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

Named in

4of 60 answers

by 3 of 4 assistants

Statement note

What this means for Rokt

AI assistants name Rokt in 6.7% of answers, which is more than the typical company in its sector at 1.7%. Its overall score is 37 out of 100, ranking 494th of 2,219 companies in the study. The website passes 5 of 14 technical checks as a sign of its readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned Rokt by name. AI assistants named it in 4 of the 60 answers. Counting only how often it is named, it ranks 155th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Overall score
37Overall score
  • Visibility14
  • Citations3
  • Sentiment75
  • Site quality80
  • AI readiness36
Summary of account
Named by AI in
6.7%
4 of 60 answers
Share of mentions
36.4%
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
152 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

Rokt came up on 2 of 15 questions. Open any window to read that answer.

  1. 01Why am I not seeing increased profits after integrating an AI transaction optimization solution?0/4
  2. 02Is it worth investing in an AI-powered transaction optimization platform for a midsize online retailer?0/4
  3. 03AI transaction moment platforms vs. standard recommendation engines—what’s more effective for revenue growth?3/4
  4. 04What are alternatives to AI-driven transaction optimization for boosting ecommerce profits?0/4
  5. 05Will an AI-driven transaction engine help my ecommerce site acquire more customers?0/4
  6. 06What solutions exist for enhancing the checkout moment without using AI platforms?0/4
  7. 07What AI technology is most effective for optimizing online checkout experiences?1/4
  8. 08What are the best AI-powered ecommerce platforms for increasing transaction revenue?0/4
  9. 09How do AI-driven transaction optimization solutions compare to traditional ecommerce platforms?0/4
  10. 10What are common issues when setting up AI-based relevance engines at checkout?0/4
  11. 11How are AI ecommerce optimization platforms typically priced in the US?0/4
  12. 12How can online retailers use AI to present more relevant offers during checkout?0/4
  13. 13Which ecommerce optimization tools are best for enhancing customer experience at the point of sale?0/4
  14. 14What pricing tiers exist for AI-powered transaction engines for large retailers?0/4
  15. 15What’s the best way to use AI for maximizing ancillary revenue in ecommerce transactions?0/4
Total namedOpenAI: 0/15Claude: 1/15Perplexity: 1/15Gemini: 2/15All assistants: 4/60
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 Gemini actually said

An answer that names the company

Gemininamed the company

“What AI technology is most effective for optimizing online checkout experiences?”

Machine learning (ML) and artificial intelligence (AI) are highly effective for optimizing online checkout experiences, primarily through AI-powered decisioning that leverages real-time data and predictive analytics rokt.com. This approach moves beyond static rules to create a dynamic, personalized, and efficient checkout flow, leading to increased conversion rates and improved customer satisfaction bigcommerce.com.

Here's how AI …

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
    Dynamic Yield
    8
  2. 02
    Bolt
    2

Share of mentions

CompanyShare
  1. Dynamic Yield
    54.5%
  2. Rokt
    36.4%
  3. Bolt
    9.1%
  4. Cart.com
    0.0%
  5. Bluecore
    0.0%
  6. Rise.ai by Wix
    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
    shopify.com
    10
  2. 02
    elogic.co
    7
  3. 03
    rokt.com (its own website)
    7
  4. 04
    commercepundit.com
    7
  5. 05
    checkout.com
    6
  6. 06
    stripe.com
    5
  7. 07
    crescendo.ai
    5
  8. 08
    envive.ai
    4
  9. 09
    insiderone.com
    4
  10. 10
    bloomreach.com
    4

Rokt is in the study as a fintech infrastructure company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
2/15
Claude
1/15
Perplexity
1/15
OpenAI
0/15
Market comparisonSection 06

How Rokt 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
14

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

Citations
3

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 financial technology and data companies

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

Overall score
37
Ranks 152 of 574. Typical company: 29
Named in answers
6.7%
Ranks 155 of 574. Typical company: 1.7%
AI readiness
36
Ranks 83 of 574. Typical company: 29
Against its categorySection 08

Compared with fintech infrastructure companies

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

Overall score
37
Ranks 63 of 315. Typical company: 28
Named in answers
6.7%
Ranks 66 of 315. Typical company: 1.7%
AI readiness
36
Ranks 40 of 315. 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. Rokt 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
25 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtPartly 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 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 31 of 100 · 97% of checks could run · checked on October 9, 2026 · www.rokt.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 37 of 100 badge for Rokt

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<a href="https://aeo-audit.rezolve.com/us/finance/rokt.com"><img src="https://aeo-audit.rezolve.com/finance/badges/rokt.com.svg" alt="Overall score 37 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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