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.
30 of 2,219
its rank by overall score
Place in its category
1st of 177 consultancies
Closing balance

Named in

7of 60 answers

by 4 of 4 assistants

Statement note

What this means for Callstack

AI assistants name this consultancy in 11.7% of answers, which is above the typical company in its sector. Its overall score is 47 out of 100, ranking 30th of 2,219 in the study and 3rd of 346 in its sector. Its website passes 6 out of 14 technical checks for AI readiness.

We asked 15 unbranded questions about its market, so no question mentioned Callstack by name. AI assistants named it in 7 of the 60 answers. Counting only how often it is named, it ranks 36th of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
47Overall score
  • Visibility30
  • Citations2
  • Sentiment100
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
11.7%
7 of 60 answers
Share of mentions
100.0%
of the mentions of it and its 5 peers
AI readiness
6/14
technical checks passed. Typical for its sector: 4
Rank in its sector
3 of 346
by overall score, where the typical advisory or services firm scores 27

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Line itemsSection 01

Every question, and where the company came up

Callstack came up on 3 of 15 questions. Open any window to read that answer.

  1. 01How do pricing models work for cross-platform mobile app development consultancies?0/4
  2. 02How do consultancies help with modernizing legacy systems using cross-platform mobile technology?0/4
  3. 03React Native vs Flutter for enterprise mobile app development—pros and cons for large teams0/4
  4. 04What is the typical price range for enterprise-level React Native engineering consultancy in the US?0/4
  5. 05Best practices for integrating AI agents into enterprise mobile development workflows0/4
  6. 06Top engineering consultancies for scaling cross-platform mobile products in the US0/4
  7. 07What options exist apart from technical consultancies for supporting large-scale app modernization?0/4
  8. 08How does using a dedicated consultancy for React Native compare to assembling an internal team?0/4
  9. 09Are premium React Native development services cost-effective for enterprises?0/4
  10. 10Where can enterprise tech leaders find expertise for optimizing complex React Native products?3/4
  11. 11Is investing in AI-enhanced engineering consultancies worthwhile for accelerating app delivery?0/4
  12. 12Alternatives to AI-powered engineering consultancies for accelerating React Native projects1/4
  13. 13What are the best consulting services for implementing AI solutions in React Native apps?3/4
  14. 14Troubleshooting performance issues in large-scale React Native applications0/4
  15. 15Common challenges when migrating existing apps to React Native and how to resolve them0/4
Total namedOpenAI: 2/15Claude: 1/15Perplexity: 1/15Gemini: 3/15All assistants: 7/60
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 OpenAI actually said

An answer that names the company

OpenAInamed the company

“Where can enterprise tech leaders find expertise for optimizing complex React Native products?”

Short answer — in four complementary places:

1) Boutique React Native consultancies that specialize in enterprise mobile/scale (for architecture, migrations, OTA, native bridges). Examples: Callstack and React Native Pro. (callstack.com)

2) Large systems integrators / enterprise consultancies (when you need deep security, compliance, global delivery or to integrate with large backend/cloud estates): Accenture, EPAM, Cognizant and similar firms appear in enterprise vendor assessments. (accenture.com …

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.

Share of mentions

CompanyShare
  1. Callstack
    100.0%
  2. Infinite Red
    0.0%
  3. Theodo
    0.0%
  4. G2i
    0.0%
  5. BAM
    0.0%
  6. Motiv
    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
    callstack.com (its own website)
    5
  2. 02
    reactnative.dev
    5
  3. 03
    devsdata.com
    4
  4. 04
    belitsoft.com
    4
  5. 05
    reactnativeexpert.com
    4
  6. 06
    netguru.com
    4
  7. 07
    techaheadcorp.com
    4
  8. 08
    medium.com
    4
  9. 09
    clutch.co
    4
  10. 10
    sortlist.com
    3

Callstack is in the study as a consultancy.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Gemini
3/15
OpenAI
2/15
Claude
1/15
Perplexity
1/15
Market comparisonSection 06

How Callstack 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
30

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
100

How positively AI describes the company

Site quality
80

How well built the website's own pages are

AI readiness
43

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 advisory and services firms

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

Overall score
47
Ranks 3 of 346. Typical company: 27
Named in answers
11.7%
Ranks 36 of 346. Typical company: 0.0%
AI readiness
43
Ranks 13 of 346. Typical company: 29
Against its categorySection 08

Compared with consultancies

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

Overall score
47
Ranks 1 of 177. Typical company: 27
Named in answers
11.7%
Ranks 12 of 177. Typical company: 0.0%
AI readiness
43
Ranks 4 of 177. 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. Callstack 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 SkillsPublished
  • API CatalogPublished
  • 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 headersPassed

    HTTP Link headers on the homepage that point agents at machine readable resources.

    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 negotiationPassed

    Requests sent with Accept: text/markdown receive a markdown version of the page.

    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
30 of 100
  • API CatalogPassed

    A linkset at /.well-known/api-catalog listing APIs, specs and docs.

    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 SkillsPassed

    A skills index at /.well-known/agent-skills/index.json that agents can load.

    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 63 of 100 · 97% of checks could run · checked on October 9, 2026 · www.callstack.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

6 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

  • PassedMarkdown 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 47 of 100 badge for Callstack

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/callstack.com"><img src="https://aeo-audit.rezolve.com/finance/badges/callstack.com.svg" alt="Overall score 47 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
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