GTM AI Index
Index GTM data and infrastructure Identity › Demandbase vs Amperity
Identity resolution · September 2026 Edition

Demandbase vs Amperity

One of twelve models named Demandbase first on the direct prompt; two named Amperity. Demandbase was named by seven of the twelve models and Amperity by eleven and Demandbase carries 11 labels and Amperity 28, so the shares are not directly comparable.

Demandbase

accepted challenger

San Francisco, United States, founded 2006. Named in eighteen categories this edition.

Amperity

criticized challenger

Named in three categories this edition.

First-choice share4%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%43%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 18; printed, not drawn.
Labels1128A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Demandbase reading right to left. Rank and label count are printed, not drawn.Hightouch vs Demandbase · Hightouch vs Amperity · LiveRamp vs Demandbase

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 identity resolution page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
DemandbaseFirst choices, of twelve modelsAmperity
Direct122 against Amperity
Paraphrase102 against Demandbase · 3 against Amperity
Comparative00
Budget-constrained006 against Amperity
Scale-constrained001 against Amperity
Negative00
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 Demandbase and Amperity 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
Demandbase Amperity first choice named as an alternative argued againstblank: not namedEach cell is one answer, Demandbase on the left and Amperity on the right.

The direct prompt

The plain question, one answer per model, grouped by where Demandbase and Amperity stood in it.

Demandbase first, Amperity not the choice

1 of 12 modelsAmperity was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashDemandbase, HubSpot Breeze Intelligence alternatives: 6Degrees, 6sense, Blue90, Salesforce Einstein, Terminus

Amperity first, Demandbase not the choice

2 of 12 modelsDemandbase was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Amperity, Tealium alternatives: Adobe's Real-Time Customer Data Platform, FullContact, Snitcher
MiniMax M2.5Amperity, Tealium alternatives: DirectMail.io, LettrLabs, Segment

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashOpenprise alternatives: 6sense, Demandbase, Hightouch, HubSpot Breeze Intelligence, RudderStack, ZoomInfo
DeepSeek V4 FlashHightouch alternatives: 6sense, CustomerLabs 1PD Ops, Demandbase, ZoomInfo

Neither was named

7 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniHightouch, Tealium alternatives: Salesforce Data Cloud, Treasure Data, Zeotap
Perplexity SonarSegment alternatives: Hightouch, Prospeo, Tealium
Grok 4.1 FastSegment alternatives: CustomerLabs 1PD Ops, Hightouch, Prospeo
Mistral SmallWarmly alternatives: LiveRamp, MarketBetter, RB2B
Llama 4 Maverickno first choice
Kimi K2Apollo.io alternatives: FullContact, LeanData, Lusha
GLM 4.7 FlashXTealium alternatives: CustomerLabs, ZoomInfo

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
Demandbase leads by two points.
Demandbase2%#– of 15
Amperity0%#14 of 15
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Demandbase4%#7 of 18
Amperity4%#8 of 18
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Demandbase2%#8 of 13
Amperity2%#7 of 13
The full enterprise standing →

What the models said about Demandbase

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

“Widely considered the gold standard for ABM. It uses deep identity resolution to map anonymous website visitors to accounts with high accuracy.” Qwen 3.7 Flash · direct prompt · first choice

What the models said about Amperity

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

“Enterprise identity layers like LiveRamp, Adobe, Salesforce, or Amperity unless the cost of identity errors is very high” Perplexity Sonar · budget prompt · hard negative
“Enterprise platforms (LiveRamp, Amperity, Experian): $50K+/year - Not budget-friendly” Mistral Small · budget prompt · hard negative
“Avoid enterprise like LiveRamp/Amperity ($50K-$250K/year) unless high compliance needs.” Grok 4.1 Fast · paraphrase prompt · hard negative
“mid-market firms requiring high accuracy should look toward Amperity or Tealium” Claude Haiku 4.5 · direct prompt · first choice
“Tealium or Amperity offer the best balance of depth and scalability” MiniMax M2.5 · direct prompt · first choice
“Amperity uses AI and probabilistic models... Best For: Retailers, travel companies, and hospitality brands with huge, messy databases” Gemini 3.5 Flash · comparative prompt · alternative
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.