Transparency
We benchmark perception across models—not vibes. Here are live latency and stability signals from real GEO prompt traffic over the last 7 days.
Numbers refresh from production runs: average response time, tail risk (P95), slow-request rate, and a simple quality score. Use them as context—then run your own GEO on your URL.
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Same funnel as homepage · Results in ~5 minutes
Aggregated from real prompt responses over the last 7 days—avg latency, tail risk (P95), and a simple quality score. Useful context before you run your own analysis.
Weighted by request volume. Compare models we actually use in production GEO workflows.
| Model | Requests | Avg | P95 | Slow rate | Vs prior week | Score |
|---|---|---|---|---|---|---|
| grok / grok-4-1-fast-non-reasoning | 900 | 8130 ms | 12954 ms | 23.33% | +309 ms | 0 |
| openai / gpt-4o-mini | 898 | 8797 ms | 13467 ms | 37.75% | -2155 ms | 0 |
| anthropic / claude-haiku-4-5 | 900 | 11749 ms | 18673 ms | 71.11% | -268 ms | 0 |
| perplexity / sonar | 900 | 12427 ms | 18612 ms | 69.11% | -804 ms | 0 |
| deepseek / deepseek-chat | 879 | 12903 ms | 26865 ms | 48.81% | +3214 ms | 0 |
Paste your URL—immediate start, multi-model GEO pipeline.
Short clarifications — positioning and proof live in the sections above.
Latency and stability signals from real GEO prompt responses: average time to answer, P95 tail latency, share of slow responses, and a composite score—broken down by provider and model.
GEO depends on model behavior. Transparent throughput signals build trust that analyses run on live infrastructure—not a single cherry-picked answer.
For each model we compare average latency in the last 7 rolling days to average latency in the 7 days before that. Positive means slower than the prior week.
No—it is operational transparency. Your GEO report still requires your URL and our full interpretation pipeline.
Relevant pages to go deeper into GEO strategy and platform capabilities.