Mobile apps
Asked as “mobile app marketing platform”, and as “mobile app engagement and growth tool”, on behalf of a mid-market B2B software company. 24 first choices recorded across the direct, paraphrase, budget and scale prompts, six models each.
Standing · first-choice share
33%
Contested · Braze 17%
33Customer.io17Braze17Firebase33others
33% of first choices, contested.
The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all six models, for a mid-market B2B software company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
05
Meta Advantage+ App Campaigns4%10%10accepted challengernewNew since September 2026: not ranked then, 4% now.
Meta Advantage+ App Campaigns4%10%10accepted challengernewNew since September 2026: not ranked then, 4% now.Show the six products at 0%, ordered by negative rate
09
Google App Campaigns Lab in the set0%8%12accepted challengernewNew since September 2026: not ranked then, 0% now.
Google App Campaigns Lab in the set0%8%12accepted challengernewNew since September 2026: not ranked then, 0% now.The floor is 12 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 can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Google App Campaigns is made by Google, whose model Gemini 3.1 Pro is in the set. On the four share prompts that model made it the first choice zero times of 4; the other five models zero times of 20. Lab treatment is defined on the method page; the row is marked, not excluded.
All ten head-to-head pages: the top five products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02
03
0405
06
07
0809
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Customer.io33%
Customer.io33%02Braze17%
Braze17%03OneSignal12%
OneSignal12%04CleverTap4%
CleverTap4%05Meta Advantage+ App Campaigns4%
Meta Advantage+ App Campaigns4%06AppsFlyer0%
AppsFlyer0%07Branch0%
Branch0%08Adjust0%
Adjust0%09Google App Campaigns0%
Google App Campaigns0%10Airship0%
Airship0%11MoEngage0%
MoEngage0%What they warned about
Three of six models held their first choice under the paraphrase. Claude Opus 4.8, Gemini 3.1 Pro and Perplexity Sonar Pro changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Braze36%
9 of 25 labels negative · 5 of 6 models · 1 hard negative
“Also skip enterprise suites like Braze, Insider, and Iterable for now” Claude Opus 5, budget prompt
Gravy Analytics / Venntel
100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“The FTC finalized an order on January 14, 2025, prohibiting sensitive-location-data sales... Scrutinize proposals involving their data” GPT-6 Astra, negative prompt
InMarket100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“the FTC finalized an order restricting precise-location-data sales/sharing... Require current documentation of consent, data sources, and permitted uses before buying” GPT-6 Astra, negative prompt
Mobilewalla100%
2 of 2 labels negative · 2 of 6 models · 2 hard negative
“the FTC finalized an order banning sales of sensitive location data following allegations involving unlawful tracking and sales.” GPT-6 Astra, negative prompt
What they cite
Six of the six models returned a source list in this edition: six return the pages they cited.
Sites the answers cite
28 of 36 answers in this category came back with a source list, from 6 of 6 models: citations where the model returns them, or the search results it consulted. 491 links across 235 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 36 answers across every segment cited this index's own page for the category.
