EDRON AI
An AI consulting firm helping enterprises adopt AI — yet invisible to the very AI search engines reshaping how buyers discover solutions.
0% → 34%
AI Visibility Score across 4 platforms
6 of 25
Target queries now return EDRON AI citations
100%
Entity consistency achieved across all indexed platforms
3 weeks
Time from audit to full implementation
The Challenge
EDRON AI had deep expertise in enterprise AI adoption and a strong track record in insurance underwriting automation. But when decision-makers asked ChatGPT, Perplexity, or Gemini about AI consulting firms, EDRON AI didn't appear. Their entity was fragmented across platforms. Their website used marketing language that AI couldn't parse. They had no structured data, no schema markup, and no cross-platform consistency. The result: zero AI visibility despite being exactly what AI-curious enterprises were searching for.
The Approach
Conducted a full EXACT Audit across ChatGPT, Perplexity, Gemini, and Copilot — testing 25+ category-relevant queries
Rebuilt entity consistency: aligned name, description, services, and leadership across website, LinkedIn, and industry directories
Implemented comprehensive Schema.org markup: Organization, Person, Service, OfferCatalog, and FAQPage in JSON-LD
Restructured website content from marketing copy to AI-parseable format with clear headings, direct answers, and Q&A patterns
Built cross-platform presence: optimized LinkedIn company page, industry directory listings, and Calendly booking flow
Created a content architecture designed for citation — each page answered specific queries AI engines receive
“Mia showed us that we were completely invisible to AI search — and we're an AI company. She rebuilt our entire digital presence from the ground up. Within weeks, we started appearing in ChatGPT and Perplexity responses for our exact category. The EXACT Framework made something complex feel systematic and achievable.”
— CEO, AI Consulting Firm
Key Insight
Even companies that build AI can be invisible to AI. Technical expertise doesn't automatically translate to AI discoverability. Structured data, entity consistency, and content architecture are entirely separate disciplines — and they're what determine whether AI recommends you or your competitor.
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