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.
2,199 of 2,219
its rank by overall score
Closing balance

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for Atomic Invest

AI assistants rarely name Atomic Invest in their answers, mentioning it just once in 60 answers. In that answer, assistants also name Alpaca, DriveWealth, and Apex Fintech Solutions. Atomic Invest has an overall score of 16 out of 100, ranking 2,199th of 2,219 companies. How ready its website is for AI tools could not be measured, as the site turned away the automated check.

We asked 15 unbranded questions about its market, so no question mentioned Atomic Invest by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 267th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

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 peers.

Overall score
16Overall score
  • Visibility2
  • Citations0
  • Sentiment50
  • Site quality33
  • AI readiness0
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
2.4%
of the mentions of it and its 5 peers
AI readiness
n/a
the website turned our check away
Rank in its sector
570 of 574
by overall score, where the typical financial technology and data company scores 29

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Line itemsSection 01

Every question, and where the company came up

Atomic Invest came up on 1 of 15 questions. Open any window to read that answer.

  1. 01How does an embedded investment platform differ from a white-label brokerage provider?0/4
  2. 02What are some options besides turnkey brokerage solutions for consumer brands seeking to offer investing?1/4
  3. 03Why might users face delays in account verification on investment infrastructure platforms?0/4
  4. 04Alternatives to building an in-house brokerage platform for offering investing tools?0/4
  5. 05Which investment APIs are most commonly used by fintech apps serving US consumers?0/4
  6. 06What are some ways fintech platforms enable fractional investing for users?0/4
  7. 07How are fees typically structured for investment infrastructure platforms used by fintech firms?0/4
  8. 08Best ways for consumer brands to add investment features to their apps?0/4
  9. 09Common challenges when integrating investment APIs with existing fintech apps?0/4
  10. 10Is investment infrastructure as a service worth it for emerging fintech companies?0/4
  11. 11Investment-as-a-service vs direct broker integration—what are the pros and cons for fintech companies?0/4
  12. 12What are the most popular investment infrastructure platforms for fintech startups in the US?0/4
  13. 13How can rewards programs be combined with digital investing features in consumer apps?0/4
  14. 14What is the average minimum monthly commitment for US-based embedded investment solutions?0/4
  15. 15Do platforms for launching investment products offer compliance support in the US?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 1/60
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 some options besides turnkey brokerage solutions for consumer brands seeking to offer investing?”

Consumer brands have several alternatives to a fully turnkey brokerage product:

API-based brokerage infrastructure: Integrate account opening, KYC, funding, trading, fractional shares, custody, and tax reporting through providers such as DriveWealth, Apex, Alpaca, or Atomic Invest. This gives the brand more control over the customer experience while outsourcing regulated infrastructure.

Modular wealth technology: Select only the components needed—digital onboarding, risk assessment, portfolio construction, rebalancing, advice, or a client portal—rather than adopting an 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
    Alpaca
    10
  2. 02
    DriveWealth
    9
  3. 03
    Apex Fintech Solutions
    5

Share of mentions

CompanyShare
  1. Alpaca
    29.3%
  2. Plaid (Invest product)
    26.8%
  3. DriveWealth
    22.0%
  4. Apex Fintech Solutions
    19.5%
  5. Atomic Invest
    2.4%
  6. Synapse
    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
    walletinvestor.com
    8
  2. 02
    openbankingtracker.com
    7
  3. 03
    fintechspecs.com
    5
  4. 04
    plaid.com
    4
  5. 05
    techbullion.com
    4
  6. 06
    apideck.com
    4
  7. 07
    f6s.com
    4
  8. 08
    linkedin.com
    4
  9. 09
    investsuite.com
    3
  10. 10
    fuze.finance
    3

Atomic Invest is in the study as an embedded finance provider.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Perplexity
1/15
Claude
0/15
Gemini
0/15
OpenAI
0/15
Market comparisonSection 06

How Atomic Invest 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
2

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

Citations
0

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

Sentiment
50

How positively AI describes the company

Site quality
33

How well built the website's own pages are

AI readiness
0

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 financial technology and data companies

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

Overall score
16
Ranks 570 of 574. Typical company: 29
Named in answers
1.7%
Ranks 267 of 574. Typical company: 1.7%
AI readiness
0
Ranks 568 of 574. Typical company: 29
Against its categorySection 08

Compared with embedded finance providers

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

Overall score
16
Ranks 19 of 19. Typical company: 27
Named in answers
1.7%
Ranks 7 of 19. Typical company: 0.0%
AI readiness
0
Ranks 19 of 19. 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. Atomic Invest 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.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
41 of 100
  • robots.txtPassed

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

    study: 86.1%
  • SitemapNot 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
0 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtNot met

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

    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 ResourceCould not check

    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 17 of 100 · 94% of checks could run · checked on October 9, 2026 · www.atomicinvest.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

AI readiness could not be measured. The website turned away our automated check, so none of the 14 checks could run. That reflects the website’s rules for automated visitors, not what the website contains.

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