BNPL AI Visibility Index 2026

Affirm and Klarna lead the measured BNPL and consumer credit results, but their difference falls within this sample's margin. Affirm appeared in 69.8% of 288 returned answers, with a 95% interval of 64.3% to 74.8%. Klarna appeared in 68.4%, with an interval of 62.8% to 73.5%.

The source record points elsewhere. CNBC appeared as a cited source in 53.1% of the 288 answers with retrieval evidence, ahead of Forbes at 49.7% and Credit Karma at 34.0%. For brands seeking visibility in AI answers, independent publisher coverage is part of the measured citation path. This BNPL & Consumer Credit report is one segment of the Fintech AI Visibility Index 2026. It does not cover Payments & Processors, Trading & Investing Platforms, or B2B Fintech Infrastructure.

Which BNPL brands lead the leaderboard?

Affirm ranks first at 69.8% appearance, followed by Klarna at 68.4%, Sezzle at 60.8%, PayPal, Inc. at 59.7%, Zip at 55.9%, and Afterpay at 54.5%. Appearance rates use 288 returned answers. The first six brands were named across all four engines, while the lower end includes brands that were absent from one or more engines.

Affirm and Klarna share the top tier. Sezzle, PayPal, Inc., Zip, and Afterpay follow, but their placement should be read with the intervals shown in the generated leaderboard rather than as a claim of decisive separation.

Appearance rate is the share of the 288 returned AI answers in which each brand was named.

Affirm's 95% interval overlaps Klarna, Sezzle, PayPal, Inc., and Zip. The data does not establish that Affirm is more visible than any of those brands within this sample. Klarna's interval also overlaps Sezzle, PayPal, Inc., Zip, and Afterpay. Sezzle's interval overlaps PayPal, Inc., Zip, and Afterpay. These are measured prompts on September 14, 2026, not a measure of all consumer searches or consumer demand.

Leaders and contenders

Absentees in the measured set

Several measured brands had low appearance rates or were absent from individual engines. Upgrade and Bread each appeared in 7.3% of returned answers. WPR appeared in 6.9% but has no owned domain in the measurement and is excluded from citation analysis. Uplift appeared in 3.8%, while Plan It by American Express and Capital One each appeared in 3.1%.

Where do the engines disagree?

The engines disagree sharply for several brands. Each engine returned 72 answers, so the appearance rates use equal engine-level answer totals. Perplexity and ChatGPT named the leading standalone BNPL brands much more often than Gemini and Claude did.

Each cell uses that engine's own answer count as its denominator, so engines can be compared row by row.

Perplexity named Affirm and Klarna in 95.8% of its answers. ChatGPT named them in 93.1% and 90.3%. Claude named Affirm in 31.9% and Klarna in 34.7%. Claude's gaps are wider for Zip at 5.6%, Sezzle at 15.3%, and Splitit Ltd. at 0.0%, although Perplexity named those brands in 93.1%, 90.3%, and 68.1% of its answers.

Shop Pay Installments, Perpay, Cash App, Sunbit, and Uplift show a Perplexity-heavy pattern. Perplexity named Shop Pay Installments in 56.9% of its 72 answers, versus 1.4% for Claude. Cash App appeared in 41.7% of Perplexity answers and 0.0% of Claude answers. Uplift appeared in 12.5% of Perplexity answers and 0.0% of Claude answers.

ChatGPT provides separate spikes for Apple Inc. at 22.2%, Chase at 15.3%, Citi at 15.3%, Synchrony Financial at 15.3%, and Plan It by American Express at 12.5%. Claude named none of Apple Inc., Synchrony Financial, Upgrade, Bread, Block, Inc., or Plan It by American Express in its 72 answers. A gap can reflect model and retrieval-tool design, not a stable category-wide visibility difference.

Which demand clusters favor each brand?

The cluster results identify which brands lead within the measured question groups. The chart separates general buyer-intent questions from sub-category and specific-need questions, so the groups should not be treated as one type of demand.

The same answers regrouped by the demand cluster each prompt was sampled for; cluster rates use that cluster's own answer count.

Read the general buyer-intent group as a test of broad category recall within the measured prompts. Read the sub-category and specific-need group as a test of whether a brand appears when the question narrows. The cluster chart provides the measured leaders for each group and shows whether a brand's strength is broad, specific, or both.

Which sites supply the citations?

Third-party publishers appeared more often than most brand-owned domains in the retrieved answers. Citation rates use 288 answers with retrieval evidence, not the appearance denominator. Shopify Inc. had the highest owned-domain citation rate among eligible measured brands at 30.9%, while its appearance rate was 6.6%.

Share of the 288 answers with retrieval evidence that cited a URL on the brand's own website.

PayPal, Inc. recorded a 16.3% owned-domain citation rate, followed by Affirm at 12.5%, Klarna at 10.4%, Splitit Ltd. at 9.4%, Apple Inc. at 8.3%, and Afterpay at 8.0%. Shop Pay Installments, Perpay, Bread, Block, Inc., and Uplift recorded 0.0% owned-domain citation rates. Appearance and citation do not move together in this tally.

