AI-First Content Analysis
Understand how AI interprets your pages — not how crawlers scan them.
Semantic Features
Everything AI Needs to Understand Your Website
Semantic is an AI Data Layer that analyses, structures, and exposes your content in a way modern AI systems can understand, trust, and cite.
Free by default: includes 5 content analyses. No card required.
At a glance
Entity Extraction & Normalisation
Turn ambiguous text into consistent machine-readable entities.
Entity Relationship Graphs
Show how ideas connect to improve semantic cohesion.
Claims, Mechanisms & Constraints
Make assertions explicit and grounded in your content.
AI-Suggested FAQs
FAQs generated from meaning — grounded in what you’ve written.
Internal Link Opportunities
Strengthen topical authority through entity overlap.
AI-First Content Analysis
Semantic analyses your published pages the way large language models reason about information.
- Core entities (people, concepts, products, organisations)
- Claims made by the content
- Supporting mechanisms and constraints
- Failure modes where AI understanding or citation may break down
- AI-suggested FAQs grounded in the content
- Internal link opportunities based on entity overlap
Entity Extraction & Normalisation
Semantic automatically identifies and normalises entities across your content, ensuring AI systems can consistently recognise what your site is about.
- Deduplicated across pages
- Stable canonical ID per entity
- Consistent reuse across analysed content
- Categorised by type and relevance
Entity Relationship Graphs
Semantic maps how extracted entities relate, revealing the structure behind your content.
- Explicit vs implicit connections
- Foundational vs page-specific entities
- Supporting, contrasting, and contextual links
Claims, Mechanisms & Constraints
Semantic identifies the claims your content makes, with supporting mechanisms and constraints to reduce ambiguity.
- Highlights claims lacking sufficient context
- Links claims to referenced entities
- Creates a structured reasoning layer
Failure Mode Detection
Detect where AI systems may misinterpret, misattribute, or fail to cite your content.
- Structural ambiguity
- Missing foundational context
- Weak entity linkage
AI-Suggested FAQs (Content-Grounded)
FAQ suggestions generated from extracted claims, entity relationships, and coverage gaps.
- Grounded in your actual content
- Designed to improve comprehension
- All suggestions are reviewable
Internal Link Opportunities
Semantic identifies internal links by analysing shared entities across pages.
- Reinforce foundational topics
- Reduce orphaned content
- Improve semantic cohesion site-wide
Entity Registry (Site-Wide)
A central entity registry built from analysed content.
- Consolidates extracted entities
- Maintains canonical IDs and labels
- Ensures cross-page consistency
- Supports site-wide AI context
During free usage, the registry is visible in the portal only.
AI-Readable Context Endpoints (Preview)
Clean, predictable outputs designed for LLM consumption.
- Page-level AI context
- Site-wide entity data
- Structured relationship mappings
During free usage, endpoints are preview-only and not published or updated on the site.
Review & Control Workflow
Nothing is applied automatically. You stay in control.
- Review every entity, claim, relationship, and FAQ
- Edit or reject suggestions
- Inspect exactly what AI systems would see
Free access vs full capability
Free access (default)
- 5 content analyses included
- Full analysis visibility in the portal
- Entity registry preview
- AI endpoint previews
Full capability
- Analyse more content
- Publish AI context endpoints
- Ongoing use across your site
Analyse your content the way AI sees it.
Get started free — includes 5 content analyses. Upgrade when you’re ready to publish AI context and scale.