VISIBLD · AI Visibility Intelligence
VISIBLD is an AI visibility practice and a GEO strategy and management company. The instrument measures how visible, citable, and trusted a company is to the six AI platforms its buyers use (ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews), names every cause of invisibility, and does the work to fix it. Free 60-second GEO Score Check. GEO Audit $500, delivered in 24 hours. Founded by Jordan Neville. Location: Everywhere.
VISIBLD is an AI visibility practice and a GEO strategy and management company. The instrument measures how visible, citable, and trusted a company is to the six AI platforms its buyers use (ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews). Microsoft Copilot is captured by a documented assisted protocol; DeepSeek is tested as training memory. VISIBLD produces a 0 to 100 GEO Score across five layers, names every cause of invisibility, and delivers a prioritized 90-day roadmap.
VISIBLD serves B2B technology companies, B2C consumer brands, DTC and eCommerce businesses, and service organizations. The 5-layer methodology is the same across segments. Only the prompt library, competitor set, and surface weighting change.
94% of B2B buyers use AI during software evaluation (6sense, 2025, n=3,986). 68% of consumers use AI to research products before purchase (McKinsey, 2026). AI-referred sessions convert at 4.4 times the rate of organic search (Semrush, 2025). Only 3 to 4 brands are cited per LLM answer (BrightEdge, 2025), and there is no page two. 80% of B2B deals go to a vendor on the buyer's day-one shortlist (6sense, 2025), a shortlist now assembled inside an LLM before the first vendor contact.
Every score reports its measured fraction: the share of hard data versus expert judgment.
Grounded (live, logged): ChatGPT, Perplexity, Claude, Gemini, Grok. Training memory only (flagged): DeepSeek. Assisted capture (documented manual protocol, no public API): Google AI Overviews, Microsoft Copilot. VISIBLD never blends grounded and ungrounded results.
Within the Distribution layer, VISIBLD maps presence across 40 surfaces in 8 tiers: entity anchors (Wikipedia, Wikidata, Crunchbase, LinkedIn), review (G2, Capterra, TrustRadius, Software Advice, Trustpilot), technical and developer (GitHub, Stack Overflow, Hacker News, Hugging Face), press and wire, community (Reddit, Quora, Product Hunt), ecosystem directories, firmographic databases, content distribution.
Live prompt matrix (4-stage buyer-journey battery) · AI Share of Voice against named competitors · citation source analysis (own-domain citation rate, source-type mix) · sentiment and narrative analysis · hallucination and brand-safety scan against a verified fact sheet · grounded-vs-ungrounded finding · per-layer scores with printed derivations · server-log AI-bot crawl analysis (if a log is provided) · evidence appendix with every raw request and response.
Prioritized 30/60/90-day roadmap · ready-to-deploy JSON-LD schema blocks · a complete llms.txt written for the brand · content rewrites (entity-anchored opening, question-led FAQ, meta descriptions, first-200-words guidance) · entity-consolidation plan · ROI framing · developer-ready implementation spec.
No invented AI-search rankings or query volumes. No live AI Overviews or Copilot via API (those stay assisted). No backlink or domain-authority numbers without a real third-party key. No "are we in the training data" detection. No social follower counts. Where a number is not real, VISIBLD shows a dash and tells you how to obtain it.
VISIBLD audits are grounded in peer-reviewed GEO research from Princeton University, Georgia Tech, and the Allen Institute for AI (arXiv:2311.09735), Yext's analysis of 17.2 million ChatGPT citations (Wikipedia = 47.9%), Foundation and AirOps' 57-million-citation analysis (Reddit = 46.7% of Perplexity B2B citations), and SEranking's 30,000 commercial keyword analysis (review platforms = 34.5% of Google AI Overviews queries). VISIBLD was founded by Jordan Neville , who reviews the judgment calls a tool cannot make alone.