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GTM AI Index
Index › Products › EvaluAgent · October 2026 Edition
1 category · Ranked

EvaluAgent

109Judge labels
28First choices
5Negative labels
14 / 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.
Best standing
28% in Contact center QA for mid-market buyers
Rank 1 of 81 in the mid-market standingaccepted challenger
6 of 14 models made it the first choice on the direct prompt; 4% of its 45 labels there were negative.
What the models named instead of EvaluAgent →
By buyer segmentStrongest at mid-market.
In contact center qa · 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 EvaluAgent 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
Contact center quality assuranceCustomer28%1 of 814%45accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for EvaluAgent 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 EvaluAgent 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 4.511103
GPT-5.4 mini02002
Gemini 3.5 Flash13004
Perplexity Sonar02002
Grok 4.1 Fast13206
Mistral Small21003
DeepSeek V4 Flash12115
Llama 4 Maverick20103
Qwen 3.7 Flash10001
Kimi K212003
GLM 4.7 FlashX21104
MiniMax M2.512104
GPT-6 Luna20013
Muse Glimmer 30B02002

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
Direct22 labels9
Paraphrase14 labels4
Comparative20 labels7not counted in share
Budget-constrained30 labels14
Scale-constrained12 labels1
Negative11 labels4not counted in share
First choiceAlternativeMentionNegative109 labels in all, every segment counted; 28 of the 39 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.

“For most companies with limited budgets, EvaluAgent at $35 per user offers the best balance of affordability and functionality.” Claude Haiku 4.5 · Contact center QA · budget prompt · first choice
“My default pick: evaluagent—if you already have a contact-center platform and want to add QA without replacing it.” GPT-6 Luna · Contact center QA · direct prompt · first choice
“EvaluAgent: A mid-market blended AI + human QA platform with autoQM, conversation intelligence, and scorecard builder.” Llama 4 Maverick · Contact center QA · paraphrase prompt · first choice
“EvaluAgent and Scorebuddy are often highlighted as the most cost-effective and scalable options” Mistral Small · Contact center QA · 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.

“Users report repeated friction integrating with platforms like Amazon Connect, despite vendor instructions” DeepSeek V4 Flash · Contact center QA · negative prompt · soft negative
“limited dashboard customization for evaluagent” GPT-6 Luna · Contact center QA · negative prompt · soft negative

Named alongside

The products named in the same answers as EvaluAgent, over the 109 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and EvaluAgent was named but was not.
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ProductSame answerTook the first choice insteadHead to head
NICE CXone Quality Management26 of 1091Not among the top eight
Observe.AI24 of 1092Not among the top eight
Voxjar21 of 1095Not among the top eight
Dialpad19 of 1095Not 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 EvaluAgent. 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 109 of the 109 answers that named EvaluAgent and are not a share of its labels.

Search and answers

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

Google, US estimates
Position for “contact center quality assurance tool”
–
not in the top ten
Position for “best contact center quality assurance tool”
–
not in the top ten
Searches for its name, Google
170 a month (“evaluagent”)
AI search demand for its name, est.
3 a month
Organic visits to its site
about 326 a month
Searches its site ranks for
389 · 7 in the top three
Sites linking to it
1,252
Paid Google search
No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess
21 ads · 15 text, 5 image, 1 video · 11 shown in the last 30 days

First shown February 2025, as SocialRel8 Ltd, verified. Ads started 2025-11 to 2026-10: 17 in the year, 4 before.

On Google's pages: 1 2 3 4

In answers

This edition
Share of first choices
28%
rank 1 of 81 in Contact center QA
First choices
28
across its categories
Named in
109 answers
Its own site cited
in 109 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 evaluagent.com
834
subdomains included
Content
201
counted in the table below
Documentation
0
Product · Integration
48 · 11
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Comparison71562026-08-26
News or press5622026-09-17Contact center QA
Case study2002026-05-05
Glossary or explainer1802023-10-11
Conference or event1702025-10-16
Webinar or virtual event902023-10-18
Blog802026-04-20
Report or ebook1undated
Podcast or video1undated

Most recent

How it is countedHide how it is counted

Every page evaluagent.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 October 5, 2026.

Names read as EvaluAgent

What the judge wrote, as written, with how often. The vendor table decides that these count as EvaluAgent; a claim can dispute any of them.
evaluagent 14Evaluagent 2

Follow EvaluAgent

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

  • where EvaluAgent 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 EvaluAgent, 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 evaluagent.com 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.

Badges

Wins only: a badge exists where EvaluAgent is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

AI models recommend EvaluAgent first in Contact center quality assurance this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.

Wide · 320 × 104 Website, beside other badges
AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/customer/contact-center-quality-assurance/"><img src="https://gtm-ai-index.com/badges/2026-10/evaluagent--contact-center-quality-assurance-wide.svg" alt="AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Contact center quality assurance standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/customer/contact-center-quality-assurance/"><img src="https://gtm-ai-index.com/badges/2026-10/evaluagent--contact-center-quality-assurance-square.svg" alt="AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Contact center quality assurance standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index
Show the code
<a href="https://gtm-ai-index.com/customer/contact-center-quality-assurance/"><img src="https://gtm-ai-index.com/badges/2026-10/evaluagent--contact-center-quality-assurance-compact.svg" alt="AI models' first choice in Contact center quality assurance, October 2026 Edition, GTM AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Contact center quality assurance standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.