# VECTORY — AI Search Visibility Engine

> Vectory is the world's most advanced platform for AI-Driven Search Visibility. It measures, analyzes, and optimizes how brand entities are cited by ChatGPT, Gemini, Perplexity, and Claude using a proprietary 4-stage adversarial pipeline (Watchtower → Sonar → Fabricator → Shield → Deploy).

This file follows the [llms.txt](https://llmstxt.org/) convention so AI engines can ingest a curated map of the most useful pages on vectory.space.

## About
Vectory is an AI Search Visibility Engine built for the post-Google era. Brands publish content for humans, but increasingly the discovery surface is ChatGPT, Gemini, Perplexity and Claude — and those engines cite their own short-list of sources. Vectory measures whether your brand makes that short-list, diagnoses why it doesn't, and ships the structural and content fixes (schema markup, llms.txt, MCP manifest, AI-magnet articles, hallucination patrol) on a weekly cadence inside one product.

## Brand
- Name: VECTORY
- Operator: Crean Labs
- Founded: 2025
- Site: https://vectory.space
- Contact: creanlabs@gmail.com · @Vectorylab on Telegram
- Category: Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), AI Index Optimization (AIO), AI Visibility, LLM Citation Optimization

## Summary (one sentence)
Vectory tracks where your brand is invisible across the four major AI engines (ChatGPT, Gemini, Perplexity, Claude), then ships the fixes — content, schema, llms.txt, MCP, hallucination patrol — inside the same product on a weekly cadence.

## Products & Services
- **Free NVS Check** ([/tools/nvs-checker/](https://vectory.space/tools/nvs-checker/)) — public 0-100 Neural Visibility Score with 8 structural sub-checks and an optional Gemini mention rate. No signup, no email.
- **Initial 4-engine audit** (free, no credit card) — full SONAR scan across ChatGPT, Gemini, Perplexity, Claude on ~30 of your category's prompts; delivers an NVS / SOV / GAP report. Runs inside the Concierge Beta intake.
- **Essential tier** ($1,500/mo + $2,500 setup) — 1 brand · 1 locale · 2 engines · 50 prompts · weekly re-scan · NVS / SOV / GAP dashboard · schema + llms.txt + MCP deployed · 2 AI-magnet articles per month · email & Telegram support.
- **Growth tier** (popular) — up to 3 brands · 3 locales · all 4 engines · 250 prompts · twice-weekly re-scan · Adversarial Quality Gate · Hallucination Shield · 5 AI-magnet articles per week · monthly insights call · 24/7 dedicated manager · API access · CSV exports · webhooks.
- **Enterprise tier** — unlimited brands · unlimited prompts · custom engine routing (regional / on-prem / vertical LLMs) · daily re-scan · real-time alerts · SSO / SCIM · audit logs · GDPR DPA · SLA-backed 99.95% uptime · dedicated R&D pod · quarterly strategy reviews.

## Solutions / Use cases
- **Brand defense in AI search** — keep founders, products and pricing accurate when ChatGPT/Gemini/Perplexity/Claude answer category queries.
- **Competitive parity** — measure SOV against named rivals, close the citation gap on the prompts that drive intent.
- **Network / hub-spoke brands** — bidirectional schema graph for parent + N spoke domains, brand-context injection at intake to prevent hallucination across the network.
- **Self-audit before procurement** — run a Free NVS Check in 30 seconds before deciding whether managed audit makes sense.

## Core URLs
- [Home](https://vectory.space/): Product overview, NVS scoring, 4-engine pipeline, Concierge Beta CTA.
- [How It Works](https://vectory.space/how-it-works.html): Animated 5-tier walkthrough of the adversarial pipeline (Watchtower → Sonar → Fabricator → Shield → Deploy).
- [Marketing Ops vs Engineering](https://vectory.space/marketing-engineer/): The 2026 role split AI-search visibility forces on marketing teams. Map of 26+ VECTORY surfaces to Ops vs Engineering ownership.
- [Scoring methodology](https://vectory.space/v1/r/scoring-4kwftmje): Open Neural Visibility Score (NVS), Share of Voice (SOV), GAP Analysis, Authority-Weighted Citation Index.
- [Compare hub](https://vectory.space/v1/r/compare-goendegz): Vectory vs Profound, Peec AI, ZipTie, Surfer SEO, Clearscope, MarketMuse — feature matrix and per-rival deep dives.

## Compare — per-competitor deep dives
- [vs Profound](https://vectory.space/compare/profound-alternative/): Honest comparison with the leading pure AI-visibility tracker. Vectory adds Claude as a tracked engine + ships fixes; Profound stops at the dashboard.
- [vs Peec AI](https://vectory.space/compare/peec-ai-alternative/): Honest comparison with Peec AI. Vectory's Quality Gate + auto-deploy beats Peec's report-only model.
- [vs ZipTie](https://vectory.space/compare/ziptie-alternative/): Honest comparison with ZipTie. Vectory tracks 4 engines; ZipTie tracks 2 + has no fix-ship pipeline.
- [vs Surfer SEO](https://vectory.space/compare/surfer-seo-alternative/): Surfer SEO is built for Google rankings; Vectory is purpose-built for AI citation. Different tools, different games.
- [vs Clearscope](https://vectory.space/compare/clearscope-alternative/): Clearscope optimizes for keyword coverage; Vectory optimizes for AI citation across 4 engines + ships schema/llms.txt/MCP automatically.
- [vs MarketMuse](https://vectory.space/compare/marketmuse-alternative/): MarketMuse is enterprise content planning; Vectory is enterprise AI visibility R&D. Comparison clarifies which tool solves which problem.