Publisher sources in retrieved answers

Publishers cited as evidence, counted once per answer rather than once per link.

CNBC was cited in 153 answers, or 53.1% of answers with retrieval evidence. Forbes appeared in 143 answers, or 49.7%. Credit Karma appeared in 98 answers, or 34.0%. Shopify appeared in 85 answers, or 29.5%, and The Retail Exec appeared in 82 answers, or 28.5%. The source list includes 14 publisher receipts that could not be resolved to a publisher domain.

Who is winning and who is at risk?

Winning group

Affirm and Klarna are in the winning group because they hold the top two appearance rates, 69.8% and 68.4%, and each appeared across all four engines. Both had an average first mention of position 3.2. Their intervals overlap, so the data does not establish a winner between them.

PayPal, Inc. is also in the winning group for its 16.3% owned-domain citation rate, its 59.7% appearance rate, and its 3.5 average first mention position. Sezzle qualifies on its 60.8% appearance rate across all four engines, although its 6.0 average first mention position is later than the leaders.

At-risk group

Shop Pay Installments is at risk in this sample because it appeared in 23.3% of returned answers and had a 0.0% owned-domain citation rate. Its rate varied from 56.9% in Perplexity to 1.4% in Claude.

Perpay is at risk because it appeared in 16.0% of returned answers, its average first mention was position 9.3, and its owned-domain citation rate was 0.0%. Cash App appeared in 13.2%, had a 0.3% owned-domain citation rate, and did not appear in any Claude answer. Upgrade appeared in 7.3%, had 0.0% repeat consistency, and did not appear in ChatGPT or Claude answers.

What does the tally say about this category?

The tally has a concentrated leading group, but it does not support a firm first-place claim among the top five. Affirm's 64.3% to 74.8% interval overlaps Klarna's 62.8% to 73.5%, Sezzle's 55.0% to 66.2%, PayPal, Inc.'s 54.0% to 65.2%, and Zip's 50.1% to 61.5%.

Engine divergence is the dominant structural pattern. Perplexity and ChatGPT placed Affirm, Klarna, Sezzle, Zip, and Afterpay in high shares of their 72 answers. Claude named Zip in 5.6%, Splitit Ltd. in 0.0%, Cash App in 0.0%, and several lower-ranked brands in 0.0%.

Citations are also publisher-led. CNBC, Forbes, and Credit Karma each appeared as cited sources in more answers than any eligible brand's owned-domain citation count. Shopify Inc. is a notable exception: its 30.9% owned-domain citation rate is the highest recorded, despite a 6.6% appearance rate. This pattern separates brand naming from source citation.

What changed during this measurement window?

This study contains one measurement window, so it cannot identify changes over time. It records cross-engine divergence, publisher concentration, and ownership attribution within the measured runs, not category movement between dates.

What should BNPL brands change and re-measure?

• Build cited pages for product facts and terms where owned-domain citation is 0.0%, as measured for Shop Pay Installments, Perpay, Bread, Block, Inc., and Uplift. Re-measure owned-domain citation rates across answers with retrieval evidence.
• Audit Claude-specific coverage for Zip, Splitit Ltd., Cash App, Upgrade, and Plan It by American Express. Claude named Zip in 5.6%, Splitit Ltd. in 0.0%, Cash App in 0.0%, Upgrade in 0.0%, and Plan It by American Express in 0.0% of its 72 answers. Re-measure each engine separately after publishing clarifying pages.
• Improve pages that state the exact product and company relationship when ownership names split the tally. The measurement rolled up names such as PayPal Pay in 4 under PayPal, Inc. and Cash App Afterpay under Cash App. Re-measure whether the canonical brand name appears earlier in answers.
• Test content built for narrow needs when a brand appears late. Perpay's average first mention was position 9.3, Upgrade's was 9.7, and Uplift's was 9.9. Re-measure average first mention position within the same prompt clusters.
• Compare external publisher coverage with owned pages when source citations outweigh brand citations. CNBC appeared in 53.1% of retrieved answers and Forbes in 49.7%. Re-measure the source mix after securing accurate, durable publisher references.
• Check repeat consistency before treating one favorable answer as a stable result. Upgrade had 0.0% repeat consistency, while Affirm had 64.2% and Sezzle had 66.7%. Re-measure each prompt across repeat trials.

What does this mean for brands in the category?

Interpretation: a high appearance rate does not guarantee that a brand's own site supplies the evidence. Affirm and Klarna lead broad appearance, while Shopify Inc. leads owned-domain citation. The two measures answer different questions.

Interpretation: engine-specific gaps require separate tracking. A brand can be common in Perplexity or ChatGPT and scarce in Claude within the same measured prompt set. Category teams need to inspect the individual engine pattern before changing content or making a selection decision about where to invest.

How was this BNPL visibility measured?

