Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 105 → 124 of 125
4 categories · RankedAmperity
109Judge labels
4First choices
38Negative labels
14 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
6% in Identity for enterprise buyers
Rank 32 of 140 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 25% of its 20 labels there were negative.
What the models named instead of Amperity →By buyer segmentRead the same way at every buyer size.
Small business130 of 131
0%21 labels
criticized challenger
Mid-market32 of 140
0%20 labels
criticized challenger
Enterprise4 of 99
6%25 labels
accepted challenger
In identity · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named Amperity for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Identity resolution | GTM data and infrastructure | 0% | 32 of 140 | 25% | 20 | criticized challenger | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer data platforms | GTM data and infrastructure | 0% | 20 of 61 | 12% | 8 | under 10 labels · led by Segment at 49% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data management platforms | GTM data and infrastructure | 0% | 52 of 159 | 25% | 4 | under 10 labels · led by Segment at 37% | newNew since September 2026: not ranked then, 0% now. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 41 of 142 | 0% | 3 | under 10 labels · led by Amplitude at 18% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Amperity held within the floor in all four categories: no change cleared 11 points.
Best category · Identity · by segment
Mid-market▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 4% in September 2026
Inside the floor by 7 pointsRank 12 → 28 of 131
Enterprise▲+4Since September 2026: 2% → 6%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
6%from 2% in September 2026
Inside the floor by 7 pointsRank 11 → 4 of 89
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Identity | 4% | 0% | ▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 12 → 32 of 140 |
| CDP | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 20 of 61, unchanged |
| DMP | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 52 of 159, unchanged |
| Customer intel | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 123 → 41 of 142 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Amperity across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Amperity across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 3 | 0 | 4 |
| Gemini 3.5 Flash | 1 | 1 | 1 | 1 | 4 |
| Perplexity Sonar | 0 | 0 | 3 | 0 | 3 |
| Grok 4.1 Fast | 0 | 2 | 1 | 0 | 3 |
| Mistral Small | 0 | 1 | 0 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 4 | 1 | 2 | 7 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 0 | 1 | 3 |
| Kimi K2 | 0 | 1 | 0 | 2 | 3 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct12 labelsNone
Paraphrase7 labels1
Comparative40 labels3not counted in share
Budget-constrained14 labels2
Scale-constrained13 labels1
Negative23 labels1not counted in share
First choiceAlternativeMentionNegative109 labels in all, every segment counted; 4 of the 8 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Incredible accuracy at "fuzzy" matching on raw, unstructured data.” Gemini 3.5 Flash · Identity · comparative prompt · first choice
“Amperity for complex first-party customer data” GPT-6 Luna · Identity · comparative prompt · first choice
“Choose Amperity or Tealium if you have high-volume data and need the most accurate identity resolution possible.” Qwen 3.7 Flash · CDP · comparative prompt · alternative
“If you want full control, privacy, and first-party data integration, choose a CDP like Amperity or Segment.” Mistral Small · Identity · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Avoid enterprise platforms like ... Amperity — these are quote-based and typically start in the six figures annually.” DeepSeek V4 Flash · DMP · budget prompt · hard negative
“you should completely avoid traditional Customer Data Platforms (CDPs) like Amperity, Tealium, or LiveRamp” Gemini 3.5 Flash · Identity · budget prompt · hard negative
“Enterprise-only, B2C-focused, with heavy implementation complexity” DeepSeek V4 Flash · Identity · paraphrase prompt · hard negative
“What to Avoid (Too Expensive for Limited Budgets)” Kimi K2 · Identity · budget prompt · hard negative
Named alongside
The products named in the same answers as Amperity, over the 109 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amperity was named but was not.ShowHide
Named alongside
The products named in the same answers as Amperity, over the 109 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Amperity was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named Amperity. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 108 of the 109 answers that named Amperity and are not a share of its labels.
Domains cited
cdp.com45
guideflow.com44
g2.com37
gtm-ai-index.com36
prospeo.io34
redpointglobal.com30
amperity.comYour site29
scmgalaxy.com29
devopsschool.com27
checkthat.ai26
308 of the 337 domain citations in answers naming Amperity came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
amperity.com is not in Google's top ten for any of the category's searches. In the answers, Amperity takes 0% of first choices and Hightouch Adaptive Identity Resolution takes 12%.ShowHide
Search and answers
amperity.com is not in Google's top ten for any of the category's searches. In the answers, Amperity takes 0% of first choices and Hightouch Adaptive Identity Resolution takes 12%.
ShowHideIn search
Google, US estimatesPosition for “identity resolution platform”
–
not in the top ten
Position for “best identity resolution platform”
–
not in the top ten
- Searches for its name, Google
- 2,400 a month (“amperity”)
- AI search demand for its name, est.
- 2,620 a month
- Organic visits to its site
- about 3,982 a month
- Searches its site ranks for
- 756 · 56 in the top three
- Sites linking to it
- 1,655
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 32 of 140 in identity
Segment leader
12%
Hightouch Adaptive Identity Resolution
- First choices
- 4 across its categories
- Named in
- 109 answers
- Its own site cited
- in 108 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on amperity.com
1,071
subdomains included
Content
379
counted in the table below
Documentation
680
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 267 | 9 | 2026-09-24 | CDP, Identity | |
| Webinar or virtual event | 36 | undated | CDP | ||
| Case study | 28 | undated | |||
| Report or ebook | 20 | undated | Identity | ||
| Comparison | 13 | 3 | 2026-09-15 | CDP | |
| News or press | 7 | undated | |||
| Glossary or explainer | 6 | 1 | 2026-07-27 | CDP | |
| Conference or event | 1 | undated | |||
| Podcast or video | 1 | undated |
Most recent
- 2026-09-24Amperity mcp claude chatgpt blog
- 2026-09-21Generative ai brand discovery blog
- 2026-09-16Signal insights dashboard blog
- 2026-09-15Build vs buy ai agents comparison
- 2026-09-15Activate amperity audiences openai ads blog
- 2026-09-10Conversion signals paid media optimization blog
How it is countedHide how it is counted
Every page amperity.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Amperity
What the judge wrote, as written, with how often. The vendor table decides that these count as Amperity; a claim can dispute any of them.
Amperity (AmpID) 1
Follow Amperity
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
Amperity is its own company.ShowHide
The company
Amperity is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI Customer Data Platform for Enterprise Brands
- For
- enterprise brands
- Customers named
- Citizen WatchWyndham Hotels & ResortsNew LookAlaska Airlines
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting
What Amperity's own pages state, read September 28, 2026: amperity.com, trust.amperity.com. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Amperity's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Amperity, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for Amperity by email, built from the raw record of the edition. It shows:
- where Amperity is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name Amperity, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.