Feature
detection

Brand Mention Tracking

Know exactly when and where AI engines mention your brand, across every model and every prompt that matters.

Quick answer
AI engines are now the first place many buyers look when they research a product, a category, or a brand. If ChatGPT, Perplexity, or Gemini mentions your brand in a recommendation list, that mention shapes perception before the user ever visits your website. Brand Mention Tracking gives you a continuous record of those mentions so you can see precisely how each engine describes you and in what context.
How it works

Brand Mention Tracking in detail

AEO Platform maintains a query bank tailored to your brand, category, and competitive set. On every monitoring cycle the platform sends those queries to each supported AI engine and parses the full response. Natural-language processing extracts every mention of your brand, identifies surrounding context, and classifies the mention by type: recommendation, comparison, factual description, or cautionary note.

Each mention is stored with rich metadata — the engine, the prompt, the timestamp, co-mentioned brands, sentiment polarity, and a confidence score. A deduplication layer ensures that minor wording changes between runs are not counted as separate events while genuine shifts in positioning are highlighted.

You interact with the data through a unified mention feed, time-series charts, and engine-level breakdowns. Filters let you drill into a single engine or a single prompt family, and export options send the data to CSV, PDF, or the REST API for downstream consumption.

Benefits

Why Brand Mention Tracking matters

1

Detect AI brand mentions within hours of a model update or retrieval change

2

Identify inaccurate or outdated brand descriptions before they reach thousands of users

3

Track mention frequency trends across engines to measure optimisation impact

4

Surface competitor co-mentions to understand your positioning in AI-generated lists

5

Feed mention data into dashboards, Slack alerts, or external BI tools via API

Use cases

When to use Brand Mention Tracking

A SaaS marketing team monitors weekly mention counts to measure the impact of a new comparison page.
A brand manager flags an inaccurate product description surfaced by Perplexity and triggers a corrective content workflow.
An agency tracks client brand mentions across ChatGPT, Gemini, and Claude to generate monthly visibility reports.
A fintech compliance team reviews AI-generated brand descriptions for regulatory accuracy.
FAQ

Brand Mention Tracking FAQ

Get started

Start with the pages and proof that AI can actually use

Run the free audit to see what blocks AI from citing your site. Use the trial when you need ongoing monitoring, attribution, prompt discovery, and team workflows after the first fixes are live.