single dashboard. It also requires someone to interpret the data in context, not just report figures.

A concrete example: You see that organic traffic for a keyword has fallen by 20 per cent. Taken in isolation, this looks bad. But when you check, it turns out that Google has started showing AI Overviews for that keyword, and your brand is cited in the AI response. At the same time, the conversion rate from paid traffic for the same keyword has increased because the users who are now clicking are more qualified. The overall effect is actually positive, but you can only see that if you measure across the board.

Attraction and conversion in a fragmented customer journey

The customer journey in 2026 is anything but linear. A typical B2B buyer might start by asking ChatGPT a question, then Google a specific topic, click on an advert, read a blog post, go back to the AI assistant to compare options, and finally visit the website directly to make contact. This journey can span weeks.

To succeed in this reality, you need to be visible at every stage. This means your content must cover the entire spectrum, from early awareness to the late decision-making phase. Your adverts must reach users who have already interacted with your brand through other channels. And your website must make it easy to convert, no matter where the user is in the journey.

Attribution models also need to be updated. Last-click attribution gives a distorted picture of reality. If you only give credit to the last click before conversion, you systematically underestimate the value of content and organic visibility, which often play a role early in the journey. Data-driven attribution models in GA4, combined with insights from the CRM system, provide a far more nuanced picture.

A media agency that understands this fragmented customer journey will build strategies that cover all touchpoints. It’s not about being everywhere all the time, but about being in the right place at the right time with the right message. And that requires SEO, advertising and AI visibility to work as a single, cohesive system.

The way forward

The search landscape will continue to change rapidly. AI models are improving, user patterns are shifting, and new platforms are emerging. What won’t change is the need for a partner who sees the bigger picture and can adapt the strategy on an ongoing basis. Brands that continue to treat SEO, advertising and AI search as separate silos will gradually lose ground to competitors who have understood that these disciplines reinforce one another.

The key lesson is simple: data must flow freely between channels, teams must collaborate closely, and the strategy must be continuously updated based on what actually works. This requires not only the right tools, but also the right people and the right culture.

If you recognise the challenges we’ve described and are looking for a partner who works as part of your team, it might be worth having a chat with Mediabooster. With over 15 years’ experience and more than 450 solutions delivered across the Nordics, we help businesses integrate SEO, advertising and AI visibility into a single, cohesive growth strategy. Book a free digital meeting with us today, and find out how we can help your business.