digitalocean.com llms.txt
In short
digitalocean.com serves a 12 KB llms.txt with 9 H2 sections and 102 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. An llms-full.txt is served too. Read 4 November 2026.
llms.txt 12 KB, 135 lines
# DigitalOcean
> DigitalOcean is a cloud platform for building, deploying and scaling applications. This file links to its product pages, its pricing pages and its community pages, then to the documentation, API reference, CLI and company pages. Technical documentation is indexed at https://docs.digitalocean.com/llms.txt.
DigitalOcean is a cloud platform for building, deploying and scaling applications, with products for compute, managed databases, storage, networking and AI. The Products section lists each product's page. Prices are not listed in this file: each pricing page shows the current prices.
## Community
- [Community](https://www.digitalocean.com/community)
- [Community Questions](https://www.digitalocean.com/community/questions)
- [Community Tutorials](https://www.digitalocean.com/community/tutorials)
- [Community Tags](https://www.digitalocean.com/community/tags)
- [Community Tools](https://www.digitalocean.com/community/tools)
- [Community Markdown](https://www.digitalocean.com/community/markdown)
## Products
- [Products](https://www.digitalocean.com/products)
- [1-Click Models](https://www.digitalocean.com/products/1-click-models): Deploy popular AI models with one-click, zero configuration, and optimized performance on your own infrastructure.
- [AI Platform](https://www.digitalocean.com/products/ai-platform): Build generative AI applications and AI agents with serverless inference, multi-agent workflows and API access to large language models.
- [App Platform](https://www.digitalocean.com/products/app-platform)
- [Backups](https://www.digitalocean.com/products/backups)
- [Bare Metal GPUs](https://www.digitalocean.com/products/bare-metal-gpus)
- [Block Storage](https://www.digitalocean.com/products/block-storage): Network-based block devices that provide additional data storage for Droplets.
- [Cloud Firewalls](https://www.digitalocean.com/products/cloud-firewalls): Network-based, stateful firewalls that restrict traffic to Droplets.
- [Cloud Security Posture Management](https://www.digitalocean.com/products/cloud-security-posture-management)
- [Cloudways](https://www.digitalocean.com/products/cloudways)
- [Container Registry](https://www.digitalocean.com/products/container-registry)
- [Data Services](https://www.digitalocean.com/products/data-services)
- [DDoS Protection](https://www.digitalocean.com/products/ddos-protection): Always-on protection from distributed denial-of-service (DDoS) attacks for applicable DigitalOcean resources.
- [Droplets](https://www.digitalocean.com/products/droplets)
- [Droplets CPU Optimized](https://www.digitalocean.com/products/droplets/cpu-optimized): The CPU-Optimized Droplet plans, one of the Droplet plan families alongside Basic, General Purpose and Memory-Optimized.
- [Functions](https://www.digitalocean.com/products/functions)
- [GPU Droplets](https://www.digitalocean.com/products/gpu-droplets)
- [Identity Access Management](https://www.digitalocean.com/products/identity-access-management): Identity and access management for securing access to DigitalOcean infrastructure.
- [AI Inference Engine](https://www.digitalocean.com/products/inference-engine): AI models with DigitalOcean's Inference Engine. Access serverless, batch, and dedicated inference with one API across text, image, audio, and video.
- [Knowledge Bases](https://www.digitalocean.com/products/knowledge-bases)
- [Kubernetes](https://www.digitalocean.com/products/kubernetes)
- [Learning Services](https://www.digitalocean.com/products/learning-services): Signals flags production failures in AI agents and models. Evaluations and Simulations test fixes on multi-turn scenarios before they ship.
- [Evaluations](https://www.digitalocean.com/products/learning-services/evaluations): Validate any model or router on your own data before production. Run LLM evaluations comparing quality and performance across your inference stack.
- [Ubuntu](https://www.digitalocean.com/products/linux-distribution/ubuntu): Blazing fast and incredibly simple - Spin up Ubuntu hosting using our easy 1-click installer. Up and running in seconds.
- [Load Balancers](https://www.digitalocean.com/products/load-balancers): Distribute traffic across pools of backend resources for high availability setups.
- [Managed Agents](https://www.digitalocean.com/products/managed-agents)
- [Managed Databases](https://www.digitalocean.com/products/managed-databases)
- [Managed Databases Kafka](https://www.digitalocean.com/products/managed-databases-kafka): Managed Kafka, an open-source distributed event and stream-processing platform for real-time data feeds.
