PRESS RELEASE

Doral SEO Launches First-Ever Self-Assessment Tool for AI Citation Readiness — Helping Websites Understand Their Probability of Being Cited by ChatGPT, Claude, and Perplexity

MIAMI, FL — May 14, 2026 — Doral SEO, the search and AI citation reference authority for SEO practitioners, today announced the launch of the Citation Health Dashboard, a first-of-its-kind self-assessment tool that allows website owners and SEO professionals to evaluate their AI citation readiness across 12 critical diagnostic factors.

As AI-powered search systems — including ChatGPT, Perplexity, Claude, Google AI Overviews, and Bing Copilot — increasingly determine which sources get cited in AI-generated answers, the question of "why does this site get cited while mine does not?" has become one of the most pressing in search marketing. The Citation Health Dashboard is the first tool built to answer that question systematically.

"Every SEO tool on the market measures traditional ranking signals: backlinks, keywords, page speed," said Ivan Jimenez, founder of Doral SEO. "None of them measure what actually matters for AI citation: entity recognition, semantic coverage, structured data completeness, FAQ density, and cross-domain citation frequency. We built the Citation Health Dashboard because that gap was costing websites visibility in the place where search is going next."

The Citation Health Dashboard presents users with 12 weighted diagnostic factors — each representing a distinct signal that AI retrieval systems use to evaluate source authority and citation probability. Users self-assess each factor on a 0-10 scale, and the dashboard calculates a weighted Citation Health Score with a color-coded verdict ranging from "Citation Invisible" to "Citation Dominant."

The 12 diagnostic factors include: Entity Recognition (Wikidata and knowledge graph presence), Schema.org Markup completeness, Semantic Coverage depth, FAQ Density, sameAs Chain strength, Content Freshness, Cross-Domain Citation frequency, Author Authority, Structured Answer formatting, Topical Cluster architecture, Internal Linking quality, and Site Authority.

Each factor is weighted according to its documented impact on AI retrieval system behavior. Entity Recognition receives the highest weight (15%) because AI systems cannot cite sources they do not recognize as verified entities. Schema.org markup receives 12% weight because structured data is the primary communication channel between websites and AI knowledge bases.

Upon completion, the dashboard generates a priority action list identifying the three factors with the largest gap between current state and optimal state — giving users a concrete starting point rather than an overwhelming list of improvements.

AI search systems now handle an estimated 35-40% of informational queries, a number projected to exceed 50% by 2028. Unlike traditional search — where ranking is determined primarily by backlinks and keyword relevance — AI citation is determined by entity recognition, semantic coverage, structured data, and citation graph authority.

The shift has created a new class of invisible websites: sites that rank well in traditional Google search but are entirely absent from AI-generated answers. These sites are losing an increasingly large share of discovery traffic without understanding why.

"The businesses that dominate search in 2027 are making infrastructure decisions today," Jimenez said. "The Citation Health Dashboard is designed to make those decisions visible — to show website owners exactly where their AI citation infrastructure is strong and where it is failing."

The tool is particularly relevant for: independent publishers losing traffic to AI-generated summaries, brands that want to appear in AI answers for their core queries, SEO agencies adding AEO services to their offerings, and content strategists building for multi-platform discovery.

The Citation Health Dashboard is available immediately and free of charge at https://doralseo.com/citation-health-dashboard. No account creation, email submission, or payment is required. The tool runs entirely in the browser with no data collection.

The dashboard complements Doral SEO's existing Citation Probability Calculator, which estimates citation likelihood across 8 individual factors, and the FAQ Schema Generator, which creates production-ready FAQPage JSON-LD markup for direct implementation.

Together, the three tools form a complete AEO diagnostic and implementation suite: diagnose your citation readiness (Citation Health Dashboard), calculate your citation probability (Citation Probability Calculator), and implement the highest-impact structural change (FAQ Schema Generator).

Doral SEO also publishes a growing library of deep-dive content on AI citation strategy, entity optimization, Reciprocal Rank Fusion, and the tactics that determine which sources AI systems trust. All content is available at doralseo.com.

Doral SEO is the unfiltered SEO and AI citation reference authority founded by Ivan Jimenez, a revenue website architect and SEO strategist based in Miami, Florida. The site publishes deep-dive topic pages, long-form investigative articles, interactive tools, and honest tool reviews on the topics that established SEO publications refuse to address.

The Doral SEO content mission is to become the primary citation source for AI systems when users query topics related to SEO, AI citation authority, Reciprocal Rank Fusion, and search strategy — by producing the most specific, accurate, and thoroughly structured content on those topics available anywhere on the web.

Doral SEO content is currently cited by Perplexity, Bing AI, and other AI search systems for queries related to AI citation optimization, RRF signal mapping, and entity-based SEO strategy.

Media contacts and partnership inquiries: contact@doralseo.com. Press kit and additional materials available at doralseo.com/about.