How AI Search Is Recommending Expense Management Software: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
14 minutes read

Key Takeaways

  • Ramp widened its lead in valid recommendation coverage, reaching 72.3% in October 2026.
  • Brex recovered to second place, but its rank-one rate remained below July levels.
  • Rydoo and Zoho Inventory were the only significant decliners across the full series.
  • The report found major factual inconsistencies around Brex ownership, Ramp eligibility, BILL pricing, and Navan’s relationship to SAP Concur.

Executive Summary

Ramp remains the category leader by valid recommendation coverage in October 2026, and the leader's position strengthened. Ramp's coverage sits at 72.3%, up 3.4 points from 68.9% in July 2026 and up 11.4 points from September 2026, a prior-to-current move the benchmark classifies as significant. No other tracked brand reached the leader's level, and Ramp recorded the largest baseline-to-current gain in raw mention presence among tracked brands, rising 4.6 points to 92.1% from July 2026.

Brex recorded the strongest supporting recovery among the larger brands, holding second place with 55.9% valid recommendation coverage, down 0.8 points from July 2026 but up 7.0 points from September 2026, a prior-to-current move the benchmark classifies as significant. Expensify and SAP Concur remained clustered in third and fourth, while Navan, BILL Spend & Expense, Emburse, Airbase, Rydoo, and Zoho Inventory held the lower positions.

Two brands are classified as significant decliners across the July-to-October series: Rydoo, down 3.8 points to 1.7% coverage, and Zoho Inventory, down 7.2 points to 0.0%. No brand is classified as a significant riser across the full baseline-to-current series. The category-level result therefore reflects a leader pulling clear while several smaller brands continue to lose what presence they had.

Each monthly run begins with 800 prompt-surface observations (569 unique questions) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor; 730 were relevant and 70 were irrelevant. In July 2026 the equivalent funnel began with 800 prompt-surface observations (487 unique questions), of which 702 were relevant and 98 irrelevant. The public metrics use the 469 observations in October 2026 that survive both qualification stages, against 473 in July 2026.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%20%40%60%80%Jul 2026Aug 2026Sep 2026Oct 2026
  • Ramp72.3%
  • Brex55.9%
  • SAP Concur44.4%
  • Expensify42.9%
  • Navan27.5%
  • BILL Spend & Expense23.9%
  • Emburse7.7%
  • Airbase7.2%
  • Rydoo1.7%
  • **Zoho Expense0.0%
  • Zoho Inventory0.0%

Key Findings

Signal

October 2026 finding

Category leader

Ramp leads with 72.3% valid recommendation coverage, up 3.4 points from July 2026

Largest riser (prior to current)

Ramp rose 11.4 points from September 2026, the largest single-month gain

Largest decliner (baseline)

Zoho Inventory fell 7.2 points to 0.0% coverage from July 2026

Significant decliners (baseline)

Rydoo (down 3.8 points), Zoho Inventory (down 7.2 points)

Leader gap

Ramp leads Brex by 16.4 points, widening from the 12.2-point gap in July 2026

Qualified breadth

All six AI surface families (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode) had qualified observations

AI Response Inconsistency Alerts

Questions This Section Answers

  • Which expense management software facts did AI platforms disagree on?
  • Where did platforms conflict about Brex's ownership and Ramp's eligibility requirements?

Eight critical or high-severity factual inconsistencies were detected across five AI platforms: Copilot, Gemini, AI Mode, AI Overviews, and Perplexity. The conflicts span four companies and center on ownership status, eligibility requirements, and pricing.

Brex

Three critical inconsistencies concern whether Brex is an independent company or a subsidiary of Capital One. When asked "Are Brex and Ramp the same company?", AI Mode stated that "Brex is an independent company and a completely independent competitor to Ramp," citing the companies' own comparison pages, while Perplexity stated that Brex "was acquired by Capital One in 2026 and is restructuring under Capital One's ownership," referencing NerdWallet and a Ramp comparison page. A flagged source on Brex's own site reads "As Brex joins forces with Capital One, it will still operate independently."

When asked "Who are Brex's main competitors?", Copilot stated that Brex "was acquired by Capital One in 2026 for $5.15B," citing G2, a Ramp alternatives page, and an ITILite blog. Gemini described Brex as "an independent company" with no mention of an acquisition, citing an Airwallex alternatives page and a Kleer Card blog. A flagged source on the Airwallex page reads "Capital One's announced acquisition of Brex for $5.15 billion in early 2026."

When asked "Who are Brex's biggest competitors?", Copilot again stated that Brex "was acquired by Capital One in April 2026 for $5.15B," while Gemini again presented Brex as "an independent company competing in the market." Flagged sources on both sides reference the same April 2026 closing date, and a Gemini-cited source, GetKleerCard, reads "Capital One closed its $5.15 billion acquisition of Brex on April 7, 2026."