vendor site · AppsFlyer12 answers · 13 citations · 4 models
vendor site · Guideflow9 answers · 13 citations · 4 models
vendor site · OneSignal9 answers · 12 citations · 3 models
8 answers · 11 citations · 3 models
vendor site · Braze8 answers · 8 citations · 3 models
vendor site · InsiderOne6 answers · 6 citations · 3 models
vendor site · Gartner5 answers · 5 citations · 1 model
5 answers · 5 citations · 1 model
vendor site · Customer.io4 answers · 9 citations · 2 models
4 answers · 6 citations · 3 models
vendor site · Airbridge4 answers · 5 citations · 3 models
vendor site · Branch4 answers · 5 citations · 4 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
8 answers · 3 models
7 answers · 4 models
5 answers · 2 models
5 answers · 1 model
5 answers · 3 models
4 answers · 2 models
4 answers · 2 models
4 answers · 2 models
4 answers · 1 model
4 answers · 3 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best mobile app marketing platform”, “mobile app marketing platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Customer.io customer.io | 33% | 218 | 2,900 | 174 | 15,750 | $6,920 | 112 | |
| Braze braze.com | 17% | 540 | 27,100 | 6,395 | 55,552 | $13,112 | 59 | |
| Google parent site Firebase 17%, Google App Campaigns 0% | 17% | 28 | 90,500 | 3,437 | ||||
| OneSignal onesignal.com | 12% | 322 | 4,400 | 133 | 29,726 | 38 | ||
| Iterable iterable.com | 8% | 136 | 9,900 | 6,286 | 11,545 | $64,478 | 37 | |
| CleverTap clevertap.com | 4% | 214 | 1,000 | 24 | 20,153 | $12,750 | 20 | |
| Meta parent site Meta Advantage+ App Campaigns 4% | 4% | 42 | ||||||
| Pendo pendo.io | 4% | 409 | 12,100 | 761 | 19,185 | $3,609 | 93 | |
| AppsFlyer appsflyer.com | 0% | 173 | 9,900 | 202 | 107,974 | 29 | 2 | |
| Branch branch.io | 0% | 54 | 60,500 | 203,933 | 19,563 | 36 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (appsflyer.com, businessofapps.com, gartner.com). The first result for “best mobile app marketing platform” is reddit.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best mobile app marketing platform for a mid-market B2B software company?”Paraphrase“Which mobile app engagement and growth tool would you recommend to a mid-sized B2B software company?”Comparative“What are the top mobile app marketing platforms and how do they differ?”Budget-constrained“What is the best mobile app marketing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a mobile app marketing platform. What should we look at?”Negative“Which mobile app marketing platforms should I avoid or be cautious about?”
Claude Opus 5Customer.ioagainst: Adjust, Airship, AppsFlyer, Branch, Braze, CleverTap, IterableCustomer.ioHeldagainst: BrazeAppsFlyeragainst: Sensor TowerFirebase, OneSignalagainst: Braze, Insider, Iterable, PreAppsno first choiceagainst: AppLovin, Fetch Media, Tapjoy
Three alternatives
OneSignal, Pendo, UserpilotSix alternatives
Appcues, CleverTap, MoEngage, OneSignal, Pendo, UserpilotTwenty-one alternatives
Adjust, Airbridge, Airship, App Radar, AppFollow, AppLovin, AppTweak, Appfigures, Branch, Braze, CleverTap, Customer.io, Google Ads, Meta Advantage+ App Campaigns, MoEngage, Moloco, OneSignal, Singular, SplitMetrics, Tenjin, Unity AdsFour alternatives
Amplitude, App Store Connect, AppsFlyer Zero, Play ConsoleClaude Opus 4.8Braze, Customer.ioCleverTap, IterableChangedAppsFlyerFirebaseagainst: Braze, CleverTap, MoEngageno first choicenothing named
Seven alternatives
Amplitude, Appcues, AppsFlyer, Branch, Iterable, Mixpanel, PendoTwo alternatives
Amplitude, BrazeNine alternatives
Adjust, Airship, Branch, Braze, CleverTap, Kochava, MoEngage, OneSignal, SingularFive alternatives
Apple Search Ads, AppsFlyer, Branch, Google Analytics 4, OneSignalGPT-6 AstraCustomer.ioCustomer.ioHeldBrazeOneSignalBrazeagainst: Gravy Analytics / Venntel, InMarket, Mobilewalla
Three alternatives
AppsFlyer, Braze, OneSignalTwo alternatives
Braze, PendoEight alternatives
Adjust, Airship, AppTweak, AppsFlyer, Branch, CleverTap, MoEngage, OneSignalTwo alternatives
Airbridge, FirebaseThree alternatives
Airship, Customer.io, OneSignalGPT-5.6 SolCustomer.ioagainst: BrazeCustomer.ioHeldagainst: BrazeAppsFlyeragainst: Firebase, Google Analytics 4Firebaseno first choiceagainst: Google App Campaigns, Gravy Analytics / Venntel, InMarket, Kochava, Mobilewalla, Outlogic
Three alternatives
AppsFlyer, Branch, OneSignalTwo alternatives
OneSignal, PendoTwelve alternatives
Adjust, Airship, Amplitude, AppTweak, Apple Ads, Branch, Braze, CleverTap, Google App Campaigns, OneSignal, Sensor Tower, SingularThree alternatives
Apple Ads, Google App Campaigns, OneSignalGemini 3.1 ProIterable, OneSignalagainst: BrazePendoChangedagainst: BrazeAppsFlyer, Braze, Sensor TowerFirebaseagainst: Sensor TowerBrazeagainst: Mintegral, Outlogic