## Key concepts (Vectory-coined)
- Neural Visibility Score (NVS): A 0–100 composite measuring how reliably an entity is cited across the four major AI engines.
- Share of Voice (SOV): Percentage of brand-relevant prompts where the entity is cited at all, per engine.
- GAP Analysis: Per-prompt diagnostic of why the entity was *not* cited (missing schema, weak source, factual gap, brand-mention deficit).
- Adversarial Quality Gate: Self-test loop that re-tests every published page against ~10 target prompts, patches weak spots, rolls back on regression.
- AI-Magnet content: Content engineered to the patterns each LLM rewards (citation-friendly structure, source clarity, FAQ scaffolding, schema reinforcement).
- Hallucination Shield: Auto-flag of factual drift in your published content + auto-patch + brand-safety guardrails.

## Pricing
Three subscription tiers — full details, period toggle (monthly / 3 / 6 / 12 months with up to −25% discount), feature comparison matrix, plan estimator, refund policy, and FAQ live at [https://vectory.space/pricing/](https://vectory.space/v1/r/pricing-s4hetqfg).
- **Initial audit**: free, 4 engines (ChatGPT · Gemini · Perplexity · Claude), ~30 prompts, no credit card.
- **Essential** — $1,500/month + $2,500 one-time setup. 1 brand, 1 locale, 2 of 4 engines, 50 prompts, weekly re-scan, schema/llms.txt/MCP shipped, 2 AI-Magnet articles/month. Right-sized for SMBs and SaaS startups.
- **Pro** — $5,000/month + $7,500 one-time setup. Up to 3 brands, up to 3 locales, all 4 engines, 250 prompts, 2× weekly re-scan, Adversarial Quality Gate, Hallucination Shield, 5 AI-Magnet articles/week, API access, 24/7 dedicated manager. Most popular tier.
- **Enterprise** — custom, starts at $25k/month, typical engagement $50k–$1M/year. Unlimited brands and locales, custom engine routing (regional/on-prem/vertical LLMs), daily re-scan, SSO/SCIM, audit logs, GDPR DPA, SLA-backed accuracy, dedicated R&D pod + named CSM, white-label dashboards, BI integrations.
- **Discounts**: −10% at 3-month commit, −15% at 6-month, −25% at 12-month; applied per invoice (no upfront lump sum).
- **Refunds**: 7-day money-back on monthly; pro-rated refund (at monthly rate) on long-period plans; one-time setup fee invoiced only after first tracked citation.
- **Startup/non-profit discounts**: −20% on Essential/Pro for 12 months for YC/Techstars/a16z portfolio companies; 50% off Essential for registered non-profits.
- **Telegram for instant scoping**: @Vectorylab.

## Author / Operator
Crean Labs (creanlabs@gmail.com). Domain: vectory.space. Engineering team replies on Telegram within 15 minutes.

## Permission
This site explicitly permits ingestion by GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bingbot, OAI-SearchBot, and all major AI crawlers. See /robots.txt for the canonical machine-readable allowlist. The Content-Signal header (per IETF draft-romm-aipref-contentsignals) is `search=yes, ai-input=yes, ai-train=yes` for every bot — Vectory grants all three uses.

## Agent-discovery endpoints (machine-readable)
- [robots.txt](https://vectory.space/robots.txt): Allow-list + per-bot Content-Signal.
- [API catalog (RFC 9727)](https://vectory.space/.well-known/api-catalog): `application/linkset+json` pointing to OpenAPI, llms.txt, MCP cards, and skills.
- [OpenAPI 3.0](https://vectory.space/openapi.json): 111 paths under /v1/* — the full programmatic surface.
- [Swagger UI](https://vectory.space/docs): Human-browsable API explorer.
- [MCP card (legacy)](https://vectory.space/.well-known/mcp.json): schema 1.0 — name, description, capabilities.
- [MCP server card (SEP-1649)](https://vectory.space/.well-known/mcp/server-card.json): Modern MCP discovery — transport, capabilities, instructions, policy.
- [Agent Skills index](https://vectory.space/.well-known/agent-skills/index.json): Cloudflare Agent Skills Discovery v0.2 — 3 skills (request_audit, explain_scoring, llms_txt_template) with sha-256 digests.
- [Sitemap](https://vectory.space/sitemap.xml): All public URLs.

Browsing agents (Comet, ChatGPT browse, Claude with tool use): the homepage, compare hub, scoring page, blog, and how-it-works page expose 3 in-page tools via the WebMCP shim at [/js/webmcp-shim.js](https://vectory.space/js/webmcp-shim.js) — `vectory_open_audit_form`, `vectory_open_compare_hub`, `vectory_get_scoring_methodology`. Tools call `navigator.modelContext.provideContext({tools})` when the API is present; no-op otherwise.