VISIBLD — AI Visibility Intelligence

VISIBLD — GEO Audit Platform Built by AI

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.

What is VISIBLD?

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.

Who is VISIBLD for?

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.

Why does AI visibility matter?

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.

The 5-layer GEO Score

  • Technical (25%) — ~90–100% measured. Schema (types + validity), meta/OG, canonical, hreflang, robots.txt AI-bot allow/block for ~17–21 named crawlers, sitemap, llms.txt, HTTPS, Core Web Vitals.
  • Content (10%) — measured spine + expert quality. Page inventory, FAQ detection, question-shaped-heading ratio, first-200-words extraction, site-wide thin-page signals.
  • Entity (20%) — measured + expert. JSON-LD graph, sameAs targets, NAP consistency, real existence checks against Wikidata, Wikipedia, Google Knowledge Graph.
  • Distribution (20%) — partial measured + assisted. On-site Review/AggregateRating schema, sameAs→profile links, directory presence (most directories block bots → assisted), referring domains (needs API key).
  • Authority (25%) — expert + human verification. Structured awards/credentials, authority synthesis, real-world credential verification (bar standing, licensure) — critical for YMYL.

Every score reports its measured-fraction — the percentage of hard-measured data vs. expert judgment. Scores reflect reality, not flattery.

The 8 platforms VISIBLD tests (with provenance)

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.

Distribution sub-detail — 40 citation surfaces

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.

What every audit returns

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.

The Fix Kit (every audit)

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.

What VISIBLD does NOT claim

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.

Pricing

  • Free GEO Score Check — $0. 60-second composite score with 5-pillar breakdown. No credit card required.
  • Starter — $800. 4 LLMs, 20-prompt library, top 10 findings, 30-day action plan, 1 asset rewrite. 15–20 page PDF. Delivered in 1 hour.
  • Professional — $2,000. 8 LLMs, 50 prompts, full 40-surface audit, 90-day roadmap, 3 asset rewrites, competitive AI Share of Voice vs. 5 competitors. 35–50 page PDF. Delivered in 1 hour. Most popular tier.
  • Enterprise — $5,000. 10 competitors, 8 asset rewrites, measurement framework, executive briefing memo. 60–80 page PDF. Delivered in 1 hour.
  • Monitoring Retainer — $2,500/month. Monthly 50-prompt × 8-LLM cadence, GEO Score tracking, hallucination monitoring, competitive SOV update, 2 asset rewrites monthly, quarterly re-audit, monthly CMO briefing memo.

Built by AI

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.

Key pages