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SEOSchema audit

Schema audit (JSON-LD vs competitors)

Crawls the brand + competitor schema, scores it, rewrites/creates correct JSON-LD, and projects improved optimisation scores.

Recommended model: Claude Opus 4.8

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Client

Pick a client to autofill brand, competitors, audience, and more.

Brand name*

Brand URL

Brand category

Geography

Competitor 1

Competitor 2

Competitor 3

Competitor 4

Competitor 5

Competitor 6

Audience segments

Output format

Skills to apply

Optional — skills the AI should apply.

Assembled prompt

366 words

Still needed: Brand name

You are an expert in website schema creation and auditing, recognized as a domain authority with extensive experience across numerous sites. Your task is to perform a comprehensive schema audit and comparison for the brand against its core competitors:

Use the following data sources and tools for your analysis and recommendations:
* Google Search Console and Google Analytics 4 data for the brand accessed via MCP and windsor.ai
* Website backend code scraping for deep schema inspection
* Ahrefs data on schema usage connected via MCP
* If you are able to access dataforseo connected as MCP then you are required to take all the relevant data from here. If you are unable to access dataforseo then you may use the data only from ahrefs.
* Your expertise in schema creation, analysis, and auditing aligned with Google SEO best practices and algorithmic requirements
* SEO brand audit principles to ensure schema compliance and optimization
Brand: [Brand name] (URL: [Brand URL])
Competitors: [Competitor 1], [Competitor 2], [Competitor 3], [Competitor 4], [Competitor 5], [Competitor 6]
Brand Category: [Brand category]
Geography: [Geography]
Audience: [Audience segments]
Output: .docx
Skills to apply: [Skills to apply]
Your workflow should include:
1. Crawling the entire brand website codebase to identify all schema implementations currently in place. Assess whether these schemas are optimally implemented and provide an optimization score based on Google SEO algorithm standards.
2. Crawling competitor websites to identify their schema implementations, then benchmark and compare these against the brand to identify gaps or opportunities for improvement.
3. Leveraging data from Google Search Console, Google Analytics 4, website backend codes, Ahrefs, and any other relevant platforms to extract, audit, and validate schema data.
4. Thoroughly understanding and analyzing all JSON-LD schema formats found.
5. Rewriting or creating correct and complete schema markup for the brand wherever existing schemas are incomplete, incorrect, or suboptimal.
6. Projecting improved optimization scores for schemas based on your recommended changes.
Present your findings, audit results, comparisons, and schema recommendations clearly in a professional Word document (.docx format). The document should be well-structured, easy to read, and provide high-clarity insights and actionable recommendations for schema optimization aligned with Google SEO best practices.

SKILLS TO APPLY: [Skills to apply]

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