- Visibility8
- Citations1
- Sentiment50
- Site quality80
- AI readiness43
AI assistants name NCR in 6.7% of answers, which is less often than the typical company in the technology sector at 10%. NCR has an overall score of 30 out of 100, ranking 1,222nd of 2,047 companies. Its website passes 6 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the technology market: none named NCR. AI assistants named it in 4 of 60 answers (6.7%). The typical technology company is named in 10.0% of answers. By how often it is named, NCR ranks 165 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
“Best integrated point-of-sale solutions for multi-location retail chains”
The best integrated point-of-sale (POS) solutions for multi-location retail chains are typically KORONA POS, Lightspeed Retail, Shopify POS, ConnectPOS, and NCR Voyix Counterpoint, depending on whether your priority is centralized inventory, omnichannel selling, or enterprise-scale control.
For a quick shortlist:
KORONA POS — best overall for multi-location retail chains that prioritize inventory control, reporting, and centralized management across stores.
Lightspeed Retail — best for multi-location specialty retail such as apparel, with st …
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%SitemapPassed
An XML sitemap listing the pages, ideally referenced 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.txtPartly met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- 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 42 of 100 · 97% of checks could run · checked on October 5, 2026 · ncrvoyix.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%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- PassedMarkdown content negotiationstudy: 8.3%
- Passedllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit 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 no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.
- GPTBotallowed
- ClaudeBotallowed
- Anthropic-AIallowed
- Google-Extendedallowed
- Applebot-Extendedallowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBotallowed
- Claude-SearchBotallowed
- PerplexityBotallowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- What role do unified platforms play in managing multi-channel retail sales?
- Do unified commerce solutions improve customer retention for retailers?
- How can unified commerce systems support curbside pickup and delivery for restaurants?
- Integrated loyalty management vs third-party add-on: which works better for restaurants?
- Best integrated point-of-sale solutions for multi-location retail chains
- Unified commerce platform vs separate POS and payment systems—what are the pros and cons?
- Alternatives to unified commerce platforms for restaurant operators
- Typical monthly costs of unified commerce platforms for small businesses
- What are some non-integrated options for managing POS, payments, and loyalty in retail?
- Common issues when integrating inventory management with a unified commerce system
- What are the top unified commerce platforms for mid-sized restaurants looking to streamline operations?
- Is investing in a unified commerce platform worth it for a small restaurant chain?
- Why might a unified commerce platform fail to sync real-time sales data across locations?
- What factors affect pricing for integrated POS and payment solutions in the United States?
- Cloud-based unified commerce vs on-premises systems for retail businesses
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.
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/ncrvoyix.com"><img src="https://aeo-audit.rezolve.com/us/badges/ncrvoyix.com.svg" alt="Overall score 30 of 100, US AI Visibility Study 2026" width="280" height="64"></a>