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Competitor Benchmarking

Every scan tracks your competitors alongside your brand. See share of voice per model, per prompt. Know exactly which competitors AI platforms favor and where you need to close the gap.

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You don't know your share of voice in AI

When a customer asks ChatGPT to recommend a product in your category, multiple brands get mentioned. The question isn't just whether you appear — it's whether you appear before or after your competitors.

SEO tools show you keyword rankings against competitors on Google. But AI responses work differently. A brand that ranks #1 on Google might not appear in ChatGPT's recommendation at all, while a competitor with weaker SEO dominates AI responses.

Without competitor benchmarking across AI platforms, you can't measure your share of voice in the channel that's replacing traditional search for product discovery.

How it works

01

Add your competitors

Enter up to 10 competitor brand names. MRKTlabs tracks them alongside your brand in every scan, across every prompt and model.

02

Run a scan

Each AI response is analyzed for your brand and every competitor. You see who gets mentioned, in what order, and how often — per model.

03

Compare share of voice

View side-by-side tables showing your brand vs competitors across all 6 models. Identify which models favor competitors and which prompts you're losing.

What you see in MRKTlabs

Share of voice table: your brand vs competitors per model
Per-prompt competitor mentions
Position comparison — who gets mentioned first
Competitor visibility trends over time
Model-specific competitor strengths
Prompts where competitors outperform you

How MRKTlabs compares

MRKTlabsSemrushAhrefs
AI model tracking6 AI platformsGoogle onlyGoogle only
AI share of voice
Per-prompt competitor data
SEO competitor tracking
Cross-model comparison

Start using Competitor Benchmarking

Set up your brand, run your first scan, and see competitor benchmarking in action.

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