Expense Management Software: AI Market Discovery Index
Tracking how AI platforms recommend expense management software. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Decline: Brex
- 08Largest Decline: Ramp
- 09Largest Decline: Zoho Inventory
- 10Other Movers
- 11Category Leader: Ramp
- 12Recommendation Placement Snapshot
Benchmark Summary
Ramp led the field in August 2026 with 59.5% valid recommendation coverage, down from 68.9% in July 2026, while Expensify held the second position at 49.1% in August 2026, up from 45.2% in July 2026, narrowing the gap between the two leaders from 23.7 percentage points to 10.4 percentage points. The largest coverage increase came from BILL Spend & Expense, which advanced from 20.5% in July 2026 to 23.3% in August 2026, and Expensify also rose from 45.2% in July 2026 to 49.1% in August 2026. The largest coverage decline was Brex, falling from 56.7% in July 2026 to 45.8% in August 2026, with Zoho Inventory dropping from 7.2% to 0.0% and Ramp declining from 68.9% to 59.5% across the same period.
The benchmark began with 800 prompt-surface observations in each month and produced 511 qualified observations in August 2026 after qualification.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Aug 2026
- Ramp-9.4% · beyond normal variationJul 202668.9%Aug 202659.5%
- Expensify+3.9%Jul 202645.2%Aug 202649.1%
- Brex-10.9% · beyond normal variationJul 202656.7%Aug 202645.8%
- SAP Concur-5.1%Jul 202644.4%Aug 202639.3%
- BILL Spend & Expense+2.8%Jul 202620.5%Aug 202623.3%
- Navan-5.3%Jul 202626.2%Aug 202620.9%
- Emburse-1.2%Jul 20266.1%Aug 20264.9%
- Airbase-3.3% · beyond normal variationJul 20267.6%Aug 20264.3%
- Rydoo-1.6%Jul 20265.5%Aug 20263.9%
- **Zoho Expenseno changeJul 20260.0%Aug 20260.0%
- Zoho Inventory-7.2% · beyond normal variationJul 20267.2%Aug 20260.0%
Current Benchmark at a Glance
Measure | July 2026 | August 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 473 | 511 | Up 38 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 25.4% | 32.1% | Up 6.7 points |
Valid recommendation shortlist share | 74.4% | 68.5% | Down 5.9 points |
Leader by valid recommendation coverage | Ramp | Ramp | No change |
Qualified surface breadth counts the canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Expense Management Software
Research Scope and Qualification
The public benchmark is narrower than the raw collection universe by design.
Research stage | July 2026 | August 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 800 | Total prompts collected across surfaces |
Unique questions | 487 | 548 | Distinct questions after deduplication |
Brand / competitor mentions | 800 | 800 | Prompts mentioning a tracked brand |
Relevant observations | 702 | 746 | On-topic for the vertical |
Irrelevant observations | 98 | 54 | Off-topic or not usable |
Qualified benchmark observations | 473 | 511 | Public denominator for brand metrics |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. Link: AI Market Discovery Methodology.
Current Brand Standings
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Ramp | 83.2% | 59.5% | 46.8% | 27.4% | 0.79 |
Expensify | 62.0% | 49.1% | 28.6% | 11.7% | 0.86 |
Brex | 62.2% | 45.8% | 29.8% | 5.5% | 0.81 |
SAP Concur | 54.8% | 39.3% | 18.2% | 3.9% | 0.79 |
BILL Spend & Expense | 27.0% | 23.3% | 11.3% | 1.2% | 0.90 |
Navan | 28.0% | 20.9% | 14.3% | 8.0% | 0.84 |
Emburse | 8.4% | 4.9% | 1.8% | 0.6% | 0.70 |
Airbase | 7.4% | 4.3% | 1.6% | 0.0% | 0.63 |
Rydoo | 5.7% | 3.9% | 0.6% | 0.0% | 0.76 |
Zoho Expense | 0.0% | 0.0% | 0.0% | 0.0% | 0.00 |
Want the full Authority Index
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How to Read the Standings
- Presence rate: Share of qualified observations where the brand is mentioned at all.
- Valid recommendation coverage: Share of qualified observations where the brand appears in a valid recommendation shortlist.
- Top-three rate: Share of qualified observations where the brand appears in the top three recommended positions.
- Rank-one rate: Share of qualified observations where the brand is the first recommendation.
- Net sentiment: Positive mentions minus negative mentions, divided by all mentions carrying sentiment.
