{"id":110394,"date":"2026-08-17T17:16:26","date_gmt":"2026-08-17T15:16:26","guid":{"rendered":"https:\/\/ga.agency\/?post_type=blog&p=110394"},"modified":"2026-08-17T17:24:15","modified_gmt":"2026-08-17T15:24:15","slug":"digital-marketing-strategy-questions-2026","status":"publish","type":"blog","link":"https:\/\/ga.agency\/en\/blog\/digital-marketing-strategy-questions-2026\/","title":{"rendered":"Myth Busting – GA\u2019s View on Marketing\u2019s Most Talked About Questions"},"content":{"rendered":"\n

Every CMO has a version of this list already, even if it isn’t written down. It usually starts with a question from the board about the expected impact of AI, or a performance report showing two or three channels declining year over year with no clear explanation as to why.<\/p>\n\n\n\n

However, with the constant noise and updates on SEO, GEO and Paid Media coming from all directions, finding the answers to these questions can feel like an overwhelming task.<\/p>\n\n\n\n

With this in mind, we put some of the industry’s trending topics to our in-house experts to get their take.<\/p>\n\n\n\n

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<\/span>Is SEO dead?<\/strong><\/span><\/h2>\n\n\n\n

No, and the picture is more nuanced than either the AI-panic headlines or the “nothing has changed” reassurances suggest. According to Ahrefs’ Q1 2026 AI Search Benchmark Report, based on an analysis of 146 million search results, click-through rates to top-ranking pages fell 58% between December 2023 and December 2025, specifically where an AI Overview appeared.<\/p>\n\n\n\n

That sounds unambiguous, but a separate dataset tells a different part of the story. Datos and SparkToro’s Q1 2026 State of Search report, built on real desktop clickstream data across the US, EU and UK, found zero-click searches actually declined over the same period, from 24.5% to 22.4% in the US and from 22.5% to 19.6% in the EU\/UK, while organic click-through rose. AI tools’ overall share of desktop events also stayed under 2% in both regions as of March 2026.<\/p>\n\n\n\n

Both are true at once. Where an AI Overview appears, it demonstrably takes clicks that would previously have gone to the top result. But AI Overviews and AI tools still touch a small enough share of total search activity that, in aggregate, click behaviour hasn’t collapsed the way the CTR headline alone implies. Google still sends roughly 190 times more traffic to websites than ChatGPT does, according to the same Ahrefs study.<\/p>\n\n\n\n

Technical SEO, content structure and site authority<\/strong> remain the foundation that both traditional rankings and AI citation depend on. What’s changing is that being findable, being cited and being the brand an AI model already trusts are now three separate outcomes, and SEO alone only guarantees the first.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

\u201cThe data and the market prove SEO isn’t dying, but it’s changing, as it has been changing for the last 20 years. The winning strategy has always been the one that adapts and changes according to demand and to the algorithms. This is why it’s important to keep studying, testing, and learning – while continuously adapting the approach and the strategy, exactly as search itself is changing. SEO now stands for Search Everywhere Optimisation\u201d.<\/p>\n\n\n\n

Giulia Lamponi, SEO Director<\/strong><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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<\/span>Is Performance Max the only Paid Media campaign worth running?<\/strong><\/span><\/h2>\n\n\n\n

For some, Performance Max can feel like it’s dominating their Google Ads account structures and monopolising their media spend. To some extent that’s true, but that can be an intentional trade-off. Adoption of Google’s automated, feed-driven Performance Max format rose from 60% to 71% of surveyed advertisers between 2024 and 2025, an 18% year-on-year increase, according to a 2026 survey of 170-plus agency and in-house advertisers. Automation is now a standard part of managing Paid Media. The question is whether anyone is overseeing what it’s doing.<\/p>\n\n\n\n

But dominance in account structure doesn’t mean it should be the only campaign type running, and Performance Max shouldn\u2019t be treated as a replacement for all the other available options. Search, Demand Gen, Display and Video can still play different roles depending on the objective, audience and level of intent. The question isn’t which campaign type or platform wins universally; it’s whether the account structure and platform mix gives automation enough room to find incremental demand while retaining the controls needed to protect business priorities.<\/p>\n\n\n\n

Performance Max will optimise towards the goals and signals it is given. The strategic question is whether those goals and signals reflect genuine business value, or simply what is easiest for the account to measure. Left unchecked, automated bidding will spend budget efficiently against the wrong goal. This is why “we’ve automated it” and “we’re in control of it” have stopped being the same sentence.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

“Automation isn’t the risk. Letting it run unchecked without asking what it’s optimising towards, that’s the risk. Paid Media has always been a channel of testing, optimisation & data-driven analysis, and the increased use of automated campaigns should complement that, not replace it. It\u2019s better to run fewer campaigns and understand the role each plays in the acquisition funnel, than to rely entirely on the, sometimes biased, view reported in the engines”.<\/p>\n\n\n\n

Esperanza S\u00e1iz<\/strong>, Account Lead<\/strong><\/p>\n<\/div>

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<\/span>We perform well at home. Why doesn’t that translate abroad?<\/strong><\/span><\/h2>\n\n\n\n

Strong performance in one market reflects choices made for that market’s content, media and technical setup. Those choices rarely carry over automatically to another market. A German or Japanese version of a page or a Paid Media campaign that performs well in English inherits none of that authority; it has to earn its own, in SEO, GEO and Paid Media alike.<\/p>\n\n\n\n

