Of 60 answers

The most named companies in the study, and S&P 500 financials, with how many of their 60 AI answers named them.

Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder
Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
122 of 2,219
its rank by overall score
Closing balance

Named in

23of 60 answers

by 4 of 4 assistants

Statement note

What this means for Solana

AI assistants name Solana in 38.3% of answers, which is much more often than the typical company in its sector at 1.7%. Solana's overall score is 42 out of 100, ranking it 122nd of 2,219 companies and 4th of 102 in its sector. Its website passes 5 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Solana by name. AI assistants named it in 23 of the 60 answers. Counting only how often it is named, it ranks 3rd of 102 in its sector. The typical crypto and digital asset company is named in 1.7% of answers.

Overall score
42Overall score
  • Visibility33
  • Citations1
  • Sentiment79
  • Site quality73
  • AI readiness43
Summary of account
Named by AI in
38.3%
23 of 60 answers
Share of mentions
25.6%
of the mentions of it and its 5 peers
AI readiness
5/14
technical checks passed. Typical for its sector: 4
Rank in its sector
4 of 102
by overall score, where the typical crypto and digital asset company scores 30

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Line itemsSection 01

Every question, and where the company came up

Solana came up on 9 of 15 questions. Open any window to read that answer.

  1. 01Best networks for powering internet capital markets in the US3/4
  2. 02How do proof-of-stake blockchains compare to proof-of-work systems for enterprise deployments?0/4
  3. 03How does transaction cost structure differ between leading decentralized networks for enterprise users?4/4
  4. 04How are US fintech startups leveraging scalable decentralized blockchains for payments?1/4
  5. 05Is it worth integrating a high-speed blockchain for US-based crypto apps?2/4
  6. 06Popular use cases for high-throughput blockchains in digital asset management0/4
  7. 07Best substitute networks to consider for scalable crypto and capital markets infrastructure3/4
  8. 08What are the typical network fees for transmitting payments on decentralized blockchains?4/4
  9. 09Layer 1 vs Layer 2 blockchains: advantages for payments and capital market solutions0/4
  10. 10Are decentralized infrastructure networks reliable for running large-scale capital markets?1/4
  11. 11What common issues can arise when deploying smart contracts on scalable blockchains?0/4
  12. 12What are the top high-performance decentralized blockchains for building fintech applications?4/4
  13. 13What are some non-blockchain technologies for building decentralized finance apps?0/4
  14. 14Alternatives to high-performance blockchains for launching crypto-powered applications0/4
  15. 15How to address slow transaction speeds on decentralized blockchain networks?1/4
Total namedOpenAI: 5/15Claude: 7/15Perplexity: 6/15Gemini: 5/15All assistants: 23/60
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. Across the study, on 50% of the questions where a company is named, only one AI assistant names it.

Transaction detailSection 02

What Perplexity actually said

An answer that names the company

Perplexitynamed the company

“What are the top high-performance decentralized blockchains for building fintech applications?”

For fintech applications, the strongest shortlist is Solana, Ethereum with Layer 2s, Avalanche, Sui, Aptos, and Stellar. The best choice depends on whether the priority is throughput, institutional ecosystem, payments, programmability, or regulatory-oriented asset issuance.

Blockchain · Best fit for fintech · Performance and strengths · Key trade-offs

Solana · High-volume payments, trading, consumer finance, DeFi · Very high throughput, roughly 400 ms block times, rapid finality, and low fees; reported theoretical capacity reaches 65,000 transactions per second …

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

PayeesSection 03

Where the mentions went

The companies these answers named, and how the mentions were split between this company and its peers.

Also named

CompanyTimes named
  1. 01
    Ethereum
    23
  2. 02
    Avalanche
    12

Share of mentions

CompanyShare
  1. Ethereum
    38.9%
  2. Solana
    25.6%
  3. Polygon (formerly Matic)
    18.9%
  4. Avalanche
    16.7%
  5. Algorand
    0.0%
  6. Near Protocol
    0.0%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    arxiv.org
    14
  2. 02
    gate.com
    6
  3. 03
    binance.com
    5
  4. 04
    optimism.io
    4
  5. 05
    webopedia.com
    4
  6. 06
    chain.link
    4
  7. 07
    solana.com (its own website)
    3
  8. 08
    support.avax.network
    3
  9. 09
    spark.money
    3
  10. 10
    eakdigital.com
    3

Solana is in the study as a digital asset infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
7/15
Perplexity
6/15
Gemini
5/15
OpenAI
5/15
Market comparisonSection 06

How Solana compares with all 2,219 companies

Every tower is a company in the study, taller for a higher overall score and lit where AI assistants named it. Its own group stays lit. Hover a tower to see it, and click to open it.

