SentiSight.ai
ASO Keyword Dashboard
Tracking 104 keywords for SentiSight.ai in Apple App Store
SentiSight.ai tracks 104 keywords (no keywords rank yet; 104 need traction). Key metrics: opportunity 70.0, difficulty 39.5.
Tracked keywords
104
0 ranked • 104 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.0
Top keyword: character
Avg difficulty
39.5
Lower scores indicate easier wins
Opportunity leaders
- 68.6
character
Opportunity: 73.0 • Difficulty: 41.5 • Rank —
Competitors: 139
- 65.1
immediately
Opportunity: 73.0 • Difficulty: 39.3 • Rank —
Competitors: 47
- 66.7
objects
Opportunity: 73.0 • Difficulty: 40.5 • Rank —
Competitors: 118
- 63.8
object
Opportunity: 73.0 • Difficulty: 38.6 • Rank —
Competitors: 69
- 66.9
currently
Opportunity: 73.0 • Difficulty: 41.0 • Rank —
Competitors: 54
Unranked opportunities
character
Opportunity: 73.0 • Difficulty: 41.5 • Competitors: 139
immediately
Opportunity: 73.0 • Difficulty: 39.3 • Competitors: 47
objects
Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 118
object
Opportunity: 73.0 • Difficulty: 38.6 • Competitors: 69
currently
Opportunity: 73.0 • Difficulty: 41.0 • Competitors: 54
High competition keywords
new
Total apps: 185,407 • Major competitors: 2,043
Latest rank: — • Difficulty: 53.4
make
Total apps: 161,903 • Major competitors: 1,546
Latest rank: — • Difficulty: 52.8
find
Total apps: 136,149 • Major competitors: 1,470
Latest rank: — • Difficulty: 52.2
mobile
Total apps: 117,282 • Major competitors: 771
Latest rank: — • Difficulty: 51.3
using
Total apps: 116,658 • Major competitors: 765
Latest rank: — • Difficulty: 51.3
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| new | 65 | 100 | 53 | 88 185,407 competing apps Median installs: 75 Avg rating: 4.1 | — | — | 2,043 major competitor apps |
| character | 73 | 100 | 41 | 69 12,406 competing apps Median installs: 125 Avg rating: 4.1 | — | — | 139 major competitor apps |
| software | 72 | 100 | 42 | 70 16,049 competing apps Median installs: 25 Avg rating: 3.8 | — | — | 86 major competitor apps |
| version | 70 | 100 | 45 | 75 29,193 competing apps Median installs: 75 Avg rating: 4.0 | — | — | 180 major competitor apps |
| make | 65 | 100 | 53 | 87 161,903 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 1,546 major competitor apps |
| whether | 67 | 100 | 50 | 83 91,896 competing apps Median installs: 25 Avg rating: 4.3 | — | — | 595 major competitor apps |
| images | 70 | 100 | 45 | 75 28,790 competing apps Median installs: 50 Avg rating: 4.0 | — | — | 167 major competitor apps |
| support | 67 | 100 | 49 | 81 72,264 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 522 major competitor apps |
| users | 68 | 100 | 48 | 80 61,678 competing apps Median installs: 25 Avg rating: 4.1 | — | — | 361 major competitor apps |
| place | 69 | 100 | 47 | 78 45,998 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 368 major competitor apps |
| range | 69 | 100 | 46 | 77 37,302 competing apps Median installs: 25 Avg rating: 4.1 | — | — | 273 major competitor apps |
| within | 68 | 100 | 49 | 81 68,504 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 654 major competitor apps |
| information | 66 | 100 | 51 | 85 110,448 competing apps Median installs: 25 Avg rating: 4.1 | — | — | 537 major competitor apps |
| used | 68 | 100 | 48 | 79 51,134 competing apps Median installs: 50 Avg rating: 4.0 | — | — | 235 major competitor apps |
| image | 70 | 100 | 44 | 74 25,249 competing apps Median installs: 50 Avg rating: 4.0 | — | — | 146 major competitor apps |
| content | 68 | 100 | 48 | 79 54,258 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 493 major competitor apps |
| people | 68 | 100 | 48 | 79 50,497 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 489 major competitor apps |
| way | 66 | 100 | 51 | 84 104,750 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 1,047 major competitor apps |
| immediately | 73 | 100 | 39 | 65 7,679 competing apps Median installs: 50 Avg rating: 4.1 | — | — | 47 major competitor apps |
| using | 66 | 100 | 51 | 85 116,658 competing apps Median installs: 50 Avg rating: 4.0 | — | — | 765 major competitor apps |
| find | 66 | 100 | 52 | 86 136,149 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 1,470 major competitor apps |
| mobile | 66 | 100 | 51 | 85 117,282 competing apps Median installs: 25 Avg rating: 4.0 | — | — | 771 major competitor apps |
| variety | 69 | 100 | 47 | 77 39,088 competing apps Median installs: 75 Avg rating: 4.2 | — | — | 482 major competitor apps |
| key | 69 | 100 | 47 | 77 41,571 competing apps Median installs: 25 Avg rating: 4.2 | — | — | 268 major competitor apps |
| score | 71 | 100 | 44 | 73 21,548 competing apps Median installs: 50 Avg rating: 4.2 | — | — | 257 major competitor apps |
App Description
On the app, users can immediately make predictions using a range of ready-to-use pre-trained models:
General Classification—. Use the General Classification pre-trained model to identify the content of your image. Classification is one of the primary uses of image recognition AI
General Object Detection—Using the pre-trained general object detection model allows users to identify what objects are in your image, along with the location of the object within the image.
Places Classification— Use the Places Classification pre-trained model to identify the place depicted in your image. The model provides a predicted score percentage.
NSFW Classification—The NSFW classification model can be used to detect whether images contain nudity or not. The model provides a prediction of whether the image is safe or unsafe, by way of a predicted score percentage.
Optical Character Recognition—The optical character recognition (OCR) pre-trained model can be used to detect and identify text within your image, and is supported for a wide variety of languages.
Pose Estimation—The pose estimation model can be used to detect the poses of people in the image. It detects 15 joints and key points of the human body.
Image Similarity Search—an image similarity search model is used to find visually similar images to one that is uploaded. The retrieved images are sorted by their similarity score.
With the SentiSight.ai mobile app, users can also make predictions using the custom models that have been trained using the SentiSight.ai web interface.
The app uses the same login credentials as the web version of SentiSight.ai.
The app does not currently support the training of new models itself, but the mobile app can be used to upload images to your projects that can be later used for training custom models.
The SentiSight.ai mobile app and web platform are developed by Neurotechnology. Neurotechnology is a developer of high-precision algorithms and software based on deep neural networks and other AI-related technologies. For more information about the company, please, visit the company’s website https://neurotechnology.com/