The most common technical failure point on the technical side is hreflang<\/strong>, the signal that tells Google which language and regional version of a page to serve. Hreflang errors are a well-known problem and one of the most common ways a strong domestic SEO programme fails to travel. On the content and Paid Media side, the same principle holds: translated content and campaigns consistently underperform natively adapted ones, because tone, search behaviour and purchase triggers don’t translate word for word.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

“The instinct when a market underperforms is to question the budget. It’s rarely the answer. Local keyword and intent research, content built natively for how that market searches, and a technical setup that serves the right page to the right country – get those in place first, and what to spend becomes an easy decision”.<\/p>\n\n\n\n

Francesca Kavvadia<\/strong>, Account<\/strong> Lead<\/strong><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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<\/span>How many GEO strategies do we actually need?<\/strong><\/span><\/h2>\n\n\n\n

One, applied market by market. That’s not a contradiction. The strategy itself needs to be singular, with governance, measurement and the quality bar centralised in one place. What changes locally is the execution: content, creative and citation-worthy phrasing built natively in each language, not translated from a master version.<\/p>\n\n\n\n

GEO itself isn’t optional at this point. Ahrefs’ Q1 2026 report found AI Overview coverage varies notably by country and language, with Indonesia at 37% coverage against 21% in the US and Spanish making up 11% of AI Overviews by language. If that holds up, a brand’s AI-search exposure isn’t uniform across its footprint and a single English-language playbook applied everywhere will systematically misjudge where to invest.<\/p>\n\n\n\n

This means that the same team that understands technical SEO and content structure in a given market also owns how that market shows up in AI-generated answers.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

“A GEO strategy should be global, but never identical across every market. If you centralise the content too much, you risk creating generic or translated content that doesn\u2019t reflect what users are actually searching for. Equally, if every market creates its own strategy from scratch, you lose consistency and make it harder to measure what\u2019s working. The key is to have one common GEO strategy, with content and execution localised to each market”.<\/p>\n\n\n\n

Ester Mu\u00f1oz, Account Lead<\/strong><\/p>\n<\/div>

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<\/span>Why can’t we see clear ROI across our marketing spend anymore?<\/strong><\/span><\/h2>\n\n\n\n

The measurement stack most brands still run assumes every meaningful touchpoint produces a trackable click. Increasingly, a customer reads an AI-generated answer, doesn’t click and converts three weeks later through a branded search or a direct visit. According to a 2026 industry study reported by eMarketer, roughly three in four US marketing leaders now say their core measurement approaches, including attribution and incrementality testing, are underperforming.<\/p>\n\n\n\n

This is a measurement problem before it’s a performance one, and it goes beyond the top of the funnel. If Paid Media and Organic traffic both look softer than they should, it’s worth checking the post-click experience too. A conversion rate problem can look identical to an attribution problem on a dashboard.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

“Before we recommend cutting or assigning budgets to individual channels, we should first check whether we’re measuring each channel by its role in the wider marketing ecosystem. Customers don\u2019t search in isolated channel silos, so we shouldn\u2019t judge a channel\u2019s success in isolation either – a change in consumer behaviour should be reflected in your measurement strategy, or you risk making ineffective decisions based on unreliable data. That distinction changes the recommendation more often than clients expect”.<\/p>\n\n\n\n

Katie White, Senior Director of Paid Media & Operations<\/strong><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n

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<\/span>Do I still need an agency?<\/strong><\/span><\/h2>\n\n\n\n

Yes, but arguably for a different reason than five years ago. Anyone can now access AI tools for keyword research, ad copy or a first-draft content brief. What’s harder to replicate is the judgement that turns AI output into a business decision and the strategic oversight that keeps automated systems pointed at the right goal.<\/p>\n\n\n\n

Successful client work has never depended on execution alone. Behind every high-performing campaign sits a combination of strategic thinking, technical expertise, and experienced consultants capable of turning information into business decisions.<\/p>\n\n\n\n

The agencies that will succeed in the AI era are those treating it as an enhancement to their offering, not a replacement – freeing up their specialists from repetitive production work, so they spend more time on the parts of the job AI can’t do: interpreting what the data actually means for a client, catching the mistakes automation makes quietly and connecting execution back to a measurable business outcome.<\/p>\n\n\n\n

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Expert View <\/strong><\/h3>\n\n\n\n

“AI can accelerate delivery, but experienced consultants remain the difference between efficient execution and meaningful results. Whilst AI has the potential for agencies to move faster than ever before, it still needs an experienced guide to decide what direction to push forward in. Crafting tailored, innovative strategies, underpinned by expert guidance, to support commercial growth, are areas that agencies excel in – and what ultimately proves their value”.<\/p>\n\n\n\n

Guido Ampollini, Founder & CEO<\/strong><\/p>\n<\/div>

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<\/span>Where to start<\/strong><\/span><\/h2>\n\n\n\n
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  1. Audit what your automation is actually optimising for<\/strong>, in Performance Max and in AI search alike, before deciding whether to trust or distrust the results.<\/li>\n\n\n\n
  2. Separate your measurement problem from your performance problem.<\/strong> Before cutting a channel’s budget, check whether your attribution setup can even see the journeys that channel is driving.<\/li>\n\n\n\n
  3. Treat each market as its own dataset<\/strong>, across SEO, GEO, Paid Media and content. A single global report will hide exactly the differences that matter most.<\/li>\n<\/ol>\n\n\n\n

    If you’re trying to work out whether your SEO, GEO, Paid Media and measurement foundations are ready for what AI has changed, that’s the conversation to have with us.<\/p>\n\n\n\n

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    <\/span>Sources<\/strong><\/span><\/h2>\n\n\n\n