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.

SWIFT47/60TRANSUNION46/60EXPERIAN42/60COINSTAR41/60NAVY FEDERAL CREDIT UNION41/60ZELLE41/60BLOOMBERG L.P.38/60TRADINGVIEW38/60BANCO POPULAR DE PUERTO RICO37/60PAYPAL37/60VENMO37/60CHEXSYSTEMS33/60EQUIFAX33/60MORNINGSTAR32/60S&P GLOBAL31/60ALPACA MARKETS30/60COINBASE30/60PINWHEEL29/60STRIPE29/60XERO29/60ACORNS28/60AFFIRM28/60PAYFAST (PAYGATE)28/60PAYONEER28/60INTERACTIVE BROKERS26/60CHARLES SCHWAB19/60THE HARTFORD9/60MOODY'S21/60CME GROUP19/60ACCENTURE11/60CHUBB10/60MORGAN STANLEY6/60AMERICAN EXPRESS14/60SYNCHRONY FINANCIAL12/60FACTSET20/60NASDAQ19/60ALLSTATE11/60WELLS FARGO18/60PAYCHEX10/60ARES MANAGEMENT3/60
Rezolve Ai
MethodDemo
Back to the study
AI visibility statementFinance AI Visibility Study 2026Issued October 14, 2026
Account holder

SpotOn

spoton.com

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9 to 14, 2026
when the AI assistants were asked
Account no.
553 of 2,219
its rank by overall score
Place in its category
37th of 203 payment processors
Closing balance

Named in

8of 60 answers

by 3 of 4 assistants

Statement note

What this means for SpotOn

AI assistants name SpotOn in 13.3% of answers, while the typical company in its sector is named in 0% of answers. SpotOn has an overall score of 36 out of 100, ranking 553rd of 2,219 companies. Its website passes 5 of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned SpotOn by name. AI assistants named it in 8 of the 60 answers. Counting only how often it is named, it ranks 59th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
36Overall score
  • Visibility12
  • Citations2
  • Sentiment75
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
13.3%
8 of 60 answers
Share of mentions
10.5%
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
75 of 375
by overall score, where the typical cards and payments company scores 27

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Line itemsSection 01

Every question, and where the company came up

SpotOn came up on 5 of 15 questions. Open any window to read that answer.

  1. 01Are there POS systems for restaurants that charge a flat rate rather than per transaction?0/4
  2. 02What is the best POS setup for fast-casual restaurants with high-volume?1/4
  3. 03How does a cloud-based point-of-sale differ from a traditional POS in restaurants?0/4
  4. 04Restaurant POS vs. all-in-one restaurant management systems—what’s the difference?0/4
  5. 05Alternatives to traditional restaurant POS terminals for small eateries?0/4
  6. 06Which restaurant management platforms offer online ordering and team management?2/4
  7. 07What are some low-cost restaurant management tools available for startup restaurants?2/4
  8. 08How to manage a restaurant without a dedicated POS system?0/4
  9. 09Do restaurant point-of-sale systems really help increase efficiency and profits?0/4
  10. 10What are the best point-of-sale systems for full-service restaurants?2/4
  11. 11What are typical monthly costs for restaurant point-of-sale and management solutions in the US?1/4
  12. 12How can restaurant management technology help streamline reservations and table management?0/4
  13. 13What should I do if my restaurant POS system goes offline during service?0/4
  14. 14Is investing in an integrated restaurant management platform worth it for small businesses?0/4
  15. 15Common problems restaurant owners face when using digital point-of-sale systems?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 3/15Gemini: 4/15All assistants: 8/60
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 best point-of-sale systems for full-service restaurants?”

The best POS systems for full-service restaurants are generally Toast, Square for Restaurants, Lightspeed Restaurant, TouchBistro, SpotOn, and Oracle MICROS/NCR Aloha. The right choice depends mainly on service complexity, number of locations, payment-processing preferences, and budget.

POS system · Best for · Key strengths · Main caution

Toast · Best overall for most full-service restaurants · Strong tableside ordering, coursing, kitchen-display integrations, online ordering, payroll, loyalty, and restaurant-specific hardware; reviewers frequently rank it …

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
    Toast
    24
  2. 02
    TouchBistro
    16
  3. 03
    Square for Restaurants
    10
  4. 04
    Revel Systems
    2

Share of mentions

CompanyShare
  1. Square for Restaurants
    34.2%
  2. Toast
    27.6%
  3. TouchBistro
    18.4%
  4. SpotOn
    10.5%
  5. Revel Systems
    6.6%
  6. Upserve (by Lightspeed)
    2.6%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    tryotter.com
    13
  2. 02
    tech.co
    9
  3. 03
    upmenu.com
    8
  4. 04
    owner.com
    8
  5. 05
    chowly.com
    7
  6. 06
    restaurant365.com
    6
  7. 07
    posusa.com
    6
  8. 08
    joinhomebase.com
    6
  9. 09
    expertmarket.com
    5
  10. 10
    bpapos.com
    4

SpotOn is in the study as a payment processor.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
4/15
Perplexity
3/15
Claude
1/15
OpenAI
0/15
Market comparisonSection 06

How SpotOn 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
12

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

Citations
2

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

Sentiment
75

How positively AI describes the company

Site quality
80

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 cards and payments companies

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

Overall score
36
Ranks 75 of 375. Typical company: 27
Named in answers
13.3%
Ranks 59 of 375. Typical company: 0.0%
AI readiness
36
Ranks 41 of 375. Typical company: 29
Against its categorySection 08

Compared with payment processors

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

Overall score
36
Ranks 33 of 203. Typical company: 27
Named in answers
13.3%
Ranks 19 of 203. Typical company: 0.0%
AI readiness
36
Ranks 23 of 203. 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 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. SpotOn 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 · www.spoton.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%
  • 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

  • PassedExplicit 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 rules for 21 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*allowed
  • ClaudeBot*allowed
  • Anthropic-AI*blocked
  • Google-Extended*allowed
  • Applebot-Extended*allowed
  • Meta-ExternalAgent*allowed
  • FacebookBot*allowed
  • Bytespider*blocked
  • CCBot*blocked
  • Diffbot*blocked
  • Omgilibot*blocked

AI search

  • OAI-SearchBot*allowed
  • Claude-SearchBot*allowed
  • PerplexityBot*allowed
  • Applebot*allowed
  • Amazonbot*allowed
  • YouBot*allowed

Answering questions

  • ChatGPT-User*allowed
  • Claude-User*allowed
  • Perplexity-User*allowed
  • DuckAssistBotpartly
  • MistralAI-User*allowed

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

Share this result

Overall score 36 of 100 badge for SpotOn

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/spoton.com"><img src="https://aeo-audit.rezolve.com/finance/badges/spoton.com.svg" alt="Overall score 36 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
End of statement
All 2,219 companiesHow we measured this
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