Review the current discovery landscape.
We review how the brand, services, products, problem-led questions, and comparison questions appear at the time of research. Findings support improvement hypotheses rather than future inclusion promises.
LLMO / GEO
AI Search Optimization
Build a website that people, search engines, and AI systems can understand. DDU connects technical SEO, information architecture, content, implementation, and measurement to improve the foundation for search and AI-driven discovery.
This service does not guarantee inclusion, citation, ranking, or traffic from any AI system. We review the current website and improve the areas that can be controlled.
What It Means
Make the website easier to understand across human and machine-led discovery.
AI Search Optimization prepares a website for discovery through ChatGPT Search, Google AI Overviews, AI Mode, and other AI-assisted search experiences.
Terms such as LLMO, GEO, and AIO overlap. DDU does not treat them as separate services. We use AI Search Optimization as the broader term for aligning technical access, clear service definitions, reliable first-party information, comparison and decision content, and the relationships between pages.
This is not a collection of shortcuts for AI systems. It is an extension of sound SEO, information architecture, content design, implementation, and measurement.
Search Is Changing
Search results remain important, while AI answers are becoming another starting point.
Traditional search often moves from a query to a results page and then to a website. AI-assisted discovery may begin with a question, continue through a generated answer, and lead to cited or related sources.
This makes it important to explain who the service is for, what problem it addresses, how it differs, and what evidence supports the claim across the website, not only through isolated keywords.
TraditionalSearch → Results → Website
AI-assistedQuestion → Answer → Citation or Reference → Website
AI has not replaced traditional search. The practical approach is to keep strong SEO foundations while preparing for additional discovery paths.
What we check across the website.
Confirm that important content can be reached and understood.
We review robots.txt, sitemap.xml, canonicals, HTTP status, redirects, indexability, semantic HTML, JavaScript dependency, titles, descriptions, and heading structure.
Clarify services and decision information.
We organize service definitions, audiences, scope, comparisons, decision criteria, FAQs, case studies, first-party information, and internal links.
Prioritize evidence and first-party knowledge.
We prioritize real experience, project evidence, specialist knowledge, first-party information, case studies, comparisons, decision criteria, and useful FAQs instead of mass-producing generic AI content.
Describe visible content accurately.
Where appropriate, we add structured data that matches visible page content, such as Organization, WebSite, WebPage, Service, Article, and BreadcrumbList.
Use the data that is actually available.
We review Google Search Console, Google Analytics 4, landing pages, referrals, branded searches, and conversions. ChatGPT referrals are reviewed only when the referrer or parameters such as utm_source=chatgpt.com are available.
Why DDU
Move from research to practical website improvement.
DDU is not an LLMO-only consultancy. We connect strategy, information architecture, design, development, SEO, AI Search Optimization, analytics, and ongoing improvement within the website itself.
- Strategy
- Information Architecture
- Design
- Development
- SEO
- AI Search Optimization
- Analytics
- Improvement
A full redesign is not assumed. We identify the highest-priority areas and define a practical scope around the existing website and operating model.
Scope
- Current website review
- AI search visibility research
- Technical SEO
- Information architecture
- Content improvement
- Service page improvement
- FAQ design
- Internal linking
- Structured data
- robots.txt review
- sitemap.xml review
- AI crawler review
- GA4 and Search Console review
- Post-launch improvement
The scope is adjusted to the website, business goals, and available operating resources. Not every item needs to be implemented at once.
Frequently Asked Questions
How is AI Search Optimization different from SEO?
SEO helps search engines access, understand, and surface web pages. AI Search Optimization builds on the same foundation while also considering questions, generated answers, citations, comparisons, and the information people need to make decisions. SEO remains essential.
What do LLMO and GEO mean?
Both terms describe ways of improving how content may be understood or referenced by generative AI and AI-assisted search. Definitions vary, so DDU uses them as supporting terms under AI Search Optimization rather than separate services.
Can you guarantee inclusion in ChatGPT or Google AI answers?
No. Answers and citations vary by query, model, location, time, and search system. We improve the website factors that can be controlled, but do not guarantee inclusion, rankings, or traffic.
Can you work with an existing website?
Yes. A full redesign is not required. We can begin with technical SEO, service pages, FAQs, internal links, structured data, or measurement depending on priority.
Do you support WordPress and Shopify?
Yes. We review the current theme, plugins, apps, content workflow, and technical constraints before defining the implementation approach.
Is structured data enough on its own?
No. Structured data should match the visible content and support a website that is already clear, accessible, internally connected, and technically indexable.
Is llms.txt required?
It is not required for Google AI features. DDU treats it as optional supporting documentation and prioritizes crawlability, sitemaps, canonicals, visible content, and internal links.
Review how your website is understood across search and AI-assisted discovery.
We review technical SEO, information architecture, content, and implementation to identify a practical order of improvement.