GTM AI Index

Index › Products › AmplifAI · October 2026 Edition

1 category · Named, not ranked

AmplifAI

20Judge labels

2First choices

4Negative labels

8 / 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

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. AmplifAI was named 8 times in Contact center QA, where EvaluAgent led with 28%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business78 of 84

under the label threshold

Mid-market13 of 81

under the label threshold

Enterprise10 of 80

under the label threshold

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 AmplifAI 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
Contact center quality assurance	Customer	2%	13 of 81	12%	8	under 10 labels · led by EvaluAgent at 28%

Movement

This is the first edition on this tier, so no move can be computed for AmplifAI 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 AmplifAI 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	Negative	Labels
Claude Haiku 4.5	0	0	1	1	2
GPT-5.4 mini	0	0	0	0	0
Gemini 3.5 Flash	0	0	0	0	0
Perplexity Sonar	0	1	1	0	2
Grok 4.1 Fast	0	0	0	0	0
Mistral Small	0	0	1	0	1
DeepSeek V4 Flash	0	1	0	0	1
Llama 4 Maverick	0	0	0	0	0
Qwen 3.7 Flash	0	0	0	0	0
Kimi K2	0	0	0	0	0
GLM 4.7 FlashX	1	0	1	0	2
MiniMax M2.5	0	0	0	0	0
GPT-6 Luna	0	0	0	0	0
Muse Glimmer 30B	0	0	0	0	0

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

Direct9 labels2

Paraphrase1 labelNone

Comparative5 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative4 labelsNone

First choiceAlternativeMentionNegative20 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.

“I'd recommend starting with Balto or AmplifAI if you want AI-powered solutions” GLM 4.7 FlashX · Contact center QA · direct prompt · first choice

“Best if you want broader AI-driven QA at scale: Level AI or AmplifAI” Perplexity Sonar · Contact center QA · direct prompt · alternative

“Best for moving from manual to 100% automated scoring” DeepSeek V4 Flash · Contact center QA · 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.

“AmplifAI may be overkill for smaller operations or those just starting QA, with implementation and data integration complexity that could be high and higher cost” Claude Haiku 4.5 · Contact center QA · negative prompt · soft negative

Named alongside

The products named in the same answers as AmplifAI, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and AmplifAI was named but was not.

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ProductSame answerTook the first choice insteadHead to head

NICE CXone Quality Management15 of 202Not among the top eight

Observe.AI11 of 200Not among the top eight

Talkdesk9 of 200Not among the top eight

EvaluAgent8 of 203Not among the top eight

MaestroQA8 of 201Not among the top eight

Salesforce Service Cloud7 of 204Not among the top eight

Balto7 of 201Not among the top eight

Genesys Cloud CX7 of 201Not among the top eight

Level AI6 of 200Not among the top eight

Scorebuddy5 of 201Not 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 AmplifAI. 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 20 of the 20 answers that named AmplifAI and are not a share of its labels.

Domains cited

guideflow.com19

amplifai.comYour site18

learn.g2.com18

cloudtalk.io16

g2.com13

balto.ai10

dialpad.com10

voxjar.com9

worldmetrics.org9

solidroad.com8

112 of the 130 domain citations in answers naming AmplifAI came from somebody else's page.

Pages cited

guideflow.com/blog/contact-center-quality-assurance-software19

amplifai.com/blog/call-center-quality-assurance-software16

cloudtalk.io/blog/best-call-center-quality-assurance-software-based-on-g216

learn.g2.com/best-contact-center-quality-assurance-software16

dialpad.com/blog/contact-center-quality-management-software10

g2.com/categories/contact-center-quality-assurance9

voxjar.com/best-call-center-quality-assurance-software-solutions9

technologyadvice.com/blog/information-technology/contact-center-quality-assurance-software8

Pages are listed as the models cited them.

Search and answers

amplifai.com ranks 8 on Google for the category's searches. In the answers, AmplifAI takes 2% of first choices and EvaluAgent takes 28%.

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In search

Google, US estimates

Position for “contact center quality assurance tool”

Position for “best contact center quality assurance tool”

–

not in the top ten

In answers

This edition

Share of first choices

rank 13 of 81 in Contact center QA

Segment leader

28%

EvaluAgent

First choices: 2 across its categories
Named in: 20 answers
Its own site cited: in 20 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.

Follow AmplifAI

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

where AmplifAI 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 AmplifAI, 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.