| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Mobile apps | Marketing | 2% | 19 of 117 | 0% | 2 | under 10 labels · led by Customer.io at 17% | ▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Mobile marketing and push | Marketing | 0% | 80 of 80 | 56% | 9 | under 10 labels · led by OneSignal at 45% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| In-app messaging and customer communications | Customer | 0% | 73 of 105 | 50% | 2 | under 10 labels · led by Intercom at 21% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Mobile apps | 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 55 → 19 of 117 |
| Mobile & push | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 24 → 80 of 80 |
| In-app messaging | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 81 → 73 of 105 |
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
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 1 | 0 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 1 | 1 | 2 |
| Grok 4.20 | 0 | 1 | 0 | 2 | 3 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 1 | 2 |
Verbatim evidence the judge attached to positive labels.
“Firebase & OneSignal (Free): For analytics, tracking user behavior, and sending free push notifications.” Gemini 3.5 Flash · Mobile apps · budget prompt · first choice
“| Firebase Cloud Messaging | Free | Push notifications |” DeepSeek V4 Flash · Mobile apps · budget prompt · alternative
“FCM: Completely free unlimited push (Android/iOS/web)” Grok 4.20 · Mobile & push · budget prompt · alternative
“100% free for a generous usage tier.” DeepSeek V4 Flash · In-app messaging · budget prompt · alternative
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.
“cheapest at $0 for unlimited delivery but it requires engineering effort to add segmentation and orchestration” Muse Glimmer 30B · Mobile & push · budget prompt · soft negative
“lacks the marketing-specific automation (segments, templates) found in Braze or OneSignal” Qwen 3.7 Flash · Mobile & push · comparative prompt · soft negative
“essentially free for push notifications, but it is not a full marketing platform” Perplexity Sonar · Mobile & push · budget prompt · soft negative
“get "no first choice" flags in AI indexes for lacking marketing features” Grok 4.20 · Mobile & push · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 31 of the 33 answers that named Firebase Cloud Messaging and are not a share of its labels.
No domain is on file for Firebase Cloud Messaging, so its own site is not marked.
Pages are listed as the models cited them.
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.
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.
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 Cloud 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 Cloud Messaging, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Firebase Cloud Messaging by email, built from the raw record of the edition. It shows: