Finance AI Index
Index Spend and procurement Corporate travel managem › Booking.com for Business vs Ramp
Corporate travel management · September 2026 Edition

Booking.com for Business vs Ramp

Zero of twelve models named Booking.com for Business first on the direct prompt; zero named Ramp. Booking.com for Business was named by eleven of the twelve models and Ramp by eleven and Booking.com for Business carries 17 labels and Ramp 30, so the shares are not directly comparable.

Booking.com for Business

criticized challenger

Named in one category this edition.

Ramp

accepted challenger

Named in seventeen categories this edition.

First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate41%7%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#4A position in a field of 9; printed, not drawn.
Labels1730A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Booking.com for Business reading right to left. Rank and label count are printed, not drawn.Navan was named alongside these two in eleven of the twelve direct answers. Navan vs Booking.com for Business · Navan vs Ramp · TravelPerk vs Booking.com for Business

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the corporate travel management page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Booking.com for BusinessFirst choices, of twelve modelsRamp
Direct00
Paraphrase00
Comparative001 against Ramp
Budget-constrained42
Scale-constrained00
Negative007 against Booking.com for Business · 1 against Ramp
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Booking.com for Business and Ramp stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
Booking.com for Business Ramp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Booking.com for Business on the left and Ramp on the right.

The direct prompt

The plain question, one answer per model, grouped by where Booking.com for Business and Ramp stood in it.

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5TravelPerk alternatives: Navan, Ramp, SAP Concur
Gemini 3.5 FlashNavan alternatives: Amex GBT Egencia, Brex, Ramp, Rippling Travel, Spotnana, TravelPerk
Grok 4.1 FastNavan, TravelPerk alternatives: Ramp

Neither was named

9 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Perplexity SonarNavan alternatives: Amex GBT Egencia, SAP Concur, TravelPerk
Mistral SmallNavan alternatives: Spotnana, TravelPerk
DeepSeek V4 FlashNavan alternatives: Spotnana, TravelPerk
Llama 4 Maverickno first choice
Qwen 3.7 FlashNavan alternatives: AmTrav, ITILITE
Kimi K2Navan, TravelPerk alternatives: ITILITE, Rippling Travel
GLM 4.7 FlashXNavan alternatives: Amex GBT Egencia, ITILITE, Spotnana, TravelPerk
MiniMax M2.5ITILITE alternatives: Navan, TravelPerk

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Booking.com for Business leads by twelve points.
Booking.com for Business20%#2 of 10
Ramp8%#4 of 10
The full small business standing →
Mid-marketThe figures above
Booking.com for Business leads by four points.
Booking.com for Business9%#3 of 9
Ramp4%#4 of 9
The full mid-market standing →
Enterprise
The order flips: Ramp leads at enterprise.
Ramp4%#5 of 10
Booking.com for Business0%#– of 10
The full enterprise standing →

What the models said about Booking.com for Business

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“ConsumerAffairs shows a ~1.1 rating across thousands of reviews, citing inconsistent pricing, poor support communication” DeepSeek V4 Flash · negative prompt · hard negative
“Online Travel Agencies (OTAs) like Expedia, Booking.com, Travelocity, and similar sites - Why avoid?” Mistral Small · negative prompt · hard negative
“Consumer-Facing OTAs for Business (e.g., Expedia Business, Booking.com) ... Lack of Duty of Care” Qwen 3.7 Flash · negative prompt · hard negative
“the best starting point is usually Booking.com for Business if you want a free, self-service booking platform” Perplexity Sonar · budget prompt · first choice
“Start with Booking.com for Business (truly free) if you have very few bookings, or Engine” DeepSeek V4 Flash · budget prompt · first choice
“Booking.com for Business stands out as the best overall corporate travel booking platform.” Grok 4.1 Fast · budget prompt · first choice

What the models said about Ramp

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“Lightweight "Card-First" Travel Portals (e.g., Ramp, Brex...) ... they often lack the deep infrastructure of dedicated travel agencies” Gemini 3.5 Flash · negative prompt · soft negative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.