Schema & Structured Data

Speak the Language of Machines

Captiva’s Schema & Structured Data service ensures your website delivers clean, machine-readable signals that large language models (LLMs) recognize and trust. We implement or optimize schema markup across your site to clarify who you are, what you do, and why your content matters.

This isn't just about SEO — it’s about becoming an authoritative entity in the training data and live retrieval systems powering tools like ChatGPT, Gemini, and Perplexity.

• Structured data markup for key entities (Organization, Person, Product, Service, Article, etc.)
• Error correction and validation using Google’s Rich Results Test and Schema Validators
• Embedding machine-friendly metadata to increase AI source confidence
• Integration with public knowledge graphs (e.g. Wikidata, Crunchbase, LinkedIn)

Structured, Standards-Based, and LLM-Aware

We start with a full audit of your current markup and metadata layer. From there, we identify missing or malformed schema types, ensure accurate entity disambiguation, and prioritize structured signals that AI models use to form responses.

We don’t just fix what's broken — we architect your web data to position your brand as a clean, authoritative source in AI search.

LLMs pull from a mix of structured and unstructured web data. By improving your schema, you increase the odds that your brand is understood — and surfaced — in AI answers. This boosts visibility, credibility, and long-term discoverability.

• Improved AI comprehension of your brand, services, and content
• Increased likelihood of inclusion in knowledge panels and AI responses
• Reduced risk of model confusion or content misattribution
• Long-term authority in structured web ecosystems