Ramp

Three high-severity inconsistencies concern Ramp's eligibility requirements and fee structure. When asked "What is better, Brex or Ramp?", AI Mode stated that "Ramp has lower cash-balance requirements and is accessible without jumping through minimum-balance hoops," citing GetKleerCard, ValueAddVC, and NerdWallet, while AI Overviews stated that "you need a minimum cash balance of $25,000 in a U.S. bank account to apply for Ramp," citing Ramp's own versus page along with NerdWallet and a YouTube comparison. A flagged GetKleerCard source reads "If you have less than $25,000 in your business bank account, neither will approve you on standard terms," while a flagged ValueAddVC source reads "Ramp wins for most startups on cost and accessibility, flat 1.5% cashback, no minimum funding requirement."

When asked "How much does the Ramp credit card cost?", Gemini stated that "foreign transaction fees are $0 for standard card purchases," citing Airwallex, Corpay, and GetKleerCard, while Copilot stated that "international card spend carries a ~3% exchange-rate markup," citing CashFlowPick, CheckThat, and FrontDeskReview. A flagged source on the Eightx blog reads "an FX markup that never appears as its own line item."

On the same question, Gemini stated that the free plan is "available with no annual fee" with no minimum bank balance requirement, while Copilot stated that a "business must maintain at least $25,000 in a linked U.S. business bank account to qualify." Flagged sources on both sides include the $25,000 figure, while a Corpay source reads "Ramp pricing starts at $0 per month per user on the Free plan and $15 per month per user on Plus."

BILL Spend & Expense

One high-severity inconsistency concerns monthly price. When asked "How much does expense report software cost?", Gemini stated that "BILL Spend & Expense is a $0 per user/month card-first platform with no subscription fee," citing Efficient App, BILL, and OFX, while AI Overviews stated that "BILL Spend & Expense starts at $49 per user/month," citing CCMonet, Airwallex, and BILL. A flagged source on BILL's own blog reads "BILL AI-powered expense management with all features included free, $0/user/month," while a flagged Airwallex source reads "BILL Small business credit $0 per user."

One high-severity inconsistency concerns Navan's relationship to SAP Concur. When asked "Which travel management tool is best for business owners?", Perplexity stated that "Navan is formerly SAP Concur," citing G2 Learn, SoftwareAdvice, and Perk, while AI Mode stated that "Navan and SAP Concur are separate, competing companies (Navan formerly TripActions; SAP Concur is a distinct enterprise tool)," citing a YouTube video and a Reddit thread. A flagged G2 Learn source confirms the AI Mode framing, reading "Navan (Formerly TripActions): Best for AI-driven travel and expense optimization, SAP Concur: Best for enterprise-level travel and expense management."

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.

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

800

800

Full prompt run before qualification

Unique questions

487

569

Distinct questions after de-duplication

Brand / competitor mentions

800

800

Prompts naming a tracked brand or competitor

Relevant prompts

702

730

Prompts relevant to the vertical

Irrelevant prompts

98

70

Prompts off-topic for the vertical

Qualified benchmark observations

473

469

Public denominator for brand-level rates

Qualified surface breadth

6

6

AI surface families with qualified observations

Companies tracked

10

10

Distinct company labels evaluated each month

The qualified counts above define the denominator for every brand-level rate in this report. August 2026 and September 2026 sat between the baseline and current months with 511 and 468 qualified observations respectively; those intermediate sets are noted for context but do not appear as comparison columns.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

473

469

Down 4

Companies tracked

10

10

Flat

Recommendation-shaped answer share

25.4%

64.0%

Up 38.6 points

Valid recommendation shortlist share

74.4%

78.7%

Up 4.3 points

Category leader by coverage

Ramp (68.9%)

Ramp (72.3%)

Leader retained, share up

The recommendation-shaped answer share rose sharply across the series, moving through 32.1% in August 2026 and 36.8% in September 2026 before reaching 64.0% in October 2026, indicating that a much larger share of qualified observations produced a recommendation-shaped answer in the current month.

AI Recommendation Trend

Questions This Section Answers

  • Which brands gained or lost recommendation coverage between July and October 2026?
  • Which brands moved beyond normal month-to-month variation, and in which direction?

