How AI Search Is Recommending Credit Card Processing Companies: Monthly Trends

Executive Summary

Adyen remains the category leader in September 2026, holding valid recommendation coverage at 47.7%, essentially flat from 46.9% in August and down 5.7 points from 53.4% in July. That baseline-to-current movement stays within normal month-to-month variation, keeping the leader classified as stable. The competitive story this month is the widening gap between the top two: Adyen now leads second-place Braintree by 17.7 points, with Braintree at 30.0% coverage, up from 26.6% in August.

Stax Payments was the clearest riser of the month, registering valid recommendation coverage of 7.7% in September after appearing only under the Stax name in prior months, a significant gain. That rise accompanies the disappearance of Stax as a tracked brand, which recorded 29.6% coverage in July and 18.8% in August before dropping to 0.0% in September. Stax Payments and Stax together represent a single entity whose naming shifted in the tracked data, and the gap analysis flags a widening divergence between how the two names are surfaced.

The sharpest decliners in the September series are Authorize.Net, down 9.9 points from 33.4% in July to 23.5%; Merchant One, down 2.3 points from 2.8% to 0.5%; Payline Data, down 4.9 points from 6.1% to 1.2%; and Payment Depot, down 4.9 points from 10.9% to 6.0%. The category is best described as mixed: one significant riser in Stax Payments, and a cluster of significant decliners reshaping the middle of the field while the leader holds steady.

Each monthly benchmark begins with 800 prompt-surface observations across the tracked AI/search surfaces (602 unique questions in September 2026, matching the 602 unique questions in August, up from 551 in July). All 800 observations in each month mentioned a tracked brand or competitor; 657 were relevant and 143 were irrelevant in September, compared with 669 relevant and 131 irrelevant in August. The public metrics are calculated on the 417 qualified observations in September, down from 478 in August and up from 395 in July, that survived both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Benchmark-Level Metrics

The qualified benchmark moved from 395 observations in July to 417 in September, peaking at 478 in August. The following category-wide metrics shifted alongside it.

The August peak of 478 qualified observations gave way to a smaller September analysis set, while the share of answers that shaped recommendations or carried valid recommendation shortlists declined from July levels. Qualified surface breadth held at the full six AI surface families across all three months, so the movements reflect changes in answer composition rather than surface coverage.

AI Recommendation Trend

Valid Recommendation Coverage by Brand

The leadership position is stable even as the structure beneath it shifted: the top two brands now sit 17.7 points apart, and the disappearance of the Stax name in favor of Stax Payments creates a notable gap in how one entity is tracked and surfaced. The category-level movement came from several distinct forces: one significant riser in Stax Payments, five significant decliners in Authorize.Net, Merchant One, Payline Data, Payment Depot, and Stax, and a stable leader whose position did not exceed normal month-to-month variation. The Stax-to-Stax Payments transition dominates the notable-gap analysis, with the two names recording a 37.3-point widening in relative positioning across the three months.

What Changed This Month

Adyen: Leader Stable, But the Gap to Second Place Widens

Adyen's valid recommendation coverage moved from 53.4% in July 2026 to 47.7% in September 2026, a 5.7-point decline that stays within normal month-to-month variation and keeps the brand classified as stable. From August to September, coverage rose 0.8 points from 46.9%, indicating the leader's slide arrested rather than continued.

Adyen's raw mention presence rose 7.4 points from 73.4% in July to 80.8% in September, a substantial gain, and its top-3 recommendation rate climbed 8.7 points to 22.1%. The brand is appearing in more answers and at higher positions even as its overall recommendation coverage sits below July levels.

Highest-priority diagnostic: which prompt types shifted Adyen from recommended into mentioned-but-not-shortlisted even as its top-3 position strengthened.

Stax to Stax Payments: A Naming Transition Reshapes the Field

The most significant movement in the tracked series is the disappearance of Stax and the appearance of Stax Payments. Stax recorded valid recommendation coverage of 29.6% in July and 18.8% in August before dropping to 0.0% in September, while Stax Payments registered 7.7% coverage in September, up 7.7 points from a 0.0% baseline. The notable gap analysis flags a 37.3-point widening between the two names, indicating the tracked entity shifted its surfaced name rather than vanishing from AI answers.

In September, Stax Payments posted 43 raw mentions across 417 observations, a 10.3% presence rate, and 32 valid recommendations from a coverage rate of 7.7%. Stax Payments' 1.7% top-three rate shows some high placements already among its recommendations.

Highest-priority diagnostic: whether the AI systems that previously recommended Stax now recommend Stax Payments, or whether the name change disrupted the entity's recommendation patterns.

