VISIBLD — AI Visibility Intelligence
VISIBLD is a generative engine optimization (GEO) audit platform built by AI to help companies be seen by AI. The platform measures how companies appear across ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, DeepSeek, and Meta AI, audits 40 citation surfaces, and delivers decision-ready PDF reports with 90-day prescriptive roadmaps. Free 60-second GEO Score Check. Starter audits from $800 delivered in 1 hour. Built by AI. Location: Everywhere.
VISIBLD is a GEO audit platform built by AI. It measures and improves how companies appear in AI-generated responses across the 8 major large language model platforms — ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, Grok, DeepSeek, and Meta AI. VISIBLD produces a 0–100 GEO Score, maps 40 citation surfaces, tests 50 buyer prompts at 5 runs each, detects hallucinations, and delivers a phased 90-day roadmap.
VISIBLD serves B2B technology companies, B2C consumer brands, DTC and eCommerce businesses, and service organizations. The 5-pillar methodology is identical 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× the rate of organic search (Semrush, 2025). Only 3–4 brands are cited per LLM response (BrightEdge, 2025) — there is no page two in an AI answer. 80% of B2B deals are won by the vendor on the buyer's Day-1 shortlist (6sense, 2025) — a shortlist now assembled inside an LLM before the first vendor contact.
Every score reports its measured-fraction — the percentage of hard-measured data vs. expert judgment. Scores reflect reality, not flattery.
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 organized in 8 tiers — entity anchors (Wikipedia, Wikidata, Crunchbase, LinkedIn), review (G2, Capterra, Gartner Peer Insights, TrustRadius, Trustpilot), technical/developer (GitHub, Stack Overflow, Hacker News, Hugging Face), press/wire, community (Reddit, Quora, Product Hunt), ecosystem directories, firmographic databases, content distribution.
Live prompt matrix (4-stage buyer-journey battery) · AI Share of Voice vs. named competitors · citation source analysis (own-domain citation rate, source-type mix) · sentiment & narrative analysis · hallucination & 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 log provided) · evidence appendix with every raw request/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/Copilot via API (those stay assisted). No backlink/DA numbers without a real third-party key. No "are we in the training data" detection. No social follower counts. Where a number isn't real, VISIBLD shows "—" and tells you exactly how to obtain it.
VISIBLD was conceived, designed, and built using artificial intelligence as the primary development tool. Every audit is produced by AI — 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 × AirOps's 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). All audits are conducted and attributed under Jordan Neville, Senior Director Analyst at Gartner and founder of VISIBLD , lending analyst-grade rigor and accountability.