This flagship study tested 24 stratified prompts three times across Perplexity (sonar-pro), ChatGPT (OpenAI), Gemini (Google), and Claude (Anthropic). That produced 288 attempted and 288 returned answers. All 288 answers had retrieval evidence.

How this study was measured

• Sampling frame fixed first: 24 prompts allocated across the demand clusters before anything was asked.
• Same questions put to every engine: Perplexity (sonar-pro), ChatGPT (OpenAI), Gemini (Google), Claude (Anthropic), 3 trial(s) each.
• 288 answers returned of 288 attempted, 288 with retrieval evidence.
• Product lines rolled up to parent brands using a registry fixed before scoring.
• Appearance rate reported with a 95% Wilson interval; citation metrics counted only on answers with evidence.

Appearance rates use returned answers. Citation and source rates use answers with retrieval evidence. The study measures these prompts on September 14, 2026. It does not measure all searches, consumer demand, business performance, or movement over time.

Charts and data tables

These are not brands in the category, so they are measured the same way but kept out of the brand leaderboard.

Methodology appendix

This appendix is generated directly from the measurement record for this study. It is included so any brand named here can reproduce or challenge the result.

What was measured

• Category: BNPL & Consumer Credit
• Measurement date: 2026-09-14
• Depth: flagship — 24 prompts, 3 trial(s) per prompt per engine, 4 engines
• Answers attempted: 288
• Answers returned (appearance denominator): 288
• Answers with retrieval evidence (citation denominator): 288 (100% of attempted)
• Answers that failed outright: 0
• Analysis version: study-methodology-v2 · entity registry: entity-registry-2026-08-27

Claim limit: Flagship depth: 24 stratified prompts measured three times per engine, so both between-prompt and repeat-generation variation are observable.

How the prompts were sampled

Fixed sampling frame: 3 buyer-intent need(s) from the client's brief are asked verbatim, one prompt each, grouped under: BNPL & Consumer Credit; then , then a documented set of generic commercial demand clusters (general best, everyday mainstream choice, price/value, primary use case, beginner, retail channel, gifting/occasion, specific need, comparison, trust, ownership attribution, quality tier, durability, specialist, emerging) receives the remaining allocation round-robin. The prompt writer supplies wording inside these cells only and does not choose the category's demand structure.

Results are not strictly comparable across engines: each engine uses a different model, a different retrieval tool and a different answer format, so a gap between two engines can reflect system design as much as brand visibility.

How each metric is defined

• Appearance rate — the share of returned answers that named the brand. Measured on every answer the engine returned, whether or not it searched the web, so an engine's retrieval behaviour does not silently change the denominator.
• Macro appearance rate — the mean of the per-prompt appearance rates, so each prompt counts once regardless of how many engines answered it.
• 95% interval — Wilson score interval on the appearance rate. Where two brands' intervals overlap, this study does not support a claim that one is more visible than the other.
• Owned-domain citation rate — the share of answers with retrieval evidence that cited a URL on the brand's own domain. This is a narrow measure of the brand's own site being used as a source; it is not a measure of total mentions.
• Share of all citations — the brand's own domain as a share of all attributed publisher citations in the study.
• Not measured — the brand's official domain could not be established, so no citation result exists. This is never reported as 0%.
• 0% — the metric could be evaluated and the event did not occur.
• Average position — mean position of the brand's first mention in the answer's ordered list of named brands.
• Cross-engine consistency — the share of engines that named the brand at least once.
• Repeat consistency — the share of repeated prompt/engine cells where the brand appeared in every trial. Lower values mean the engine's answer is unstable rather than the brand being absent.

Evidence rules

• An answer counts as having retrieval evidence only when the engine returned a retrieval receipt (search annotations or grounding records). A URL the model merely typed into its prose is not treated as evidence that it searched.
• Sources are attributed to the publisher behind each retrieval receipt. Intermediary and redirect hosts are never reported as publishers.
• Publisher identity could not be established for 14 retrieval receipt(s); those are disclosed here rather than attributed or dropped.
• Source counts are answer-level: a publisher counts once per answer in which it was cited, not once per URL.

Entity handling

Product lines and model names roll up to their parent brand for brand-level metrics, using a registry fixed before scoring. Nothing is merged on the basis of this study's own counts alone.

No roll-ups were applied in this study.

40 further name(s) picked up in the answers were not confidently resolvable to a brand in this category and are held for human classification before the next study; they carry no metrics here.

Limits of these findings

• This is a point-in-time measurement of what the named systems returned for these exact prompts on 2026-09-14. Engine behaviour changes without notice.
• The prompt set is a stratified sample of category demand, not a census. Results describe these prompts and should not be read as representative of all searches in the category.
• Where intervals overlap, differences between brands are not statistically distinguishable at this sample size.
• A brand not listed here was not measured as absent — it simply was not named in these answers.
• Appearance is a visibility measure, not an endorsement, a quality judgement or a market-share estimate.
• 2 of 25 ranked brand(s) had no official domain established before scoring, so they carry appearance results only and are excluded from citation metrics and source tables rather than being reported as zero.