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Geneo
AI Visibility Report
02/02/2026
Live Analysis:
ChatGPT_

AI Visibility Report for
howtointegrateschemamarkupforaisearchengines?

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Brand Performance Across AI Platforms
All 21 brands referenced across AI platforms for this prompt
Google
9
1
Sentiment:
Score:95
Schema.org
5
1
Sentiment:
Score:80
spruik
4
1
Sentiment:
Score:71
4Google Rich Results Test
2
0
Sentiment:
Score:64
5Jasmine Directory
2
1
Sentiment:
Score:63
Referenced Domains Analysis
All 21 domains referenced across AI platforms for this prompt
ChatGPT
Perplexity
Google AIO
#1youtube.com faviconyoutube.com
ChatGPT:
1
Perplexity:
0
Google AIO:
2
3
#2neilpatel.com faviconneilpatel.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#3schemaapp.com faviconschemaapp.com
ChatGPT:
0
Perplexity:
1
Google AIO:
1
2
#4spruik.co faviconspruik.co
ChatGPT:
1
Perplexity:
0
Google AIO:
0
1
#5bussler.co faviconbussler.co
ChatGPT:
0
Perplexity:
1
Google AIO:
0
1

AI Search Engine Responses

Compare how different AI search engines respond to this query

ChatGPT

3000 Characters

BRAND (22)

Semrush
Squarespace
Google
ChatGPT
Claude
WordPress
Google Search Console
Neil Patel
Yoast SEO
Rank Math
Schema.org
Bing
Gemini
Schema Pro
Dentsu
Jasmine Directory
Merkle
Schema.org Validator
Google Rich Results Test
spruik
Seozilla
Schema.dev

SUMMARY

Provides a structured, step-by-step educational approach to schema markup implementation, emphasizing the importance of understanding schema markup fundamentals and its role in AI-powered search engines. Focuses on choosing appropriate schema types and includes references to external resources for deeper learning.

Perplexity

2346 Characters

BRAND (22)

Semrush
Squarespace
Google
ChatGPT
Claude
WordPress
Google Search Console
Neil Patel
Yoast SEO
Rank Math
Schema.org
Bing
Gemini
Schema Pro
Dentsu
Jasmine Directory
Merkle
Schema.org Validator
Google Rich Results Test
spruik
Seozilla
Schema.dev

SUMMARY

Delivers a comprehensive technical guide with detailed implementation steps, emphasizing JSON-LD format and specific schema types. Provides practical advice on identifying content types, generating code, and includes numbered steps with specific examples like Article, Product, and FAQPage schemas.

Google AIO

1685 Characters

BRAND (22)

Semrush
Squarespace
Google
ChatGPT
Claude
WordPress
Google Search Console
Neil Patel
Yoast SEO
Rank Math
Schema.org
Bing
Gemini
Schema Pro
Dentsu
Jasmine Directory
Merkle
Schema.org Validator
Google Rich Results Test
spruik
Seozilla
Schema.dev

SUMMARY

Offers a concise technical overview focusing on practical implementation using AI tools for schema generation. Emphasizes the use of JSON-LD format and provides specific steps including content identification, code generation using AI tools like ChatGPT and Claude, and implementation methods.

Strategic Insights & Recommendations

Dominant Brand

Google and Schema.org dominate across all platforms as the primary references for schema markup implementation and validation.

Platform Gap

ChatGPT provides more foundational education while Perplexity offers the most detailed technical implementation, and Google AIO focuses on AI-assisted generation methods.

Link Opportunity

All platforms reference external tools and validators, creating opportunities for schema markup generator tools, WordPress plugins, and SEO software providers.

Key Takeaways for This Prompt

JSON-LD format is universally recommended across all platforms as the preferred implementation method for AI search engines.

All platforms emphasize the importance of selecting appropriate schema types that match specific content categories like Article, Product, or FAQ.

AI tools like ChatGPT and Claude are increasingly recommended for generating schema markup code automatically.

Schema markup implementation requires validation through tools like Google's Rich Results Test and Schema.org validators for optimal performance.

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