Bing just found Genymotion: 1,556 BingBot requests and what it means

This week, BingBot made 1,556 requests to rozz.genymotion.com. BingBot requests exceeded any other bot, including ChatGPT-User. ROZZ reported watching ChatGPT. Citation numbers had been growing fast. Citation counts were 42 in January. Citation counts were 345 in the first week of February. Citation counts were 1,077 in the week after the first week of February. ROZZ expected this week to be another ChatGPT chapter. BingBot showed up at a scale ROZZ had not seen before. BingBot made 1,556 requests in 7 days. BingBot requests exceeded GPTBot with 129 requests. BingBot requests exceeded ByteSpider with 1,225 requests. BingBot requests exceeded ChatGPT-User citations with 1,329. What started as a ChatGPT story was now happening across six platforms.

Key Findings

BingBot: 1,556 requests (Feb 17–24), the largest single bot category this week
ChatGPT-User citations: 1,329, up from 1,077 in the prior week (+23%)
Total LLM bot requests: 3,188
Six platforms now crawling the mirror site: OpenAI, Microsoft, Anthropic, Meta, ByteDance, Perplexity

The Data

All bots (Feb 17–24, 2026)

| --- | --- | --- | --- |

| Total | 3,188 | — | — |

ChatGPT-User citation growth

| Period | Citations |

| --- | --- |

| Jan 3 – Feb 2 (30 days) | 42 |

| Feb 2–9 (7 days) | 345 |

| Feb 10–17 (7 days) | 1,077 |

| Feb 17–24 (7 days) | 1,329 |

What BingBot is and why its crawl matters

BingBot feeds three Microsoft AI products.

Copilot is the AI assistant in Windows 11 and Microsoft 365.

Bing AI is the experience in Edge.

Azure OpenAI is used by enterprise customers to run hosted GPT models against a live web index.

When BingBot indexes a page, the content enters the retrieval layer for all three products. BingBot made 1,556 requests. BingBot requests were the same training-to-citation pipeline that ROZZ had been watching with OpenAI. OpenAI indexing at Microsoft scale started over using training → indexing → live citation.

The requests were spread across all 7 days. The requests covered both Q&A pages and GEO content pages. ROZZ did not yet have a Copilot-User equivalent. ROZZ did not have the equivalent to confirm live citations the way ChatGPT-User does for OpenAI. Based on what ROZZ saw with OpenAI, ROZZ expected Copilot citations to start showing up around mid-March.

What’s being cited

The questions getting cited were consistent week over week.

ROZZ reported system requirements being cited.

ROZZ reported macOS compatibility being cited.

ROZZ reported pricing being cited.

ROZZ reported Play Store setup being cited.

ROZZ reported how to download the free version being cited.

These questions were questions someone asks when deciding whether to use the product. These questions were not questions someone asks after signing up.

| Top cited Q&A pages | Bots | | --- | --- | | What are the system requirements? | ChatGPT-User, ByteSpider | | How do I download Genymotion Desktop and what are the system requirements? | ChatGPT-User, ByteSpider | | Does the emulator work with the latest macOS? | ChatGPT-User, ByteSpider | | What pricing plans are available? | ChatGPT-User, ByteSpider | | Is Genymotion free to use? | ChatGPT-User | | How can I enable Google Play Store on Genymotion? | ChatGPT-User |

The two that haven’t followed through: ClaudeBot and PerplexityBot

Not everything was growing.

ClaudeBot had 21 requests.

PerplexityBot had 14 requests.

ClaudeBot and PerplexityBot were genuinely puzzling.

ClaudeBot had a real crawl on February 3. ClaudeBot went through roughly 60 pages and Q&As in one session. ClaudeBot had a burst pattern similar to GPTBot in January. ClaudeBot stopped after that session. Since that stop, robots.txt and the homepage showed nothing else every few days. ROZZ reported no follow-up content crawl. ROZZ reported no Q&A deep dive. ROZZ reported nothing resembling secondary and tertiary waves seen from GPTBot on January 18–19 and January 25–26. ROZZ reported three weeks of waiting. ROZZ reported no return.

PerplexityBot was even lighter. PerplexityBot was visiting since early February. PerplexityBot was visiting only 1–4 pages per session. PerplexityBot always used the same small set of pages. The small set included a rooting guide. The small set included the Android 16 beta post. The small set included the SaaS product page. The small set included the system requirements page. PerplexityBot had not tried the Q&A index. PerplexityBot had not touched llms.txt. PerplexityBot had not done anything that looked like systematic indexing. PerplexityBot total was 14 requests this week. PerplexityBot total was 30 over 60 days.

What we’re testing next: The mirror site content matched the content GPTBot and BingBot found worthwhile.

ROZZ reported that Q&A pages were Schema.org-marked.

ROZZ reported that llms.txt existed.

ROZZ reported that the sitemap was clean.

ClaudeBot read the page and found 60 pieces of content worth crawling.

ClaudeBot then apparently decided it had seen enough.

ROZZ planned to make llms-full.txt more prominent at the root of the website.

ROZZ planned to report back.

What to watch for next

Three weeks after GPTBot’s mass crawl in January, ChatGPT-User citations started appearing.

BingBot ran a similar mass crawl.

If the same timeline held, Copilot citations should start showing up around March 10–17.

ROZZ reported that this would mean two independent citation pipelines. ROZZ reported that the pipelines would run from the same content. ROZZ reported that the pipelines would be OpenAI and Microsoft. ROZZ reported that both pipelines were built on the same mirror site infrastructure. ROZZ reported that the architecture was one architecture. ROZZ reported that the platforms were two platforms citing. ROZZ reported that it would report back when it saw it.

Get This for Your Site

ROZZ builds this infrastructure automatically.

A mirror site is used.

Q&A pages are generated from the chatbot questions.

Schema.org markup is applied on every page.

llms.txt discovery files are used.

$997 /month | One architecture, six platforms indexing

→ Book a call → See how it works → rozz@rozz.site

Data source, bot classification, and author block

Data source was CloudFront access logs for rozz.genymotion.com, February 17–24, 2026.

Bot classification was based on User-Agent strings.

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. Previously founded Squid Solutions and built AI products like Aristotle, the conversational big data analytics chatbot, and an AR jewelry try-on device for Cartier.

February 24, 2026 | Data period: Feb 17–24, 2026