No entity identity
Without entity schema, AI has no source of truth. It scrapes fragments from different pages, sees incomplete data, and defaults to skipping you.
Schema markup that Gemini, ChatGPT, Perplexity, and Claude use to recommend your business.
Your site looks great to humans. AI sees fragmented data, missing connections, and no way to verify you.
Without entity schema, AI has no source of truth. It scrapes fragments from different pages, sees incomplete data, and defaults to skipping you.
Your content exists, but AI can't extract structured answers from plain text. When buyers ask, AI pulls from pages with FAQ schema, not walls of prose.
Without entity connections, AI can't verify your credentials, expertise, or authority. No verification means no recommendations.
When someone asks an AI about your industry, it doesn't guess. It looks for structured proof.
User asks AI
"What agencies help SaaS companies on HubSpot with AEO and AI visibility?"
ChatGPT crawls the page
AI response
Schema on page: None
ChatGPT crawls the page
AI response
Schema deployed
AI doesn't want to deliver bad answers. It looks for confidence, and structured data is how it gets there. Without it, you're easy to skip.
Most schema tools copy what's on your page. We analyze what should be there, add structured data across your entire site, and tell you how to fix gaps before AI ever sees them.
Not another page-by-page generator. Schema that covers your entire brand.
Copy-paste a URL into a schema generator
One page at a time.
Get generic schema output for that page
No entity connections
Repeat for every page. Manually.
50 pages = 50 sessions
Content changes? Start over.
No sync, no memory
Map your entities & relationships for your brand
Company-wide schema coverage
Identify gaps & optimization opportunities
Prescriptive, not just generative
Generate AI-optimized schema
Connected, not isolated
Deploy to HubSpot + sync via MCP
Triggered by your workflow
We build the machine-readable architecture AI systems actually use to rank and recommend your business.
Schema shouldn't be a side project. It should run itself.
Developers are too busy for schema. As you update pages, fire Schema Rocket to update. No dev tickets or code edits.
One app. Multiple HubSpot portals. Deploy schema across 10 client sites in the time it takes to do one.
If you don't want schema as a hobby, you need agents delivering schema in your workflow.
9 schema types across every page on your site. Optimized for AEO and SEO so search engines and AI can read what you do.
Company
Root of all structured data
Products
Connected to solutions & team
Solutions
Tied to products & outcomes
FAQ Pages
Structured Q&A for AI parsing
Blog Posts
Tied to authors & topics
Authors
Real people, real authority
Offers
Pricing & availability for AI
Navigation
Site map AI can follow
Contact
Verifiable contact identity
See what AI knows (and doesn't know) about your company
Scan your site to see how your schema structure scores against standards.
Every schema type. No credits. Two ways to implement.
DIY Agent
White Glove Service
Plus Everything in DIY
Before you buy, here's what teams usually ask.
Most schema tools charge per URL. 1 credit = 1 page. A typical plan gives you 25 credits/month. Let's do the math on a typical HubSpot site.
Your site: 15 pages + 75 blog posts = 90 URLs
Typical plan = 25 credits/month
That's nearly 4 months before every page even has schema.
Optimizing costs another credit per URL. So you're at 180 credits total.
And you're still paying monthly the entire time. That's $175+ just to schema a single site.
Per-page tools
SchemaRocket
No. We tested it. Here's what HubSpot gives you out of the box:
What HubSpot includes
What HubSpot is missing
The result: Zero JSON-LD instances found across 8,223 lines of HTML on a live HubSpot page. HubSpot is a great CMS — but it gives AI engines nothing to work with. That's not a bug, it's just not what HubSpot was built for. SchemaRocket fills that gap.
Try Schema Rocket for 30 days. If the tool doesn't deliver valid, deployment-ready structured data for your site, you get a full refund.
The only question is whether your company shows up in the answer.
From question to recommendation — click anywhere to step through.
"What agencies help SaaS companies on HubSpot with AEO and AI visibility?"
ChatGPT parses the user's intent: they want a list of agencies, filtered by SaaS focus, HubSpot ecosystem, and AEO/AI visibility expertise.
