GTM AI Index
Index Vendors › Adalysis · September 2026 Edition
1 category · Ranked

Adalysis

23Judge labels
0First choices
2Negative labels
7 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Best standing
0% in Paid ads for mid-market buyers
Rank 30 of 137 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 8% of its 13 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In paid ads · 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 Adalysis 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Search and social advertising platformsMarketing0%30 of 1378%13accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Adalysis yet. The next is due October 1, 2026. 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 Adalysis across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar01012
Grok 4.1 Fast00202
Mistral Small00101
DeepSeek V4 Flash02002
Llama 4 Maverick00202
Qwen 3.7 Flash00000
Kimi K200303
GLM 4.7 FlashX01001
MiniMax M2.500000

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
Direct2 labelsNone
Paraphrase1 labelNone
Comparative7 labels1not counted in share
Budget-constrained1 labelNone
Scale-constrained6 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative23 labels in all, every segment counted; 0 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.

“Choose Optmyzr or Adalysis if your priority is PPC optimization depth” Perplexity Sonar · Paid ads · comparative prompt · alternative
“or Adalysis are better alternatives to the platforms listed above” GLM 4.7 FlashX · Paid ads · negative prompt · alternative
“Search-heavy PPC team? → Optmyzr or Adalysis” DeepSeek V4 Flash · Paid ads · comparative prompt · alternative
“Google ads testing, automated auditing” DeepSeek V4 Flash · Paid ads · negative 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.

“limited support for newer campaign types like PMax, so it may be a poor fit” Perplexity Sonar · Paid ads · negative prompt · soft negative

Named alongside

The products named in the same answers as Adalysis, over the 23 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Adalysis was named but was not.
ProductSame answerTook the first choice insteadHead to head
Optmyzr20 of 235Not in the top three
Skai18 of 232Not in the top three
Marin Software16 of 234Not in the top three
Madgicx11 of 231Not in the top three
Opteo11 of 231Not in the top three
WordStream11 of 230Not in the top three
Adzooma10 of 230Not in the top three
Meta Ads9 of 232Not in the top three
AdEspresso9 of 230Not in the top three
Smartly9 of 230Not 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 Adalysis. 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 2 of the 23 answers that named Adalysis and are not a share of its labels.

Domains cited

clicksgeek.com2
g2.com2
get-ryze.ai2
hawksem.com2
reddit.com2
stackmatix.com2
worldmetrics.org2
zipdo.co2
adspirer.com1
blog.wask.co1

Eighteen of the eighteen domain citations in answers naming Adalysis came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 Adalysis'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 Adalysis, 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 adalysis.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.

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