Insights

The Crawler Logs

The Crawler Logs document real AI crawler behavior on production AI sites built by ROZZ.

Using CloudFront access logs and User-Agent classification, we track how GPTBot, BingBot, ClaudeBot, ChatGPT-User, PerplexityBot, and other LLM bots discover, crawl, and cite GEO-optimized content.

Across 143 days of observation on rozz.genymotion.com, we recorded 46,418 total LLM bot requests and 14,465 citation events.

Citation events represent real users receiving Genymotion content in AI conversations.

Total metrics

Log Entries

Entry #14 · May 19, 2026

21 days of clean bot logs.

ChatGPT-User and Claude-User made 1,517 content fetches on Genymotion’s AI site.

Q&As behave as demand-driven answers (61% corpus coverage).

Pages behave as supply-driven source citations (24% coverage).

Q&As also fetched at least one cited source in 79% of Q&A sessions.

Entry #13 · May 5, 2026

Three weeks after shipping enterprise content on Genymotion’s AI site, we compared two 14-day windows.

The on-site chatbot’s buyer rate stayed flat (7.2% → 8.1%).

The AI site’s buyer/professional content reads jumped from 35.9% to 45.0%.

Two channels, two audiences.

Entry #12 · Apr 22, 2026

Genymotion’s AI site has 16 topic pages.

In one week of logs, AI platforms asked for 61 more that no longer exist.

The 61 retired topic URLs drew 1,001 requests to retired topic URLs.

Clustering-algorithm iterations kept improving the taxonomy.

The clustering-algorithm iterations broke every external cache that learned the old map.

Entry #11 · Apr 14, 2026

People evaluate products through ChatGPT, Claude, and Perplexity now.

The company whose product is being discussed usually has no idea it happened.

667 chatbot conversations and 2,500+ reconstructed ChatGPT sessions show who’s actually asking, what they want, and where the conversations lead.

Entry #10 · Apr 8, 2026

Three AI platforms—ChatGPT-User, Claude-User, Perplexity-User—now retrieve content from the same AI site during live user sessions.

9,250 citation requests across 90 days.

Three months ago there were zero.

Entry #9 · Mar 31, 2026

A developer asked Claude Code how much Genymotion costs.

Ten seconds later, Claude Code was showing them how to set it up.

Both answers came from our AI site.

14 Claude-User requests in 6 days.

12 requests came from Claude Code.

Entry #8 · Mar 24, 2026

ClaudeBot made 958 requests in one week.

ClaudeBot made 958 requests up from 123 the week before.

503 GEO pages and 162 Q&A pages were crawled.

ClaudeBot crawl was the largest since December.

Six hours after deploying per-topic sitemaps, ClaudeBot came back.

Entry #7 · Mar 17, 2026

PerplexityBot made 511 requests in one week.

PerplexityBot made 511 requests up from 42 the week before.

PerplexityBot crawled 172 Q&A pages and 256 GEO pages.

PerplexityBot made more content in 7 days than in its entire prior history on the site combined.

Entry #6 · Mar 10, 2026

ChatGPT-User made 681 visits in one week.

By grouping visits into sessions using IP hashes and timing, we reconstructed 168 sessions.

The 168 sessions show how users navigate AI-mediated discovery.

Entry #5 · Mar 3, 2026

We tested 24 queries across four AI platforms.

ChatGPT cites Genymotion 83% of the time.

Claude cites Genymotion 21% of the time.

Perplexity cites Genymotion 17% of the time.

Gemini cites Genymotion 4% of the time.

The first three track with crawl volume.

Gemini doesn’t crawl the AI site at all.

Entry #4 · Feb 24, 2026

BingBot made 1,556 requests this week.

BingBot made more requests than any other bot, including ChatGPT-User.

What started as a ChatGPT story is now happening across six platforms.

Entry #3 · Feb 17, 2026

ChatGPT citations hit 1,077 this week.

ChatGPT citations were 3x the 345 reported last week.

The six-week trajectory was 42 → 345 → 1,077.

Q&A pages drive 66% of all citations.

Entry #2 · Feb 10, 2026

ChatGPT citations grew from 7 to 116 in one week.

345 citation events were recorded.

161 unique sessions were reconstructed.

75% of requests hit Q&A pages.

Not traditional content.

Entry #1 · Feb 3, 2026

GPTBot made 547 requests in a single day.

GPTBot made 547 requests that were 47% of all training bot activity in 30 days.

Three weeks later, ChatGPT users were receiving content in their conversations.

Methodology

Data source: CloudFront access logs for rozz.genymotion.com.

Bot classification is based on User-Agent strings.

Training bots (GPTBot, ClaudeBot) are distinguished from index bots (OAI-SearchBot).

Citation events are distinguished as ChatGPT-User.

Citation events represent real user conversations where ChatGPT retrieved and cited mirror site content.

All data is from a single production mirror site.

Results may vary by domain, content volume, and vertical.

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