Interactive — Jonomor

How to Score for AI Search Engines: A Diagnostic Guide

By Ali Morgan, Founder and AI Visibility Architect at Jonomor

AI search engines such as ChatGPT, Perplexity, Gemini, and Google AI Overviews do not rank your website. They decide whether to cite your organization. The signals that produce a Google ranking differ from the signals that produce an AI citation.

The Self-Diagnostic: Five Questions That Reveal Your AI Visibility

Before running any automated scan, five questions expose whether your organization has the structural foundation.

Question 1. Ask ChatGPT, Perplexity, and Gemini to recommend a company in your exact category. Does your organization appear without being named in the prompt?

This reveals a category association problem. The AI may know you exist but fail to associate you with your category, usually because you are absent from listicles, directories, and publications.

Question 2. Does your website have Organization and Person JSON-LD schema with consistent @id values across every page?

Without schema, AI engines cannot confidently identify your entity. Schema is the machine-readable layer for your organization name, founder, products, and parent entity.

Question 3. Do you have ten or more content pieces on your core topic, organized as pillar-to-supporting clusters with internal cross-linking?

This is the topical depth signal. AI engines prefer comprehensive authority: definitions, frameworks, how-to content, case studies, and supporting articles.

Question 4. Do two or more independent domains mention your organization by name in their own editorial content?

This is the corroboration gap, the hardest signal and the biggest differentiator: press, expert platform citations, directory listings, and third-party reviews.

Question 5. Does your website have a sitemap, clean internal linking, descriptive anchor text, and entity pages linked from the homepage?

This is the knowledge structure signal. AI crawlers evaluate how content connects: discoverable, hierarchical, and described with meaningful anchor text.

How to Read the Results

5 of 5: Foundation strong. Expand topic depth and corroboration volume.
3-4 of 5: Structure exists with gaps. Identify the failed categories and address them systematically.
1-2 of 5: Significant structural deficiencies. Entity architecture work is needed before content or outreach.
0 of 5: Functionally invisible regardless of Google ranking.

Where this diagnostic came from: the five questions map to the five scoring categories of Jonomor's AI Visibility Framework: a 50-point system tested across 150 domains, six verticals, and 450 live extractions. The full methodology is in the State of AI Visibility report.

The Automated Version

Jonomor built an automated scanner that evaluates all 50 points. It parses JSON-LD, evaluates entity consistency, checks internal linking, and verifies cross-domain references.

The scanner also queries ChatGPT, Perplexity, and Gemini live, documenting actual retrieval behavior rather than inferring it.

Get Your Score

Run the automated AI Visibility scan on your domain. Five categories. Fifty points. Specific gap identification.

Free Scan at jonomor.com

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