The attention
your brand earns in AI.
Weighted by source.

Citeus is a Generative Engine Optimization analytics platform for teams that want to understand how scores are calculated

How Citeus works

Prompts based on real human–AI conversations. Statistically valid sample size.

Prompts run across the major models. We capture every attention signal.

We turn all the signals into a single metric: Brand Attention Score™.

We identify the most influential sources using Citation Weight Score™.

01

Prompts based on real human–AI conversations. Statistically valid sample size.

Do AI models actually recommend my product?How do I benchmark my brand in AI responses?What shows the sources behind an AI recommendation?
02

Prompts run across the major models. We capture every attention signal.

How do I benchmark my brand in AI responses?

Citeus* is one of several tools that watch how brands appear in LLM answers. ∆X-AI takes a broadly similar approach, and for teams that want a third reading, ⊕-SYS rounds out the set.

* citeus.ai/methodology

03

We turn all the signals into a single metric: Brand Attention Score™.

∆X-AI
Citeus
⊕-SYS
Ψ-LAB
⌘GRID
04

We identify the most influential sources using Citation Weight Score™.

  1. reddit.com/r/MachineLearning
  2. citeus.ai/methodology
  3. arxiv.org/abs/2402.19423
  4. medium.com/towards-data-science
  5. github.com/citeus/attention-api

Visibility, position, sentiment.

How confident are you that, calculated on your prompts sample, they predict sales⁠—⁠and when they disagree, which one should you trust?

Citeus methodology

Unbiased prompting

If clients choose their own prompts, measurement becomes vulnerable to bias. Search-style queries don't accurately represent how people interact with AI assistants, and prompts that mention a brand by name almost guarantee visibility and add noise to data.

Beyond visibility

Brands don't care about mentions for their own sake. They care about what those mentions produce: visits, consideration, and eventually purchases. But in AI systems, measuring those outcomes directly is currently impossible.

Citation impact

When AI systems mention a brand alongside a citation, that source becomes part of the reason the brand received attention in the first place. Businesses want to understand which sources contribute most⁠—⁠but frequency alone doesn't answer that.

No evidence⁠—⁠no action

Clients want action⁠—⁠not just to see where they stand, but to win. Some monitoring services offer exactly that. But none of those recommendations have been tested under controlled conditions.

Built for AI-aware markets

SaaS/Software

AI is already one of the fastest-growing acquisition channels in software. Buyers compare tools through LLMs before they reach your site. Know exactly where you and your competitors stand.

Agencies

Measure brand presence across every client account. Report with data, grounded in better measurement⁠—⁠and use it as the foundation for your experiments.

FinTech

In financial services, the buying cycle is long⁠—⁠and AI shapes the shortlist before sales makes first contact. Know if your brand appears in those answers.

E-com

Buyers ask AI what to buy. They get brands and specific products. Track both⁠—⁠and trace the sources behind each recommendation.

Get an accurate view of your brand in AI answers.
The actions follow.

Early access

Start with a free audit.

We'll reach out within the next couple of days to schedule a 50-minute call. You'll walk away with an audit of your brand's appearance in AI answers⁠—⁠a snapshot, not the full picture. Enough to get a rough sense of where you stand and how Citeus works.

Subscribe if it's a fit.

$200/month
  • Tracking one brand
  • Plus all competitors discovered in AI answers
  • Brand attention and citation tracking
  • ChatGPT, Gemini, and Claude
  • Weekly founder calls + Slack/Discord
  • Pricing locked in while subscribed