The Command Center for Answer Engine Optimization.
AIVZ measures, prioritizes, and executes the work that gets your content cited by AI systems. Across six AI platforms. Across the surfaces where your content actually lives.
AIVZ is the command center for Answer Engine Optimization — it measures, prioritizes, and executes the work that gets your content cited by AI systems, across six AI platforms and the surfaces your content lives on.
Diagnose. Orchestrate. Execute.
Most AEO and AI-visibility tools stop at measurement — they tell you what's wrong and leave the fix work to your team. AIVZ is built around three beats: diagnose what's failing, orchestrate the prioritized fix path, and execute the work where the adapter coverage permits.
Diagnose
Comprehensive measurement across the 93-factor AEO taxonomy. Composite AI Visibility Score (0–100), three-layer Stack breakdown, six per-platform readiness scores, and Authority Rank for off-site signals.
- Every measurement labeled by confidence
- Every recommendation traced to a specific factor
- Runs whether or not you use the rest of the platform
Orchestrate
Prioritized fix paths organized in dependency order — Access before Understanding before Extractability. Per-platform tuning surfaced separately when fixes have engine-specific optimal implementations.
- Schedule-aware: weekly scans, citation event monitoring
- Per-page recommendations grouped into actionable queues
- Score-history tracking with regression detection
Execute
Native execution where AIVZ's adapter coverage permits — schema, content rewrites, FAQ blocks, summary blocks, meta descriptions, llms.txt manifests, robots.txt updates. Across seven execution surfaces.
- WordPress Live; Shopify, Wix, Webflow, BigCommerce, Headless in Beta
- Delegated execution via MCP/CLI for brand-voice work
- The execution layer that makes "Command Center" operational
Together, the three beats turn AEO from an open-ended optimization project into a measured, prioritized, executable workflow. That's what makes AIVZ a Command Center rather than a measurement tool.
Four capabilities. One integrated platform.
The three-beat operating model surfaces through four core capabilities, each available at the appropriate tier.
The AI Visibility Score
The composite 0–100 score. The three-layer AI Visibility Stack. The 93-factor AEO taxonomy. Per-platform readiness across 6 AI engines. Authority Rank for off-site signals. Citation event monitoring.
Read moreThe fix path, then the fix.
Prioritized fix paths organized by Stack dependency order. Per-platform tuning surfaced separately. Native execution adapters across seven surfaces. Delegated execution via MCP and CLI for content beyond AIVZ's native scope.
Read moreResell AEO under your brand.
Full white-label override at Agency tier and above: custom domain hosting, brand asset replacement, branded client portal, white-labeled PDF reports and email templates. Multi-tenant client isolation.
Read moreIntegrations + Developer Surface
198 REST API endpoints. MCP server for direct LLM integration. CLI for headless workflows. Webhook event taxonomy. Native integrations with GSC, GA4, HubSpot, GoHighLevel, Slack, Teams, Looker Studio, Zapier, Make.
Read moreWhat AIVZ measures.
The measurement capability is AIVZ's foundation — every other capability builds on the scan and score outputs.
One score. Three layers. Six platforms.
- Composite AI Visibility Score (0–100) classified into four tiers: AI Authority (90–100), AI Extractable (70–89), AI Readable (40–69), Invisible to AI (0–39)
- Three-layer breakdown per the AI Visibility Stack: Access, Understanding, Extractability
- 93-factor taxonomy coverage across 9 categories with 4 confidence labels per factor
- Per-platform readiness for ChatGPT, Google AI Overviews, Perplexity, Gemini, Microsoft Copilot, voice assistants
- Authority Rank for off-site signal aggregation across 34 organizational and personal signals
- Citation event monitoring for tracking AI citation start/stop events
- Score history + regression detection for tracking changes over time
| Capability | Free | Pro | Agency | Enterprise |
|---|---|---|---|---|
| Score + Stack breakdown | ● | ● | ● | ● |
| Per-platform readiness | ● | ● | ● | ● |
| 93-factor detail | Top | Full | Full | Full |
| Authority Rank | — | — | ● | ● |
| Citation monitoring | — | ● | ● | ● |
| Score history | 7 days | 90 days | 1 year | Unlimited |
The fix path, then the fix.
The recommendations capability turns scan output into a prioritized, executable fix sequence. The execution capability runs the fixes — natively where the adapter is Live, via delegated execution where deeper content work is needed.
