Cohere is one of the most important AI companies that many website owners have never heard of. Unlike ChatGPT or Google, Cohere does not have a consumer product that people use daily. Instead, it builds AI infrastructure used by thousands of businesses worldwide. And its web crawler, cohere-ai, quietly crawls millions of websites to collect training data for these enterprise AI models.

For website owners, the Cohere crawler presents a different kind of decision compared to consumer-facing AI crawlers. There is no direct search benefit or citation traffic from allowing it. But Cohere's models are used by major corporations for customer support, internal search, and document processing, which means your content could influence enterprise AI applications that serve millions of business users.

Start by checking your current settings. Use the AI crawler checker free tool to see if Cohere's crawler can access your website right now.

Cohere AI model architecture showing crawler feeding data into Command and Embed models

What is Cohere?

Cohere is a Canadian AI company founded in 2019 by former Google Brain researchers, including Aidan Gomrat, who co-authored the landmark "Attention Is All You Need" paper that introduced the Transformer architecture (the "T" in GPT). Cohere is headquartered in Toronto and has raised over $1 billion in funding.

Unlike OpenAI (which focuses on consumer products like ChatGPT) or Anthropic (Claude), Cohere focuses primarily on enterprise AI infrastructure. Their products are designed for businesses that need to integrate AI into their own applications and workflows.

Cohere's Key Products

Command

Cohere's flagship large language model for text generation, summarization, and conversational AI. Used by enterprises for customer support, content creation, and data analysis.

Embed

A text embedding model that converts text into numerical representations for search, clustering, and classification. Used by companies to build semantic search engines.

Rerank

A specialized model that re-orders search results by relevance. Used to improve the accuracy of enterprise search systems and RAG (Retrieval-Augmented Generation) applications.

Aya

Cohere's multilingual AI model supporting 100+ languages. Built through a global research collaboration, it enables AI applications in non-English markets.

How AI crawlers work: pipeline from website to AI answer Flow diagram showing four stages: your website is checked against robots.txt rules, an AI crawler reads allowed content, the content feeds an AI model, and the model produces AI answers that can cite your site. Your Website pages + content example.com robots.txt User-agent: GPTBot Allow: / the gatekeeper AI Crawler GPTBot, ClaudeBot, PerplexityBot... reads allowed pages AI Model training + retrieval AI Answers citing your site Block the crawler at step 2 and your content never reaches the AI answer at step 4.
How AI crawlers work: from your website through robots.txt to AI-generated answers.

The Cohere-AI Crawler: Technical Details

Cohere's web crawler identifies itself with the following user agent string in your server logs:

User-Agent: cohere-ai

The cohere-ai crawler is used to collect web content for training Cohere's suite of AI models. Here are the key technical details:

Crawl rate Low to Medium (100-500 pages/day)
Robots.txt compliance Yes
Server impact Low
JavaScript rendering No
Search citation benefit None

Compared to more aggressive crawlers, Cohere's bot is one of the better-behaved AI crawlers. It does not flood servers with requests and respects rate limiting directives.

What Data Does the Cohere Crawler Collect?

The cohere-ai crawler collects publicly accessible web content for model training purposes. This includes:

Text content: Articles, blog posts, documentation, product descriptions, and other textual content on public web pages.

HTML structure: Page structure, heading hierarchy, and semantic HTML elements that help the AI understand content organization.

Metadata: Title tags, meta descriptions, and structured data that provide content context.

The collected data is used to train Cohere's models across multiple capabilities: language understanding, text generation, semantic search, and multilingual processing. Because Cohere serves enterprise customers, the quality and diversity of training data directly affects how well their models perform for business applications.

