GTM AI Index

Index › Vendors › Omnibound · September 2026 Edition

2 categories · Named, not ranked

Omnibound

9Judge labels

1First choices

0Negative labels

7 of 12Models named it

2Categories

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, 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. Omnibound was named 6 times in AI visibility and 1 other category, where Otterly led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business78 of 107

under the label threshold

Mid-market16 of 119

under the label threshold

Enterprise60 of 111

under the label threshold

In ai visibility · 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 Omnibound 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
AI visibility and answer engine tracking tools	Marketing	2%	16 of 119	0%	2	under 10 labels · led by Otterly at 20%
Content marketing platforms	Marketing	0%	29 of 159	0%	4	under 10 labels · led by HubSpot Content Hub at 30%

Movement

This is the first edition on this tier, so no move can be computed for Omnibound 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 Omnibound across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	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	1	1
Grok 4.1 Fast	0	0	0
Mistral Small	0	1	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	1	1
Qwen 3.7 Flash	1	1	2
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	1	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

Direct7 labels1

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained2 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative9 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.

“The Best Overall for Conversion & Strategy: Omnibound ... is currently the strongest choice for B2B.” Qwen 3.7 Flash · AI visibility · direct prompt · first choice

“Omnibound if your top priority is B2B content that is tightly tied to pipeline and AI search visibility” Perplexity Sonar · Content marketing · direct prompt · alternative

“an AI visibility platform that helps B2B teams create content grounded in real buyer context and tied to pipeline” Llama 4 Maverick · Content marketing · direct prompt · alternative

“Omnibound | B2B buyer-context content, continuous monitoring | Custom” MiniMax M2.5 · AI visibility · scale 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 Omnibound, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Omnibound was named but was not.

ProductSame answerTook the first choice insteadHead to head

HubSpot Content Hub4 of 93Not in the top three

HubSpot Marketing Hub2 of 92Not in the top three

Profound2 of 92Not in the top three

Peec AI2 of 90Not in the top three

Scrunch2 of 90Not in the top three

Semrush AI Visibility Toolkit2 of 90Not in the top three

Foleon1 of 91Not in the top three

Ahrefs Brand Radar1 of 90Not in the top three

Buffer1 of 90Not in the top three

Canva1 of 90Not 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 Omnibound. 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 1 of the 9 answers that named Omnibound and are not a share of its labels.

Domains cited

aigrowthagent.co1

blog.hubspot.com1

contentoo.com1

coseom.com1

findstack.com1

gartner.com1

gitnux.org1

joinbreaker.ai1

omnibound.aiYour site1

pipeline.zoominfo.com1

Nine of the ten domain citations in answers naming Omnibound came from somebody else's page.

Pages cited

aigrowthagent.co/articles/best-ai-content-marketing-platforms1

aigrowthagent.co/articles/best-content-marketing-platforms-20261

blog.hubspot.com/marketing/content-marketing-tools1

blog.hubspot.com/website/content-marketing-platform1

contentoo.com/blog/marketing-content-operation-solutions1

coseom.com/best-b2b-marketing-tools1

findstack.com/software/content-marketing/s/mid-market1

gartner.com/reviews/market/content-marketing-platforms1

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 Omnibound'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 Omnibound, 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 omnibound.ai 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.