It identifies the key entities and filters needed to answer the question accurately.
ChatGPT fires a Bing search query (something like "best HubSpot AEO agencies SaaS"). It gets back a list of URLs ranked by Bing's index.
This is the same search index that powers traditional SEO rankings.
From those search results, it picks the most relevant-looking pages to fetch — typically 5–10 URLs based on title, snippet, and domain authority signals.
Pages with clear, specific titles and meta descriptions get prioritized.
For each selected page, it fetches the HTML content. This is where structured data matters — it reads the page's JSON-LD schema markup alongside the visible text.
Without schema, the AI only sees unstructured body text, titles, and meta tags.
When it finds SameAs links in your schema (pointing to LinkedIn, Clutch, HubSpot Partner Directory), it follows those links to cross-reference and verify your claims.
"They say they're a Diamond Partner — does the HubSpot directory confirm that?" Without SameAs links, there's nothing to verify against.
It pulls out entities it can verify: company names, locations, service types, partner tiers, credentials. Structured data makes this instant and unambiguous.
Without schema, the AI has to guess from body copy — and often doesn't bother.
It ranks which companies to mention based on how much verifiable, cross-referenced data it assembled. More corroborated claims = higher confidence score.
Pages with Organization, Service, and SameAs schema get significantly higher scores.
It assembles the answer, citing companies it feels confident about. Companies with structured data get named with specific details.
Companies without schema get skipped — not because they're bad, but because the AI can't verify them well enough to recommend them.
Step 1 of 8 — click to continue
The takeaway: SchemaRocket gives AI everything it needs at steps 4, 5, and 6 — the exact moments where companies without structured data get filtered out.
SchemaRocket uses consistent entity IDs so AI sees one company.
Your CEO appears on multiple pages
SchemaRocket uses the same @id across all of them:
Organization.founder → @idPerson → same @idArticle.author → same @idHow AI connects the dots:
// Consistent @id across pages
Organization yourcompany.com/#org
│
├─ founder → yourcompany.com/#ceo
├─ makesOffer → yourcompany.com/#product
└─ sameAs → linkedin, crunchbase, g.page
✓ AI resolves all references to the same entity
Same entity, same @id, every page. AI sees one company, not fragments.
SchemaRocket updates via MCP.
Publish a blog post. Watch what happens:
New content goes live
Triggered by your agent or workflow
Author, topics, dates linked
No manual copy-paste
// Agent workflow
1. Content team publishes new post
2. AI agent calls SchemaRocket via MCP
3. Schema generated with author, topics, dates
4. Deploys to HubSpot via MCP
Connect via MCP so workflows can keep structured data current as content changes.
SchemaRocket shows you what's missing first.
Example: Your product page scan
SchemaRocket tells you how to fix it:
You see the gaps before deploying, not after AI skips you.
1 {
2 "@context": "https://schema.org",
3 "@type": "Organization",
4 "name": "YourCompany Inc.",
5 "url": "https://yourcompany.com",
6 "logo": "https://yourcompany.com/logo.png",
7 "founder": {
8 "@type": "Person",
9 "name": "Jane Smith",
10 "jobTitle": "CEO & Founder",
11 "sameAs": [
12 "https://linkedin.com/in/janesmith",
13 "https://crunchbase.com/person/jane-smith"
14 ]
15 },
16 "sameAs": [
17 "https://linkedin.com/company/yourcompany",
18 "https://twitter.com/yourcompany",
19 "https://g.page/yourcompany"
20 ],
21 "makesOffer": {
22 "@type": "Offer",
23 "itemOffered": {
24 "@type": "Product",
25 "name": "Growth Platform",
26 "description": "AI-powered growth engine",
27 "aggregateRating": {
28 "@type": "AggregateRating",
29 "ratingValue": "4.9",
30 "reviewCount": "127"
31 }
32 }
33 }
34 }
Brand Visibility Diagnostic
AI-Ready
4 fully structured
3 need enrichment
1 at risk of being ignored