GTM AI Index

Index › Vendors › LivePerson · September 2026 Edition

1 category · Named, not ranked

LivePerson

5Judge labels

0First choices

2Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. LivePerson was named 1 time in Support chatbots, where Intercom led with 35%. 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-market90 of 106

under the label threshold

Enterprise41 of 122

under the label threshold

In support chatbots · 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 LivePerson 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
Chatbots and conversational AI for support	Customer	0%	90 of 106	100%	1	under 10 labels · led by Intercom at 35%

Movement

This is the first edition on this tier, so no move can be computed for LivePerson yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated LivePerson across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Negative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	1	1
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative2 labelsNone

Budget-constrained1 labelNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative5 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.

No positive label carried a quote.

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.

“20-30% of users report repeating info or no easy escalation (e.g., Drift, LivePerson complaints)” Grok 4.1 Fast · Support chatbots · negative prompt · soft negative

Named alongside

The products named in the same answers as LivePerson, over the 5 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and LivePerson was named but was not.

ProductSame answerTook the first choice insteadHead to head

Intercom5 of 51Not in the top three

Ada3 of 50Not in the top three

Zendesk2 of 51Not in the top three

Zendesk AI2 of 51Not in the top three

Botpress2 of 50Not in the top three

Cognigy2 of 50Not in the top three

Drift2 of 50Not in the top three

Kore.ai2 of 50Not in the top three

ManyChat2 of 50Not in the top three

Rasa2 of 50Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 LivePerson. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 2 of the 5 answers that named LivePerson and are not a share of its labels.

Domains cited

ada.cx1

botpress.com1

capterra.com1

chatty.net1

comm100.com1

crescendo.ai1

docs.kore.ai1

eesel.ai1

fin.ai1

g2.com1

Ten of the ten domain citations in answers naming LivePerson came from somebody else's page.

Pages cited

ada.cx/lp/ai-customer-support1

botpress.com/blog/customer-service-chatbot-platforms1

capterra.com/resources/customer-service-chatbot-platforms1

chatty.net/blog/chatbot-for-customer-support1

comm100.com/blog/best-enterprise-ai-chatbots1

crescendo.ai/blog/best-enterprise-chatbots-for-live-support1

docs.kore.ai/ai-for-service1

eesel.ai/blog/chatbot-for-enterprises1

Pages are listed as the models cited 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 LivePerson'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 LivePerson, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at liveperson.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.