For content work beyond AIVZ's native execution scope — long-form rewrites, brand-voice work, complex content reorganization — AIVZ delegates via MCP server integration to Claude, GPT, or Gemini. AIVZ orchestrates, the LLM executes, AIVZ verifies.
Even with delegated execution available, AIVZ refuses three categories: social media post generation, content with fabricated statistics, and pure ad copy. These aren't capability gaps — they're discipline boundaries.
Full recommendations + fix execution detailResell AEO under your brand.
The white-label capability is what turns AIVZ from a measurement tool into a resellable agency product. Available at Agency tier and above; full override of AIVZ-branded surfaces with the agency's own brand identity.
- Custom domain hosting (your-aeo.your-agency.com)
- AIVZ-branded UI replaced with agency's brand assets, logo, color tokens
- Branded client portal — clients see your brand, never AIVZ's
- White-labeled PDF reports with custom letterhead and contact info
- White-labeled email templates for scan + regression notifications
- API responses optionally proxied through agency-branded subdomains
Tier names (AI Authority / AI Extractable / AI Readable / Invisible to AI), Stack layer names (Access / Understanding / Extractability), confidence labels, and tier color tokens are part of the published methodology. They stay in place under white-label.
This is intentional. Methodology consistency is what lets clients trust the score across providers. The methodology stays canonical; the brand wraps around it.
Full white-label + multi-tenancy detailAIVZ fits the stack you already run.
AIVZ doesn't replace your existing SEO, content, or analytics stack. It plugs into it. 198 REST API endpoints, MCP server for LLM-direct integration, CLI for headless workflows, webhook events, and native integrations with the tools your team already uses.
Always-On (9 Live)
Search Console, GA4, HubSpot, GoHighLevel, Slack, Teams, Looker Studio, Zapier, Make. Connect once, AIVZ pushes scan data and score changes into the surfaces your team already monitors.
Self-Service Adapters
WordPress plugin (Live), Shopify app, Wix app, Webflow app, BigCommerce app, Squarespace app (Roadmap). Self-service install via the platform's app marketplace.
MCP Server + CLI
Claude, GPT, and Gemini can read AIVZ scan data and execute fixes via MCP. CLI for CI/CD-integrated AEO checks, automated scoring on deploy, and batch operations across many domains.
REST API + Webhooks
198 endpoints covering scans, scores, recommendations, fix execution, white-label config, and multi-tenant management. Tier-scoped webhook event taxonomy for push-based observability.
Free, Pro, Agency, Enterprise.
AIVZ is offered at four tiers, each scoped for a different use case. Pricing is set at the pricing page; this surfaces capability scope.
| Capability | Free | Pro | Agency | Enterprise |
|---|---|---|---|---|
| AI Visibility Score + Stack breakdown | ● | ● | ● | ● |
| Per-platform readiness (6 platforms) | ● | ● | ● | ● |
| 93-factor detail | High-impact subset | Full | Full | Full |
| Authority Rank | — | — | ● | ● |
| Citation event monitoring | — | ● | ● | ● |
| Score history retention | 7 days | 90 days | 1 year | Unlimited |
| Scans per month | 5 credits | 5,000 | 25,000 | 100,000+ |
| Domain count | 1 | 10 | 50 | Unlimited |
| Team seats | 1 | 3 | 10 | Unlimited |
| Native execution adapters | WordPress | All Live + Beta | All Live + Beta | All + custom |
| Delegated execution (MCP) | — | ● | ● | ● |
| White-label + multi-tenancy | — | — | ● | ● |
| API access | — | Limited | Full | Full |
| SSO / SAML | — | — | — | ● |
| Dedicated CSM | — | — | — | ● |
| SLA | Best effort | Standard | Priority | Custom |
What the platform covers.
What is AIVZ?
AIVZ is the Command Center for AI Visibility — it measures whether AI engines like ChatGPT, Perplexity, Gemini, and Google AI Overviews can find, understand, and cite your content, and runs the fixes from one place.
How is this different from an SEO tool?
SEO tools optimize for ranked links. AIVZ measures the separate signals that appear to drive AI citation — access, understanding, and extractability — so it complements rather than replaces your SEO stack.
Which AI platforms does it cover?
Scoring spans six AI surfaces — ChatGPT, Perplexity, Gemini, Google AI Overviews, Microsoft Copilot, and voice assistants.
Can agencies use it for clients?
Yes. The Agency tier adds white-label reports, a branded client portal, and multi-tenant client management.
Is there a free option?
Yes — a free single-URL scan with no signup and no credit card, returning your AI Visibility Score and top blockers.
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