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
Financial reporting and dashboards	Planning and analysis	0%	21 of 133	21%	14	accepted challenger
SaaS metrics and analytics	Planning and analysis	0%	15 of 81	11%	9	under 10 labels · led by ChartMogul at 45%
Financial modeling and scenario planning	Planning and analysis	0%	74 of 114	0%	1	under 10 labels · led by Datarails at 19%

Movement

This is the first edition on this tier, so no move can be computed for Looker yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Looker across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	0	0	1
GPT-5.4 mini	3	1	0	4
Gemini 3.5 Flash	1	1	0	2
Perplexity Sonar	0	1	1	2
Grok 4.1 Fast	1	2	1	4
Mistral Small	0	1	0	1
DeepSeek V4 Flash	2	0	1	3
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	1	1	0	2
Kimi K2	1	0	1	2
GLM 4.7 FlashX	2	0	0	2
MiniMax M2.5	1	0	0	1

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

Direct11 labels1

Paraphrase8 labelsNone

Comparative26 labelsNone

Budget-constrained5 labelsNone

Scale-constrained6 labelsNone

Negative27 labelsNone

First choiceAlternativeMentionNegative83 labels in all, every segment counted; 1 of the 1 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.

“Looker wins when you live on Google Cloud with data in BigQuery and want metrics defined once in code” DeepSeek V4 Flash · Financial reporting · comparative prompt · alternative

“a general analytics stack like Looker, Tableau, Power BI, or Sigma may be better” GPT-5.4 mini · SaaS metrics · direct prompt · alternative

“if you need fully custom analysis and already have strong data/analytics resources” GPT-5.4 mini · SaaS metrics · paraphrase prompt · alternative

“Large enterprises needing strict data governance and a "single source of truth."” Qwen 3.7 Flash · Financial reporting · 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.

“Budget-conscious: Avoid Looker” Kimi K2 · Financial reporting · negative prompt · hard negative

“Steep learning curve (requires LookML knowledge), inflexible visualizations, very expensive” Grok 4.1 Fast · Financial reporting · negative prompt · soft negative

“Be cautious: General-purpose BI tools (Power BI, Tableau, Looker) for SaaS metrics” DeepSeek V4 Flash · SaaS metrics · negative prompt · soft negative

“may lack the necessary reporting features for that use case” Perplexity Sonar · Financial reporting · negative prompt · soft negative

Named alongside

The products named in the same answers as Looker, over the 83 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.

ProductSame answerTook the first choice insteadHead to head

Tableau72 of 835Not in the top three

Microsoft Power BI63 of 8321Not in the top three

ChartMogul39 of 8318Not in the top three

Baremetrics36 of 832Not in the top three

ProfitWell Metrics23 of 833Not in the top three

Amplitude23 of 831Not in the top three

Mixpanel20 of 830Not in the top three

Domo19 of 830Not in the top three

Qlik Sense19 of 830Not in the top three

Metabase18 of 831Not in the top three

A head-to-head page exists where both products are in a category's top three. 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, four of the twelve in this edition, so these counts come from 60 of the 83 answers that named Looker and are not a share of its labels.

Domains cited

designrevision.com23

getfairview.com22

databox.com21

baremetrics.com19

worldmetrics.org19

artisangrowthstrategies.com11

basedash.com11

improvado.io10

saashero.net10

saasrise.com10

156 of the 156 domain citations in answers naming Looker came from somebody else's page.

Pages cited

designrevision.com/blog/saas-reporting-tools23

baremetrics.com/blog/baremetrics-vs-chartmogul-vs-profitwell12

getfairview.com/best/saas-metrics-software12

saasrise.com/blog/saas-metrics-platform-rankings-report10

artisangrowthstrategies.com/blog/profitwell-vs-chartmogul-vs-baremetrics-20269

getfairview.com/blog/best-saas-analytics-tools9

kanerika.com/blogs/enterprise-reporting-tools9

baremetrics.com/blog/baremetrics-vs-chartmogul-which-is-right-for-your-business8

Pages are listed as the models cited them.

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) 1Looker (Google) 1

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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at looker.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.