Index › Products › Gong · October 2026 Edition

1 category · Named, not ranked

Gong

12Judge labels

1First choices

1Negative labels

8 / 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

6 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Gong was named 6 times in Enterprise AI, where ChatGPT led with 25%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business95 of 118

under the label threshold

Mid-market7 of 145

under the label threshold

Enterprise22 of 132

under the label threshold

In enterprise ai · 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 Gong 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
Enterprise AI assistants	Data platform	2%	7 of 145	0%	6	under 10 labels · led by ChatGPT at 25%

Movement

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

Direct11 labels1

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative12 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.

“For most mid-market B2B companies, Gong stands out for sales-focused teams” Mistral Small · Enterprise AI · direct prompt · first choice

“Gong is the best assistant for call intelligence and rep coaching” Claude Haiku 4.5 · Enterprise AI · direct prompt · alternative

“e.g., Gong for sales calls, a dedicated AI helpdesk for support” Kimi K2 · Enterprise AI · direct prompt · alternative

“For sales-heavy B2B, Salesforce Einstein or Gong.” Grok 4.1 Fast · Enterprise AI · 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 Gong, over the 12 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Gong was named but was not.

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ProductSame answerTook the first choice insteadHead to head

ChatGPT8 of 123Not among the top eight

Microsoft 365 Copilot5 of 122Not among the top eight

Microsoft Copilot5 of 122Not among the top eight

Glean4 of 121Not among the top eight

Apollo.io4 of 120Not among the top eight

Salesforce Einstein4 of 120Not among the top eight

HubSpot Breeze AI3 of 121Not among the top eight

Clay3 of 120Not among the top eight

1mind2 of 121Not among the top eight

Apollo2 of 120Not 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 Gong. 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 12 of the 12 answers that named Gong and are not a share of its labels.

Domains cited

monday.com10

resources.rework.com7

prezent.ai6

g2.com5

getvoip.com5

slite.com5

xpander.ai5

articsledge.com4

folk.app4

wonderchat.io4

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

Pages cited

monday.com/blog/crm-and-sales/enterprise-ai-tools-for-b2b-sales-workflows8

prezent.ai/blog/best-b2b-ai-tools6

getvoip.com/blog/ai-sales-assistants5

slite.com/learn/ai-assistants-for-business5

xpander.ai/blog/top-enterprise-personal-ai-assistant-platforms5

articsledge.com/post/ai-tools-b2b-marketing4

resources.rework.com/tools/ai-tools/best-ai-tools-for-b2b-20264

resources.rework.com/tools/ai-tools/best-ai-tools-for-enterprise-20264

Pages are listed as the models cited them.

Search and answers

Where Gong 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: 74,000 a month (“gong”)
AI search demand for its name, est.: 13,361 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 7 of 145 in Enterprise AI

Segment leader

25%

ChatGPT

First choices: 1 across its categories
Named in: 12 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 Gong

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

where Gong 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 Gong, 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.