Schema Implementation

Schema Markup & Structured Data
for B2B SaaS

[Placeholder — describe what schema implementation covers. How does structured data make content machine-readable for AI platforms? What outcome does it produce?]

Full Schema.org implementation
AI platform optimised
Validated and monitored
+87% Citation Rate
AI Visibility Monitor
LLM Citation Performance
Live
Google AI Overviews92%
ChatGPT / GPT-4o87%
Perplexity AI78%
Claude (Anthropic)71%
Based on weekly LLM query monitoring↑ improving
4.9/5 — 180+ SaaS clients
The Definition

What is schema markup and why does it matter for AI Visibility?

[Placeholder — paragraph 1: Define schema markup. What is structured data? What problem does it solve for AI platforms trying to understand your website?]

[Placeholder — paragraph 2: Explain the link between schema markup and AI recommendations. How does structured data help AI assistants understand your brand, products, and expertise?]

[Placeholder — paragraph 3: Describe the commercial outcome for B2B SaaS companies. How does schema implementation translate into more AI citations and pipeline?]

  • Organization schema: [Describe what Organization schema covers and how it helps AI platforms identify your brand entity.]
  • FAQ schema: [Describe how FAQ schema increases the probability of content being cited in AI-generated answers.]
  • SoftwareApplication: [Describe the SoftwareApplication schema type and why it matters specifically for SaaS products.]
Our Process

How we implement schema markup

[Placeholder — one sentence describing the schema implementation process.]

Step 01

Schema Audit

[Describe what the schema audit covers — what schema types are currently missing, incorrect, or incomplete.]

Deliverable: [Schema Audit Report + Priority List]
Step 02

Schema Architecture Design

[Describe how the schema architecture is designed — what types are implemented, how they nest, and what entity relationships they define.]

Deliverable: [Schema Architecture Document]
Step 03

Technical Implementation

[Describe the implementation process — JSON-LD, deployment, testing, validation.]

Deliverable: [Implemented Schema + Validation Report]
Step 04

Monitoring & Maintenance

[Describe how schema is monitored over time — validation errors, changes to Schema.org specs, platform updates.]

Deliverable: [Monthly Schema Health Report]
Schema Types

Key schema types for B2B SaaS AI Visibility

[Placeholder — one sentence framing these schema types in the context of AI Visibility.]

Entity

Organization

[Describe what Organization schema covers and what it enables for AI platforms.]

Content

FAQ & HowTo

[Describe how FAQ and HowTo schema increase AI citation probability.]

Product

SoftwareApplication

[Describe SoftwareApplication schema and its role for SaaS AI Visibility.]

Trust

Article & Review

[Describe how Article and Review schema contribute to authority signals.]

What You Get

Schema implementation deliverables

[Placeholder — one sentence.]

Week 1

Schema Audit Report

[What this covers.]

Week 2

Schema Architecture

[What this covers.]

Month 1

Full Schema Implementation

[What this covers.]

Month 1

Validation Report

[What this covers.]

Monthly

Monthly Health Report

[What this covers.]

Ongoing

Maintenance & Updates

[What this covers.]

Schema FAQ

Questions about schema markup

Powered by Aivivo
Free Tool — No Signup Required

See Your AI Visibility Score — Free

Find out where your brand appears (and doesn't) in ChatGPT, Google AI Overviews, Perplexity, and voice search. Takes under 60 seconds.

Free. Instant. No signup required.

We onboard max 8 new SaaS clients per month — limited spots available

Start with a free schema and AI Visibility audit.

We'll assess your current schema implementation and show you exactly which structured data changes would have the greatest impact on your AI citation rate.

No commitment required Delivered within 48 hours Covers all 5 AI platforms