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
T

Toast

toasttab.com

Payment processors, acquirers and point of saleCards and payments

Money20/20 attendee

Statement period
October 9, 2026
when the AI assistants were asked
Account no.
762 of 2,219
its rank by overall score
Place in its category
54th of 203 payment processors
Closing balance

Named in

11of 60 answers

by 4 of 4 assistants

Statement note

What this means for Toast

AI assistants name Toast in 18.3% of answers, while the typical company in its sector is not named at all. Toast has an overall score of 32 out of 100, ranking 762nd of 2,219 companies. Its website passes 2 out of 14 technical checks for readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Toast by name. AI assistants named it in 11 of the 60 answers. Counting only how often it is named, it ranks 39th of 375 in its sector. The typical cards and payments company is named in 0.0% of answers.

Overall score
32Overall score
  • Visibility19
  • Citations2
  • Sentiment74
  • Site quality60
  • AI readiness14
Summary of account
Named by AI in
18.3%
11 of 60 answers
Share of mentions
23.4%
of the mentions of it and its 5 peers
AI readiness
2/14
technical checks passed. Typical for its sector: 4
Rank in its sector
113 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

Toast came up on 6 of 15 questions. Open any window to read that answer.

  1. 01Which management systems help restaurants improve guest experience and increase sales?2/4
  2. 02How do you handle connection issues with restaurant POS platforms during busy hours?0/4
  3. 03Are there affordable monthly subscription options for all-in-one restaurant management systems?2/4
  4. 04What are the differences between all-in-one restaurant management platforms and POS-only systems?1/4
  5. 05How do cloud-based restaurant POS systems compare to traditional on-site solutions?0/4
  6. 06What are the best restaurant POS platforms for small businesses in the US?4/4
  7. 07What are effective ways to use a restaurant management system for tracking inventory and orders?0/4
  8. 08What pricing tiers are common for full-service restaurant POS platforms in the US?1/4
  9. 09Are advanced analytics features important when choosing a restaurant operations platform?0/4
  10. 10How can point of sale platforms streamline mid-shift changes in a busy restaurant?0/4
  11. 11Which non-traditional solutions can help restaurants analyze sales and make smarter decisions?1/4
  12. 12Is investing in an AI-powered POS system worth it for a busy restaurant?0/4
  13. 13What are alternative technologies to POS platforms for small restaurants wanting to manage operations?0/4
  14. 14What should restaurant operators do if their management system frequently crashes or lags?0/4
  15. 15What features should restaurants look for in a POS and management platform designed for fast-paced environments?0/4
Total namedOpenAI: 2/15Claude: 2/15Perplexity: 3/15Gemini: 4/15All assistants: 11/60
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 restaurant POS platforms for small businesses in the US?”

For most small US restaurants, the strongest choices are Square for Restaurants, Toast, SpotOn, TouchBistro, and Clover. The best fit depends mainly on restaurant type, required features, and tolerance for contracts and payment-processing lock-in.

Platform · Best for · Main strengths · Watch-outs

Square for Restaurants · Cafés, food trucks, counter-service restaurants, and startups · Easy setup, free entry-level plan, transparent ecosystem, online ordering and payroll add-ons; frequently rated a leading all-around option for small restaurants · Advance …

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
    TouchBistro
    14
  2. 02
    Square for Restaurants
    6

Share of mentions

CompanyShare
  1. Square for Restaurants
    31.9%
  2. Toast
    23.4%
  3. TouchBistro
    19.1%
  4. Clover Restaurant POS
    19.1%
  5. Revel Systems
    4.3%
  6. Upserve POS (by Lightspeed)
    2.1%
ReferrersSection 04

Websites the AI used as sources

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

  1. 01
    restaurant365.com
    12
  2. 02
    expertmarket.com
    11
  3. 03
    chowly.com
    9
  4. 04
    specgravity.com
    9
  5. 05
    owner.com
    8
  6. 06
    squareup.com
    8
  7. 07
    upmenu.com
    8
  8. 08
    pos.toasttab.com
    8
  9. 09
    restaurant.eatapp.co
    7
  10. 10
    clotouch.com
    7

Toast 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
2/15
OpenAI
2/15
Market comparisonSection 06

How Toast 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
19

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
74

How positively AI describes the company

Site quality
60

How well built the website's own pages are

AI readiness
14

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
32
Ranks 113 of 375. Typical company: 27
Named in answers
18.3%
Ranks 39 of 375. Typical company: 0.0%
AI readiness
14
Ranks 300 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
32
Ranks 54 of 203. Typical company: 27
Named in answers
18.3%
Ranks 13 of 203. Typical company: 0.0%
AI readiness
14
Ranks 148 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

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

Can an AI agent check out here?

Not by itself. Toast 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
100 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 headersCould not check

    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
100 of 100
  • Markdown negotiationCould not check

    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 43 of 100 · 81% of checks could run · checked on October 9, 2026 · pos.toasttab.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

2 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%
  • Not metXML sitemapstudy: 79.4%
  • Not metHTTP Link headers (RFC 8288)study: 42.5%

Content Accessibility

  • Not metMarkdown content negotiationstudy: 7.4%
  • Not metllms.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

  • GPTBotpartly
  • ClaudeBotpartly
  • Anthropic-AIpartly
  • Google-Extendedpartly
  • Applebot-Extendedpartly
  • Meta-ExternalAgentpartly
  • FacebookBotpartly
  • Bytespiderpartly
  • CCBotpartly
  • Diffbotpartly
  • Omgilibotpartly

AI search

  • OAI-SearchBotpartly
  • Claude-SearchBotpartly
  • PerplexityBotpartly
  • Applebotpartly
  • Amazonbotpartly
  • YouBotpartly

Answering questions

  • ChatGPT-Userpartly
  • Claude-Userpartly
  • Perplexity-Userpartly
  • DuckAssistBotpartly
  • MistralAI-Userpartly

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 32 of 100 badge for Toast

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/toasttab.com"><img src="https://aeo-audit.rezolve.com/finance/badges/toasttab.com.svg" alt="Overall score 32 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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