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Arista Networks

arista.com · Technology · ANET

Ranked 1,023 of 2,047 companies in the study

32Overall score
  • Visibility20
  • Citations2
  • Sentiment50
  • Site quality80
  • AI readiness21
What this means for Arista Networks

AI assistants name Arista Networks in 18.3% of answers, which is more often than the typical company in its sector. It has an overall score of 32 out of 100, ranking 1,023rd of 2,047 companies. The Arista Networks website passes 3 out of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about the technology market: none named Arista Networks. AI assistants named it in 11 of 60 answers (18.3%). The typical technology company is named in 10.0% of answers. By how often it is named, Arista Networks ranks 90 of 273 in its sector.

Named by AI in
18.3%
11 of 60 answers
Share of mentions
22.0%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
184 of 273
by overall score, where the typical technology company scores 36
How Arista Networks 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
20

How often AI assistants name the company

Citations
2

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

Sentiment
50

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
21

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 score32
Ranks 184 of 273. Typical company: 36
Named in answers18%
Ranks 90 of 273. Typical company: 10%
AI readiness21
Ranks 161 of 273. Typical company: 29
What Perplexity actually said

An answer that names the company

“Should a mid-sized data center prioritize programmable network platforms when upgrading?”

Yes—if the upgrade needs better agility, automation, and faster scaling, programmable network platforms are usually worth prioritizing for a mid-sized data center. The strongest case is operational: the sources consistently say programmability and SDN reduce manual configuration, improve visibility, speed provisioning, and lower operating costs.

For a mid-sized environment, that matters because these platforms are described as especially useful for organizations that need to scale without adding proportional complexity. Arista’s midsize-enterprise paper highlights oper …

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

Also named
Juniper Networks2Extreme Networks1
Share of mentions

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

Cisco Systems
33.3%
Juniper Networks
26.7%
Arista Networks
24.4%
Dell Technologies (Networking)
11.1%
Extreme Networks
4.4%
HPE (Hewlett Packard Enterprise) Networking
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
3/15
Gemini
3/15
OpenAI
3/15
Perplexity
2/15
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

The website turns away requests that do not come from a browser. AI agents that say what they are meet the same refusal.

Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

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

    study: 92.0%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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.txtCould not check

    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 AuthCould not check

    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 CatalogCould not check

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

    study: 0.3%
  • OAuth discoveryCould not check

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

    study: 11.8%
  • OAuth Protected ResourceCould not check

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

    study: 10.3%
  • auth.mdCould not check

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardCould not check

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

    study: 0.2%
  • A2A Agent CardCould not check

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

    study: 0.1%
  • Agent SkillsCould not check

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

    study: 0.2%
  • WebMCPNot met

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

    study: 33.7%
  • ARD manifestCould not check

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

    study: 0.1%

Score 40 of 100 · 56% of checks could run · checked on October 4, 2026 · www.arista.com · 2,047 companies scanned

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

The checks behind the AI readiness score

3 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%
  • Not metHTTP 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
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

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

cisco.com
17
juniper.net
14
arista.com (its own website)
14
dell.com
13
redhat.com
11
fs.com
10
hpe.com
9
gartner.com
8
techtarget.com
8
theglobeandmail.com
7

In the study as S&P 500.

Every question, and where the company came up (5 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Should a mid-sized data center prioritize programmable network platforms when upgrading?
  • Software-driven cloud networking vs traditional hardware-based networking: which is better for enterprise data centers?
  • Open-source options for large enterprise cloud networking infrastructure
  • When should a business deploy spine-leaf architectures in their data center network?
  • What features should IT teams look for in next-generation cloud networking suites?
  • Best practices for implementing network automation in cloud-driven enterprise environments
  • Is investing in high-speed Ethernet switches worth it for an expanding enterprise cloud infrastructure?
  • Best network switches for high-performance data center computing in the US
  • How to resolve network bottlenecks in high-traffic storage and compute clusters?
  • Layer 2 versus Layer 3 switching for large-scale cloud environments
  • What factors contribute most to the cost differences between mainstream cloud networking platforms?
  • Alternatives to software-driven networking solutions for scaling data center capacity
  • Common issues with deploying cloud networking solutions in multi-tenant data centers
  • What are the top software-driven cloud networking solutions for large data center environments?
  • Typical price range for enterprise-grade, high-speed Ethernet switches in the US
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.

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Overall score 32 of 100 badge for Arista Networks

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