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

Named in

1of 60 answers

by 1 of 4 assistants

Statement note

What this means for SearchWorks

AI assistants rarely name this fraud and identity company, mentioning it in 1 of 60 answers. In the same response, CoreLogic and LexisNexis Risk Solutions are also named. It has an overall score of 33 out of 100, ranking 754th of 2,219, which is slightly above the typical company in its sector. Its website passes 1 of 14 technical checks for AI tool readiness.

We asked 15 unbranded questions about its market, so no question mentioned SearchWorks by name. AI assistants named it in 1 of the 60 answers. Counting only how often it is named, it ranks 267th of 574 in its sector. The typical financial technology and data company is named in 1.7% of answers.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its peers.

Overall score
33Overall score
  • Visibility3
  • Citations0
  • Sentiment100
  • Site quality73
  • AI readiness7
Summary of account
Named by AI in
1.7%
1 of 60 answers
Share of mentions
5.3%
of the mentions of it and its 5 peers
AI readiness
1/14
technical checks passed. Typical for its sector: 4
Rank in its sector
221 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

SearchWorks came up on 1 of 15 questions. Open any window to read that answer.

  1. 01Which tools can replace multi-source property and business verification in a single solution?0/4
  2. 02What are the typical pricing tiers for business data aggregation and verification services in the US?0/4
  3. 03Where can organizations find secure data platforms offering over 100 search types for compliance requirements?0/4
  4. 04How does a data aggregation platform differ from using separate verification tools for business, property, and credit checks?0/4
  5. 05Data aggregation vs. manual data verification: which is more reliable for compliance purposes?0/4
  6. 06Are advanced data verification platforms worth the monthly subscription cost for ongoing compliance needs?0/4
  7. 07Is investing in an all-in-one data aggregation and verification platform worthwhile for a small business?0/4
  8. 08How can I resolve access issues or failed searches in a data compliance platform?0/4
  9. 09Which services offer comprehensive risk management data tools for organizations?0/4
  10. 10What are effective ways organizations use property ownership history searches for risk management?0/4
  11. 11What alternatives exist to comprehensive data aggregation platforms for compliance and verification needs?0/4
  12. 12Are there pay-as-you-go options available for identity and credit check platforms?0/4
  13. 13How can data verification platforms help with FIC Act compliance in South Africa?0/4
  14. 14What are the best platforms for business and property data verification in South Africa?1/4
  15. 15Why might business verification results be incomplete when using a data aggregation tool?0/4
Total namedOpenAI: 0/15Claude: 0/15Perplexity: 1/15Gemini: 0/15All assistants: 1/60
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 platforms for business and property data verification in South Africa?”

… SearchWorks · Broad due diligence and compliance · Real-time searches across individuals, businesses, property, credit and related assets.

VerifyNow · API-based KYC/KYB operations · South African ID checks, CIPC searches, AML/PEP screening, bank-account verification, biometrics, document checks, people tracing and property searches.

DataNamix CIPC Search · Company-record access and enrichment · CIPC company searches, with additional identity and biometric verification options through its partner ecosystem.

Ikhayalami · Property identity and consent …

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
    CoreLogic
    3
  2. 02
    LexisNexis Risk Solutions
    3

Share of mentions

CompanyShare
  1. LexisNexis Risk Solutions
    42.1%
  2. Experian Business Information Services
    26.3%
  3. TransUnion SmartMove & Business Solutions
    15.8%
  4. CoreLogic
    10.5%
  5. SearchWorks
    5.3%
  6. TLOxp by TransUnion
    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
    lendflow.com
    7
  2. 02
    sourceforge.net
    7
  3. 03
    youverify.co
    6
  4. 04
    datanamix.com
    5
  5. 05
    compliancely.com
    5
  6. 06
    verifynow.co.za
    4
  7. 07
    fic.gov.za
    4
  8. 08
    middesk.com
    4
  9. 09
    companydata.com
    3
  10. 10
    binderr.com
    3

SearchWorks is in the study as a fraud and identity company.

By assistantSection 05

Which AI assistants named the company

Answers naming it, out of answers received

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

How SearchWorks 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
3

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

Citations
0

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

Sentiment
100

How positively AI describes the company

Site quality
73

How well built the website's own pages are

AI readiness
7

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
33
Ranks 221 of 574. Typical company: 29
Named in answers
1.7%
Ranks 267 of 574. Typical company: 1.7%
AI readiness
7
Ranks 533 of 574. Typical company: 29
Against its categorySection 08

Compared with fraud and identity companies

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

Overall score
33
Ranks 75 of 171. Typical company: 30
Named in answers
1.7%
Ranks 85 of 171. Typical company: 1.7%
AI readiness
7
Ranks 161 of 171. Typical company: 36
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.

To reach level 1:
  • 2 of robots.txt, Sitemap, Link headers
Can an AI agent check out here?

Not by itself. SearchWorks 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.txtNot present
  • WebMCPCould not check
Show every check, for your technical team
Discoverability
0 of 100
  • robots.txtNot met

    Publish a valid robots.txt with crawl rules and a Sitemap line.

    study: 86.1%
  • SitemapNot met

    Serve an XML sitemap and reference it 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
0 of 100
  • Markdown negotiationNot met

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

    study: 6.2%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 31.0%
Bot access control
0 of 100
  • AI bot rulesNot 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 0 of 100 · 97% of checks could run · checked on October 9, 2026 · www.searchworks.co.za · 2,200 companies scanned

See how every company did, and how this was measured.

AI readinessSection 10

The checks behind the AI readiness score

1 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

  • Not metrobots.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%
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