---
title: "Kitbase vs Dark Visitors: Controlling AI Crawlers vs Measuring Them | Kitbase Blog"
description: "Kitbase vs Dark Visitors compared on AI crawler detection, robots.txt management, identity verification and answer-engine visibility."
canonical: https://kitbase.dev/blog/kitbase-vs-dark-visitors
---

**Dark Visitors helps you decide which AI crawlers to let in. Kitbase helps you find out whether letting them in produced anything.** Both start from the same observation, that AI crawlers are invisible to normal analytics, and they go in opposite directions from there.

We build Kitbase.

## Dark Visitors' case

Dark Visitors maintains a catalogue of AI agents and crawlers and provides agent analytics plus robots.txt management, so you can see which are hitting your site and control access to them from one place.

The control half is the differentiator. Deciding what to allow is a genuine strategic question with a real trade-off, and the number of agents keeps growing: training crawlers, search crawlers, user-triggered fetchers, and agents acting on behalf of individual users. Keeping robots rules current across all of them by hand is tedious and easy to get wrong, and a broad disallow rule written years ago can silently block the crawlers you now want.

For a publisher weighing whether AI companies should train on their content for free, this is the tool shaped for that decision.

## Kitbase's case

Kitbase assumes you've decided to be readable and want to know what came of it.

**Detection with verification.** Requests forwarded from your server or edge, each resolved to a named crawler and the vendor behind it, then checked against that crawler's published identity before it counts. Anything can put `GPTBot` in a user-agent header, and scrapers do it constantly. Verification separates a real OpenAI fetch from an impersonator, which changes your numbers.

**Per-path frequency.** Which sections are read and how often, so a documentation area that stopped being fetched is visible weeks before citations reflect it.

**The answer layer.** Up to ten surfaces, ChatGPT, Gemini, Perplexity, Claude, DeepSeek, GLM, Kimi, Google AI Overviews and AI Mode. Presence rate splits brand mentions from actual domain citations. Share of voice is normalised across every tracked brand with a dense rank. Cited sources go to the exact page, classified as yours, a competitor's or third-party and tagged by source type. Each mention carries sentiment, recommendation status and list position.

**The traffic layer.** Cookieless web analytics on the same events pipeline, with autocapture, funnels, journeys, retention, page durations and rage-click detection, so AI referrals lead somewhere measurable.

**The honest limitation:** Kitbase doesn't manage your robots.txt. It shows you what's crawling and what it produced; blocking decisions and their implementation are yours.

## Side by side

| | Dark Visitors | Kitbase |
|---|---|---|
| AI crawler detection | Yes | Yes |
| Crawler identity verification | Limited | Yes |
| Agent catalogue | Yes, extensive | Named crawler and vendor resolution |
| robots.txt management | Yes, core feature | No |
| Per-path crawl frequency | Yes | Yes |
| Answer-engine visibility | No | Up to 10 surfaces |
| Cited-source mapping | No | Yes, with source types |
| Cookieless web analytics | No | Yes |
| Backlinks / link marketplace | No | Yes |
| Price band | Low to mid | From $99/mo |

## Blocking is a trade, not a default

Worth being explicit, because the decision gets made carelessly in both directions.

Blocking AI crawlers stops your content being used for training and stops it being cited. Those arrive together. If your business model depends on people finding you, blocking the crawlers that feed AI answers removes you from a growing share of discovery, and you won't see the cost in any dashboard because it shows up as traffic that never happened.

Allowing them means your content contributes to answers you don't control, sometimes without a link back. For a publisher whose revenue is page views, that's a real loss.

Neither answer is universally right, and the split usually follows business model: publishers monetising attention have a genuine case for restricting, while software companies wanting to be recommended usually don't. We laid out both sides in [should you block AI crawlers](/blog/should-you-block-ai-crawlers), and the mechanics in [robots.txt for AI crawlers](/blog/robots-txt-ai-crawlers).

If you're restricting, Dark Visitors is built for managing that. If you're optimising to be cited, measurement is the job.

## FAQ

**Does Kitbase manage robots.txt?**
No. It detects and verifies AI crawler traffic and reports per-path frequency. Access decisions are yours to implement.

**Does Dark Visitors track AI visibility in answers?**
No. It focuses on crawler traffic and access control rather than whether engines mention or cite you.

**Why does crawler identity verification matter?**
Spoofing a user-agent header takes one line of code, so unverified counts include scrapers impersonating real crawlers.

**Should I block AI crawlers?**
It depends on your business model. Publishers monetising page views have a case; software companies wanting to be recommended usually don't.

**Can I use both tools?**
Yes, and they complement each other: Dark Visitors for access control, Kitbase for verified measurement and the answer layer.

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*Want verified AI crawler data plus the citations it leads to? [Start your free trial](https://app.kitbase.dev/signup/) — 7 days, no credit card required.*