What makes up the score

Each part is scored out of 100.

Visibility
33

How often AI assistants name the company, and how that compares with its peers

Citations
1

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

Sentiment
79

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
43

How easily AI tools can read and use the website

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

Against its sectorSection 07

Compared with crypto and digital asset companies

102 companies in this sector. The gold tick on each bar is the typical company.

Overall score
42
Ranks 4 of 102. Typical company: 30
Named in answers
38.3%
Ranks 3 of 102. Typical company: 1.7%
AI readiness
43
Ranks 8 of 102. Typical company: 33
Against its categorySection 08

Compared with digital asset infrastructure companies

80 companies in this category. The gold tick on each bar is the typical company.

Overall score
42
Ranks 2 of 80. Typical company: 29
Named in answers
38.3%
Ranks 1 of 80. Typical company: 1.7%
AI readiness
43
Ranks 7 of 80. Typical company: 36
AI agentsSection 09

Ready for AI agents

What this website publishes for an AI agent to read, use and pay through, 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
Can an AI agent check out here?

Not by itself. Solana publishes none of the agent payment protocols we look for. An agent would have to click through the website like a person.

Agent payment protocols
  • x402Not present
  • MPPNot present
  • AP2Not present
  • ACPNot present
  • UCPNot present
Interfaces for AI agents
  • MCP Server CardNot present
  • A2A Agent CardNot present
  • Agent SkillsNot present
  • API CatalogNot present
  • llms.txtPublished
  • WebMCPCould not check
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: 86.1%
  • SitemapPassed

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

    study: 87.9%
  • Link headersNot met

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

    study: 1.5%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 4.3%
Content accessibility
50 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPassed

    An llms.txt that tells language models what the site offers.

    study: 31.0%
Bot access control
32 of 100
  • AI bot rulesPartly met

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

    study: 92.7%
  • Content SignalsNot met

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

    study: 2.3%
  • Web Bot AuthNot present

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

    study: 0.3%
APIs, auth and MCP
0 of 100
  • API CatalogNot met

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

    study: 1.3%
  • OAuth discoveryNot met

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

    study: 6.3%
  • OAuth Protected ResourceNot met

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

    study: 5.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.2%
  • MCP Server CardNot met

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

    study: 0.8%
  • A2A Agent CardNot met

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

    study: 0.2%
  • Agent SkillsNot met

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

    study: 1.0%
  • WebMCPCould not check

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

    study: 0.0%
  • ARD manifestNot met

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

    study: 0.2%

Score 36 of 100 · 97% of checks could run · checked on October 9, 2026 · solana.com · 2,200 companies scanned

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

AI readinessSection 10

The checks behind the AI readiness score

5 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: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • PassedHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Passedllms.txt publishedstudy: 28.1%
  • PassedToken budget (page weight)study: 97.3%

Bot Access Control

  • Not metExplicit AI bot rulesstudy: 11.5%

API / Auth / MCP

  • Not metAPI Catalog (.well-known/api-catalog)study: 1.1%
  • Not metOAuth Authorization Server discoverystudy: 5.2%
  • Not metOAuth Protected Resource discoverystudy: 4.6%
  • Not metMCP Server Cardstudy: 0.2%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 0.3%
  • Not metAgent Skills declaredstudy: 0.1%
AI crawlersSection 11

What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 86% 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.

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ShareSection 12

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Overall score 42 of 100 badge for Solana

A badge of this result that you can show on your own website. Copy the code below.

<a href="https://aeo-audit.rezolve.com/us/finance/solana.com"><img src="https://aeo-audit.rezolve.com/finance/badges/solana.com.svg" alt="Overall score 42 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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