IT AI Index

Index › Products › Arize Phoenix · October 2026 Edition

3 categories · Named, not ranked

Arize Phoenix

16Judge labels

2First choices

0Negative labels

8 / 14Models named it

3Categories

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Arize Phoenix was named 6 times in AI governance and 2 other categories, where Credo AI led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business6 of 144

under the label threshold

Mid-market30 of 135

under the label threshold

Enterprisenot named

No model named it for this buyer.

In ai governance · 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 Arize Phoenix 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
AI governance platforms	Data platform	0%	30 of 135	0%	3	under 10 labels · led by Credo AI at 18%
LLM gateways and observability	Data platform	0%	23 of 69	0%	2	under 10 labels · led by LiteLLM at 31%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
Application security posture management	Developer platform	0%	44 of 70	0%	1	under 10 labels · led by Aikido Security at 37%

Movement

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

By model

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

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.20	1	1	2
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	0	1
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	2	2

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

Direct0 labelsNone

Paraphrase7 labelsNone

Comparative2 labels1not counted in share

Budget-constrained6 labels2

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative16 labels in all, every segment counted; 2 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.

“Open-source tracing, evaluation, monitoring for ML/LLMs (no usage caps).” Grok 4.20 · AI governance · budget prompt · alternative

“The Best for Monitoring: Arize Phoenix (Open Source)” GLM 4.7 FlashX · AI governance · budget prompt · alternative

“A fully open-source observability framework.” Qwen 3.7 Flash · AI governance · budget 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 Arize Phoenix, over the 16 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Arize Phoenix was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Langfuse10 of 160Not among the top eight

Portkey8 of 163Not among the top eight

LiteLLM7 of 160Not among the top eight

Arize AX5 of 162Not among the top eight

LangSmith5 of 161Not among the top eight

Credo AI5 of 160Not among the top eight

Helicone5 of 160Not among the top eight

Strac4 of 163Not among the top eight

Promptfoo4 of 160Not among the top eight

VerifyWise3 of 161Not among the top eight

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 Arize Phoenix. 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 16 of the 16 answers that named Arize Phoenix and are not a share of its labels.

Domains cited

toolradar.com8

infomineo.com7

respan.ai7

arize.comYour site6

peoplemanagingpeople.com6

strac.io6

aicompliancevendors.com5

dev.to5

langchain.com5

aiopsschool.com4

Fifty-three of the fifty-nine domain citations in answers naming Arize Phoenix came from somebody else's page.

Pages cited

toolradar.com/guides/best-ai-governance-tools8

infomineo.com/artificial-intelligence/best-ai-governance-tools-in-2026-top-platforms-compa7

peoplemanagingpeople.com/tools/best-ai-governance-tools6

strac.io/blog/best-ai-governance-tools-and-software6

langchain.com/resources/llm-observability-tools5

respan.ai/articles/ai-governance-tools5

aicompliancevendors.com/guides/ai-governance-tools-for-startups4

aiopsschool.com/blog/top-10-ai-governance-platforms-features-pros-cons-comparison4

Pages are listed as the models cited them.

Search and answers

arize.com is not in Google's top ten for any of the category's searches. In the answers, Arize Phoenix takes 0% of first choices and Credo AI takes 18%.

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In search

Google, US estimates

Position for “ai governance platform”

–

not in the top ten

Position for “ai governance platforms”

–

not in the top ten

Organic visits to its site: about 25,305 a month
Searches its site ranks for: 9,563 · 187 in the top three
Sites linking to it: 5,634
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

51 ads · 51 text · 10 shown in the last 30 days

First shown January 2025, as Arize AI, verified. Ads started 2025-11 to 2026-10: 40 in the year, 11 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 30 of 135 in AI governance

Segment leader

18%

Credo AI

First choices: 2 across its categories
Named in: 16 answers
Its own site cited: in 16 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

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Addresses on arize.com

2,393

subdomains included

Content

942

counted in the table below

Documentation

1,379

Product · Integration

8 · 9

Kind	Pages	Last 90 days	Latest	Categories named
Blog	584	52	2026-09-28	Observability, LLM gateways
Glossary or explainer	255	0	2023-12-14	LLM gateways
Comparison	31	2	2026-09-23
News or press	31	undated		Observability
Report or ebook	15	4	2026-07-30
Case study	11	8	2026-09-24
Template or tool	8	undated
Conference or event	5	0	2026-02-10
Podcast or video	2	1	2026-09-29

Most recent

2026-09-29Ai podcasts podcast or video
2026-09-28Jev llm judge consistency blog
2026-09-28Arize ax jev as a judge blog
2026-09-25Code mode in the browser blog
2026-09-24Jev remote evaluator blog
2026-09-24Atropos health llm observability case study

How it is countedHide how it is counted

Every page arize.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 Arize Phoenix

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

Phoenix 1

Follow Arize Phoenix

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

Arize Phoenix is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: leading open-source platform for AI observability and evaluation
arize.com
For: Developers
arize.com
Certifications: SOC 2PCIISOGDPRHIPAA
Customers named: WayfairPager DutyTripAdvisor
Not stated on the pages read: Price, starting price, free plan or trial, integrations, hosting

What Arize Phoenix's own pages state, read October 6, 2026: arize.com, arize.com/pricing, trust.arize.com, arize.com/products/ax, arize.com/customers. 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 Arize Phoenix'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 Arize Phoenix, 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 Arize Phoenix by email, built from the raw record of the edition. It shows:

where Arize Phoenix 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 Arize Phoenix, 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.