Last updated: June 22, 2026
In the first two parts of this series, we examined the paradigm shift to AI visibility (LLMO) and, with the AI Discoverability Index (AIDI), introduced a new benchmark for measurability. The decisive question for you as a mid-sized company now is: how do we put all of this into practice? How does theory become a successful strategy? The answer lies in a holistic approach that encompasses both on-page and off-page measures: the integrated Total Experience.
On-page vs. off-page LLMO: two sides of the same coin
Similar to classic SEO, LLMO can also be divided into two areas [3]:
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On-page LLMO: This is about the content and technical optimization of your own domain for understanding by language models. The goal is that your content is correctly interpreted and recognized as relevant in the retrieval step of RAG systems.
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Off-page LLMO: This refers to the presence and consistency of information outside your own website. The more frequently and consistently your brand appears in external, high-quality contexts, the more likely it is that this information will be picked up by RAG systems and used in LLM answers.
Optimizing your own website alone is no longer enough.
Successful LLMO requires a network-wide strategy.
The PixelMechanics approach: integrated Total Experience
At PixelMechanics, we pursue exactly this holistic approach. We look not only at your website, but at the entire digital customer journey and optimize it for the age of AI. It's about creating a consistent, trustworthy and outstanding experience that convinces at every interaction – whether the "customer" is a human or a machine. Regardless of whether your digital presence is based on HubSpot, Joomla, AEM, WordPress or another system, we create a seamless and authoritative brand experience.
Roles in transition: employees and consultants working together
Implementing such a strategy requires a clear understanding of the roles and responsibilities. It is an interplay between your internal teams and external specialists.
| Role | Internal employees (SME) | External consultants (e.g. PixelMechanics) |
| Strategy | Define strategic goals, provide budget, contribute market know-how | Develop LLMO roadmap (crawl-walk-run), conduct AIDI audits, educate about trends |
| Knowledge | Understand customer needs and questions, provide product expertise | Train internal teams, convey best practices, translate complex concepts |
| Implementation | Create content, gather customer feedback, maintain technical foundations | Complex technical implementations (schema, etc.), set up AIDI tracking, run analyses |
| Analysis | Simple reporting, observation of direct competition | Detailed AIDI analyses, competitive benchmarking, derivation of action recommendations |
Your LLMO roadmap: the crawl-walk-run strategy
We know that SMEs need pragmatic and actionable solutions. That's why we developed the crawl-walk-run strategy to guide you step by step to AI readiness:
1. Crawl: create the on-page foundations
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Quick win: systematic analysis of the most frequent customer questions (sales, service, website search).
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Measure: Creation of a comprehensive FAQ page with clear question-answer pairs and a clear text structure (concise headings, short paragraphs, bullet points) [3].
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Technical implementation: Implementation of simple FAQ schema, ensuring machine readability (clean HTML code, alt texts).
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Goal: first zero-click visibility for long-tail queries, sending clear signals to the AI.
2. Walk: establish processes and set off-page signals
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Measure: basic AIDI audit to identify the biggest gaps.
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Process: Establishment of a content workflow that takes LLMO principles into account from the start (focus on entities, semantic proximity to user intent).
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Technical implementation: implementation of advanced schema markup for products, services and your company.
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Off-page measure: beginning to build authority through initial specialist articles or press releases.
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Goal: systematic improvement of the AIDI score, building a structured data foundation and initial external signals.
3. Run: achieve network-wide excellence
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Measure: continuous AIDI monitoring and competitive benchmarking.
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Strategy: Active building of authority through targeted placement of content and mentions on external platforms (high-quality backlinks, knowledge databases such as Wikipedia, curated UGC platforms such as Reddit or LinkedIn) [3].
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Technical implementation: building your own knowledge graph, connecting to external data sources.
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Goal: establishment as a thought leader and trustworthy source in your industry, proactive shaping of AI perception.
FAQ for SMEs (Part 3): implementation and first steps
1. Does this work with our existing CMS?
Yes. The principles of LLMO are technology-independent. Whether WordPress, Typo3, Joomla, HubSpot or another system – the decisive factors are the quality and structure of the content as well as the technical metadata. We find the right solution for implementation on every platform.
2. What one, most important first step should we take?
Start with the "crawl" step: hold an internal meeting with sales and customer service and collect the top 20 questions that your customers ask again and again. Answer these questions clearly, precisely and honestly on a central page of your website. Avoid marketing speak and deliver real added value. That is the most valuable and most cost-effective starting point.
3. How can we make sure we stay on the ball?
The AI world is evolving rapidly. An external partner like PixelMechanics can help you keep track, evaluate new developments and adapt your strategy in an agile way. Define clear responsibilities in the team and schedule regular strategy reviews.
Conclusion: shape your future proactively
The AI revolution in marketing is a reality. For the German SME sector, this holds an immense opportunity to redefine the rules of digital visibility and to establish oneself as a leading voice in one's own industry. It's not about jumping on a moving train, but about setting the course for the future. With a holistic LLMO approach, a clear roadmap and the right partner at your side, change turns from a challenge into an opportunity. Are you ready to shape your LLMO roadmap? Contact us for a no-obligation initial consultation.
References
[1] HubSpot. (2025). Best practices for answer engine optimization (AEO) marketing teams can't ignore. https://blog.hubspot.com/marketing/answer-engine-optimization-best-practices [2] Parr, Dale. (2025). AIDI: The New Standard for AI Discoverability. Taken from the provided document. [3] eology GmbH. (2025). Large Language Model Optimization (LLMO). https://www.eology.de/magazine/large-language-model-optimization
Frequently Asked Questions About the LLMO Roadmap
What is an LLMO roadmap?
An LLMO roadmap is a structured plan that specifies step by step how a company optimizes its content, data and technical foundation in order to be reliably found and cited in AI search systems such as ChatGPT and AI Overviews. Fundamentals in the AI overview.
Where do I start with LLMO?
With an assessment of the current AI visibility, the identification of relevant questions from the target audience and the optimization of the most important content into clear, structured answers. Support is provided by our AI automation agency.
How long does it take to become visible in AI searches?
Initial effects often show after a few weeks; sustainable visibility builds up over several months – depending on the starting point, topic authority and consistency of implementation.