Authorize.Net: Significant Decline Across the Baseline

Authorize.Net's valid recommendation coverage fell 9.9 points from 33.4% in July to 23.5% in September, a significant decline, with the largest single-month drop of 8.7 points occurring in August. From August to September, the brand slipped a further 1.2 points, part of a two-month decline streak.

Raw mention presence fell 5.3 points from 51.1% to 45.8% across the period, a movement within normal variation, while the brand's top-3 rate slipped 0.9 points to 2.6%. Authorize.Net retains a meaningful gap between its presence (45.8%) and its recommendation coverage (23.5%), indicating the brand is frequently discussed in answers that do not always produce a qualifying recommendation.

Highest-priority diagnostic: which competitors captured the displaced recommendations and whether the decline concentrated in specific prompt families or surfaces.

Payment Depot, Payline Data, and Merchant One: Smaller Significant Declines

Payment Depot's coverage fell 4.9 points from 10.9% in July to 6.0% in September, a significant decline with a two-month downward streak. Payline Data fell 4.9 points from 6.1% to 1.2%, also significant, with raw presence dropping 5.1 points from 6.8% to 1.7%. Merchant One declined 2.3 points from 2.8% to 0.5% coverage, significant on a small base of 2 valid recommendations in September.

All three brands retained positive sentiment, with Payment Depot at 1.0 and Payline Data at 1.0 net sentiment in September. The movements reflect fewer qualifying recommendations rather than negative portrayal, and each brand now sits well below its July presence levels.

Highest-priority diagnostic: whether these declines share a common surface or prompt family, or whether each brand lost ground through distinct mechanisms.

Braintree: Rising Into a Clear Second Position

Braintree's valid recommendation coverage rose 4.7 points from 25.3% in July to 30.0% in September, with a two-month upward streak. Raw presence rose 14.3 points from 41.3% to 55.6%, a substantial gain, and the brand's top-3 rate climbed 7.8 points to 13.4%.

Braintree's presence now exceeds Authorize.Net's by 9.8 points, and its coverage of 30.0% is 6.5 points ahead of Authorize.Net. The gap analysis flags Braintree's positioning against Stax: Braintree trailed Stax by 4.3 points in July and now leads Stax by 30.0 points, a 34.3-point swing driven primarily by the Stax naming transition.

Highest-priority diagnostic: which evidence sources are driving Braintree's rise in top-3 placement, given its presence growth exceeded its coverage growth.

Checkout.com, Payoneer, and Elavon: Mixed Middle-Field Movement

Checkout.com held exactly flat at 12.7% coverage from July to September, with raw presence rising 6.0 points from 18.7% to 24.7%, a substantial gain that did not translate into higher shortlist coverage. Payoneer rose 1.0 points from 3.3% to 4.3% coverage with a one-month upward streak. Elavon declined 3.0 points from 6.8% to 3.8%, a decline that remained within normal month-to-month variation despite a two-month downward streak.

Checkout.com's pattern mirrors Adyen's: both brands show rising presence this period without a matching rise in valid recommendation coverage.

Highest-priority diagnostic: whether rising presence without rising coverage reflects changes in how AI systems structure qualifying shortlists across the category.

Buyer-Intent Interpretation

In September 2026, all 417 qualified observations fell into the Brand Recommendation cluster, with no observations qualifying for Pricing & Value or Multi-Brand Comparison. The public benchmark therefore measures which providers AI recommends for direct requests, but it cannot yet answer price sensitivity, value positioning, or head-to-head differentiation questions in this category. The response type distribution shows 62 comparison analyses and 9 pricing analyses, but those did not map into the qualified buyer-intent clusters for this month.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why those patterns hold.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of CiteWorks Studio's AI Industry Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• September 2026 reflects a smaller qualified set (417 observations) than August (478), so changes in coverage between those months sit against a shrinking denominator.
• The Stax-to-Stax Payments naming transition appears as two tracked brands; movements for both names should be read as one entity's changing surfaced identity, not as two independent competitors.
• The qualified denominator excludes prompts that were not relevant or were reserved, so percentages reflect the analysis set rather than the full 800-prompt collection.
• Movements identify directional changes worth investigating; they do not establish cause.
• Categories with minimal coverage, such as brands at 0.2% to 0.5% coverage, represent one or two observations and should be read as presence signals rather than stable rankings.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit the questions that explain the September movements: which high-intent prompts each provider wins or loses, which competitor takes the recommendation when a brand drops out of a shortlist, what attributes AI systems associate with each option, and which external sources shape those answers. The benchmark shows Authorize.Net, Payment Depot, and Payline Data lost significant ground, and Stax's recommendation presence shifted to the Stax Payments name, but it does not reveal whether the cause was a source-level shift, a prompt-category change, or a competitor narrative gaining weight.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Where the benchmark identifies the movement, the audit identifies the mechanism.

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