Generative AI is the new front door — for businesses, brands, and experts. AIVZ measures whether AI systems will cite your content and orchestrates the fixes to make sure they do. We're building the trust layer for the AI era.
For 25 years, search engines indexed pages and ranked them by relevance. The model worked because the answer was somewhere on a result page; the user clicked, read, and decided.
That model is being replaced. Generative AI — ChatGPT, Perplexity, Google AI Overviews, Copilot, Claude, Gemini — answers questions directly, often citing only one to three sources. The user doesn't click ten blue links anymore. They get an answer. The cited source wins.
This shift makes most existing AEO and SEO playbooks insufficient. Backlinks and keywords explain only 8–28% of AI citation behavior — depending on the platform. The other 72–92% is a different signal set: structural extractability, entity recognition, schema fidelity, authority signals, citation density, the patterns that make content cleanly extractable by an AI.
That signal set is what AIVZ measures and orchestrates fixes against. The product exists because the existing tools don't cover what now matters most.
When prospective customers ask AI tools "best [your category]" and get answers without your name, that's not a marketing problem — it's a category-defining gap. Companies that aren't measured against the AI citation question will keep losing share without understanding why.
Our 93-factor taxonomy, the three-layer Stack (Access · Understanding · Extractability), and the 11 Citation Core factors are derived from observable AI citation behavior. The question of "is this content built right for AI?" has measurable answers.
Knowing what's broken doesn't fix it. AIVZ is a Command Center — diagnose, orchestrate, execute — because every part of the loop has to close for AEO to actually move scores. Measurement-only tools leave the work undone.
AIVZ is founded by Tony Guarnaccia, who has spent 15+ years building authority infrastructure across every era of digital discovery — from pre-search reputation work, through search-era ranking systems, through the platform era of social and content algorithms, into today's AI-mediated discovery layer.
Tony's professional history covers the structural transitions that brought us to this moment: the shift from offline reputation to search-mediated discovery; the shift from search to platform-algorithm -mediated discovery; the shift now happening from platform-algorithm to AI-mediated discovery. AIVZ is built by a founder who has operated the systems that surfaced expertise and businesses at every prior transition — and who built it specifically because the AI-mediated transition needs a category of tooling the prior eras didn't require.
The product reflects that operator background. AIVZ ships the disclosure discipline of an enterprise-grade tool: every adapter status published, every methodology cite-able, every claim scoped to what the build actually does. The product doesn't outrun the build.
Tony is also the voice behind a body of work on the Authority Economy — the thesis that as AI mediates discovery, recognized trust replaces attention as the scarce resource. That work lives at his personal site. Tony's personal site and writing on the Authority Economy →
Three growth axes: engineering, methodology research, and Customer Success. Profiles below reflect the founding team and senior leads.
15+ years across search, social, and AI-era discovery. Architect of the 93-factor AEO taxonomy.
Owns the 93-factor scoring engine, per-platform adapters, and 198-route REST API. Built and maintained in-house.
Refines the 93-factor taxonomy, three-layer Stack, and Citation Core 11 against observed AI behavior.
Email support for Pro. Dedicated Account Manager for Agency. Dedicated CSM for Enterprise.
AIVZ is the Command Center / execution engine of a broader ecosystem of products built around the same thesis: as AI mediates discovery, businesses and experts need new infrastructure for visibility, authority, and citation.
The Command Center. Diagnoses content across 93 factors and 6 AI platforms, orchestrates fixes by impact and platform, executes via per-platform adapters or delegates through MCP/CLI. This is where the work lives.
The WordPress plugin AIVZ uses to push fixes directly into WordPress sites. Free tier standalone; Pro and Agency tiers sync bidirectionally with AIVZ for full 93-factor scoring. The most mature execution adapter and proof that AIVZ's "We Do It" claim is real today.
See AnswerEngineWPTony's earlier company, focused on the off-site authority workstream — Trust and Authority signals from interviews, podcast appearances, and earned media. Separately operated and separately billed. AIVZ covers on-site; Guestify covers off-site. Different problems, integrated thesis.
See GuestifyTony built Guestify before AIVZ. We surface the relationship openly here because the two products are complementary, not competitive: AIVZ handles the on-site (Site & Page + Content workstreams) of AEO; Guestify handles the off-site (Trust + Authority workstreams). Different problems, different teams, integrated thesis.
AIVZ's 93-factor taxonomy and three-layer Stack are publicly documented and citable. Journalists, podcast hosts, and analysts research the category through the canon.
Direction rather than dates. Specific milestones ship through the changelog.
WordPress is AIVZ's only Live execution adapter today. Five surfaces — Shopify, Wix, Webflow, BigCommerce, and Headless via MCP/CLI — are in Beta. Squarespace is on the roadmap.
The destination: a Command Center where every major web publishing surface has a Live "We Do It" adapter, executable by a single click from the AIVZ dashboard.
The current AI Visibility Score is a structural prediction — it scores how well content is built for AI extraction across 93 factors. The next layer is citation prediction — modeling whether content will actually be cited, against specific prompts and AI platforms.
Developed alongside our peer front door, AuthorityGraph, which surfaces earned authority titles. Roadmapped for the next twelve months.
Agency and Enterprise customers run AEO on portfolios — sometimes hundreds of client domains. The infrastructure to run AEO at that scale (multi-tenant white-label, programmatic API access, configurable per-engagement reporting, certified-practitioner programs) is core to the roadmap.
AIVZ operates as a small, founder-led group — engineering, methodology research, and customer success — supported by ecosystem connections to Guestify and AnswerEngineWP.
TypeScript / Next.js / React; PostgreSQL + Redis infrastructure; BullMQ-based background-worker process. The 93-factor scoring engine, per-platform adapters, and 198-route REST API are built and maintained in-house.
The 93-factor taxonomy, the three-layer Stack, the Citation Core 11, and the topic-relative authority scoring framework are all canon-published and continuously refined as AI citation patterns evolve.
Pro tier is email-supported. Agency tier customers get a dedicated Account Manager. Enterprise tier customers get a dedicated Customer Success Manager. White-glove onboarding handled per-engagement at Enterprise.
Team growth is intentional and slow. We hire for operator credibility over headcount expansion. Engineering, methodology research, and Customer Success are the three growth axes. Open roles are posted at contact.
The free scan is the canonical demo of what AIVZ does. Run a scan on your own site, your competitor's, or a prospect's. See the AI Visibility Score, the three-layer Stack breakdown, and the top three blockers — all on the Free tier, no credit card required.
