AI Sitemaps
A prototype service that bridges traditional SEO with semantic knowledge models. Using RDF/OWL/SKOS standards and bespoke ontologies to help ChatGPT, Google AI Overviews, and next-generation search tools truly understand your content and its relationships; your domain knowledge!
Large Language Model AIs do better when given ontologies for context. This service is leveraging that understanding to help AI services rank websites better and include their content in more answers.
Experimental Service - Early Adopter Program - £10k Minimum Investment Required
Email:
info@kaiasm.com
Or call:
+44 (0) 330 223 1164
The Traditional Sitemap Limitation
Traditional XML sitemaps are excellent at telling search engines where your content lives, but they fall short in explaining what it is and what it means.
Missing Context
Search engines crawl your pages but have to infer the relationships between your products, services, and knowledge.
AI Confusion
AI assistants like ChatGPT struggle to understand the context, meaning and trustworthiness of your content.
Flat Structure
Complex product catalogs get flattened into simple URL lists.
The Result
As search evolves toward AI-generated answers and conversational queries, content without semantic structure is already getting left behind.
Our Experimental Solution
AI Sitemaps: XML Sitemaps + Ontological Knowledge
We're developing a hybrid approach that combines standard sitemap syntax with ontological representations of the things you care about (represented in RDF/OWL/SKOS). Our first prototype creates bespoke and richer knowledge representations of an individual website than are currently available with existing semantic web approaches, such as Schema.org. We do, however, use recognised top-level ontologies/vocabularies in the development of the ontology, in particular connecting it to core Schema.org entities where possible. Further extension of Schema.org with other vocabularies, for full ontological representation in-page, is a parallel development to this product and is expected to be part of the future of this service.
What makes it different:
- Still a Valid XML Sitemap
Works with existing search infrastructure and tools - Enhanced with Semantic Layers
Uses RDF/OWL/SKOS representations of your content, connected to existing top-level ontologies, to define what your content is, how it relates, and why it matters - Machine-Readable Relationships
Helps AI systems understand your domain knowledge - Future-Focused Approach
Positions content for the next evolution of search
Example Comparison
Traditional Sitemap: "This is the URL of a page on our website"
AI Sitemap (RDF/OWL): "This URL is a page from our website that represents our collection of dog foods that include wholegrains (owl#Class), which is-a-kind-of Product in our Range (formal relationship), defined as a product line including beneficial whole grains (skos:definition), with specific produced-by relationship to our brand (formal ontological structure)"
Example XML element:
<url>
<loc>https://forthglade.com/collections/range-wholegrain
<ontology:entity rdf:about="https://kiri.forthglade.com/kiri/1a5ad5e1-408d-4a73-ada3-f1b34495911c">
<rdf:type rdf:resource="http://www.w3.org/2002/07/owl#Class"/>
<rdfs:label>Wholegrain
<skos:altLabel>Wholegrain Range
<skos:definition>Forthglade's wholegrain complete meal range
<skos:definition>Product line including beneficial whole grains
<skos:definition>Product line including whole grains
<ontology:is-a-kind-of rdf:resource="https://kiri.forthglade.com/kiri/411bdc9f-bc5a-4413-a9c9-a6edc4b40ecb"/>
<ontology:produced-by rdf:resource="https://kiri.forthglade.com/kiri/82989389-6d68-4e1c-b5c9-e2a5f795ff07"/>
</ontology:entity>
</url>Positioning for AI-Powered Discovery
Search is rapidly shifting from "show me links" to "give me answers." AI systems like Google's AI Overviews, ChatGPT, Perplexity, and Copilot increasingly decide which sources to trust and cite.
The Hypothesis
Content with rich semantic structure has better chances of being understood accurately and cited authoritatively by AI systems.
Benefits
- Cited directly in AI-generated responses
- Featured prominently in AI search summaries
- Understood accurately by language models
- Preserved with proper context and authority
Why this matters now
While we can't guarantee specific AI systems will use AI Sitemaps today, the trend toward structured, machine-readable data is clear. Early adopters may gain significant advantages.
Full Transparency: This is Experimental
What we know: Formal semantic standards (RDF/OWL/SKOS) and top-level ontologies are proven methods for knowledge representation. Major organisations and government databases already use ontologies for data structuring and discovery, and there is a growing body of research evidence that demonstrates that ontologies for context, as part of the generative AI mix, improves the accuracy of outcomes and a reduction in hallucinations. We also know that if you ask search engines, such as Google, they will tell you that this is not a use-case that sitemap.xml was designed to support. We are, nevertheless, applying this logic to Sitemaps as a method of feeding AI generated search results with ontological context, because doing so appeals to our common sense!
What we're testing: Whether sitemap-based formal ontologies can improve visibility and understanding in consumer-facing AI search tools like ChatGPT and Google AI Overviews.
Future considerations: If initial prototypes don't achieve the desired results, we will explore other routes, such as extending Schema.org structured markup embedding within web pages themselves, built on the same ontological foundations.
Our belief: As AI systems become more sophisticated, they'll increasingly need content with clear semantic structure, and this is at the core of this experiment. We're building for where search is heading, not just where it is or isn't today.
Perfect for: Organisations willing to experiment with cutting-edge approaches and help shape the future of semantic SEO.
How It Works
A collaborative process to map your domain knowledge into formal, machine-readable ontological structures using established semantic web standards.
- Domain Analysis
We study your content taxonomy, product relationships, and knowledge structure - Ontology Modelling
We map your domain using an ontology-led methodology and anchor it in recognised top-level ontologies - AI Sitemap Creation
We generate XML files (incorporating RDF/OWL/SKOS) that validate as standard sitemaps but carry rich formal ontological data structures - Deployment Integration
You deploy the AI Sitemap alongside your existing sitemaps, maintaining full compatibility with current search infrastructure - Knowledge Transfer
We train your team and provide tools to maintain and update the ontological structure as your business evolves - Ongoing Management
You manage and release updated AI Sitemaps as your content changes, ensuring your semantic knowledge stays current and accurate
Ideal Early Adopters
- E-commerce Sites
Complex organisations with deep product catalogs that need better semantic organisation for AI-powered search - Publishers & Content Creators
Domain experts whose expertise should be properly represented in AI-generated answers - B2B Companies
Sophisticated service offerings that benefit from clearer knowledge structure - Innovation-Focused Organisations
Ready to experiment with next-generation SEO approaches and shape industry direction
Why Partner with Kaiasm?
- Proven Expertise
Deep knowledge in data science, ontology engineering, and search engine optimisation - including expertise with top-level ontologies beyond Schema.org vocabularies - Research-Driven Approach
Grounded in formal semantic web standards, top-level ontology theory, and emerging AI trends - with flexibility to pivot to ontological Schema.org extensions if needed - Transparent Methodology
Clear explanation of what we're testing and why - Collaborative Process
You help shape both the service and the industry direction
<
Ready to Experiment?/>
</>Join us in exploring the future of semantic SEO and AI-powered search visibility.
£10,000 minimum investment required.