Four alternatives
Amplitude, Branch, HubSpot Marketing Hub, MixpanelThree alternatives
Amplitude, Appcues, OneSignalTwelve alternatives
Adjust, Airship, AppLovin, AppTweak, Apple Search Ads, Branch, CleverTap, Google App Campaigns, Meta Advantage+ App Campaigns, OneSignal, SplitMetrics, Unity AdsFour alternatives
AppFollow, Apple Search Ads, Branch, OneSignalFour alternatives
Airship, CleverTap, Iterable, MoEngagePerplexity Sonar ProBrazeCustomer.ioChangedagainst: MoEngageno first choiceMeta Advantage+ App Campaignsagainst: AppLovin, Braze, Liftoffno first choiceagainst: AppSumo, Google Ads, Meta Advantage+ App Campaigns, TikTok Ads
Two alternatives
Insider, MoEngageOne alternative
BrazeThree alternatives
AppTweak, Google App Campaigns, OneSignalBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Thirty-six rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:38 | yes | 29 | 63 s |
| Direct recommendation | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:39 | no | 0 | 19 s |
| Direct recommendation | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:50 | yes | 7 | 24 s |
| Direct recommendation | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:51 | yes | 5 | 29 s |
| Direct recommendation | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-09 16:41 | yes | 5 | 38 s |
| Direct recommendation | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:40 | yes | 20 | 5 s |
| Paraphrase | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:44 | yes | 22 | 55 s |
| Paraphrase | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:45 | no | 0 | 18 s |
| Paraphrase | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:53 | yes | 5 | 20 s |
| Paraphrase | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:53 | yes | 8 | 22 s |
| Paraphrase | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 16:59 | no | 0 | 23 s |
| Paraphrase | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:46 | yes | 17 | 6 s |
| Comparative | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:50 | yes | 44 | 150 s |
| Comparative | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:55 | yes | 32 | 179 s |
| Comparative | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:56 | yes | 12 | 52 s |
| Comparative | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 18:58 | yes | 15 | 63 s |
| Comparative | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:00 | yes | 6 | 33 s |
| Comparative | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:55 | yes | 20 | 9 s |
| Budget constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 16:58 | yes | 40 | 52 s |
| Budget constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 16:59 | no | 0 | 17 s |
| Budget constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 18:59 | yes | 4 | 19 s |
| Budget constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:00 | yes | 4 | 18 s |
| Budget constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 00:17 | no | 0 | 22 s |
| Budget constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 16:59 | yes | 20 | 6 s |
| Scale constrained | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:02 | yes | 32 | 68 s |
| Scale constrained | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:04 | no | 0 | 24 s |
| Scale constrained | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:02 | yes | 5 | 32 s |
| Scale constrained | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:04 | yes | 3 | 61 s |
| Scale constrained | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:01 | no | 0 | 39 s |
| Scale constrained | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:04 | yes | 20 | 8 s |
| Negative framing | Claude Opus 5 | claude-opus-5 | 2026-09-09 17:11 | yes | 38 | 161 s |
| Negative framing | Claude Opus 4.8 | claude-opus-4-8 | 2026-09-09 17:13 | yes | 44 | 56 s |
| Negative framing | GPT-6 Astra | gpt-6-astra | 2026-09-09 19:06 | yes | 7 | 39 s |
| Negative framing | GPT-5.6 Sol | gpt-5.6-sol | 2026-09-09 19:08 | yes | 7 | 53 s |
| Negative framing | Gemini 3.1 Pro | gemini-3.1-pro-preview | 2026-09-10 17:03 | no | 0 | 22 s |
| Negative framing | Perplexity Sonar Pro | sonar-pro | 2026-09-09 17:14 | yes | 20 | 10 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
HubSpot read as HubSpot Marketing Hub
Meta read as Meta Advantage+ App Campaigns
Meta (Facebook/Instagram) read as Meta Advantage+ App Campaigns
Meta (Facebook/Instagram) Ads read as Meta Advantage+ App Campaigns
Meta Ads read as Meta Advantage+ App Campaigns
TikTok read as TikTok Ads
Unresolved, counted raw
None awaiting human review.
Discontinued, still offered
No shut-down product was recommended here.