llms.txt & AI Visibility Training
Personal learning · concrete examples · applying knowledge directly
llms.txt, AI crawler and AI visibility soberly evaluate and cleanly document. For SEO, content and technical website teams.
- Combinable module
- Coordinated agenda
For whom this training fits
SEO, content and technical website teams.
llms.txt is classified as a proposal. The file does not enforce crawling or citation and does not replace established indexing signals.
When another format is better
- if only a short presentation without practical reference is sought.
- if first a deep technical analysis without training part is needed
- When ongoing implementation is more important than building knowledge in a team
Content of the training
- What llms.txt can do
- AI crawlers and access signals
- Documentation pages and source logic
- Priorities over classic SEO
What Your Team Takes With You
A well-founded decision as to whether llms.txt fits your own documentation offer, including a small list of sources as an exercise.
This is how learning progress becomes visible
Participants can make a limited, verifiable decision about effort and care. They do not expect a guaranteed AI mention or a ranking win by the filename. Google’s AI search capabilities don’t require a dedicated AI text file; helpful, accessible content remains the foundation.
Practical task: Testing a llms.txt idea against actual benefits
Appropriate preparation
First, identify which system should find which information about your website more easily. Collect the relevant public sources and check their normal accessibility. An additional text file is not a solution for conflicting or inaccessible content on the actual website.
Practical task
Design a concise orientation with reliable links and compare it with sitemap, navigation and existing documentation. Check which assumptions about the use of this file are actually proven. Separate an experimental information channel from the known search engine access requirements.
Appropriate SEO training
Use AI as an assistant for research, briefings, optimization and quality assurance.
Realistically classify Generative Engine Optimization and connect it with existing SEO basics.
Understand search intention, technical basis, content quality and the most important SEO leverage.
FAQ
What does the llms.txt & AI visibility training cost?+
This special topic is a component of a coordinated training. The team prize is based on format, duration and the entire agenda; no own module prize is added.
Can the training be adapted to our examples?+
Yes. Depending on the format, examples from website, shop, CMS, search data or customer cases can be prepared.
Is the training possible remotely or on site?+
As an entry is provided remotely. Alternatively, an in-house agenda can be agreed. The price range of the in-house format and separately coordinated travel costs apply.
What do we learn from concrete examples?+
llms.txt, AI crawler and AI visibility soberly evaluate and cleanly document. Topics include what llms.txt can do, as well as AI crawlers and access signals. Together we will determine suitable next steps for your team.
Who conducts the training?+
Her lecturer is Matthias Gläßner, founder and owner of Seitenreport, senior web developer with a focus on SEO and TYPO3 lecturer at GFU. He brings more than 18 years of experience from web projects and website analyses.
Your lecturer: Matthias Gläßner
Senior web developer with SEO focus · Founder and owner of Seitenreport · TYPO3 lecturer at GFU
18+ years of experience: Matthias Gläßner has been supporting companies, agencies, associations and public agencies in web projects since 2007. His focus is on technical SEO, performance, web architecture and the further development of grown websites.
The training combines technical basics with examples, exercises and space for your questions. The topic, previous knowledge and goals of your team flow into the preparation.
Non-binding requests
Briefly mention your training topic. Matthias Gläßner will contact you personally.
Price limits: Following a common agenda