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.
Start tracking nowYou 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
Add your competitors
Enter up to 10 competitor brand names. MRKTlabs tracks them alongside your brand in every scan, across every prompt and model.
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.
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
How MRKTlabs compares
| MRKTlabs | Semrush | Ahrefs | |
|---|---|---|---|
| AI model tracking | 6 AI platforms | Google only | Google 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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