AI Competitor Lab — Track Brand Mentions Across ChatGPT, Gemini & AI Overviews

The AIVARO Competitor Lab shows you exactly which brands AI engines recommend — and where your brand stands in every comparison. Discover the competitors users hear about when they ask ChatGPT, Gemini, Google AI Overviews, or Perplexity for advice in your category, measure your share of voice, and identify the narratives that move you up or push you out of the answer.

Why Competitive Intelligence in AI Engines Is Different

In Google's blue links, every result is a separate click and a separate chance. In AI answers, only one or two brands typically get named — and that recommendation defines the consideration set. Knowing which competitors win the answer, in which engines, for which prompts, is the new competitive battleground. AIVARO gives you the structured data to win it.

How Competitor Lab Works

  1. Automatic discovery: Every AI response is scanned for brand and product names; new competitors are surfaced as suggestions you can accept with one click.
  2. Historical backfill: Newly added competitors are matched against all past prompt results so trends are immediate.
  3. Continuous tracking: Share of voice, mention rate, recommendation rate, and average position update on every test run.

Competitor Lab Capabilities

Who It's For

Frequently Asked Questions

How does AIVARO detect competitors?

A centralized matching heuristic identifies brand and product names in every AI response, deduplicates variants, and links them to one canonical competitor entity.

Can I add competitors manually?

Yes. Add any competitor by name and URL; historical data is backfilled automatically across past prompt results.

What is share of voice based on?

Share of voice is calculated per project and per engine as your brand's mentions divided by the total mentions of you and all tracked competitors in the selected time range.

Related Features

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