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

Executive Summary

Adyen remains the category leader in October 2026, holding valid recommendation coverage at 58.1%, up 4.7 points from 53.4% in July 2026. That baseline-to-current movement stays within normal month-to-month variation, but the month-over-month move was sharper: Adyen's coverage rose 10.4 points from September's 47.7%, a significant gain and a second consecutive monthly rise. The leader now sits 22.1 points ahead of second-place Braintree, which recorded 36.0% coverage in October.

Braintree was the largest riser across the full series, climbing 10.7 points from 25.3% in July to 36.0% in October on a three-month upward streak. The brand's top-three recommendation rate rose 16.8 points to 22.4%, and its rank-one placement rate moved from zero to 1.5%.

The sharpest full-series decliner is Stax, which fell 29.6 points from 29.6% in July to 0.0% in October, with the tracked brand effectively giving way to Stax Payments (8.7% coverage in October, up 8.7 points from a 0.0% baseline and a significant riser). Payline Data fell 5.1 points from 6.1% to 1.0% on a three-month downward streak, and Payment Depot declined 4.2 points from 10.9% to 6.7%. Against September, the category was not stable: Adyen posted a significant rise, Payline Data and Payment Depot remain significantly below their July baselines, and the notable-gap analysis shows Braintree and Stax diverging by 40.3 points across the series.

Each monthly run begins with 800 prompt-surface observations across the benchmark's defined AI/search surface universe. In October 2026, those 800 observations covered 606 unique questions; all 800 mentioned a tracked brand or competitor; 623 were relevant and 177 were irrelevant, and the public metrics use the 389 qualified observations that survived both qualification stages. In July 2026, the same 800-prompt collection covered 551 unique questions, with 571 relevant and 229 irrelevant prompts, producing 395 qualified observations. August produced 478 qualified observations and September 417, so the qualified denominator has contracted across the series.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which credit card processing companies had conflicting information across AI platforms?
• Where did AI platforms disagree about gateway, monthly, and processing fees?

The benchmark detected 5 critical or high-severity factual inconsistencies across 5 AI platforms (ChatGPT, Copilot, Gemini, AI Mode, and Perplexity).

NMI

AI platforms provided conflicting information about NMI's per-transaction gateway fee. When asked "How much does NMI payment gateway cost?", ChatGPT stated $0.04 per transaction, citing NMI's own Payment Processing FAQ and an NMI overview document, while Gemini stated a range of $0.10 to $0.25 per transaction, citing a third-party NMI payment gateway review and Capterra's NMI pricing page. The benchmark flagged this as a high-severity pricing conflict at 0.9 confidence, noting that $0.04 sits below the range Gemini presents as the expected per-transaction fee, so the two figures are incompatible.

A second high-severity pricing conflict concerns NMI's monthly gateway fee. To the same question, ChatGPT stated $3 per month per merchant, again citing NMI's own FAQ and overview materials, while Gemini stated $10.00 to $35.00 per month, citing the same third-party review and Capterra pricing page. A flat $3 per month is below the range Gemini gives as the expected monthly gateway fee, so both cannot be the typical NMI monthly cost.

Adyen

AI platforms provided conflicting information about whether Adyen is a bank in the United States. When asked "Is Adyen a bank in the US?", ChatGPT stated that yes, Adyen is a bank in the U.S. in a limited regulatory sense, citing Adyen's United States licenses and disclosures page and Adyen documentation on account statements. Perplexity stated No, Adyen is not a bank in the US, citing a Federal Reserve order approving establishment of a branch, Fortune's coverage of Adyen's Fed banking approval, and Adyen's own press release announcing it was granted a US branch license. The benchmark flagged three sources on the affirming side, including a Fortune article and a Yahoo Finance article both headlined around Adyen receiving Fed banking approval, and Adyen's United States licenses page stating that the San Francisco Branch is a federal branch of Adyen N.V. licensed by the Office of the Comptroller of the Currency.

Payment Depot

AI platforms provided conflicting information about Payment Depot's monthly fee. When asked "Who has the cheapest credit card processing fees?", Gemini stated that Stax (or Payment Depot) monthly fee starts around $99 or more, citing TechnologyAdvice, Business.com, and Clearly Payments, while Copilot stated that Payment Depot's monthly fee is $0, citing Fit Small Business, TechnologyAdvice, and U.S. News. A monthly fee cannot be both around $99 or more and $0; the benchmark assigned this conflict high severity at 0.85 confidence.

Shift4 Payments

AI platforms provided conflicting information about Shift4's 2026 gross revenue less network fees guidance. When asked "What is the future outlook for Shift4?", ChatGPT stated 2026 gross revenue less network fees guidance of $2.48 to $2.53 billion, citing Shift4's SEC filings and a stock analysis forecast page, while AI Mode stated guidance of $2.5 billion to $2.6 billion, citing Simply Wall St, Investing.com, and StocksToTrade. The upper end of the ranges differ, so both cannot be the company's stated 2026 guidance.

Benchmark Context

Questions This Section Answers

• How many qualified observations did the benchmark analyze each month?
• Why did the qualified analysis set shrink while the share of recommendation-shaped answers rose?

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 389 in October, after peaking at 478 in August and easing to 417 in September. The following category-wide metrics shifted alongside it.

The qualified analysis set was smallest in October of the four months, yet the share of answers that shaped recommendations rose to its highest level in the series, and the share carrying valid recommendation shortlists also rose. September carried the lowest recommendation-shaped share at 28.3%, so the October rebound in answer composition occurred against a smaller denominator. Qualified surface breadth held at the full six AI surface families across every month, so the movements reflect changes in answer composition rather than surface coverage.

