Operational AI visibility, in production.

The Problem

The company had strong Google rankings but saw zero correlation between organic traffic and AI-attributed pipeline. When marketing ran win/loss surveys, buyers consistently mentioned “I asked ChatGPT” — but the product wasn't appearing in those answers. The team had no way to measure why, or what to fix first.

The Approach

Veezow's first scan surfaced three root causes: GPTBot was partially blocked in robots.txt, the company had no Wikipedia entity page despite 8 years of operation, and Organization schema was missing sameAs references to Crunchbase and LinkedIn. The content team ran a citation gap analysis to identify which competitor pages were being cited on queries the company should own.

The Outcome

Over 11 weeks, Perplexity citation count grew from 6 to 14 — a 2.3x increase. ChatGPT citations rose 40%. The Wikipedia page creation, sameAs additions, and robots.txt fix accounted for the majority of the lift. Weekly monitoring caught two subsequent citation drops early enough to address before they became pattern.

The Problem

A competitor had published a series of authoritative comparison articles that began showing up heavily in Claude and Perplexity answers for category queries. The fintech brand's AI visibility score dropped 9 points over 6 weeks before they noticed — because they were looking at organic traffic, not citation counts.

The Approach

Veezow's competitor monitoring surfaced the surge in week 3 of the drop. The team used the citation matrix to identify exactly which queries were driving the competitor's gain, then briefed three content pieces targeting those specific query patterns — with structured data, Reddit AMA presence, and HN Show threads as distribution anchors.

The Outcome

Citation share recovered over 8 weeks. The weekly monitoring alerts now flag competitor surges within 7 days rather than 6 weeks. The content team runs citation gap reports before every editorial sprint — not after organic rankings shift.