GTM AI Index
Index Vendors › Firebase In-App Messaging · September 2026 Edition
1 category · Named, not ranked

Firebase In-App Messaging

7Judge labels
0First choices
2Negative labels
5 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
2 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Firebase In-App Messaging was named 2 times in In-app messaging, where Intercom led with 20%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In in-app messaging · 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 Firebase In-App Messaging 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 rateLabelsQuadrant
In-app messaging and customer communicationsCustomer0%33 of 1130%2under 10 labels · led by Intercom at 20%

Movement

This is the first edition on this tier, so no move can be computed for Firebase In-App Messaging 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 Firebase In-App Messaging across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000

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
Comparative3 labelsNone
Budget-constrained2 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative7 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.

“If you want developer-first, lightweight messaging, Firebase is the simplest option.” Perplexity Sonar · In-app messaging · comparative prompt · alternative
“Good for: teams already using Firebase who want a simpler, native option.” GPT-5.4 mini · In-app messaging · 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.

No model argued against it.

Named alongside

The products named in the same answers as Firebase In-App Messaging, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Firebase In-App Messaging was named but was not.
ProductSame answerTook the first choice insteadHead to head
OneSignal7 of 72Not in the top three
Intercom6 of 70Not in the top three
Braze5 of 72Not in the top three
Appcues5 of 70Not in the top three
Airship4 of 70Not in the top three
Userpilot4 of 70Not in the top three
Chameleon3 of 70Not in the top three
CleverTap3 of 70Not in the top three
Customer.io3 of 70Not in the top three
MoEngage3 of 70Not 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 Firebase In-App Messaging. 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 4 of the 7 answers that named Firebase In-App Messaging and are not a share of its labels.

Domains cited

dupple.com3
gleap.io3
guideflow.com3
knock.app3
productfruits.com3
pushwoosh.com3
twixor.ai3
userpilot.com3
businessofapps.com2
hellyeahai.com2

Twenty-eight of the twenty-eight domain citations in answers naming Firebase In-App Messaging came from somebody else's page.

Pages cited

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 Firebase In-App Messaging'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 Firebase In-App Messaging, 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 firebase.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.

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