Every category where a model named Talkable 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
Referral and partner programs	Partner and channel	0%	27 of 107	17%	12	accepted challenger
Loyalty, advocacy and referrals	Marketing	0%	34 of 124	22%	9	under 10 labels · led by Smile.io at 24%

Movement

This is the first edition on this tier, so no move can be computed for Talkable 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 Talkable across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	1	1	0	2
GPT-5.4 mini	0	1	1	2
Gemini 3.5 Flash	1	0	1	2
Perplexity Sonar	1	0	0	1
Grok 4.1 Fast	1	0	0	1
Mistral Small	1	1	0	2
DeepSeek V4 Flash	3	1	1	5
Llama 4 Maverick	0	1	0	1
Qwen 3.7 Flash	0	1	0	1
Kimi K2	1	0	1	2
GLM 4.7 FlashX	0	1	0	1
MiniMax M2.5	1	0	0	1

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

Paraphrase0 labelsNone

Comparative33 labels2not counted in share

Budget-constrained11 labels4

Scale-constrained3 labelsNone

Negative20 labelsNone

First choiceAlternativeMentionNegative69 labels in all, every segment counted; 4 of the 6 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.

“Talkable is a strong choice when loyalty is connected to customer acquisition, especially referral marketing and advocacy” Claude Haiku 4.5 · Loyalty · comparative prompt · alternative

“Recommended tools generally receiving good marks include: Talkable, Extole, Friendbuy (for enterprise)” DeepSeek V4 Flash · Referrals · negative prompt · alternative

“Touted as the strongest *referral revenue engine* \u2013 A/B testing, fraud prevention, optimization.” DeepSeek V4 Flash · Loyalty · comparative prompt · alternative

“Build a Referral Program (using *ReferralCandy* or *Talkable* for B2C” Gemini 3.5 Flash · Loyalty · comparative 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.

“heavily e-commerce/DTC/Shopify-oriented” DeepSeek V4 Flash · Referrals · direct prompt · hard negative

“Enterprise Referral Engines (e.g., Talkable, Friendbuy) ... The Caution: High ROI Thresholds.” Gemini 3.5 Flash · Loyalty · negative prompt · soft negative

“tools like Talkable are more robust, but they're generally not budget-friendly” GPT-5.4 mini · Referrals · budget prompt · soft negative

“Talkable — Mixed Reviews, Management Issues” Kimi K2 · Loyalty · negative prompt · soft negative

Named alongside

The products named in the same answers as Talkable, over the 69 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Talkable was named but was not.

ProductSame answerTook the first choice insteadHead to head

Friendbuy53 of 692Not in the top three

Extole49 of 6910Not in the top three

ReferralCandy46 of 698Not in the top three

Ambassador38 of 691Not in the top three

Yotpo27 of 691Not in the top three

Referral Rock26 of 693Not in the top three

Mention Me26 of 690Not in the top three

Smile.io22 of 694Not in the top three

GrowSurf22 of 693Not in the top three

Referral Factory22 of 693Not 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 Talkable. 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 15 of the 69 answers that named Talkable and are not a share of its labels.

Domains cited

openloyalty.io6

talkable.comYour site6

extole.com5

tremendous.com5

capterra.com4

logicalcommander.com4

referral-factory.com4

referralcandy.com4

bubblehouse.com3

get.talkable.comYour site3

Thirty-five of the forty-four domain citations in answers naming Talkable came from somebody else's page.

Pages cited

tremendous.com/blog/referral-marketing-tools5

capterra.com/referral-software4

openloyalty.io/insider/best-referral-software4

bubblehouse.com/blog/best-loyalty-referrals-platforms-in-2026-top-rewards-software-for-dtc3

extole.com/blog/retail-referral-software3

linkjolt.io/blog/best-referral-marketing-software3

logicalcommander.com/post/best-referral-program-software-13

moosend.com/blog/referral-marketing-software3

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 Talkable'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 Talkable, 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 talkable.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.