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 54 → 49 of 49
Google · 4 categories · RankedLooker
176Judge labels
3First choices
54Negative 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
5% in BI & dashboards for enterprise buyers
Rank 8 of 52 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 26% of its 47 labels there were negative.
What the models named instead of Looker →By buyer segmentRead the same way at every buyer size.
Small business54 of 54
0%23 labels
criticized challenger
Mid-market8 of 52
0%47 labels
criticized challenger
Enterprise3 of 55
5%63 labels
accepted challenger
In bi & dashboards · 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 Looker 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 |
|---|---|---|---|---|---|---|---|
| Dashboards and data visualization | GTM data and infrastructure | 0% | 8 of 52 | 26% | 47 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Data warehouse and reverse ETL for marketing | GTM data and infrastructure | 0% | 23 of 83 | 14% | 7 | under 10 labels · led by Hightouch at 40% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer intelligence and data science | GTM data and infrastructure | 0% | 35 of 142 | 0% | 5 | 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. |
| Data management platforms | GTM data and infrastructure | 0% | 83 of 159 | 0% | 1 | under 10 labels · led by Segment at 37% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Looker held within the floor in all four categories: no change cleared 11 points.
Best category · BI & dashboards · by segment
Mid-market=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 9 → 8 of 49
Enterprise▲+2Since September 2026: 2% → 4%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
4%from 2% in September 2026
Inside the floor by 9 pointsRank 5 → 3 of 48
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| BI & dashboards | 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 9 → 8 of 52 |
| Warehouse & ETL | 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 22 → 23 of 83 |
| 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 106 → 35 of 142 |
| DMP | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 83 of 159, unchanged |
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 Looker 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 Looker 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 | 2 | 1 | 4 |
| GPT-5.4 mini | 0 | 4 | 0 | 1 | 5 |
| Gemini 3.5 Flash | 0 | 2 | 1 | 1 | 4 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.1 Fast | 0 | 2 | 2 | 1 | 5 |
| Mistral Small | 0 | 3 | 2 | 1 | 6 |
| DeepSeek V4 Flash | 0 | 1 | 3 | 1 | 5 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 0 | 4 | 2 | 1 | 7 |
| Kimi K2 | 0 | 2 | 1 | 0 | 3 |
| GLM 4.7 FlashX | 0 | 3 | 1 | 1 | 5 |
| MiniMax M2.5 | 0 | 1 | 1 | 1 | 3 |
| GPT-6 Luna | 0 | 2 | 2 | 1 | 5 |
| Muse Glimmer 30B | 0 | 3 | 0 | 1 | 4 |
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
Direct29 labels1
Paraphrase23 labels1
Comparative32 labelsNone
Budget-constrained17 labelsNone
Scale-constrained33 labels1
Negative42 labelsNone
First choiceAlternativeMentionNegative176 labels in all, every segment counted; 3 of the 3 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.
“If your company has a dedicated data engineering team and lives on the Google Cloud Platform (GCP) or Snowflake, Looker is the strongest contender.” Qwen 3.7 Flash · BI & dashboards · paraphrase prompt · alternative
“Google Shop? (Workspace, BigQuery) $\rightarrow$ Looker ... Some modern tools (like Looker) charge based on processing power” Qwen 3.7 Flash · BI & dashboards · scale prompt · alternative
“A good fit when central modeling and governance are priorities, but its platform pricing is quote-based” GPT-6 Luna · BI & dashboards · direct prompt · alternative
“Best For: Engineering-heavy teams and organizations using modern cloud data warehouses (like BigQuery).” Qwen 3.7 Flash · BI & dashboards · 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 Looker unless you have a dedicated data team and the budget for its complexity and cost.” Mistral Small · BI & dashboards · negative prompt · hard negative
“Looker is frequently cited as a tool to avoid unless you have specific resources.” Qwen 3.7 Flash · BI & dashboards · negative prompt · hard negative
“Avoid BI layers like Looker if your team cannot support SQL/modeling work.” Perplexity Sonar · Warehouse & ETL · negative prompt · hard negative
“Steep learning curve... High cost and complexity... When to avoid: Small teams or without a dedicated data engineering team.” Grok 4.1 Fast · BI & dashboards · negative prompt · soft negative
Named alongside
The products named in the same answers as Looker, over the 176 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Looker was named but was not.ShowHide
Named alongside
The products named in the same answers as Looker, over the 176 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Looker 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 Looker. 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 155 of the 176 answers that named Looker and are not a share of its labels.
Domains cited
zoho.com42
improvado.io40
thoughtspot.com34
linkedin.com30
qlik.com28
medium.com26
cloud.google.comYour site24
resources.rework.com24
basedash.com23
ovaledge.com22
269 of the 293 domain citations in answers naming Looker came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Looker takes 0% of first choices and Microsoft Power BI takes 52%.ShowHide
Search and answers
cloud.google.com is not in Google's top ten for any of the category's searches. In the answers, Looker takes 0% of first choices and Microsoft Power BI takes 52%.
ShowHideIn search
Google, US estimatesPosition for “business intelligence and dashboard tool”
–
not in the top ten
Position for “best business intelligence and dashboard tool”
–
not in the top ten
- Searches for its name, Google
- 18,100 a month (“looker”)
- AI search demand for its name, est.
- 2,051 a month
- Organic visits to its site
- about 7,405,347 a month
- Searches its site ranks for
- 70,320 · 16,032 in the top three
- Sites linking to it
- 201,334
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
0%
rank 8 of 52 in BI & dashboards
Segment leader
52%
Microsoft Power BI
- First choices
- 3 across its categories
- Named in
- 176 answers
- Its own site cited
- in 155 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 cloud.google.com
79
subdomains included
Content
67
counted in the table below
Documentation
6
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | ||
| Case study | 19 | undated | |||
| Conference or event | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Most recent
- 2026-09-28Storage optimized z4d vm and bare metal instances blog
- 2026-09-28Accelerate geospatial coding with ai in google earth engine blog
- 2026-09-25Storage intelligence advisor and batch operations updates blog
- 2026-09-25Memorystore for valkey 9 1 3x qps caching blog
- 2026-09-252026 gartner magic quadrant for container management blog
- 2026-09-24Gemini 3 8 live with live avatar is now generally available blog
How it is countedHide how it is counted
Every page cloud.google.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 Looker
What the judge wrote, as written, with how often. The vendor table decides that these count as Looker; a claim can dispute any of them.
Looker (Google Cloud) 7Google Looker 2Looker (Google) 2Looker Enterprise 2Looker/Looker Studio 2Google Cloud Looker 1Google Looker (Cloud) 1Looker (by Google) 1Looker / Looker Studio 1
Follow Looker
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
Google is the company behind Looker.ShowHide
The company
Google is the company behind Looker.
ShowHideOn record
Wikidata- Website
- google.com
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Ownership
- Part of Alphabet Inc.
- Also from Google
- Adometry, Attribution 360, BigQuery, Firebase, Google ADH, Google Ad Manager, Google AdMob, Google AdSense and 81 more
Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
In its own words
Stated by the vendor, not checked- Positioning
- Platform for BI, data applications, and embedded analytics.
- Not stated on the pages read
- Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers
What Looker's own pages state, read September 28, 2026: cloud.google.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 Looker'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 Looker, 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 Looker by email, built from the raw record of the edition. It shows:
- where Looker 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 Looker, 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.