- Visibility24
- Citations3
- Sentiment77
- Site quality93
- AI readiness43
AI assistants name OneSpan in 26.7% of answers, which is more often than the typical company in the technology sector, named in 10%. Its overall score is 43 out of 100, ranking it 182nd of 2,047 companies. The OneSpan website passes 6 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named OneSpan. AI assistants named it in 16 of 60 answers (26.7%). The typical technology company is named in 10.0% of answers. By how often it is named, OneSpan ranks 55 of 273 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
273 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“Top cybersecurity platforms for high-assurance digital agreements in the US”
I'll search for information about top cybersecurity platforms specifically focused on high-assurance digital agreements in the US.Let me search for more specific information about high-assurance digital agreement platforms in the US market.Based on my research, here are the top cybersecurity platforms for high-assurance digital agreements in the US:
Leading Platforms
OneSpan Sign
OneSpan has more than 25 years of experience in electronic signatures and cybersecurity, offering a robust, enterprise-ready digital agreements platform with security at the core. OneSpan Sign places an e …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- study: 86.8%SitemapPartly met
Serve an XML sitemap and reference it from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationPassed
Requests sent with Accept: text/markdown receive a markdown version of the page.
- study: 25.1%llms.txtPassed
An llms.txt that tells language models what the site offers.
- study: 93.4%AI bot rulesPassed
Explicit robots.txt rules for AI crawlers such as GPTBot, ClaudeBot and PerplexityBot.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%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: 0.1%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: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 53 of 100 · 97% of checks could run · checked on October 5, 2026 · www.onespan.com · 2,047 companies scanned
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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- Not metHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- PassedExplicit AI bot rulesstudy: 13.0%
- Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
- Not metOAuth Authorization Server discoverystudy: 10.1%
- Not metOAuth Protected Resource discoverystudy: 9.3%
- Not metMCP Server Cardstudy: 0.0%
- Not metA2A Agent Cardstudy: 0.0%
- Not metWebMCP toolsstudy: 4.2%
- Not metAgent Skills declaredstudy: 0.0%
This website sets rules for 2 AI crawlers by name. All others follow its general rules.
- GPTBot*blocked
- ClaudeBotpartly
- Anthropic-AIpartly
- Google-Extendedpartly
- Applebot-Extendedpartly
- Meta-ExternalAgentpartly
- FacebookBotpartly
- Bytespiderpartly
- CCBotpartly
- Diffbotpartly
- Omgilibotpartly
- OAI-SearchBotpartly
- Claude-SearchBotpartly
- PerplexityBotpartly
- Applebotpartly
- Amazonbotpartly
- YouBotpartly
- ChatGPT-User*allowed
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Top cybersecurity platforms for high-assurance digital agreements in the US
- What are the best e-signature and authentication solutions for large enterprises?
- Are there affordable options for small businesses needing secure e-signatures and identity verification?
- How do e-signature platforms compare to traditional paper-based agreement processes in terms of security?
- Authentication methods for secure digital transaction verification — how do biometric and code-based approaches stack up?
- Alternatives to password-based authentication for securing digital contracts
- How can financial institutions use digital signature platforms to streamline customer onboarding?
- What should I look for when choosing an enterprise-level e-signature and cybersecurity provider?
- Common issues with mobile app authentication in digital agreement platforms and steps to resolve them
- Best practices for securing remote, multi-party digital transactions in regulated industries
- Is investing in a digital agreement solution with built-in authentication worth it for mid-sized businesses?
- What are typical pricing tiers for enterprise e-signature and authentication software in the US?
- What alternatives exist to cloud-based e-signature solutions for businesses with strict compliance needs?
- Which digital signature platforms offer the strongest user and device protection features?
- Why might an e-signature be rejected during a remote agreement, and how can this be fixed?
Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.
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<a href="https://aeo-audit.rezolve.com/us/onespan.com"><img src="https://aeo-audit.rezolve.com/us/badges/onespan.com.svg" alt="Overall score 43 of 100, US AI Visibility Study 2026" width="280" height="64"></a>