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IT AI Index
Index › Products › Ada · October 2026 Edition
2 categories · Named, not ranked

Ada

10Judge labels
0First choices
2Negative labels
7 / 14Models named it
2Categories
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. Ada was named 6 times in AI IT agents and 1 other category, 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.
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 Ada 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
AI IT support agentsIT operations and endpoint0%36 of 1210%5under 10 labels · led by Freshservice with Freddy AI at 11%
Enterprise AI assistantsData platform0%93 of 1450%1under 10 labels · led by ChatGPT at 25%

Movement

This is the first edition on this tier, so no move can be computed for Ada 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 Ada 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 Sonar01001
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.501001
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
Direct2 labelsNone
Paraphrase4 labelsNone
Comparative1 labelNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 0 of the 0 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.

“Ada: If you have very high volume (>100K conversations/month) and enterprise budget” MiniMax M2.5 · AI IT agents · paraphrase prompt · alternative
“Choose Ada if you want more no-code control over agent behavior” Perplexity Sonar · AI IT agents · direct prompt · alternative
“The Best for Agentic Automation (Action-Oriented) Ada” Qwen 3.7 Flash · AI IT agents · paraphrase 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 Ada, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ada was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Intercom Fin6 of 101Not among the top eight
Zendesk AI Agents6 of 101Not among the top eight
Moveworks3 of 101Not among the top eight
ServiceNow Now Assist3 of 101Not among the top eight
Decagon3 of 100Not among the top eight
Forethought2 of 100Not among the top eight
Freshservice2 of 100Not among the top eight
Kore.ai2 of 100Not among the top eight
Sierra2 of 100Not among the top eight
Freshservice with Freddy AI1 of 101Not 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 Ada. 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 9 of the 10 answers that named Ada and are not a share of its labels.

Domains cited

eesel.ai5
zendesk.com5
monday.com4
usefini.com4
aimultiple.com3
blog.hubspot.com3
fin.ai3
g2.com3
intercom.com3
kayako.com3

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

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Ada stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
201,000 a month (“ada”)
AI search demand for its name, est.
50,587 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 36 of 121 in AI IT agents
Segment leader
11%
Freshservice with Freddy AI
First choices
0 across its categories
Named in
10 answers
Its own site cited
No site on file to match

Search figures are US estimates from DataForSEO, read September 28, 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.

Follow Ada

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.

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

  • where Ada 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 Ada, 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.

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.