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Rackspace Technology

rackspace.com · Technology · RXT

Ranked 1,652 of 2,047 companies in the study

26Overall score
  • Visibility3
  • Citations1
  • Sentiment50
  • Site quality73
  • AI readiness29
What this means for Rackspace Technology

AI assistants rarely name Rackspace Technology, appearing in 2 of 60 answers. Microsoft Azure, IBM Cloud, and HPE GreenLake are also named in those cases. Rackspace Technology's overall score is 26 out of 100, ranking 1,652nd of 2,047 companies. Its website passes 4 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the technology market: none named Rackspace Technology. AI assistants named it in 2 of 60 answers (3.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Rackspace Technology ranks 200 of 273 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
3.3%
2 of 60 answers
Share of mentions
3.6%
compared with 5 rivals
AI readiness
4/14
technical checks passed. Typical for its sector: 4
Rank in its sector
237 of 273
by overall score, where the typical technology company scores 36
How Rackspace Technology compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
3

How often AI assistants name the company

Citations
1

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
29

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with technology

273 companies in this sector. The line on each bar is the typical company.

Overall score26
Ranks 237 of 273. Typical company: 36
Named in answers3%
Ranks 200 of 273. Typical company: 10%
AI readiness29
Ranks 82 of 273. Typical company: 29
What Claude actually said

An answer that names the company

“Top providers for enterprise-grade AI cloud solutions in the US?”

I'll search for the top enterprise-grade AI cloud solution providers in the US.Based on current market data, here are the top enterprise-grade AI cloud solution providers in the US:

Major Hyperscalers

AWS, Azure, and Google Cloud lead on AI platform depth.

AWS: Holds the largest global market share among cloud infrastructure providers and offers the broadest service catalog, spanning compute, AI/ML, database, and edge services.

Microsoft Azure: Azure is the only cloud where you can run GPT-4o and GPT-5 natively within enterprise services — a significant advantage for enterpr …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Microsoft Azure36IBM Cloud4HPE GreenLake2
Share of mentions

How the mentions in these answers were split between this company and its rivals

Google Cloud Platform (GCP)
44.0%
Microsoft Azure
26.0%
IBM Cloud
12.0%
Dell Technologies (Apex Cloud Services)
8.0%
HPE GreenLake
6.0%
Rackspace Technology
4.0%
Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
1/15
Claude
1/15
Gemini
0/15
OpenAI
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Show every check, for your technical team
Discoverability
77 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPassed

    An XML sitemap listing the pages, ideally referenced from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthNot present

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryNot met

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceNot met

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardNot met

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardNot met

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsNot met

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestNot met

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 25 of 100 · 97% of checks could run · checked on October 5, 2026 · www.rackspace.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

4 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • PassedHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly
AI search
  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly
Answering questions
  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

ibm.com
15
cloud.google.com
15
oracle.com
13
digitalocean.com
11
sentinelone.com
11
northflank.com
10
rackspace.com (its own website)
9
hpe.com
8
finance.yahoo.com
7
mirantis.com
7

In the study as US-listed.

Every question, and where the company came up (2 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Top providers for enterprise-grade AI cloud solutions in the US?
  • What are the best multicloud infrastructure services for large enterprises managing regulated workloads?
  • Differences between managed multicloud services and single cloud solutions for AI workloads?
  • What are reliable substitutes for managed enterprise AI cloud solutions?
  • What should I do if my hybrid cloud infrastructure doesn’t meet compliance requirements?
  • How reliable are end-to-end managed multicloud solutions for scaling enterprise AI?
  • How much do enterprise multicloud management services typically cost in the US?
  • Best use cases for governed private cloud solutions in financial services?
  • Most secure cloud options for organizations with strict data governance needs?
  • How can large organizations use AI cloud platforms for real-time data analytics?
  • Private cloud vs public cloud for hosting mission-critical enterprise applications?
  • Are usage-based pricing models available for production AI infrastructure in large organizations?
  • Is it worth investing in fully operated enterprise AI infrastructure for compliance-heavy industries?
  • How to address security concerns when running AI inference in production environments?
  • Alternatives to traditional private cloud for mission-critical workloads?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

Next step

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