We changed one page. PerplexityBot went from 42 requests to 511.

We changed one page. PerplexityBot went from 42 requests to 511.

PerplexityBot made 511 requests to Genymotion’s AI site in the week of March 10–17. That’s a 12x increase.

Key findings

The data

| Bot | Requests | Category | Change vs. prior week | |---|---|---|---| | ChatGPT-User | 1,176 | Citation | Stable (~1,200) | | PerplexityBot | 511 | Search index | 12x (was 42) | | OpenAI SearchBot | 328 | Search index | 4x (was ~75) | | OpenAI GPTBot | 171 | Training | Moderate growth | | ClaudeBot | 123 | Training | Down from 505 | | CCBot | 100 | Training | Stable | | ByteSpider | 69 | Training | Down | | Meta AI | 52 | Training | Stable |

PerplexityBot content breakdown

| Content type | Requests | % | |---|---:|---:| | GEO Pages | 256 | 50.1% | | Q&A Pages | 172 | 33.7% | | Topic Pages + Other | 61 | 11.9% | | Robots.txt | 12 | 2.3% | | Homepage | 4 | 0.8% |

84% of PerplexityBot’s requests hit content pages. It skipped the homepage almost entirely. It went straight to the content.

What we changed

On March 9, we redesigned the AI site’s index page at rozz.genymotion.com.

The old index was an infrastructure page. It listed API endpoints, content counts, and navigation links. It told a human reader “here’s 177 Q&A pages and 450 GEO pages, here’s how to browse them.” But AI crawlers don’t use JSON APIs. They GET HTML pages. When a bot landed on the old index, it got a page that described the site’s architecture without giving it any signal about what Genymotion actually is or which content to read first.

We had already identified this as a problem. In Entry #6, we found that 28% of ChatGPT-User sessions hit the index and stopped. Dead ends. The bot arrived, found no useful signal, and left.

The new index opens with a product description: what Genymotion is, what it does, who uses it. Then a topic directory with inline summaries for each topic. Not just “Subscription & Billing” but context about pricing tiers, free personal use, SaaS vs Desktop costs, plan differences. Enough signal for a crawler to either answer a query from the index itself or know exactly which page to fetch next.

What PerplexityBot did after the change

Day 1: March 10, content burst

The day after the index revamp, PerplexityBot ran a content crawl at 21:03 UTC. 50+ pages in under 20 seconds. GEO pages and Q&A pages. ARM transition content, Android 16 pages, pricing, installation, virtualization, case studies, release notes. It came from 8 different IP addresses running in parallel. This was the first time PerplexityBot had ever crawled more than 4 pages in a single session on the AI site.

Day 5: March 14, Q&A deep dive

PerplexityBot returned at 21:02 UTC and crawled 40+ Q&A pages in a single burst. One page every 1–2 seconds. The questions it grabbed included pricing, installation, compatibility, and product questions.

Day 6: March 15, topic sweeps + GEO content

Two sessions. At 21:21, PerplexityBot swept 14 topic pages in rapid succession, all within seconds of each other. Then at 22:59, it came back for more GEO pages: ARM webinar recordings, CircleCI integration, mobile testing, VPN setup, proxy configuration, biometric authentication, Bitrise CI, Applitools visual testing.

Day 8: March 17, second topic sweep

Another sweep of topic pages at 07:13: genymotion-virtual-devices, gpu-arm-hardware, technical-support-troubleshooting, android-testing-stack, network-system-security, marketplace-cloud-providers.

PerplexityBot reads the map and the pages

PerplexityBot is the second bot we’ve seen systematically crawl topic pages. ClaudeBot did it first, on March 2, sweeping 13 topic pages in five minutes. The difference: PerplexityBot did the topic sweep AND the content deep dive. It read the map and then read the chapters. ClaudeBot read the map and stopped.

Here’s how the bots compare on content type distribution this week: | Bot | GEO Pages | Q&A Pages | Topic/Other | Homepage | |---|---:|---:|---:|---:| | PerplexityBot | 50% | 34% | 12% | 1% | | OpenAI SearchBot | 45% | 24% | 16% | 3% | | ChatGPT-User | 9% | 34% | 20% | 37% | | ClaudeBot | 1% | 0% | 64% | 5% |

PerplexityBot and OpenAI SearchBot share a similar profile: content-heavy, minimal discovery overhead. Both are search index bots. Both skip the homepage and go straight to content pages. ChatGPT-User has a different pattern: it uses the homepage as a discovery hub (37% of requests), then drills into Q&A pages (34%). This makes sense. ChatGPT-User operates during live conversations. It needs a starting point. ClaudeBot is in a category of its own. 64% of its requests are robots.txt, sitemaps, and topic pages. 0% Q&A. 1% GEO content. It’s still in discovery mode.

The growth frontier has moved ChatGPT is now a steady-state citation channel. The next growth story is Perplexity.

The data source

Data source: CloudFront access logs for rozz.genymotion.com, March 10–17, 2026. Bot classification based on User-Agent strings. ChatGPT session analysis via IP subnet and edge clustering from ChatGPT-User/1.0 log entries.

The author

Author: Adrien Schmidt, CEO, ROZZ. Serial tech entrepreneur with 10+ years experience building AI systems including Aristotle (conversational AI analytics) and products for eBay and Cartier.

March 17, 2026 | Data period: Mar 10–17, 2026