3 categories · RankedInfoSum
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data clean rooms | GTM data and infrastructure | 10% | 4 of 100 | 23% | 39 | accepted challenger | |
| Identity resolution | GTM data and infrastructure | 0% | 54 of 140 | 0% | 2 | under 10 labels · led by Hightouch Adaptive Identity Resolution at 12% | =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% | 78 of 159 | 0% | 1 | under 10 labels · led by Segment at 37% | newNew since September 2026: not ranked then, 0% now. |
Movement
By model
How each model treated InfoSum across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 3 | 1 | 2 | 6 |
| Perplexity Sonar | 1 | 2 | 0 | 0 | 3 |
| Grok 4.20 | 1 | 1 | 2 | 1 | 5 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 3 | 1 | 2 | 6 |
| Llama 4 Maverick | 1 | 0 | 2 | 0 | 3 |
| Qwen 3.7 Flash | 0 | 1 | 1 | 1 | 3 |
| Kimi K2 | 1 | 0 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 1 | 2 |
| MiniMax M2.5 | 1 | 0 | 2 | 0 | 3 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“InfoSum – Praised for its flexible collaboration capabilities and suitability for mid-market needs, without requiring enterprise-scale resources.” Mistral Small · Data clean rooms · direct prompt · first choice
“I would recommend InfoSum as a privacy-safe data collaboration platform for a mid-sized B2B company.” Llama 4 Maverick · Data clean rooms · paraphrase prompt · first choice
“I would recommend InfoSum if your priority is privacy-safe data collaboration with partners” Perplexity Sonar · Data clean rooms · paraphrase prompt · first choice
“I'd suggest starting with either Decentriq or InfoSum” MiniMax M2.5 · Data clean rooms · paraphrase prompt · first choice
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 SaaS (e.g., LiveRamp, InfoSum) at $500+/month unless trialing.” Grok 4.20 · Data clean rooms · budget prompt · hard negative
“pricing and complexity are often overkill for mid-market needs” DeepSeek V4 Flash · Data clean rooms · direct prompt · hard negative
“like LiveRamp (Habu), InfoSum, or Decentriq is rarely feasible, as licensing fees for these platforms often run in the tens or hundreds of thousands of dollars annually” Gemini 3.5 Flash · Data clean rooms · budget prompt · soft negative
“operate on enterprise contracts starting at $20k–$50k+, which is usually out of reach for tight budgets” Qwen 3.7 Flash · Data clean rooms · budget prompt · soft negative
Named alongside
The products named in the same answers as InfoSum, over the 119 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and InfoSum was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 114 of the 119 answers that named InfoSum and are not a share of its labels.
Domains cited
439 of the 439 domain citations in answers naming InfoSum came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
infosum.com ranks 6 on Google for the category's searches. In the answers, InfoSum takes 10% of first choices and Snowflake Data Clean Rooms takes 19%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 390 a month (“infosum”)
- AI search demand for its name, est.
- 7 a month
- Organic visits to its site
- about 362 a month
- Searches its site ranks for
- 236 · 7 in the top three
- Sites linking to it
- 1,385
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This edition- First choices
- 11 across its categories
- Named in
- 119 answers
- Its own site cited
- in 114 of the answers that named it
Search figures are US estimates from DataForSEO, read October 5, 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
ShowHide| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 236 | undated | Identity | ||
| Podcast or video | 145 | undated | Identity | ||
| Conference or event | 30 | undated | |||
| Case study | 14 | undated | |||
| Glossary or explainer | 7 | undated | |||
| News or press | 3 | undated | |||
| Comparison | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Report or ebook | 1 | undated |
How it is countedHide how it is counted
Every page infosum.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 InfoSum
Follow InfoSum
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
InfoSum is its own company.ShowHide
The company
In its own words
Stated by the vendor, not checked- Positioning
- InfoSum is the leading data collaboration platform, using privacy-enhancing technology to unlock the power of first-party data safely and at scale.
- For
- organizations
- Customers named
- ITVLenovoCarwowTescoHeinekenEyeotaWPPTripadvisor
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, hosting
What InfoSum's own pages state, read October 5, 2026: infosum.com, infosum.com/platform/security, infosum.com/platform/privacy, infosum.com/resources/case-studies. A claimed page can correct any of them.
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 InfoSum'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 InfoSum, 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 InfoSum by email, built from the raw record of the edition. It shows:
- where InfoSum 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 InfoSum, 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.