We detected 5,549 companies using CloudFlare Markdown for Agents. The most common industry is Software Development (6%) and the most common company size is 11-50 employees (37%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
Note: Our data tracks websites that are using Cloudflare's Markdown for Agents for their website content to improve AI search visibility. We track all companies using CloudFlare as a CDN/WAF here
👥 What types of companies use CloudFlare Markdown for Agents?
Source: Analysis of Linkedin bios of 5,549 companies that use CloudFlare Markdown for Agents
Company Characteristics
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Shows how much more likely CloudFlare Markdown for Agents customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Undisclosed
12.2x
Funding Stage: Post IPO equity
8.8x
Country: Saudi Arabia
7.0x
Industry: Staffing and Recruiting
6.9x
Industry: Computer and Network Security
6.3x
Country: Cyprus
6.1x
I noticed that CloudFlare Markdown for Agents attracts an incredibly diverse range of companies, from accounting firms and construction contractors to healthcare providers and tech startups. What unites them isn't a specific industry but rather that they're all service-oriented businesses or product companies needing to communicate complex information clearly. Many are local or regional operators like roofing companies, staffing agencies, HVAC contractors, and professional services firms. There's also a significant presence of technology companies, particularly in software development, IT consulting, and digital marketing.
The maturity stage varies wildly. Most appear to be established small to medium businesses (the 11-50 and 51-200 employee ranges dominate), suggesting stable, profitable operations rather than venture-backed hypergrowth startups. The handful with funding rounds like 1upHealth (Series C, $40M) and 365Talents (Series A, $12M) are exceptions. The majority seem to be bootstrapped or family-owned businesses that have grown organically over decades.
🔧 What other technologies do CloudFlare Markdown for Agents customers also use?
Source: Analysis of tech stacks from 5,549 companies that use CloudFlare Markdown for Agents
Commonly Paired Technologies
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Shows how much more likely CloudFlare Markdown for Agents customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using CloudFlare Markdown for Agents tend to be e-commerce businesses and content-driven platforms that prioritize both security and user experience. The strong presence of BigCommerce immediately signals these are companies running online stores, while tools like Yoast and Postmark suggest they're deeply invested in content marketing and customer communication. This isn't just about hosting static content. These companies are building sophisticated digital experiences that need both performance and protection.
The pairing of BigCommerce with CloudFlare makes complete sense for online retailers who need to protect their storefronts from attacks while maintaining fast load times during traffic spikes. Sift's fraud detection capabilities appearing 156 times more often tells me these companies are handling real transactions and payments, so security isn't just about uptime. It's about protecting revenue. Postmark showing up 8 times more frequently fits perfectly here too. These businesses send transactional emails like order confirmations and shipping updates, where deliverability matters tremendously.
Looking at the full stack, these appear to be product-led and marketing-savvy companies in growth or scale-up stages. They've moved beyond basic infrastructure and invested in specialized tools for fraud prevention, SEO optimization, and email deliverability. The presence of Intune suggests some have reached a size where device management matters, pointing to established teams. They're not early startups experimenting with minimal tools, but they're also not enterprise giants with legacy systems.
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