- Visibility17
- Citations8
- Sentiment80
- Site quality80
- AI readiness14
AI assistants name Cardlytics in 8.3% of answers, which is less often than the typical company in the media sector. Its overall score is 37 out of 100, ranking 663rd of 2,047 companies. The website passes 2 of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the media market: none named Cardlytics. AI assistants named it in 5 of 60 answers (8.3%). The typical media company is named in 15.0% of answers. By how often it is named, Cardlytics ranks 60 of 99 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.
99 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“What are the most effective card-linked offer platforms for driving measurable sales growth?”
Card-linked offer (CLO) platforms are a powerful tool for businesses looking to drive measurable sales growth by connecting offers directly to consumer payment cards. These platforms eliminate the need for coupons or promo codes, offering a seamless and frictionless experience for customers and robust data and attribution for merchants.
Here are some of the most effective card-linked offer platforms and their key features:
1. Rakuten Card Linked Offer Network (RCLON)
Scale: RCLON boasts significant direct-to-consumer scale, reaching 200 million cardholders through its publishers. …
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 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapNot 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 negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot 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 7 of 100 · 97% of checks could run · checked on October 5, 2026 · www.cardlytics.com · 2,047 companies scanned
2 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
- Not metrobots.txt publishedstudy: 85.0%
- Not metXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.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%
How many times each website was listed as a source in these answers
In the study as US-listed.
- Do card-linked offer platforms usually charge per transaction, per campaign, or have subscription fees?
- What should financial institutions consider before partnering with a card-linked offer solution?
- Card-linked offer networks vs traditional loyalty programs: which is more effective for customer acquisition?
- How does card-linked offer advertising compare to coupon-based digital marketing?
- How can advertisers use purchase data for targeted marketing through card-linked offers?
- How can advertisers use non-card-linked channels to achieve measurable revenue growth?
- Is investing in a card-linked offer platform worth it for mid-sized retailers?
- What are the most effective card-linked offer platforms for driving measurable sales growth?
- How can merchants use purchase intelligence for in-store and online conversion?
- What are some alternatives to card-linked offer advertising for targeting shoppers by purchase behavior?
- Top features to look for in a card-linked commerce media solution for data-driven marketing?
- Best ways publishers can leverage card-linked offers to increase engagement?
- What are common reasons targeted card-linked campaigns fail to deliver incremental lift?
- Typical pricing models for card-linked advertising networks in the US?
- How do you resolve tracking discrepancies in card-linked offer advertising platforms?
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/cardlytics.com"><img src="https://aeo-audit.rezolve.com/us/badges/cardlytics.com.svg" alt="Overall score 37 of 100, US AI Visibility Study 2026" width="280" height="64"></a>