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

Named in

9of 60 answers

by 3 of 4 assistants

Statement note

What this means for NewtonX

AI assistants name this research or media company in 15% of answers, while the typical company in its sector is not named at all. Its overall score is 39 out of 100, ranking 302nd of 2,219 companies. The website passes 6 out of 14 technical checks measuring readiness for AI tools.

We asked 15 unbranded questions about its market, so no question mentioned NewtonX by name. AI assistants named it in 9 of the 60 answers. Counting only how often it is named, it ranks 27th of 346 in its sector. The typical advisory or services firm is named in 0.0% of answers.

Overall score
39Overall score
  • Visibility20
  • Citations2
  • Sentiment75
  • Site quality80
  • AI readiness43
Summary of account
Named by AI in
15.0%
9 of 60 answers
Share of mentions
33.3%
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
31 of 346
by overall score, where the typical advisory or services firm scores 27

Get the full report on NewtonX as a PDF

Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

Line itemsSection 01

Every question, and where the company came up

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

  1. 01Peer-sourced research communities as an alternative to B2B market research platforms—how do they compare?0/4
  2. 02What are the typical price ranges for end-to-end B2B market research platforms in the US?0/4
  3. 03How do AI-driven B2B market research platforms compare to traditional research consultancies?0/4
  4. 04How can businesses use AI-native platforms to simulate buyer behavior in B2B markets?1/4
  5. 05Examples of leveraging professional insights for strategic planning in B2B companies0/4
  6. 06How can I ensure expert verification is reliable on B2B market research tools?1/4
  7. 07What should I consider before choosing a B2B expert survey platform for corporate research?1/4
  8. 08What are some non-AI options for sourcing verified business insights in the US?0/4
  9. 09Why am I not getting actionable data from my B2B market research platform?0/4
  10. 10Best ways to connect with verified professionals for B2B market insights in the US2/4
  11. 11Alternatives to AI-powered professional insights platforms for B2B market research2/4
  12. 12Is there a tiered pricing model for AI-driven B2B research intelligence tools?0/4
  13. 13Are AI-powered B2B research intelligence solutions worth the investment for large organizations?0/4
  14. 14Expert panel research platforms vs. online survey tools for B2B insights—what’s the difference?0/4
  15. 15What are the top AI-powered B2B market research platforms for enterprise decision-making?2/4
Total namedOpenAI: 0/15Claude: 4/15Perplexity: 2/15Gemini: 3/15All assistants: 9/60
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

“Best ways to connect with verified professionals for B2B market insights in the US”

The most reliable approach is to combine vetted expert networks, professional associations, and structured direct outreach—rather than relying solely on open social-media contacts.

Best channels

Expert networks: Use GLG, AlphaSights, Guidepoint, Third Bridge, NewtonX, or Dialectica when you need confidential interviews with current or former executives. Premium networks commonly support compliance-heavy research, while newer platforms such as Respondent, Maven, Zintro, and CleverX can offer lower-cost or faster access.

Verified B2B research panels: Platforms …

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
    Guidepoint
    4
  2. 02
    AlphaSense
    3
  3. 03
    Coleman Research
    1

Share of mentions

CompanyShare
  1. NewtonX
    33.3%
  2. GLG (Gerson Lehrman Group)
    29.6%
  3. Guidepoint
    22.2%
  4. AlphaSense
    11.1%
  5. Coleman Research
    3.7%
  6. Atheneum
    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
    cleverx.com
    20
  2. 02
    wynter.com
    11
  3. 03
    pipeline.zoominfo.com
    8
  4. 04
    demandbase.com
    7
  5. 05
    nexusexpertresearch.co
    5
  6. 06
    norstat.co
    5
  7. 07
    highspot.com
    5
  8. 08
    simular.ai
    4
  9. 09
    vantainsights.com
    4
  10. 10
    newtonx.com (its own website)
    4

NewtonX is in the study as a research or media company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

Claude
4/15
Gemini
3/15
Perplexity
2/15
OpenAI
0/15
Market comparisonSection 06

How NewtonX 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
20

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
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
39
Ranks 31 of 346. Typical company: 27
Named in answers
15.0%
Ranks 27 of 346. Typical company: 0.0%
AI readiness
43
Ranks 13 of 346. Typical company: 29
Against its categorySection 08

Compared with research and media companies

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

Overall score
39
Ranks 11 of 73. Typical company: 31
Named in answers
15.0%
Ranks 15 of 73. Typical company: 3.3%
AI readiness
43
Ranks 3 of 73. 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. NewtonX 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
63 of 100
  • AI bot rulesPassed

    Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.

    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 · 97% of checks could run · checked on October 9, 2026 · www.newtonx.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

  • 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 8 AI crawlers by name. All others follow its general rules.

Training AI

  • GPTBot*blocked
  • ClaudeBot*blocked
  • Anthropic-AIpartly
  • Google-Extended*blocked
  • Applebot-Extended*blocked
  • Meta-ExternalAgent*blocked
  • FacebookBotpartly
  • Bytespider*blocked
  • CCBot*blocked
  • Diffbot*blocked
  • 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.

Take it with you

Get the full report on NewtonX as a PDF

Every number on this page in a PDF you can keep and share with your team. Enter your work email to download it.

We’ll use your email to follow up about this report. Privacy policy

ShareSection 12

Share this result

Overall score 39 of 100 badge for NewtonX

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/newtonx.com"><img src="https://aeo-audit.rezolve.com/finance/badges/newtonx.com.svg" alt="Overall score 39 of 100, Finance AI Visibility Study 2026" width="280" height="64"></a>
Next step

Want AI assistants to name your company?

Book a 30-minute demo to see Rezolve Ai in action and what it can do for your business.

Request a demo