SEO and AI visibility
SEO for Google and AI-powered search
We develop websites so their information can be understood not only by traditional search engines, but also by systems that generate answers using information from multiple sources. We combine technical SEO, information architecture, expert content, brand authority and analysis of visibility in AI-powered search.
Areas we work on
Content
Entities
AI
Authority
New ways of searching
Visibility no longer ends with
a list of ten search results
People still use traditional Google results, but they increasingly also receive direct answers, summaries and comparisons generated by AI systems.
A good strategy therefore does not mean abandoning SEO. It means developing the website so that its information can be found, understood and credibly used across different forms of search.
01
Users can receive an answer without reviewing multiple search results
For some queries, the decision about which sources a user sees already happens within the generated answer.
02
A single keyword no longer describes the entire search journey
Users ask more complex questions and refine their needs through subsequent interactions with search engines and AI assistants.
03
A single landing page is no longer the whole picture
The website should clearly communicate what the company does, where its expertise lies and how individual topics relate to each other.
04
The brand also needs credibility outside its own website
Website content is only one part of the overall picture of a company. External mentions, third-party sources, backlinks and consistent brand information also contribute to credibility.
Scope of work
What do we develop for SEO and AI visibility?
There is no single switch that makes a company appear in AI-generated answers. We work on a combination of elements that help search engines and answer systems find, interpret and evaluate information about the organisation.
Technical
foundations
Crawlability and indexability
Correct HTTP status codes and canonicals
Information architecture
Internal linking
Performance and content accessibility
Robots and crawler access for AI-powered search systems, including checking whether robots.txt blocks OAI-SearchBot or whether a public website is accidentally blocked by a firewall or CDN
Content needs to be technically accessible before any system can use it.
Information
structure
Clear hierarchy of services and topics
Logical topic clusters
Relationships between services, guides and company information
Reduction of cannibalisation and duplication
Clear naming of products, services and areas of expertise
The website should clearly answer what the company does and where its expertise lies.
Content
Direct answers to real customer questions
Clear explanations of concepts and processes
Expert information based on the company’s experience
Updating existing content
Developing important topics that are missing from the website
Information that can be easily understood and used when generating answers
We do not produce content simply because a tool has identified another keyword.
Entities and structured
data
Consistent company information
Organisation
People and authors where relevant
Services and locations
Structured data that reflects the actual content of the website
Relationships between the key elements of the website
Schema can help describe information, but it does not replace useful content or genuine authority.
Authority and
external sources
Backlink profile
Industry publications
Brand mentions
Consistency across external sources
Visibility of company experts
Building credibility around the company’s most important topics
The goal is not to artificially manufacture mentions. The goal is to build real signals that support and verify the company’s expertise.
Measurement
Google Search Console
Traditional organic visibility
Traffic and conversions
Data from generative search features, when available for the website
Referral traffic from AI platforms
Manual analysis of relevant scenarios and queries
We do not reduce AI visibility to a single “ranking position”.
We do not look for a magic “AI SEO” switch
Visibility in AI-generated answers does not come from adding one file, one type of schema or a few specially formatted paragraphs. The foundation is still a technically accessible website, useful and unambiguous content, logical information architecture, credible company information and authority built beyond the company’s own domain.
Files such as llms.txt can be analysed or implemented when there is a specific technical reason to do so, but we do not present them as a guarantee of visibility in Google or AI-generated answers.
How we work
We start with what already matters in traditional SEO
We do not build a separate AI strategy detached from the website. We first review the foundations, then expand the analysis to how information is represented, how authority is built and how new sources of traffic develop.
01
Diagnosis
We analyse technical SEO, content, site structure, the backlink profile and the way the company and its services are described. An SEO audit is often the starting point.
First, we establish whether the problem actually concerns AI or simply the SEO foundations.
02
Development
We improve information architecture, develop useful content, organise company information and strengthen the most important areas of the website. This can also form part of ongoing SEO services and link building.
The work should support both traditional search results and new ways of discovering information.
03
Measurement and adjustment
We monitor Google Search Console, analytics, traffic from external systems and visibility around important topics.
We do not promise a permanent position in an AI-generated answer. We assess whether the brand is appearing where it has real business relevance.
Frequently asked questions about SEO and AI visibility
Answers about the possibilities, limitations and how we combine traditional SEO with new forms of search.
Can you optimise a company to appear in ChatGPT?
There is no traditional ranking list equivalent to Google search positions. We can, however, develop the elements that improve the chances of credible information about the company being found and used by search and AI-answer systems. We do not guarantee that a brand will appear in any specific generated answer.
Does traditional SEO still matter?
Yes. Technical accessibility, content quality, website structure and domain authority remain fundamental to visibility. We treat AI-related work as an extension of SEO, not as its replacement.
Do we need separate content for AI?
Not always. Improving existing pages can often provide more value: organising information, adding direct answers, filling important gaps and presenting the company’s expertise more clearly. We create new content when an important topic or answer is genuinely missing.
Does schema improve AI visibility?
Structured data helps describe the content and elements of a website, but it is not a standalone method for achieving visibility. It needs to reflect real information that is present on the website.
Do I need an llms.txt file?
We do not treat llms.txt as a mandatory element of AI visibility. In some projects, we may implement or test it, but it does not replace an indexable website, clear information architecture, useful content or authority.
How can AI visibility be measured?
We combine available data from Google Search Console and analytics, referral traffic from AI platforms and analysis of important search scenarios. The measurement scope depends on the data made available by individual platforms.
Contact
Let’s see whether your website is ready for new ways of searching
Send us your website URL. We will review the technical foundations, content structure and how information about the company is presented. We will then identify where we see the greatest potential for improvement.
SEO and technical foundations
Content and information structure
Visibility in search engines and AI systems