SMX 2026 Recap: The most important SEO, AI, and marketing insights from the conference
13.03.2026
06 min
eologyeo:newsSMX 2026 Recap: The most important SEO, AI, and marketing insights from the conference
SMX(Search Marketing Expo) is one of the most important international conferences for SEO, SEA, digital marketing, and search innovation. Every year, experts from the search and marketing industry meet here to discuss the latest developments in Google, AI search, performance marketing, and content strategies.
SMX Munich 2026 took place at the International Congress Center Munich (ICM) and once again brought numerous international speakers to the stage. This year’s focus was primarily on AI search, brand visibility, new SEO strategies, and the future of marketing KPIs.
eology team at SMX 2026
In this recap, you will find the most important insights from selected presentations—summarized in a compact format.
Lost traffic, new consumer behavior, alternative channels: Content Strategy 2026
Dr. Beatrice Eiring on stage and the eology team as supporting speakers at SMX 2026
In her presentation, Dr. Beatrice Eiring showed that traffic losses are often only a symptom. The real change lies in new consumer and search behavior.
More and more people are using AI systems, social media, or platforms such as YouTube to gather information before making a purchase decision. As a result, a large part of the research is shifting to before the website visit.
A common problem is that much of the content focuses heavily on traffic and reach, while important elements of the sales process are missing—such as objection handling or concrete decision-making aids.
Key insights for content strategy
For a successful content strategy in 2026, content must be more closely aligned with the customer journey and purchasing motives. This includes, for example:
Convenience
Price/cost-effectiveness
Prestige
Safety
Technology and innovation
At the same time, multi-channel content continues to gain importance. YouTube and short-form content in particular are increasingly being integrated into AI responses and AI overviews.
The most important point: AI does not discover new brands—it selects from known entities.
AI in practice: Why successful deployments require trust
In his presentation “Beyond the AI Hype: Hard-Won Lessons from Enterprise Deployments,” Boaz Ashkenazy (Augmented AI Labs) showed that there is a huge difference between AI demos and real-world applications.
Many companies build impressive prototypes—but they often fail to actually use them in their businesses.
Key findings
Trust is the product – Trust determines the success of AI tools.
Accuracy alone is not enough – Users must also understand when a model is hallucinating.
Guardrails must match the risk – e.g., through sources, citations, or control mechanisms.
Another important factor is the so-called adoption paradox:
Even tools that work are not used if they do not offer clear added value in everyday work.
Two factors determine adoption
Relief: Does the tool reduce stress, time, or risk?
Agency: Does the tool make users feel more powerful?
The most important point: AI does not discover new brands—it selects from known entities.
New SEO strategies: How Google really thinks
Carolyn Shelby explained in “Inside Google’s Head” why classic SEO strategies are becoming less and less effective. The most important point: Google is not changing direction—it is just accelerating. Google’s goal: Reduce friction
“Friction” describes the number of steps required to get an answer. Google is continuously working to reduce these steps.
The result:
AI Overviews
Direct Answers
Fewer clicks on websites
A decisive change: It is no longer entire pages that compete with each other, but individual content fragments.
New SEO best practices
In order for content to be extracted by Google, it must be clearly structured:
Clear headings
Short paragraphs
Lists
Declarative statements
Query-oriented formulations
The most important point: AI does not discover new brands—it selects from known entities.
PPC in the AI era: Using automation correctly
In his presentation, Aaron Levy (Optmyzr) analyzed what really works in Google Ads at the moment. Many marketers find PPCmore complex rather than simpler due to automation.
The biggest challenges
Data quality
Data protection
Lack of integration
Rising costs
Skill gap in the team
Key performance learnings
Bid strategies
At least 50 conversions in 30 days for reliable automation
For budgets under $10,000, maximize strategies work well
Responsive Search Ads
Successful patterns:
2+ RSA per ad group
No excessive use of pinning
Description length of 51–60 characters
Title with 21–30 characters
PMAX and automation
Performance Max remains controversial:
Advantages:
High level of automation
Good scalability
Disadvantages:
Little transparency
Little control
The most important point: AI does not discover new brands—it selects from known entities.
AI monitoring: Why traditional SEO KPIs are no longer sufficient
Thomas Pelham (OtterlyAI) and Mathias Ptacek (Rankscale) addressed the question of how visibility can be measured in AI systems.
A surprising result: Less than 1% of users visit websites directly viaChatGPT. AI search therefore functions more like brand marketing than traditional SEO.
Key KPIs for AI visibility
Brand Coverage
Share of Voice in LLMs
AI Bot Traffic
Sentiment of Responses
Number of References to a Brand
The focus is thus shifting from traffic optimization to brand presence in AI responses.
Digital PR is becoming a decisive ranking signal
Shannon McGuirk demonstrated that digital PRis becoming more important than ever in the AI era.
Why?
Links = Trust Signals
Mentions = Entity Validation
Experts = Credibility Anchors
Content that is frequently cited by LLMs is particularly relevant.
Formats with high AI visibility
Expert commentary
Data-based studies
Reviews
How-to guides
Surveys
The most important point: AI does not discover new brands—it selects from known entities.
New marketing KPIs: Why clicks no longer count
Jono Alderson put forward a provocative thesis: “Clicks never measured what really mattered.” SEO dashboards often measure interface artifacts such as rankings or traffic—but not the actual impact.
The new evaluation model
Future-oriented marketing KPIs should cover six areas:
Experience Integrity
Loading times
Usability
Task completion rate
Physical availability
Presence on platforms
Marketplaces
Structured data
Mental availability
Brand awareness
Brand search share
Distinctiveness
Recognizable brand assets
Visual identity
Reputation
Sentiment
Consistent brand story
Commercial proof
Price resistance
Genuine demand
The most important point: AI does not discover new brands—it selects from known entities.
LLM crawlers: New challenges for technical SEO
Amanda King highlighted the increasing activity of LLM bots such as ChatGPT, Claude, and Perplexity. An interesting ratio: 1,500 crawls lead to an average of only one visit to the website.
Important recommendations
Do not block bots across the board
Analyze log files regularly
Make content quick and easy to access
The most important point: AI does not discover new brands—it selects from known entities.
Brand Entities: Why Brands Are Becoming More Important Than Keywords
Emily Grossman explained why search is evolving from “strings to things.” This means that search engines increasingly understand content through entities rather than keywords.
For a brand to be recognized, the following questions must be clearly answered:
What is your brand?
What does it stand for?
What topics is it associated with?
Where is it mentioned?
Measures for entity SEO
Consistent brand description
Structured data (e.g., SameAs)
Digital PR
Strong “About” page
The most important point: AI does not discover new brands—it selects from known entities.
SMX 2026 reveals a new reality for search
SMX 2026 has made it clear that SEO and marketing are undergoing a profound transformation.
Key trends:
AI is fundamentally changing search engines
Brand visibility is becoming more important than rankings
Content must be extractable and structurable
Marketing KPIs are shifting from clicks to brand impact
For companies, this means that SEO is once again evolving toward holistic marketing. If you want to remain visible in the long term, you need to integrate your brand, content, PR, and technical SEO more closely with each other.
Antonios Smyrnaios is part of the SEO department at eology. With previous experience in content creation, he analyzes clients' websites on a content and technical level and develops recommendations for measures to increase visibility in search engines.
On May 5 and 6, 2026, it will be that time again: The OMR Festival in Hamburg brings together the international digital and marketing industry. We will be there with a team of experts to share our knowledge about AI visibility. Learn more here. ... Continue readingAI sees everything. Does it see you too?