Pixel — AI Traffic Tracking

The Pixel closes a gap that VS scores alone cannot fill: VS measures whether AI mentions and recommends the brand, but not whether that mention drives actual user behaviour. A brand can have strong VS and weak AI-referred traffic — the mentions are happening but users aren’t clicking through. The Pixel is how AVO detects this gap.

What Pixel tracks

A lightweight snippet installed on the client’s website detects traffic originating from AI platforms. When a user reads an AI response that cites the brand’s page and clicks through, Pixel attributes that session to the specific AI platform and the specific cited page.

Pixel surfaces four things: total AI-referred traffic volume, which pages are being cited and driving traffic, bot versus human traffic differentiation (AI crawlers hitting a page are not citations driving users), and daily aggregates with trend lines.

The two Ava cards

Pixel Traffic — AI platforms are citing the brand and meaningful traffic is arriving. This confirms the VS-to-traffic connection is working and identifies which pages are performing best as citation sources.

Pixel Wasted Citation — AI is citing the brand’s pages, but traffic is not arriving. This is the gap case: the brand is visible in AI responses but users are not clicking through. Causes vary: the citation may appear deep in a long response, the cited page may have a poor experience for users arriving from AI context, or the citation may be appearing in response types where users don’t click through.

The relationship with VS

VS and Pixel measure different things. VS measures AI behaviour — what AI says. Pixel measures user behaviour — what users do after AI says it. Together they form a complete picture. High VS plus strong Pixel data confirms the full chain is working. High VS plus weak Pixel data identifies where the chain breaks.