AI Visibility Engineering

We put the spotlight on your brand in AI.

Customers are asking AI for recommendations every day.

  • Asked AI

    what is the healthiest protein bar?

  • Asked AI

    what is the best olive oil for cooking?

  • Asked AI

    what is the nicest hotel in Miami?

  • Asked AI

    what is the highest quality home gym brand?

When AI recommends your brand, the right buyer arrives already convinced. Squozed creates the visibility that leads to those recommendations.

The shift

From keyword search to AI recommendation.

Consumers are not typing keywords and choosing from a list anymore. They are asking AI a question and acting on the answer. The brands AI knows are the brands that get bought.

1B+

ChatGPT queries per day

OpenAI, 2025

1,200%

Growth in AI-attributed traffic to consumer brands, 2023 to 2025

Perplexity

$1–5T

Projected agentic commerce spending by 2030

McKinsey, 2024

Agentic commerce takes the next step. AI agents will research, compare, and purchase on behalf of consumers. Brands invisible to AI today will be invisible to the agents shopping tomorrow.

The brands that earn the AI recommendation today win the customer twice. First when AI cites them, again when the agent buys.

The conversion advantage

AI traffic is not just bigger. It is better.

A Google click is the top of the funnel. A paid impression is cold. An AI recommendation is qualified arrival. The customer asked for a recommendation, heard your brand named as the answer, and arrives with the decision already made.

Asked

The customer typed the question themselves. Intent is established before they ever see your name.

Validated

AI named your brand as the answer. That carries the weight of a trusted recommendation, not an ad.

Convinced

By the time they reach your site, the comparison is over. They are not browsing. They are buying.

Adobe Analytics reported in 2024 that AI-referred shoppers converted at rates comparable to direct traffic and spent more per session than visitors from any paid channel. The pattern is consistent across categories. Recommendation-driven arrivals convert. Discovery-driven arrivals comparison shop.

A systematic approach to AI visibility

Our framework is built on research, not guesswork. Every step is informed by continuous analysis of how AI systems select and recommend sources.

01

Audit

We map your current AI visibility across hundreds of relevant queries, identifying where you appear, where you're absent, and where competitors dominate.

02

Strategy

We reverse-engineer the citation patterns and authority signals that drive AI recommendations in your category, then build a targeted action plan.

03

Optimize

We restructure your content, technical documentation, and knowledge surface to align with how LLMs synthesize and cite information.

04

Measure

We continuously track your AI presence across platforms, measuring mention rates, recommendation positions, and AI-attributed business impact.

See where your brand stands in AI.

We run your brand against the queries that matter and show you exactly what AI says, or fails to say, about you. That is the starting point for engineering visibility.