VΞCTORY
VECTORY · Research & Insights
● VECTORY BLOG

Field notes from the AI-citation frontier.

Deep dives, benchmark analyses, and engineering notes from the team building Vectory. Topics: AEO, GEO, AIO, llms.txt, MCP, Schema.org, Quality Gate methodology, and how ChatGPT, Gemini, Perplexity, and Claude actually decide who to cite.

Recent articles

AI Visibility

AI Visibility — Everything You Need to Know in 2026

The full primer: what AI visibility actually is, how it differs from SEO, and the 12 metrics that matter for measuring it across ChatGPT, Gemini, Perplexity, and Claude.

14 min readApr 2026
Compare

VECTORY vs Alternatives — An Honest Comparison

How Vectory stacks up against Profound, Peec AI, ZipTie, Surfer SEO, Clearscope, MarketMuse — with the parts where competitors actually win called out.

11 min readApr 2026
GEO

Complete Guide to GEO Optimization

Generative Engine Optimization (GEO) in Q1 2026: technical benchmarks, RAG architecture patterns, and implementation frameworks for B2B SaaS AI visibility.

12 min readApr 2026
AIO

AIO Optimization — Expert Analysis & Insights

AI Index Optimization explained: how to make sure AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) ingest your site cleanly. Including llms.txt and MCP.

10 min readApr 2026
AEO

Latest on Answer Engine Optimization — Trends & Update

State-of-the-market for Answer Engine Optimization (AEO) in 2026: who's building, who's reporting, what conversion economics look like in zero-click AI traffic.

9 min readApr 2026
AEO · GEO · AIO

AEO vs GEO vs AIO — The Complete Guide to AI Search Optimization Methods

The three pillars of AI search visibility, side-by-side: Answer Engine Optimization, Generative Engine Optimization, and AI Index Optimization. When to use each, how they stack, and what ChatGPT / Gemini / Perplexity / Claude care about most.

16 min readMar 2026
AEO

What Is AEO? The Complete Guide to Answer Engine Optimization in 2026

Foundational primer: how AI answer engines extract and cite content, what makes a page "answer-grade," and how AEO differs in mechanics from classic SEO. With concrete checklist.

14 min readMar 2026
GEO

GEO vs SEO — Why Generative Engine Optimization Is the Future of Search

Where Google rankings stop mattering and AI citations start. Side-by-side mechanics, ranking signals each system uses, and why GEO and SEO need to coexist for the next 24 months.

13 min readMar 2026
llms.txt

llms.txt — The New robots.txt for AI · Complete Implementation Guide

Syntax, examples, and 2026 best practices for the emerging llms.txt standard. How ChatGPT, Claude, and Perplexity use it to discover and prefer your canonical content.

12 min readMar 2026
NVS

Neural Visibility Score (NVS) — How We Measure AI Search Presence

The 0–100 composite metric powering Vectory's audits. What goes into the score, how it's normalized across engines, and how to read NVS deltas after a deployment.

10 min readMar 2026
Schema.org

Schema.org for AI Visibility — Beyond Traditional Rich Snippets

Why JSON-LD now matters for LLMs even more than it did for Google rich results. Implementation patterns for Organization, Product, FAQ, HowTo, and SoftwareApplication.

11 min readMar 2026
Audit

AI Citation Gap Analysis — How to Find Where Competitors Win

The systematic methodology Vectory uses internally to surface every prompt where a competitor is cited and you aren't. Tools, queries, and the exact close-the-gap workflow.

12 min readMar 2026
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