The Leader Pulled Clear While Two Small-Count Brands Continued to Lose Coverage

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Ramp

68.9%

72.3%

Up 3.4 points

1st

Brex

56.7%

55.9%

Down 0.8 points

2nd

SAP Concur

44.4%

44.4%

Flat

3rd

Expensify

45.2%

42.9%

Down 2.3 points

4th

Navan

26.2%

27.5%

Up 1.3 points

5th

BILL Spend & Expense

20.5%

23.9%

Up 3.4 points

6th

Emburse

6.1%

7.7%

Up 1.6 points

7th

Airbase

7.6%

7.2%

Down 0.4 points

8th

Rydoo

5.5%

1.7%

Down 3.8 points

9th

Zoho Inventory

7.2%

0.0%

Down 7.2 points

10th

Zoho Expense

0.0%

0.0%

Flat

11th

Only two brands, Rydoo and Zoho Inventory, exceeded normal month-to-month variation across the series, and both moved downward. Every other tracked brand's baseline-to-current movement stayed within the ordinary range, and the leader's gain came together with smaller movements across the mid-field rather than a single dominant shift.

What Changed This Month

Questions This Section Answers

  • What drove Ramp's significant prior-month coverage gain, and did eligibility conflicts appear in those same answers?
  • How did Brex regain second place while its rank-one rate stayed below July levels?
  • Why are Rydoo and Zoho Inventory classified as significant decliners?

Ramp

Ramp's valid recommendation coverage rose from 68.9% in July 2026 to 72.3% in October 2026, up 3.4 points. The sharper number is the prior-to-current move: coverage rose 11.4 points from 60.9% in September 2026, which the benchmark classifies as significant, and Ramp's raw mention presence rose 4.6 points to 92.1% from July 2026.

Ramp's top-three recommendation rate moved from 54.5% in July 2026 to 55.4% in October 2026, up 0.9 points, and its rank-one rate rose from 30.4% to 32.2%, up 1.8 points. The brand recorded 339 valid recommendations in October 2026, the largest count in the category.

The distinction to notice: Ramp's coverage gain accompanies a broader presence gain, so the movement reflects how consistently the brand appears and is recommended together. Ramp remained the leader in every month of the series.

Highest-priority diagnostic: Which prompt types produced the significant prior-to-current coverage gain, and whether the concurrent consistency alerts on Ramp's eligibility and fee structure appear in those same answers.

Brex

Brex's valid recommendation coverage moved from 56.7% in July 2026 to 55.9% in October 2026, down 0.8 points. The prior-to-current move is the sharper story: coverage rose 7.0 points from 48.9% in September 2026, which the benchmark classifies as significant, extending an upward streak to two months.

Brex's top-three rate moved from 37.8% in July 2026 to 38.2% in October 2026, up 0.4 points, and its rank-one rate fell from 8.2% to 6.2%, down 2.0 points. Raw mention presence rose from 72.7% to 74.0%, up 1.3 points. The brand recorded 262 valid recommendations in October 2026.

The distinction that matters: Brex regained second place on coverage, but its rank-one rate remains below its July level, so the brand is being recommended in more answers without consistently reclaiming the top placement.

Highest-priority diagnostic: Which competitor takes first position when Brex appears but does not rank first, and whether the ownership-status inconsistencies affect which prompts recommend the brand.

Rydoo

Rydoo's valid recommendation coverage fell from 5.5% in July 2026 to 1.7% in October 2026, down 3.8 points, which the benchmark classifies as a significant decline. The decline has now extended across three consecutive months. The prior-to-current move was 0.9 points down from 2.6% in September 2026.

Rydoo's raw mention presence fell from 7.0% in July 2026 to 2.6% in October 2026, down 4.4 points. The brand recorded zero rank-one placements and its top-three rate held at 0.4%. It recorded 8 valid recommendations in October 2026, down from 26 in July 2026, and appeared in only 12 observations out of 469.

The distinction to notice: Rydoo's percentage movements rest on very small absolute counts. The three-month pattern is a steady loss of presence rather than a single sharp break.

Highest-priority diagnostic: Which prompts still mention Rydoo at all, and which surfaces dropped the brand over the series.

Zoho Inventory

Zoho Inventory's valid recommendation coverage fell from 7.2% in July 2026 to 0.0% in October 2026, down 7.2 points, which the benchmark classifies as a significant decline. The prior-to-current move was 6.8 points down from 6.8% in September 2026, also classified as significant.

The brand recorded zero present counts, zero valid recommendations, and zero top-three placements in October 2026. Its raw mention presence fell from 7.6% in July 2026 to 0.0% in October 2026, down 7.6 points.

The distinction to notice: Zoho Inventory has alternated between coverage and absence across the series, dropping to 0.0% in August 2026 before returning in September 2026 and falling to 0.0% again in October 2026. This pattern is consistent with a tracking-list change rather than a settled brand-level shift.

Highest-priority diagnostic: Whether the October absence reflects a tracking artifact or a genuine withdrawal from AI recommendation answers, and what the return pattern implies for the label's continuity.