- [Managed Databases MongoDB](https://www.digitalocean.com/products/managed-databases-mongodb): Managed MongoDB, a source-available, cross-platform document-oriented database for high-volume storage.
- [Managed Databases MySQL](https://www.digitalocean.com/products/managed-databases-mysql): Managed MySQL, an open source, object-relational database built with speed and reliability in mind.
- [Managed Databases OpenSearch](https://www.digitalocean.com/products/managed-databases-opensearch): Managed OpenSearch, an open-source search and analytics suite.
- [Managed Databases PostgreSQL](https://www.digitalocean.com/products/managed-databases-postgresql): Managed PostgreSQL, an open source, object-relational database built with extensibility, data integrity and speed in mind.
- [Managed Databases Valkey](https://www.digitalocean.com/products/managed-databases-valkey)
First 50 of 135 lines.
Parse graded A, 6 of 6
file: https://digitalocean.com/llms.txt
DigitalOcean
DigitalOcean is a cloud platform for building, deploying and scaling applications. This file links to its product pages, its pricing pages and its community pages, then to the documentation, API reference, CLI and company pages. Technical documentation is indexed at https://docs.digitalocean.com/llms.txt.
9 sections, 102 links, an Optional section.
Ora's cached score: 74, grade B, scanned 1 November 2026.
The parse
digitalocean.com lists 102 links: 101 point at digitalocean.com or a relative path, 1 point elsewhere. The hosts it links most: digitalocean.com (79), docs.digitalocean.com (20), github.com (1), ideas.digitalocean.com (1).
| H2 section | Links |
|---|---|
| Community | 6 |
| Products | 43 |
| Pricing | 22 |
| Deploy | 7 |
| Documentation | 4 |
| API reference | 4 |
| CLI (doctl) | 4 |
| Blog and release notes | 5 |
| Optional | 7 |
Grade against the llmstxt.org structure
The file passes all six checks. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: DigitalOcean |
| Has a blockquote summary under the H1 | Pass | Blockquote summary found. |
| Has at least one H2 section that lists links | Pass | 9 H2 sections, 9 with links. |
| At least 80 percent of links point at the same site | Pass | 101 of 102 links stay on digitalocean.com (99 percent). |
| Under 100 KB | Pass | 11872 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Ora's cached report for digitalocean.com gives it 74 of 100, grade B, scanned on 1 November 2026. Its Access layer, which holds the read-layer checks below, scored 43 of 59 check points. Read from GET ora.ai/api/score/digitalocean.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for digitalocean.com has every layer.
| Ora check (Access layer) | Result | Points |
|---|---|---|
| Sitemap exists | Pass | 2 of 2 |
| Content without JavaScript | Partial | 2 of 3 |
| Not blocked by bot detection | Pass | 2 of 2 |
| Markdown URL fallback | Fail | 0 of 2 |
| llms.txt exists | Pass | 1 of 1 |
| llms.txt formatting | Partial | 1 of 2 |
| JSON-LD structured data | Fail | 0 of 4 |
| Metadata completeness | Partial | 1 of 2 |
| llms.txt links resolve | Pass | 2 of 2 |
| Markdown alternate link | Fail | 0 of 1 |
| Redirect hygiene | Pass | 1 of 1 |
| Page token budget | Pass | 1 of 1 |
| Code fence validity | Pass | 1 of 1 |
| Content behind auth | Pass | 2 of 2 |
| OpenAPI spec published | Pass | 7 of 7 |
| Markdown agent docs | Fail | 0 of 1 |
| Markdown negotiation with Vary | Fail | 0 of 1 |
| Markdown for agent user agents | Fail | 0 of 1 |
| Agent crawler reachability | Pass | 2 of 2 |
Linking and the companion file
The home page of digitalocean.com does not link the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. An llms-full.txt is served at the same root.
How it compares
At 12 KB the file is larger than 63 percent of the 2,529 plain-text llms.txt files in this edition, and its 102 links put it ahead of 80 percent of them on link count. The home page declares no generator. Size bucket: 10 to 50 KB. Tranco rank 607. Category: Infrastructure.
Live file: https://digitalocean.com/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.
Sources
- digitalocean.com llms.txt https://digitalocean.com/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026
Last reviewed 5 November 2026