IT AI Index
Index Vendors › Sematext · September 2026 Edition
2 categories · Named, not ranked

Sematext

7Judge labels
1First choices
0Negative labels
6 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Sematext was named 5 times in Infra monitoring and 1 other category, where Site24x7 led with 24%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In infra monitoring · 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 Sematext 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
Infrastructure monitoringIT operations and endpoint2%10 of 650%3under 10 labels · led by Site24x7 at 24%
Log managementIT operations and endpoint0%25 of 590%2under 10 labels · led by Datadog Log Management at 20%

Movement

This is the first edition on this tier, so no move can be computed for Sematext 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 Sematext across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510001
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar02002
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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
Direct4 labels1
Paraphrase1 labelNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative7 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.

“Sematext is a solid all-rounder for mid-market companies that need a comprehensive observability solution with transparent pricing” Claude Haiku 4.5 · Infra monitoring · direct prompt · first choice
“if you want a unified platform that combines infrastructure monitoring, APM, logs, RUM, and synthetic monitoring” Perplexity Sonar · Infra monitoring · paraphrase prompt · alternative
“If budget is a primary concern and you want a simple, transparent pricing model, consider Sematext.” Mistral Small · Logs · direct prompt · alternative
“Evaluate "value-for-money" SaaS like Sematext, Site24x7, or CloudZero” DeepSeek V4 Flash · Infra monitoring · 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.

No model argued against it.

Named alongside

The products named in the same answers as Sematext, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sematext was named but was not.
ProductSame answerTook the first choice insteadHead to head
Site24x74 of 71Not in the top three
Better Stack3 of 72Not in the top three
New Relic Logs3 of 71Not in the top three
Datadog3 of 70Not in the top three
Splunk3 of 70Not in the top three
Grafana2 of 71Not in the top three
Graylog2 of 71Not in the top three
Datadog Log Management2 of 70Not in the top three
Grafana Loki2 of 70Not in the top three
Nagios2 of 70Not 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 Sematext. 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 6 of the 7 answers that named Sematext and are not a share of its labels.

Domains cited

dash0.com4
betterstack.com3
gartner.com3
middleware.io3
toolradar.com3
capterra.com2
cloudzero.com2
cribl.io2
cubeapm.com2
getapp.com2

Twenty-six of the twenty-six domain citations in answers naming Sematext came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Sematext

What the judge wrote, as written, with how often. The vendor table decides that these count as Sematext; a claim can dispute any of them.
Sematext Cloud 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 Sematext'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 Sematext, 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 sematext.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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