Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 49 → 26 of 107
Google · 3 categories · RankedFirebase
44Judge labels
2First choices
8Negative labels
14 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Best standing
2% in In-app messaging for mid-market buyers
Rank 15 of 105 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 18% of its 11 labels there were negative.
What the models named instead of Firebase →By buyer segmentRead the same way at every buyer size.
Small business28 of 108
0%5 labels
under the label threshold
Mid-market15 of 105
2%11 labels
accepted challenger
Enterprise67 of 98
0%3 labels
under the label threshold
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 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 |
|---|---|---|---|---|---|---|---|
| In-app messaging and customer communications | Customer | 2% | 15 of 105 | 18% | 11 | accepted challenger | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Mobile apps | Marketing | 0% | 29 of 117 | 0% | 7 | under 10 labels · led by Customer.io at 17% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Experimentation and personalization | Marketing | 0% | 45 of 71 | 0% | 1 | under 10 labels · led by VWO at 27% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Firebase held within the floor in all three categories: no change cleared 11 points.
Best category · In-app messaging · by segment
Mid-market▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 22 → 15 of 96
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 32 → 64 of 97
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Mobile apps | 2% | 0% | ▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 11 → 29 of 117 |
| In-app messaging | 0% | 2% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 22 → 15 of 105 |
| Experimentation | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 45 of 71, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Firebase across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Firebase across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 1 | 1 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 1 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 0 | 3 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 1 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| 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
Direct3 labelsNone
Paraphrase3 labelsNone
Comparative18 labelsNone
Budget-constrained8 labels1
Scale-constrained6 labels1
Negative6 labelsNone
First choiceAlternativeMentionNegative44 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.
“OneSignal or Firebase are ideal starting points since they offer generous free tiers” Claude Haiku 4.5 · In-app messaging · budget prompt · first choice
“Many analytics tools like Firebase (free tier available) ... have built-in attribution that allows you to track referral links easily.” Qwen 3.7 Flash · Mobile apps · budget prompt · alternative
“Completely free for in-app messaging (via Cloud Messaging/FCM)... perfect for very small budgets but requires more dev work.” Grok 4.20 · In-app messaging · budget prompt · alternative
“OneSignal or Firebase would be the top recommendations due to their genuinely useful free tiers” MiniMax M2.5 · In-app messaging · budget 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.
“OneSignal/Firebase: Too lightweight for B2B product messaging” Kimi K2 · In-app messaging · paraphrase prompt · hard negative
“Firebase Realtime Database caps out at 200,000 concurrent connections. Sharding a database to get around this limit is a complex architectural nightmare.” Gemini 3.5 Flash · In-app messaging · negative prompt · soft negative
Named alongside
The products named in the same answers as Firebase, over the 44 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Firebase was named but was not.ShowHide
Named alongside
The products named in the same answers as Firebase, over the 44 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Firebase was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Firebase. 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 40 of the 44 answers that named Firebase and are not a share of its labels.
Domains cited
guideflow.com23
g2.com15
userpilot.com14
bizbot.com11
learn.g2.com11
onesignal.com10
mobileappdaily.com9
worldmetrics.org9
dupple.com8
knock.app8
118 of the 118 domain citations in answers naming Firebase came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Firebase stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Firebase stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 90,500 a month (“firebase”)
- AI search demand for its name, est.
- 3,437 a month
- Its own site
- It sits on Google's site (google.com), so there are no site figures for it alone
In answers
This editionShare of first choices
2%
rank 15 of 105 in in-app messaging
Segment leader
21%
Intercom
- First choices
- 2 across its categories
- Named in
- 44 answers
- Its own site cited
- in 40 of the answers that named it
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.
Names read as Firebase
What the judge wrote, as written, with how often. The vendor table decides that these count as Firebase; a claim can dispute any of them.
Firebase (Google) 3Firebase (by Google) 2Firebase (In‑App Messaging) 1OneSignal/Firebase 1
Follow Firebase
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.
The company
Google is the company behind Firebase.ShowHide
The company
Google is the company behind Firebase.
ShowHideOn record
Wikidata- Website
- google.com
- Headquarters
- Mountain View, California, United States
- Founded
- 1998
- Ownership
- Part of Alphabet Inc.
- Also from Google
- Adometry, Attribution 360, BigQuery, Google ADH, Google Ad Manager, Google AdMob, Google AdSense, Google Address Validation and 81 more
Fetched September 14, 2026, with a correction applied. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata
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'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, 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 Firebase by email, built from the raw record of the edition. It shows:
- where Firebase 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 Firebase, 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.