Comparison of enterprise AI crawlers from Cohere, Google, OpenAI, and Anthropic

How Cohere's Crawler Compares to Other AI Crawlers

Feature cohere-ai GPTBot ClaudeBot Google-Extended
Company focus Enterprise Consumer + API Consumer + API Search + AI
Search citations No No (GPTBot) No Yes (AI Overviews)
Crawl volume Low Medium Low-Medium Low
User base Enterprise only 400M+ (ChatGPT) 50M+ (Claude) Billions (Google)
Respects robots.txt Yes Yes Yes Yes
Server impact Minimal Moderate Low Minimal
Anatomy of a robots.txt file with annotations An annotated robots.txt example. The User-agent line targets a specific bot such as GPTBot. Disallow blocks paths, Allow grants exceptions, the wildcard user-agent covers every other bot, and the Sitemap line points crawlers to your XML sitemap. # AI crawler rules User-agent: GPTBot Disallow: /private/ Allow: /blog/ User-agent: * Sitemap: /sitemap.xml Targets one bot by name Each bot reads only its own section Blocks specific paths Grants exceptions Allow overrides broader Disallow Wildcard = every other bot Helps crawlers find pages Always declare your sitemap
Anatomy of a robots.txt file: user-agent targeting, allow and disallow rules, and sitemap declaration.

How to Control Cohere Crawler Access

You can control the Cohere crawler through your robots.txt file:

Robots.txt configuration for managing Cohere AI crawler with allow and disallow rules

Block Cohere Crawler

User-agent: cohere-ai Disallow: /

Allow Cohere Crawler

User-agent: cohere-ai Allow: /

Selective Access (Recommended)

User-agent: cohere-ai Allow: /blog/ Allow: /articles/ Allow: /resources/ Disallow: /members/ Disallow: /premium/ Disallow: /api/ Crawl-delay: 15

Use the Robots.txt Generator for a complete configuration that includes Cohere and all other major AI crawlers.

Should You Allow or Block the Cohere Crawler?

The decision depends on your priorities:

Consider Allowing If:

You publish educational or informational content

You want your expertise in enterprise AI applications

Server load from Cohere is not a concern

You support open AI development

Your B2B clients use Cohere products

Consider Blocking If:

You have premium or licensed content

You want to minimize AI training data use

No direct benefit justifies the access

You are selectively allowing only search crawlers

Content protection is a top priority

For most website owners, Cohere's crawler falls into the "low priority" category. It does not provide direct traffic benefits like AI search crawlers, and it does not create heavy server load like aggressive crawlers. The decision is primarily about your philosophical stance on AI training data usage.

The Bigger Picture: Enterprise AI Crawlers

Cohere is not the only enterprise AI company with a web crawler. The enterprise AI crawler landscape includes several players:

Cohere (cohere-ai): Enterprise AI infrastructure for text generation, search, and classification.

Diffbot: Crawls the web to build a knowledge graph used by enterprise customers for data extraction and analysis.

AI2 (Ai2Bot): The Allen Institute for AI crawls web data for open-source research models.

Webz.io: Crawls web data to provide structured datasets for AI training and business intelligence.

To get a complete picture of which AI crawlers (both consumer and enterprise) can access your website, run a scan with the AI crawler checker online tool. It checks for 196+ AI crawlers including Cohere and other enterprise bots.

Key Takeaways

1.

Cohere is an enterprise-focused AI company. Its crawler collects data for business AI models, not consumer search products. There is no direct traffic or citation benefit from allowing it.

2.

The crawler is well-behaved. Cohere-ai has low crawl volume, respects robots.txt, and puts minimal load on servers. It is not an aggressive crawler.

3.

Your decision depends on priorities. If content protection is your top priority, block it. If you support open AI development or serve B2B clients using Cohere, allow it.

4.

Prioritize search crawlers first. Focus your AI crawler strategy on search crawlers (ChatGPT-User, PerplexityBot, Google-Extended) that provide direct traffic benefits. Enterprise training crawlers like Cohere are secondary decisions.

5.

Use selective access if unsure. Allow Cohere access to public blog/article content while blocking premium or proprietary sections. This provides some benefit while protecting valuable content.

Check your current Cohere crawler access and all other AI bots. Use the AI crawlers analysis on our homepage to scan your robots.txt and get a complete access report. Then use the Robots.txt Generator to create the right configuration for your website.