How AI Search Is Recommending Money Transfer Fintech: Monthly Trends

Executive Summary

BookMyForex is the current benchmark leader in valid recommendation coverage at 50.4%, narrowly ahead of Wise at 47.3%. Both brands' month-to-month movement (BookMyForex up 0.1 points, Wise down 5.5 points) falls within the category's normal range of variation, so the current 3.1-point gap between them reflects ordinary month-to-month behavior rather than a decisive shift. In July 2026, Wise held a 2.5-point edge over BookMyForex; in August 2026, BookMyForex holds a 3.1-point edge over Wise.

Revolut is the one brand whose movement exceeds the category's normal range this period, with valid recommendation coverage falling from 19.4% in July 2026 to 14.3% in August 2026. Its raw mention presence also moved from 43.4% to 36.7% over the same period.

Across the two-month series, the spread between several brands has been narrowing. The gap between ExTravelMoney and Wise narrowed by 8.6 points (from a 43.2-point gap to a 34.6-point gap), the gap between ExTravelMoney and Revolut narrowed by 8.2 points (from 9.8 points to 1.6 points), and the gap between Niyo and Wise narrowed by 7.7 points (from 13.7 points to 6.0 points). All other tracked brands — BookMyForex, ExTravelMoney, Instarem, Niyo, moneyHOP, and Wise — are classified as stable this period.

Each monthly run begins with 800 prompt-surface observations (585 unique questions in July 2026; 635 unique questions in August 2026) across the benchmark's defined AI/search surface universe. Of those, all 800 mentioned a tracked brand or competitor in both months; 605 were relevant and 195 irrelevant in July 2026, while 663 were relevant and 137 irrelevant in August 2026. The public metrics use 509 qualified observations in July 2026 and 567 in August 2026 that survive 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, not the raw prompt-collection total.

The qualified observation count grew from 509 to 567 between the two months, and the underlying platform set and company roster stayed consistent, which is what allows the brand-level comparisons in this report.

Benchmark-Level Metrics

AI Recommendation Trend

The category's seven tracked brands are ranked below by valid recommendation coverage, the benchmark's primary comparison metric across both months.

Coverage Standings by Brand

Only Revolut's movement exceeds the category's normal range of month-to-month variation. BookMyForex's move into first place reflects its own coverage holding essentially flat while Wise's coverage moved down within ordinary fluctuation, rather than a single dramatic move by either brand.

What Changed This Month

BookMyForex Holds the Current Lead

BookMyForex's valid recommendation coverage moved from 50.3% in July 2026 to 50.4% in August 2026 — a change within the category's normal month-to-month variation. It is the current benchmark leader.

Its supporting metrics moved modestly higher. Rank-one recommendation rate moved from 17.3% to 19.1%, the highest rank-one rate in the category. Top-three rate moved from 37.1% to 37.9%. Raw mention presence moved from 78.4% to 79.2%.

BookMyForex has now held the category's highest rank-one rate in both July and August 2026, a pattern that predates its move into the overall coverage lead.

Highest-priority diagnostic: Which prompt types are driving BookMyForex's rank-one recommendations, and on which AI surfaces does it hold that position most consistently?

ExTravelMoney's Gains Sit Within Normal Range, but Its Gaps to Rivals Are Narrowing

ExTravelMoney's valid recommendation coverage moved from 9.6% in July 2026 to 12.7% in August 2026, a change that falls within the category's normal month-to-month variation. Its top-three rate moved from 6.1% to 9.5%, and its valid recommendation count grew from 49 to 72 observations.

Raw mention presence declined slightly, from 24.6% to 23.6%, meaning the coverage change came from stronger placement within existing mentions rather than from broader presence. Rank-one rate moved from 0.4% to 0.7%.

Viewed across the two-month series, ExTravelMoney's gap to Wise narrowed by 8.6 points and its gap to Revolut narrowed by 8.2 points — the two largest narrowing spreads recorded in this benchmark.

Highest-priority diagnostic: Which prompts show ExTravelMoney in stronger positions when it is mentioned, and which competitor's placement pattern does that positioning most resemble?

Revolut Is the Period's One Notable Decliner

Revolut's valid recommendation coverage fell from 19.4% in July 2026 to 14.3% in August 2026 — the only brand-level movement this period that exceeds the category's normal range of variation. Valid recommendation count dropped from 99 to 81 observations. Raw mention presence fell from 43.4% to 36.7%.

Its top-three rate fell from 13.4% to 10.4%, and its rank-one rate fell from 2.2% to 1.2%. Net sentiment remained stable at 0.5, which suggests the movement is concentrated in presence and recommendation frequency rather than in tone.

Highest-priority diagnostic: Which prompts and AI surfaces account for the drop in Revolut's presence, and which brands appear in the recommendations Revolut no longer holds?

Wise Remains the Most-Mentioned Brand Despite a Within-Range Move

Wise's valid recommendation coverage moved from 52.8% in July 2026 to 47.3% in August 2026. This change does not exceed the category's normal range of month-to-month variation, though it is the largest single-month move recorded by any brand this period.

Raw mention presence moved from 87.6% to 83.6% — still the highest raw presence rate in the category. Top-three rate moved from 40.5% to 39.0%, and rank-one rate moved from 26.3% to 24.5%. Net sentiment stayed stable at 0.7.

Highest-priority diagnostic: On which prompts and surfaces does Wise's placement hold steadiest, and where does its rank-one rate remain strongest?

Buyer-Intent Interpretation

In both July and August 2026, all 509 and 567 qualified observations respectively fell into the Brand Recommendation cluster. The Pricing & Value and Multi-Brand Comparison clusters captured zero observations in both months. The public benchmark can currently answer which provider AI recommends, but it cannot yet speak to how AI evaluates price, value, or head-to-head comparisons between providers.

Brand Opportunity Summary

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

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. Presence in a benchmark response is not automatically treated as proof of causation.

Report-Specific Interpretation Notes

• Small-count movement: Brands such as Instarem and moneyHOP operate on small absolute observation counts. Their percentage movements should be interpreted with that context in mind.
• Qualified denominator vs raw collection: All coverage percentages are calculated within the qualified benchmark set (509 observations in July 2026; 567 in August 2026), not the raw collection universe of 800 prompts.
• Normal variation vs notable movement: Most month-to-month changes in this benchmark fall within a range the methodology treats as ordinary variation. Only Revolut's move this period exceeds that range; this identifies where to look, not why the underlying pattern occurred.

About This Benchmark

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

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

Next Step

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

The aggregate percentages sit above a set of more specific questions. Which high-intent prompts are won consistently, and which are lost? When a brand loses a recommendation, which competitor takes it? What attributes do AI responses associate with each option, and which external sources shape those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It can explain whether a brand's coverage movements come from placement changes, presence shifts, sentiment dynamics, or something in the underlying evidence.

Request an AI visibility audit