Webinar: FUTURE OF MARKETING CAFÉ
Visibility in digital marketing is being redistributed right now. Google continues to rank pages, but AI Overviews and LLMs are answering more and more questions directly — without necessarily generating a click to your website. For businesses, this means: good rankings alone will no longer be enough. What will matter is whether your brand appears in answers, whether your content qualifies as a source, and whether external signals confirm your relevance. That's exactly what we discussed in the webinar 'Beyond Rankings: Why AI Overviews and LLMs Are Redefining Visibility.'
The Key Takeaways
- Google and LLMs function fundamentally differently: good Google rankings do not automatically lead to visibility in AI-generated answers.
- Visibility in AI search is determined by three questions: Who are you? What on your website is worth citing? And who outside confirms your relevance?
- New KPIs are needed: from 'Mention' through 'Citation' and 'Recommendation' to 'Action' — visibility takes effect long before the click.
Whoever Only Looks at Rankings Today Sees Only Part of the Problem
Many companies continue to invest in SEO with a very clear expectation: better rankings, more clicks, more leads. This logic was right for a long time. But it is no longer complete.
Because search is currently changing from a link list to an answer surface. Google is increasingly showing direct answers in the SERP with AI Overviews. At the same time, LLMs and AI-powered assistants are gaining importance as new touchpoints. The result: a growing portion of visibility is created without a classic website visit being necessary. That was one of the central points of our webinar.
For CMOs and business decision-makers, this is not a purely technical SEO topic but a question of market presence, brand perception, and future demand generation.
The Real Shift: From Rankings to Answers
The new reality can be simply summarized: more answers happen directly in Google, in AI Overviews, or in LLM systems. Attention thereby becomes less plannable. And new gatekeepers stand between brand and potential customer. In the webinar, we described this as a shrinking click funnel: part of visibility remains click-based, another part shifts to direct answers without a website visit.
This is no cause for panic. But it is a clear reason to rethink visibility.
The Risk Is Not AI. The Risk Is Actionism.
There is a lot of noise around AI Search and LLM Visibility right now. New terms, new tools, new promises. Exactly here lies, from our perspective, the real danger: not in the technology itself, but in wrong priorities. In the webinar, we explicitly warned against trend metrics without real utility, hectic rebuilds without guardrails, and short-term 'AI optimization' that can damage long-term demand and brand strength.
For decision-makers, this is an important classification. Not every new AI measure is automatically strategically sensible. Right now, less hype and more careful prioritization is needed.
Google Search Is Not the Same as LLM Search
One of the most common misconceptions currently is the assumption that good Google rankings automatically lead to visibility in LLM answers.
It's not that simple.
Google evaluates documents and URLs. The classic model remains: crawling, indexing, ranking. The result is a list of results from which users click. LLMs work differently. They understand a question, retrieve relevant sources, evaluate them, synthesize an answer from them, and cite sources where relevant. This also means: rankings and the sources actually used in LLMs need not be identical, in the same order, or in the same number.
For businesses, this is strategically relevant. SEO remains important, but it's no longer enough to optimize only for the blue link list.
AI Overviews Change the Click Logic
This shift is particularly visible with AI Overviews. When the answer already appears prominently in the Google interface, the immediate need to click decreases. In the webinar, we therefore deliberately highlighted: 'Position 1' is not automatically the source of the answer. Visibility today can occur without a click.
This has direct consequences for reporting and expectation management. A decline in classic click paths doesn't automatically mean your brand is losing presence. It may also mean that visibility is being created differently than before.
New KPIs for a New Reality
When search surfaces change, KPIs must also change. In the webinar, we introduced a four-stage logic for this:
- Mention — your brand is named
- Citation — your source or URL is named
- Recommendation — your company is actively recommended
- Action — an agent performs a step with or for the user
This distinction is important for business decision-makers because it helps understand visibility not just as a traffic question. Visibility in AI systems can take effect far before the click.
What Really Matters Now: Identity, Evidence, Trust
At its core, the change comes down to three questions:
- Who are you?
- What on your website is so clear and solid that it can be cited?
- And who outside your website confirms your relevance?
Exactly these three levels increasingly determine whether brands appear in AI answers or not.
Four Action Areas Companies Should Prioritize Now
From the webinar, four very concrete action areas emerge.
1. Entity Clarity
Companies must be machine-readable and unambiguous. Clear about, imprint, and contact pages, consistent naming of services and locations, references and profiles as SameAs signals, and a clear source of truth per core topic are the foundation.
2. Answer Assets
Content is needed that qualifies as citable evidence: definitions, comparisons, decision aids, FAQ formats, how-tos, glossaries, and clear statements with evidence, data, and identifiable responsibility.
3. Trust & Mentions
External signals are gaining weight. Trade media, associations, events, expert profiles, author profiles, case studies, and verifiable references help confirm the brand image.
4. Distribution
Good content must not only exist on the website but also be findable. Public documents, PDFs, guides, slides, appropriate docs or repos, referenceable data points, and relevant external channels all play an important role. Structured data provides additional support.
What CMO Reporting Should Additionally Measure in the Future
Measurement must also mature. In the webinar, we proposed three levels:
- Google: rankings, CTR, and presence in AI Overviews
- LLMs: how well the company, the offering, and the relevant topics are understood in AI systems (including the classification and tendency of mentions)
- Brand: visibility and share of voice in answers over time
Particularly important: prompt tracking is not new rank tracking. It doesn't simply measure positions, but whether and how a model understands your brand.
What Companies Should Avoid Now
Whoever now hastily rebuilds everything around 'AI' risks missteering. That's why we also emphasized guardrails in the webinar: clear hypotheses, clean expectations, a measurement plan, a rollback plan, traceable change logs, and regular checkpoints.
This is not an end in itself. It protects marketing teams from chasing short-term trends and damaging functioning demand generation in the process.
A Pragmatic Starting Point: The 30-Day Plan
For marketing teams in particular, it's important that the entry point doesn't have to be complicated. The 30-day plan presented in the webinar is deliberately pragmatic:
In Week 1, entity and brand basics are cleaned up. In Week 2, three to five strong answer assets are created. In Week 3, distribution and external visibility are initiated. In Week 4, a baseline is measured and iterations are made from there.
Conclusion
The decisive question for companies is no longer just: 'How do we rank?' It increasingly is: 'Are we even mentioned, cited, and understood as a relevant brand in answers?'
For CMOs and business decision-makers, this is not a side note from the SEO cosmos but a strategic development with immediate consequences for visibility, demand, and brand impact.
Whoever positions itself early with a clear identity, citable content, solid external signals, and a clean measurement logic has a significantly better chance of remaining visible even in an answer-driven search world.
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