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 and 10, 2026
when the AI assistants were asked
Account no.
62 of 2,219
its rank by overall score
Place in its category
2nd of 20 online brokerages
Closing balance

Named in

30of 60 answers

by 4 of 4 assistants

Statement note

What this means for Alpaca Markets

AI assistants name this online brokerage in 50% of answers, while the typical company in its sector is named in only 0.8% of answers. Alpaca Markets has an overall score of 44 out of 100, ranking 62nd of 2,219 companies overall and 6th of 238 in its sector. Its website passes 3 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned Alpaca Markets by name. AI assistants named it in 30 of the 60 answers. Counting only how often it is named, it ranks 1st of 238 in its sector. The typical investing and wealth company is named in 0.8% of answers.

Overall score
44Overall score
  • Visibility46
  • Citations5
  • Sentiment50
  • Site quality87
  • AI readiness36
Summary of account
Named by AI in
50.0%
30 of 60 answers
Share of mentions
42.3%
of the mentions of it and its 5 peers
AI readiness
3/14
technical checks passed. Typical for its sector: 4
Rank in its sector
6 of 238
by overall score, where the typical investing and wealth company scores 28

Get the full report on Alpaca Markets as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

Alpaca Markets came up on 10 of 15 questions. Open any window to read that answer.

  1. 01What are the best APIs for stock and crypto trading in the US for fintech developers?3/4
  2. 02Why might a stock trade not execute properly through an API?0/4
  3. 03Is a developer-first trading API worth it for building investment apps?2/4
  4. 04How can fintech businesses use APIs to offer algorithmic trading services to customers?2/4
  5. 05Which investment API platforms are popular among US-based fintech startups?4/4
  6. 06What should businesses look for when choosing an investment and trading API platform?0/4
  7. 07How does a stock trading API differ from a cryptocurrency trading API for developers?3/4
  8. 08What are some alternatives to US-based stock and crypto trading APIs for developers?2/4
  9. 09API-first trading platforms vs. traditional brokerage platforms: what are the pros and cons for institutions?0/4
  10. 10Alternatives to multi-leg options trading APIs for fintech app development3/4
  11. 11Common issues developers face when integrating trading APIs into financial applications0/4
  12. 12Best use cases for multi-asset APIs in building custom trading solutions0/4
  13. 13Typical costs and fee structures for US-based trading API platforms3/4
  14. 14Which US trading APIs support both natural language trading and automated algorithms?4/4
  15. 15Are there affordable API options for crypto and options trading in the US?4/4
Total namedOpenAI: 5/15Claude: 8/15Perplexity: 7/15Gemini: 10/15All assistants: 30/60
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

“Which US trading APIs support both natural language trading and automated algorithms?”

The clearest US-accessible options are Alpaca, TradeStation, tastytrade, Webull, and moomoo. They combine programmable trading APIs or strategy engines with natural-language access through MCP, AI-agent integrations, or native AI features.

API/platform · Natural-language trading · Automated algorithms · Best fit

Alpaca · Official MCP integration can connect AI assistants to account, market-data, and trading functions. · REST, WebSocket, SDKs, and paper trading support automated stock, options, and crypto strategies. · Developers building AI-en …

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
    Tradier
    13
  2. 02
    Polygon.io
    9
  3. 03
    DriveWealth
    2

Share of mentions

CompanyShare
  1. Alpaca Markets
    42.3%
  2. Tradier
    22.5%
  3. Polygon.io
    18.3%
  4. TradeStation API
    12.7%
  5. DriveWealth
    4.2%
  6. Flourish
    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
    alpaca.markets (its own website)
    19
  2. 02
    docs.alpaca.markets
    9
  3. 03
    investingintheweb.com
    8
  4. 04
    medium.com
    8
  5. 05
    interactivebrokers.com
    8
  6. 06
    dev.to
    7
  7. 07
    walletinvestor.com
    7
  8. 08
    mstock.com
    7
  9. 09
    coinapi.io
    6
  10. 10
    bitcoinfoundation.org
    6

Alpaca Markets is in the study as an online brokerage.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
10/15
Claude
8/15
Perplexity
7/15
OpenAI
5/15
Market comparisonSection 06

How Alpaca Markets 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
46

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

Citations
5

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

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
36

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 investing and wealth companies

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

Overall score
44
Ranks 6 of 238. Typical company: 28
Named in answers
50.0%
Ranks 1 of 238. Typical company: 0.8%
AI readiness
36
Ranks 15 of 238. Typical company: 29
Against its categorySection 08

Compared with online brokerages

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

Overall score
44
Ranks 2 of 20. Typical company: 36
Named in answers
50.0%
Ranks 1 of 20. Typical company: 10.0%
AI readiness
36
Ranks 4 of 20. Typical company: 29
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. Alpaca Markets 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
31 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapPartly met

    Serve an XML sitemap and reference it 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
0 of 100
  • AI bot rulesNot 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 18 of 100 · 97% of checks could run · checked on October 9, 2026 · alpaca.markets · 2,200 companies scanned

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

AI readinessSection 10

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

  • Not metrobots.txt publishedstudy: 85.1%
  • PassedXML sitemapstudy: 79.4%
  • Not metHTTP 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%
Take it with you

Get the full report on Alpaca Markets as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 11

Share this result

Overall score 44 of 100 badge for Alpaca Markets

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/alpaca.markets"><img src="https://aeo-audit.rezolve.com/finance/badges/alpaca.markets.svg" alt="Overall score 44 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo