SEO AND AI SEARCH
So search engines find your website and AI systems quote it.
Modern search systems increasingly return direct answers instead of plain link lists. Being named there takes two components: a website that is technically flawless to read (SEO) and content that is structurally quotable (Generative Engine Optimization, GEO).
AI-generated image
How it works
From search term to AI answer
1 · The query
Queries increasingly come as complete sentences and concrete requirement profiles instead of single keywords.
2 · The source search
The AI system falls back on classic search engines in the background. Content without search engine indexing is not considered in the AI answer.
3 · The filtering
A few reliable sources are filtered out of the search results. Precise answers and verifiable facts are preferred.
4 · The output
The AI summarises the result and usually names three to four providers. A second page of results does not exist.
Search engine optimisation remains the necessary basis. Without a top position in the search results, the AI lacks the data for a mention.
Technical structure
Machine-readable signals of a website
H1 · H2 · H3
Logical heading hierarchy
Algorithms evaluate the document structure first. Precise answers placed directly in the headings are picked up first.
Schema.org · JSON-LD
Structured data
Company data, range of services and FAQs are stored in standardised code, without affecting the visual layout.
llms.txt
System file for AI crawlers
A central text file in the root directory that provides language models with core data and site structure directly.
These technical factors determine whether a page qualifies as a citation source. We analyse and implement them systematically.
Terminology
GEO.AEO.LLMO.
- GEO
- Generative Engine Optimization: optimisation for the output of generative AI systems.
- AEO
- Answer Engine Optimization: focus on direct answer formats in search engines.
- LLMO
- Large Language Model Optimization: alignment with how large language models work.
All three terms describe the same technical task. We use GEO as the central umbrella term for clean data structures, verifiable facts and a clear text structure.
Scope of services
Measures and test criteria
| Phase | Measure implemented | Technical proof |
|---|---|---|
| Technical base SEO | Optimisation of loading times, site architecture and indexability as the basic requirement for crawlers. | Error-free status in the Google Search Console and green metrics for the Core Web Vitals. |
| Structured data | Integration of Schema.org standards (JSON-LD) for the unambiguous assignment of company and service data. | Validated proof in Google's official testing tool for structured data. |
| Quotable texts | Creation of self-contained text sections, direct answers to specialist questions and verifiable facts. | Identifiable passages appear as source references in the answers of the AI services. |
| Crawler control | Targeted release and control of specific AI bots via robots.txt, plus provision of the llms.txt system file. | The address your-domain.at/llms.txt is live, and the robots.txt carries the bot directives. |
| Monitoring & records | Monthly, systematic test queries in ChatGPT, Perplexity, Google and Claude to record the mentions. | Regular delivery of detailed query records in full text. |
SEO agency for companies in Graz and Styria
Based in Villach, we look after companies in Graz and across Styria. Technical optimisation happens directly in the website's source code; coordination runs by video conference or on site.
For a first meeting in person or for strategic coordination, we arrange appointments at your premises.
Practical example
Machine-readable structure of this website
Both interfaces are live and can be checked freely.
FAQ
Common questions on GEO and AI visibility
Is GEO possible without classic SEO?
No. AI systems take their data primarily from well-placed results in classic search engines. SEO forms the foundation, GEO extends that optimisation.
How do GEO, AEO and LLMO differ?
The terms describe the same goal: mentions in AI output. GEO emphasises generative systems, AEO the answer format, LLMO the language models. We use GEO as the central term.
In which AI services does a company become visible?
In systems such as ChatGPT, Perplexity, Google AI Overviews and Gemini. As the platforms prefer different sources, we record the results separately.
How can AI visibility be measured?
Through technical interfaces and manual checks. For ChatGPT and Perplexity we run defined test queries every month and record the mentions.
What can be promised for AI visibility?
What we commit to is professional optimisation and transparent measurement. The AI providers choose their sources themselves, and their algorithms keep changing. A specific mention therefore cannot be promised.
Why is AI visibility gaining importance?
Because more and more queries are answered directly in the chat window, without a click on a website. A company missing from those answers loses digital reach.