Use case

AEO for enterprises

Track AI visibility at scale while keeping your prompts and history on your own infrastructure.

Large brands have the most to lose when an AI engine describes them wrongly, and the most scrutiny over where their data goes. Many AI visibility tools are closed and hosted, which means handing your prompt strategy and history to a third party.

AEOTrace changes that. The platform keeps your data in house and lets your team verify exactly how each metric is computed, which matters when the number ends up in a board report.

Prompts that matter here

  • is [brand] trustworthy
  • [brand] vs [competitor]
  • best [category] for enterprise

What to do

  1. 1

    Data control

    Keep prompts and visibility history on your own infrastructure so they never leave your environment.

  2. 2

    Standardize a prompt set

    Use a consistent set of prompts across product lines and regions so results are comparable across the org.

  3. 3

    Benchmark named competitors

    Track share of voice against the specific rivals leadership cares about, on the prompts that matter.

  4. 4

    Audit the methodology

    Transparent metrics mean your team can verify how every score is built, rather than trusting a black-box number.

Where AEOTrace fits

AEOTrace gives enterprise teams full ownership of their data, no vendor lock-in, and the ability to audit the methodology behind every metric.

FAQ

Common questions

Ready to track your AI visibility?

Start with AEOTrace in minutes and monitor how ChatGPT, Claude, and Google AI Overviews talk about your brand. Transparent, auditable, free to start.