Feature
detection

Competitor Monitoring

Track up to 25 competitors across every AI engine and see exactly where they outrank you.

Quick answer
Understanding your own AI visibility is only half the picture. Competitor Monitoring shows you who else AI engines recommend when users ask about your category, how those competitors are described, and where they appear instead of — or alongside — your brand. It turns a vague sense of competitive pressure into a precise, engine-by-engine breakdown.
How it works

Competitor Monitoring in detail

When you configure your brand in AEO Platform, you define a competitive set — the specific brands you want to track. The platform also auto-discovers competitors by analysing AI engine responses for your category queries and surfacing brands that appear alongside yours. You can accept or dismiss these suggestions at any time.

On each monitoring cycle the platform tracks every competitor across every prompt and every engine. Each competitor mention is tagged with the same metadata as your own brand mentions: sentiment, position in the response, context type, and co-mentioned brands. This creates a symmetric dataset where your brand and every competitor are measured with the same methodology.

The competitive dashboard presents this data as a leaderboard, a trend chart, and a gap matrix. The leaderboard ranks brands by Share of Model. The trend chart shows how each competitor's score evolves over time. The gap matrix highlights specific prompts where a competitor appears and you do not — these are the highest-value optimisation targets.

Benefits

Why Competitor Monitoring matters

1

See which competitors AI engines favour for every prompt family in your category

2

Detect new competitors entering your AI visibility space before they appear in organic search

3

Identify the specific prompts where competitors appear and you do not

4

Track competitor sentiment to spot reputational shifts early

5

Prioritise content creation based on competitive gap data rather than guesswork

6

Monitor up to 25 competitors per brand across all supported engines

Use cases

When to use Competitor Monitoring

A product marketing team discovers that a lesser-known competitor has higher AI visibility for "enterprise" queries and adjusts messaging accordingly.
An SEO lead identifies five high-intent prompts where two competitors appear but the brand does not, then creates targeted content.
A VP of marketing uses competitive trend data to justify budget for an AI visibility programme.
An agency surfaces AI competitor data in monthly client reports to demonstrate the AI visibility gap.
FAQ

Competitor Monitoring 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.