IT AI Index

Index › Products › Decagon · October 2026 Edition

1 category · Named, not ranked

Decagon

10Judge labels

3First choices

1Negative labels

7 / 14Models named it

1Category

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

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Decagon was named 4 times in AI IT agents, where Freshservice with Freddy AI led with 11%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market14 of 121

under the label threshold

Enterprise10 of 115

under the label threshold

In ai it agents · 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 Decagon 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 IT support agents	IT operations and endpoint	2%	14 of 121	0%	4	under 10 labels · led by Freshservice with Freddy AI at 11%

Movement

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

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	0	1	0	1
Perplexity Sonar	0	0	0	0
Grok 4.1 Fast	0	0	0	0
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	0	0	0
GLM 4.7 FlashX	0	0	0	0
MiniMax M2.5	1	0	0	1
GPT-6 Luna	0	0	0	0
Muse Glimmer 30B	0	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

Direct3 labels2

Paraphrase3 labels1

Comparative2 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative10 labels in all, every segment counted; 3 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.

“### 1. Decagon - Specifically designed for mid-market companies” MiniMax M2.5 · AI IT agents · direct prompt · first choice

“Recommended for mid-market teams seeking a focused AI agent with proven ROI” Mistral Small · AI IT agents · paraphrase prompt · alternative

“Decagon (Best for Complex B2B Technical Products)” Gemini 3.5 Flash · AI IT agents · direct 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 Decagon, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Decagon was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Zendesk AI Agents5 of 101Not among the top eight

Moveworks4 of 102Not among the top eight

ServiceNow Now Assist3 of 102Not among the top eight

Ada3 of 100Not among the top eight

Aisera3 of 100Not among the top eight

Forethought3 of 100Not among the top eight

Salesforce Agentforce2 of 101Not among the top eight

Atomicwork2 of 100Not among the top eight

Espressive2 of 100Not among the top eight

Freshservice2 of 100Not 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 Decagon. 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 10 of the 10 answers that named Decagon and are not a share of its labels.

Domains cited

eesel.ai7

monday.com4

moveworks.com4

usefini.com4

g2.com3

aimultiple.com2

bland.ai2

cygnet.one2

decagon.aiYour site2

designrush.com2

Thirty of the thirty-two domain citations in answers naming Decagon came from somebody else's page.

Pages cited

eesel.ai/blog/best-customer-service-ai3

aimultiple.com/ai-help-desk2

bland.ai/blog/best-ai-customer-support-tools-for-it-teams2

decagon.ai/blog/ai-customer-service2

designrush.com/agency/ai-companies/trends/b2b-ai-agents2

eesel.ai/blog/best-ai-helpdesk-for-enterprise2

jitbit.com/news/best-ai-helpdesk-solutions-20262

kayako.com/blog/best-ai-helpdesk-software2

Pages are listed as the models cited them.

Search and answers

decagon.ai is not in Google's top ten for any of the category's searches. In the answers, Decagon takes 2% of first choices and Freshservice with Freddy AI takes 11%.

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In search

Google, US estimates

Position for “ai it support agents”

–

not in the top ten

Position for “ai agent for it support”

–

not in the top ten

Searches for its name, Google: 60,500 a month (“decagon”)
AI search demand for its name, est.: 1,155 a month
Organic visits to its site: about 62,756 a month
Searches its site ranks for: 2,906 · 314 in the top three
Sites linking to it: 1,987
Paid Google search: 1 searches its ads show for, about 1,815 clicks and $47,716 a month (estimate)

Ads on GoogleDetailLess

120+ ads · 95 video, 20 text, 5 image · 34 shown in the last 30 days

First shown January 2026, as Decagon AI, Inc., verified. Ads started 2025-11 to 2026-10: 120 in the year.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 14 of 121 in AI IT agents

Segment leader

11%

Freshservice with Freddy AI

First choices: 3 across its categories
Named in: 10 answers
Its own site cited: in 10 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 decagon.ai

563

subdomains included

Content

481

counted in the table below

Documentation

Product · Integration

12 · 0

Kind	Pages	Last 90 days	Latest
Glossary or explainer	261	undated
Blog	161	37	2026-10-02
Case study	23	23	2026-09-25
Podcast or video	19	2	2026-07-27
Comparison	11	2	2026-09-02
Report or ebook	6	1	2026-09-09

Most recent

2026-10-02Decagon and open ai blog
2026-10-01Agent modules blog
2026-10-01Contact center analytics blog
2026-10-01Decagon chord voice model blog
2026-10-01Dialogues 2026 blog
2026-10-01Duet apprentice blog

How it is countedHide how it is counted

Every page decagon.ai 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. Read October 5, 2026.

Follow Decagon

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

Decagon is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: The AI concierge for every customer
decagon.ai
For: the enterprise
decagon.ai
Certifications: SOC 2 Type IIGDPRCCPAHIPAAEU AI ACTISO 27001:2022PCI DSS 4.0.1
Hosting: USAEU
Customers named: ChimeRipplingClassPassNotionEventbriteOuraBiltAffirm
Not stated on the pages read: Price, starting price, free plan or trial, integrations

What Decagon's own pages state, read October 5, 2026: decagon.ai, trust.decagon.ai, decagon.ai/product/aop, decagon.ai/case-studies, decagon.ai/product/integrations. 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 Decagon'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 Decagon, 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 Decagon by email, built from the raw record of the edition. It shows:

where Decagon 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 Decagon, 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.