LLMrank

AI visibility report

AI visibility for klarna.com

Overview

AI visibility for

klarna.com

Market: Global (en)

Each model is asked to answer as a buyer in Global, so your visibility reflects your actual market, not a global/US bias.

The company operates a fintech platform that offers digital payment services, including instant checkout, installment financing, and a Visa‑compatible payment card, all managed through a mobile app. It also provides ancillary features such as cash‑back rewards, budgeting tools, savings accounts, and subscription‑based membership benefits. The primary customers are adult consumers in Sweden who shop both online and in physical stores and seek flexible, transparent financing options for everyday purchases. Merchants are another audience, as they integrate the service to enable alternative payment methods at checkout. The business competes in the consumer‑credit and digital‑payments segment, addressing the need for convenient, secure, and managed spending solutions.

The area you and these competitors operate in: paypal.com, curve.com, revolut.com, riverty.com.

0-100. Higher = AI names you more often on neutral buyer questions.

39.3/100

Your AI visibility score

For reference: a strong company in your space scores around 55+, and most land near 38. Few sites are visible everywhere - the checklist below shows your quickest wins.

Share of neutral buyer questions where a model brings you up unprompted.

30.0%

Unprompted mentions in AI answers

Your position among all brands AI named.

#1 / 5

Rank

Share of best-practice (AEO) signals in place for AI visibility.

53.3%

Best practice (AEO)

See the checklist

You rank #1 of 5 on AI mentions (neutral questions)

Where you show up across AI models

Your brand and competitors as rows, AI models as columns. Each cell counts how often they are mentioned.

Ranking is based on neutral buyer questions. We don't count questions that already name you, so it's a fair comparison with competitors.

Your rank is based on how often each brand is named unprompted across the neutral buyer questions. M = the brands compared (you plus your competitors). A model can recognize you and still not name you unprompted, so a 0 here is a visibility gap, not a sign the model does not know you.

Brand	Mentions	anthropic/claude-sonnet-4.6	deepseek/deepseek-v4-pro	google/gemini-2.5-flash	openai/gpt-5.5
Your brand Klarna	3	0	1	1	1
paypal.com AI	3	1	0	1	1
curve.com AI	1	0	0	1	0
revolut.com AI	1	0	0	1	0
riverty.com AI	1	0	0	0	1

Not satisfied? Change competitors

Checklist

Readiness score: 53.3%

Priority actions

Do these first - ranked by expected impact on your AI visibility.

High impact Organization entity (sameAs)
High impact Structured data (JSON-LD)
Medium impact Article schema (JSON-LD)
Medium impact Author (byline/markup)
Medium impact HowTo schema (JSON-LD)
Medium impact Published/updated dates
Lower impact sitemap.xml present

Crawlability and discovery

Can AI crawlers find and read your site at all? These signals tell language models where your content lives and that they are welcome to read it.

✓ llms.txt present
✓ robots.txt present
✗ sitemap.xml present
Publish a sitemap.xml so your content is found.

Structured data and entity

Machine-readable facts about who you are and what you offer. The clearer your structured data, the more accurately AI can understand and describe you instead of guessing.

✗ Structured data (JSON-LD)
Add schema.org JSON-LD (Organization/Product/FAQ).

Organization schema (JSON-LD)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Klarna",
  "url": "https://klarna.com",
  "logo": "https://klarna.com/logo.png",
  "description": "One or two plain sentences describing what Klarna does and who it is for.",
  "sameAs": [
    "https://www.linkedin.com/company/your-company"
  ]
}
</script>

✓ FAQ / questions and answers

✗ Article schema (JSON-LD)
Mark up articles and guides with Article schema (author, publisher, datePublished).

Article schema (JSON-LD)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your article title",
  "author": {
    "@type": "Organization",
    "name": "Klarna"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Klarna",
    "logo": {
      "@type": "ImageObject",
      "url": "https://klarna.com/logo.png"
    }
  },
  "datePublished": "YYYY-MM-DD",
  "dateModified": "YYYY-MM-DD",
  "mainEntityOfPage": "https://klarna.com/your-article",
  "description": "One or two plain sentences summarising the article so a model can quote it."
}
</script>

✗ HowTo schema (JSON-LD)
Add HowTo schema to guides and step-by-step pages.
✗ Organization entity (sameAs)
Add Organization schema with sameAs links to your official profiles.

Page content and headings

The plain, static content AI actually reads. Clear titles, headings and descriptions in the page source mean models read what you do instead of an empty shell.

✓ Canonical URL
✓ Open Graph tags
✓ Meta description
✓ Page title
✓ Clear main heading (H1) in the page source

Authorship and freshness

Who stands behind the content and how current it is. Clear authorship and dates are credibility signals AI weighs when it decides whether to trust and cite you.

✗ Author (byline/markup)
State the author with markup (author in JSON-LD, rel=author or meta name=author).
✗ Published/updated dates
Expose published and updated dates in markup (datePublished/dateModified or <time datetime>).