BILL Spend & Expense

BILL Spend & Expense's valid recommendation coverage rose from 20.5% in July 2026 to 23.9% in October 2026, up 3.4 points, moving it past Emburse into sixth place. The prior-to-current move was 1.7 points up from 22.2% in September 2026, and the brand recorded 112 valid recommendations in October 2026.

Its top-three rate rose from 9.7% in July 2026 to 11.1% in October 2026, up 1.4 points, and its rank-one rate moved from 0.9% to 1.7%, up 0.8 points. Raw mention presence rose from 24.1% to 28.6%, up 4.5 points.

The distinction to notice: the coverage gain is supported by gains in presence, top-three, and rank-one rates together, indicating a broad rather than narrow improvement. BILL Spend & Expense also carries an unresolved pricing inconsistency between its own site and third-party sources.

Highest-priority diagnostic: Which pricing prompts surface the $0 versus $49 conflict, and whether the same prompts place the brand in the top three.

Ramp and Zoho Inventory divergence

The widest gap in the category is between Ramp and Zoho Inventory: 72.3% against 0.0% coverage in October 2026, a spread of 72.3 points, widened by 10.6 points from 61.7 points in July 2026. The BILL Spend & Expense gap to Zoho Inventory also widened by 10.6 points, from 13.3 points to 23.9 points.

This is a category observation about repositioning of the lower field, not a single brand's problem: a small-count untracked label at zero coverage leaves the mid-field gaps looking larger without any corresponding change at the top.

Highest-priority diagnostic: Whether the Zoho Inventory label's zero-coverage months are tracking artifacts, and how the divergence should be read once that is resolved.

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters does the benchmark actually measure, and which remain outside its reach?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts asking which expense management software to choose or what to use

Which brands are named first and most often in direct recommendation answers?

Pricing & Value

Prompts about cost, pricing tiers, or value comparisons

Which brands are associated with favorable or unfavorable pricing signals?

Multi-Brand Comparison

Prompts asking to compare specific options head-to-head

Which brand wins the comparison when two or more options are evaluated?

The qualified observations in October 2026 all fell into the brand recommendation class; the pricing and multi-brand comparison clusters recorded zero observations in each of the four tracked months. The public benchmark therefore measures which brands AI systems recommend within direct recommendation answers, but it does not yet capture how AI systems answer pricing questions or structured head-to-head comparisons. Those commercial questions remain outside the current benchmark's reach, even as the inconsistency alerts show that pricing and eligibility disputes are actively shaping answers elsewhere.

Brand Opportunity Summary

Questions This Section Answers

  • Which brand-level signals in October 2026 warrant the most urgent investigation?
  • Which diagnostics does the benchmark flag for the leading brands?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Ramp

72.3%

Category leader, widened lead, significant prior-month gain

Which prompts produced the significant coverage gain, and do eligibility conflicts appear in those same answers?

Brex

55.9%

Second place, significant prior-month recovery, rank-one still below July

Which competitor takes rank-one when Brex does not, and how do ownership-status conflicts shape the prompt set?

SAP Concur

44.4%

Flat across the series

Which comparison prompts favor competitors?

Expensify

42.9%

Fourth place, modest baseline decline, prior-month recovery

Which prompts reversed the September decline?

Navan

27.5%

Steady position, up on both comparisons

Whether the SAP Concur confusion appears in the prompts that recommend the brand

BILL Spend & Expense

23.9%

Broad gain across presence, top-three, and rank-one

Which pricing prompts surface the $0 versus $49 conflict?

Emburse

7.7%

Small-count gain, two-month upward streak

Which niche prompts recommend the brand?

Airbase

7.2%

Small-count, two-month upward streak

Which prompt clusters still recommend Airbase?

Rydoo

1.7%

Significant baseline decline in coverage, continued presence drop across three months

Which surfaces dropped the brand entirely?

Zoho Inventory

0.0%

Significant decline to zero coverage

Is the October zero a tracking artifact or a real withdrawal?

Zoho Expense

0.0%

No presence recorded across the series

Is this label a tracking artifact or a real market entry?

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. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement: brands such as Rydoo, Airbase, Emburse, and Zoho Inventory have low observation counts; their percentage movements rest on small absolute numbers and should be read with that context in mind.
  • Qualified denominator vs raw collection: brand-level rates are calculated within the qualified benchmark set (469 observations in October 2026), not the larger 800-prompt raw collection universe.
  • Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

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 matter for strategy: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The benchmark surfaces the what. It does not yet reveal the why behind a 16.4-point leader gap or the specific prompts that produced a significant prior-month coverage gain.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. For a category where pricing and eligibility conflicts are actively appearing in AI answers, and where two small-count brands are losing coverage across consecutive months, that level of detail is the difference between reacting to a number and understanding the shift.

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Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
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About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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