Free tools

Free AI Crawler Cost Calculator

Model monthly and annual AI crawler costs using your own request volume, response size, compute time, and cloud pricing assumptions.

Copy-paste outputs

Win high-intent buyers from ChatGPT, Gemini, Claude, Perplexity, and AI Overviews before your competitors do.

One operating layer for monitoring, measurement, content action, and technical cleanup.

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Tool 01

AI Crawler Cost Calculator

Model bandwidth, compute, operations, and annual cost using your own infrastructure rates.

Traffic and cloud assumptions
Enter your own provider rates. Nothing is silently assumed.
Estimated infrastructure impact
$2.29/ month
$27.50 / year

Bandwidth

17.17 GB

Origin compute

2.22 vCPU h

Origin requests

100K

Cost per 10k requests

$0.2292

Cost breakdown

Bandwidth egress$2.06
Compute$0.192
Request operations$0.04
Logs / observability$0.00
Volume scenarios
Linear projection using the exact same response, compute, cache, and unit-cost assumptions.

Current

$2.29

100K requests/month

1.5x volume

$3.44

150K requests/month

2x volume

$4.58

200K requests/month

5x volume

$11.46

500K requests/month

Estimate only. Real invoices may include free tiers, minimum instances, database work, CDN pricing, regional rates, logging volume, taxes, and discounts not represented here.

Infrastructure planning

Price AI crawler traffic from observable workload inputs

Crawler cost is not one universal price per request. It is a workload made of response bytes, origin compute, request operations, caching behavior, and observability. This calculator keeps those assumptions separate so the estimate can be audited.

Collect inputs before optimizing

Start with CDN or server logs for request count and transferred bytes. Measure origin duration or CPU from application telemetry, and separate cache hits from origin hits. Then use the current rates from your own provider, account, and region rather than copying a generic cloud price from an article.

The calculator deliberately leaves logging cost at zero until you provide it. Some teams retain detailed request events; others aggregate aggressively. That policy can materially change observability cost even when serving cost stays flat.

  • Use a full month when traffic is seasonal.
  • Separate cached and uncached workload where possible.
  • Use billed response bytes, not source HTML size alone.
  • Include only recognized crawler traffic in the request count.

Use scenarios to set guardrails

The volume table answers a practical question: what happens if crawler activity grows without changing the workload profile? If the projected cost becomes material, improve cacheability, reduce unnecessary payload weight, and inspect expensive application paths before blocking useful crawlers by default.

A linear scenario is a planning model, not an invoice forecast. Fixed instances, database queries, free tiers, burst behavior, minimum billing units, discounts, and taxes still need to be reconciled with the real bill.

Ready to dominate AI search visibility?

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Frequently Asked Questions