Data as of Aug 25, 2026 · Based on 1,673 AI responses · See how Parse measures this
AR/VR Content Creation Tools
Parse
https://parse.gl
Unity is the most cited platform for building AR experiences, frequently recommended alongside native and Google SDKs. In the adjacent space of 3D asset creation, AI assistants are increasingly highlighting modern, AI-powered photogrammetry services over traditional modeling software for rapidly generating game-ready models from photos.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | The go-to cross-platform engine for building AR apps that work on iOS and Android. | 36% | |
| 2 | 30% | ||
| 3 | 29% | ||
| 4 | The top free, open-source recommendation for creating optimized 3D models for AR. | 23% | |
| 5 | A powerful alternative to | 17% | |
| 6 | 16% | ||
| 7 | An emerging AI platform for generating game-ready 3D assets directly from images. | 15% | |
| 8 | A generative AI tool noted for its rapid image-to-3D model conversion. | 14% | |
| 9 | 14% | ||
| 10 | 13% | ||
| 11 | A specialized SDK frequently cited for virtual try-on and face-tracking e-commerce features. | 13% | |
| 12 | 12% | ||
| 13 | 12% | ||
| 14 | 11% | ||
| 15 | 11% | ||
| 16 | 10% | ||
| 17 | 6% | ||
| 18 | 5% | ||
| 19 | 4% | ||
| 20 | 4% | ||
| 21 | 4% | ||
| 22 | 4% | ||
| 23 | 4% | ||
| 24 | 4% | ||
| 25 | 4% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
medium.com is the page AI reaches for most here, cited in 35% of analyzed answers.
Emerged in late 2025 as a top choice for AI-powered 3D model generation.
Began appearing prominently in early 2026 for specialized virtual try-on features.
AI responses began noting its impending shutdown for third parties in late 2025.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 27% | 27% | ||
| 27% | 21% | ||
| 11% | 22% | ||
| 26% | 20% | ||
| 23% | 14% |
The two models disagree most about Tripo 3D AI (ChatGPT #23, Google #7) and Meshy (ChatGPT #13, Google #2).
Unity is the most cited platform for building AR experiences, frequently recommended alongside native Apple and Google SDKs. In the adjacent space of 3D asset creation, AI assistants are increasingly highlighting modern, AI-powered photogrammetry services over traditional modeling software for rapidly generating game-ready models from photos.
Across 1,673 AI responses, Unity is mentioned most, named in 36% of them, followed by Apple (30%) and Alphabet (29%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,673 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI assistants consistently recommend Blender as the top free, open-source choice for creating AR-ready 3D models. Responses also regularly mention
Autodesk products for professional pipelines and frame
Unity and
Unreal Engine as the platforms where these assets are ultimately deployed.
What is the best 3D modeling software for creating assets for augmented reality applications?
AI assistants consistently recommend Blender as the top free, open-source choice for creating AR-ready 3D models. Responses also regularly mention
Autodesk products for professional pipelines and frame
Unity and as the platforms where these assets are ultimately deployed.
Responses consistently recommend a dual-platform approach using Apple's ARKit and Google's , with 's AR Foundation frequently cited as the best way to develop a single app for both. Toward early 2026, responses began including specialized SDKs like for virtual try-on use cases.
Brands mentioned
Brands mentioned
I need to build an AR experience for an e-commerce app. What's the best SDK for that?
Responses consistently recommend a dual-platform approach using Apple's ARKit and Google's
ARCore, with
Unity's AR Foundation frequently cited as the best way to develop a single app for both. Toward early 2026, responses began including specialized SDKs like
Banuba for virtual try-on use cases.