AI Recommendation Trend

Questions This Section Answers

• Which credit card processing companies gained or lost recommendation coverage between July and October 2026?
• Which brands were the largest significant risers and decliners across the series?

Adyen Leads a Bifurcated Field

The series produced three significant risers (Braintree, Host Merchant Services, and Stax Payments) and three significant decliners (Payline Data, Payment Depot, and Stax), so the category-level change came from a combination of several movements rather than from a single brand's shift. Adyen's baseline-to-current move stayed within normal variation even as its month-over-month move was significant, and Braintree's rise exceeded the normal-variation threshold across the full series.

What Changed This Month

Questions This Section Answers

• What drove Adyen's significant monthly rise and extended lead?
• Why did Stax drop to zero while Stax Payments rose?
• What explains the declines for Payline Data and Payment Depot?

Adyen: A Significant Monthly Rise Extends the Lead

Adyen's valid recommendation coverage moved from 53.4% in July 2026 to 58.1% in October 2026, a 4.7-point rise that stays within normal month-to-month variation across the baseline. The sharper move is month-over-month: coverage rose 10.4 points from 47.7% in September, which is significant, marking a second consecutive monthly increase.

Adyen's raw mention presence rose 8.8 points from 73.4% in July to 82.3% in October, and its top-three recommendation rate climbed 13.3 points to 26.7%. Its rank-one placement rate rose 4.4 points to 5.9%. The brand is appearing in more answers and at higher positions, with September's dip reversed.

Highest-priority diagnostic: whether the top-three gain concentrates in particular prompt families or surfaces that also drive the recommendation coverage rise.

Braintree: The Series' Largest Riser, Now Clear Second

Braintree's valid recommendation coverage rose 10.7 points from 25.3% in July to 36.0% in October, a significant gain and the largest full-series rise in the field, on a three-month upward streak. The month-over-month move from September's 30.0% was 6.0 points, within normal variation.

Raw presence rose 14.0 points from 41.3% to 55.3%, and the top-three rate climbed 16.8 points to 22.4%. Rank-one placement moved from 0.0% to 1.5%. Braintree's presence growth is closely matched by its top-three growth, unlike some peers where presence ran ahead of placement.

Highest-priority diagnostic: which prompt families and surfaces account for the sustained three-month rise, and whether the top-three gain is concentrated in specific question types.

Stax and Stax Payments: An Entity's Tracked Identity Continues to Shift

Stax recorded valid recommendation coverage of 29.6% in July and 18.8% in August before dropping to 0.0% in September 2026 and holding at 0.0% in October 2026, a 29.6-point full-series decline classified as significant. Stax Payments registered 8.7% coverage in October, up 8.7 points from a 0.0% baseline and a significant riser, with a two-month upward streak.

Stax Payments posted 40 raw mentions across 389 observations in October, a 10.3% presence rate, and 34 valid recommendations. Its top-three rate stood at 2.1%. The notable-gap analysis flags Stax and Stax Payments diverging by 38.3 points across the series, indicating the tracked entity's surfaced name shifted rather than the entity disappearing from AI answers.

Highest-priority diagnostic: whether the recommendations previously surfaced under Stax now appear under Stax Payments, or whether the naming change fragmented the entity's recommendation patterns.

Payline Data and Payment Depot: Significant Declines Below July Baselines

Payline Data's coverage fell 5.1 points from 6.1% in July to 1.0% in October, a significant decline on a three-month downward streak. Its raw presence dropped 5.8 points from 6.8% to 1.0%, while net sentiment stands at 1.0. The month-over-month move was 0.2 points down, indicating the decline was already largely in place by September.

Payment Depot declined 4.2 points from 10.9% in July to 6.7% in October, a significant decline, though the month-over-month move from September's 6.0% was a 0.7-point rise. Raw presence fell 4.2 points from 11.7% to 7.5%. Both brands retain positive sentiment and meaningful presence relative to their qualifying recommendation coverage.

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

Authorize.Net and Checkout.com: Middle-Field Divergence

Authorize.Net's coverage declined 4.6 points from 33.4% in July to 28.8% in October, within normal variation, though the month-over-month move from September's 23.5% was a 5.3-point rise. Its top-three rate climbed 3.9 points to 7.5% and rank-one placement rose 1.6 points to 1.8%. Checkout.com rose 4.8 points from 12.7% to 17.5%, within normal variation, with raw presence up 6.7 points to 25.4%.

Authorize.Net retains a gap between its presence (45.2%) and its recommendation coverage (28.8%), indicating the brand is frequently discussed in answers that do not always produce a qualifying recommendation.

Highest-priority diagnostic: whether Authorize.Net's stronger top-three placement is converting to coverage, and why Checkout.com's rising presence is not yet producing a larger coverage gain.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters qualified for the October benchmark?
• What can the benchmark not yet answer about pricing and multi-brand comparisons?

In October 2026, all 389 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 190 recommendation shortlists, 52 ranked lists, and 9 pricing analyses, but those did not map into the qualified buyer-intent clusters for this month. The pricing inconsistencies noted above surface through the inconsistency data rather than through qualified pricing observations.

Brand Opportunity Summary

The following table summarizes the current signal for every tracked brand, paired with the highest-priority diagnostic a company-level audit would resolve.

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 the CiteWorks Studio AI Visibility Industry Market research program.

• AI Visibility Industry Market Index
• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Interpretation Notes

• October 2026 reflects a smaller qualified set (389 observations) than any prior month in the series, so coverage changes between months sit against a contracting denominator.
• The Stax-to-Stax Payments naming transition continues to appear 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 0.3% 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 October 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 Braintree extending a three-month rise, Adyen posting a significant monthly gain, and Payline Data and Payment Depot receding below their July baselines, 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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