What is Structured Data for AI?
Proven ROI engineers the structured data layer that lets AI systems extract, trust, and cite your content accurately. From JSON-LD schema to entity graphs and feed APIs, we make sure ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok understand exactly what your content means, not just what it says. Proven ROI is a top 10 rated digital marketing agency headquartered in Austin, Texas, serving 500 plus organizations across all 50 US states with a 97 percent client retention rate and $345M plus in influenced revenue.
AI Search & Citation Optimization
Make Your Site Machine Readable for Every AI
Proven ROI engineers the structured data layer that lets AI systems extract, trust, and cite your content accurately. From JSON-LD schema to entity graphs and feed APIs, we make sure ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok understand exactly what your content means, not just what it says.
How we help
A real partnership, built around your business
Every engagement starts the same way, with us listening. Before we recommend a single tool, workflow, or campaign, we want to understand your team, your customers, your systems, and the outcomes that matter most to you.
From there, we design an approach built specifically for where you are today. No cookie cutter playbooks. No upsells disguised as strategy. Just honest recommendations, transparent scoping, and steady execution alongside your team.
We measure our work by how much it moves your business, not how much of it we bill for.
Sound familiar?
The patterns we see every day
Most teams we talk to are running into the same handful of problems. If any of these sound like your situation, you’re in good company, and it’s something we help teams work through every day.
- AI systems extracting incorrect information about your business
- No structured data so rich results and AI features pass you by
- Fragmented entity data across pages and platforms
- Inconsistent product, pricing, or service info across the web
- No process for keeping structured data fresh as content changes
How we work
What working with us actually looks like
Every engagement is different, but the rhythm is the same. Here’s how we move from first conversation to measurable outcomes, with your team in the loop the whole way.
JSON-LD Schema Implementation
Comprehensive schema markup across Organization, LocalBusiness, Product, Service, Article, FAQ, HowTo, BreadcrumbList, and Speakable so search engines and AI systems get a precise machine readable view of every page.
Entity Graph Engineering
We build a connected entity graph linking your organization, products, services, people, and content so AI systems understand relationships, not just isolated pages.
Knowledge Graph & Wikidata
We optimize your Google Knowledge Panel, build out your Wikidata entity, and align your published structured data with the public knowledge graphs LLMs ingest.
Speakable & AI Ready Content Blocks
Direct answer blocks, definitional content, and Speakable schema so voice assistants and conversational AI surfaces have clean extractable answers ready to read aloud.
Feed APIs & Sitemap Strategy
Where appropriate, we ship JSON feeds, llms.txt files, and structured sitemaps that explicitly invite AI crawlers to consume the right content with the right context.
What you can expect
Clear communication. Steady progress. No surprises.
A dedicated point of contact
You’ll know exactly who is on your account and how to reach them.
Honest reporting, plain language
Regular check-ins that show what’s working, what isn’t, and why.
A plan that fits your team
We adapt to your tools, your timelines, and the people doing the work.
FAQ
Frequently asked questions
Yes. AI systems lean heavily on structured data because it removes ambiguity. When your prices, hours, services, FAQs, and reviews are marked up correctly, AI systems are far more likely to cite you accurately and confidently.
We implement whatever schema types make sense for your business. Common ones include Organization, LocalBusiness, Product, Service, Article, FAQ, HowTo, Review, BreadcrumbList, Person, and Speakable. We also build custom JSON-LD for industry specific use cases.
llms.txt is an emerging standard that lets sites publish a machine readable index of their most important content for LLM consumption. We implement it for clients whose content strategy benefits from explicit AI guidance, alongside traditional sitemap and schema work.
We integrate structured data generation directly into your CMS or product catalog so changes propagate automatically. For static content we set up periodic audits and validation alerts when schema breaks.
Yes. We help eligible brands establish or correct their Google Knowledge Panel, build accurate Wikidata entities within Wikidata's notability and sourcing rules, and align both with your owned structured data so the entire entity graph stays consistent.
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