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Index › Products › Optimizely Content · October 2026 Edition
Optimizely · 1 category · Named, not ranked

Optimizely Content

15Judge labels
2First choices
0Negative labels
5 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, 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. Optimizely Content was named 5 times in Content marketing, where HubSpot Content Hub led with 33%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In content marketing · 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 Optimizely Content 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 rateLabelsQuadrantSince September 2026
Content marketing platformsMarketing2%17 of 1350%5under 10 labels · led by HubSpot Content Hub at 33%newNew since September 2026: not ranked then, 2% now.

Movement

Since September 2026, Optimizely Content held within the floor in its one category: no change cleared 11 points.

Best category · Content marketing · by segment

Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 43 of 120, unchanged
Mid-marketnewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 15 of 134, unchanged
EnterprisenewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 10 of 111, unchanged

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Content marketing0%2%newNew since September 2026: not ranked then, 2% now.New this editionRank 17 of 135, 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 Optimizely Content across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick10203
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101

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 labels2
Paraphrase0 labelsNone
Comparative6 labelsNone
Budget-constrained3 labelsNone
Scale-constrained2 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 2 of the 2 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.

“Optimizely Content - Best for B2B or B2C teams that need high-quality, human-created content at scale.” Llama 4 Maverick · Content marketing · direct prompt · first choice

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 Optimizely Content, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Optimizely Content was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Contently10 of 151Not among the top eight
Adobe Experience Manager5 of 152Not among the top eight
HubSpot Content Hub5 of 152Not among the top eight
Uberflip3 of 151Not among the top eight
CoSchedule Marketing Suite3 of 150Not among the top eight
Sprinklr Marketing3 of 150Not among the top eight
StoryChief3 of 150Not among the top eight
Adobe Experience Cloud2 of 151Not among the top eight
Enji2 of 151Not among the top eight
Jasper2 of 150Not 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 Optimizely Content. 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 15 of the 15 answers that named Optimizely Content and are not a share of its labels.

Domains cited

blog.hubspot.com15
trysight.ai9
thecmo.com7
gitnux.org6
dupple.com5
gartner.com5
worldmetrics.org5
g2.com4
brafton.com3
coremedia.com3

No domain is on file for Optimizely Content, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

Follow Optimizely Content

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

Optimizely is the company behind Optimizely Content.
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On record

Wikidata
Headquarters
San Francisco, United States
Founded
2010
Employees
about 350

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

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 Optimizely Content'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 Optimizely Content, 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 Optimizely Content by email, built from the raw record of the edition. It shows:

  • where Optimizely Content 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 Optimizely Content, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.