For formulas and denominator rules, see AI Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | July 2026 | August 2026 | Movement since baseline |
|---|---|---|---|
Airbase | 7.6% | 4.3% | Down 3.3 points |
BILL Spend & Expense | 20.5% | 23.3% | Up 2.8 points |
Brex | 56.7% | 45.8% | Down 10.9 points |
Emburse | 6.1% | 4.9% | Down 1.2 points |
Expensify | 45.2% | 49.1% | Up 3.9 points |
Navan | 26.2% | 20.9% | Down 5.3 points |
Ramp | 68.9% | 59.5% | Down 9.4 points |
Rydoo | 5.5% | 3.9% | Down 1.6 points |
SAP Concur | 44.4% | 39.3% | Down 5.1 points |
Zoho Expense | 0.0% | 0.0% | No change |
Zoho Inventory | 7.2% | 0.0% | Down 7.2 points |
Largest Decline: Brex
Brex fell from 56.7% valid recommendation coverage in July 2026 to 45.8% in August 2026, a decline of 10.9 percentage points that moved beyond normal month-to-month variation. Presence also fell, from 72.7% to 62.2%, and top-three placement declined from 37.8% to 29.8%. Rank-one rate moved from 8.2% to 5.5%.
Largest Decline: Ramp
Ramp declined from 68.9% valid recommendation coverage in July 2026 to 59.5% in August 2026, a drop of 9.4 percentage points beyond normal variation, though it retained the coverage lead. Top-three placement also fell, from 54.5% to 46.8%, while presence moved from 87.5% to 83.2%.
Largest Decline: Zoho Inventory
Zoho Inventory fell from 7.2% valid recommendation coverage in July 2026 to 0.0% in August 2026, a decline of 7.2 percentage points beyond normal variation. The brand recorded no presence in August 2026, down from 7.6% presence in July 2026.
Other Movers
Airbase declined from 7.6% valid recommendation coverage in July 2026 to 4.3% in August 2026, a drop of 3.3 percentage points beyond normal variation. Expensify's rank-one rate rose from 7.8% to 11.7%, a 3.9-point increase. Navan's rank-one rate fell from 12.5% to 8.0%, a 4.5-point decline. BILL Spend & Expense posted the largest coverage increase, rising 2.8 points from 20.5% to 23.3%, though within normal month-to-month variation.
Want the full Authority Index
The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
Category Leader: Ramp
Ramp led valid recommendation coverage in August 2026 at 59.5%, down from 68.9% in July 2026 but still ahead of Expensify at 49.1%. Ramp also led presence rate at 83.2% and rank-one rate at 27.4% in August 2026.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. Among the leading brands in August 2026, Ramp held the strongest first-position presence at 27.4%, more than double Expensify's 11.7%.
Brand | August 2026 top-three rate | August 2026 rank-one rate | July 2026 top-three rate | July 2026 rank-one rate |
|---|---|---|---|---|
Ramp | 46.8% | 27.4% | 54.5% | 30.4% |
Expensify | 28.6% | 11.7% | 24.1% | 7.8% |
Brex | 29.8% | 5.5% | 37.8% | 8.2% |
Close coverage can still hide different first-position rates: Brex's 45.8% coverage in August 2026 placed it in the top three 29.8% of the time, but it ranked first only 5.5% of the time, while Expensify ranked first 11.7% of the time on 49.1% coverage.
Buyer-Intent Distribution
In both July and August 2026, all qualified observations fell into the Brand Recommendation class.
Buyer-intent class | July 2026 | August 2026 |
|---|---|---|
Brand Recommendation | 473 | 511 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 473 | 511 |
The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.
Historical Measurement Record
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
July 2026 | 473 | Ramp | 68.9% | Baseline |
August 2026 | 511 | Ramp | 59.5% | Brex down 10.9 points |
Evidence and Source Layer
The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure:
- Market share, sales attribution, or commercial outcomes from AI recommendations.
- Every possible AI response; it covers a defined set of prompt-surface observations.
- Organic-search ranking or social mention volume.
- Private or sponsored channels.
- Causality from a metric movement alone; movements are recorded, not explained.
About This Benchmark
The LLM Authority Index AI Market Discovery Index is a neutral, repeatable benchmark of how AI and search surfaces recommend brands and products across a vertical. It tracks presence, recommendation coverage, placement, sentiment, and buyer-intent class on a monthly basis.
- AI Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
Get a Company-Level Authority Index
The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
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