
Otterly.AI
Profound
Am I on AI
Ahrefs
Attensira
Promptwatch
Diploria AI
AI SEO Search Visibility & AI Rank Tracking Platform for LLM Search Engines like ChatGPT - GEO/AEO/LLMO

KMPShip
ShipFlutter
ExpoShip
Develop iOS and Android apps with Kotlin Multiplatform boilerplate. Pre-configured features include authentication, in-app purchases, notification, showing ads, in-app review, logging, CI/CD, navigation and more.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | llmrefs.com | kappmaker.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United Kingdom · 1 - 9 employees · 2025 | Startup from Hungary · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


LLMrefs is an AI search analytics platform that tracks brand visibility across generative AI search engines. It shows whether AI assistants like ChatGPT, Perplexity, and Gemini mention your brand when users ask questions about your industry. Supported AI Search Engines LLMrefs monitors 11...
Build iOS and Android Apps Fast with KAppMaker KAppMaker is a powerful boilerplate designed for developers who want to streamline app creation for both Android and iOS platforms. Built on Kotlin and Compose Multiplatform, KAppMaker comes with pre-configured modules that take care of the...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
LLMrefs - AI SEO Keyword Rank Tracker for LLM Search Engines
KAppMaker NEW Millionaire Edition Module: AI and Landing Page for Android & iOS Apps
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing LLMrefs and KAppMaker.
KAppMaker's answer:
KAppMaker is special because it combines everything you need to build apps for both iOS and Android in one place. It has ready-made features that save time and make development easier.
LLMrefs's answer
Track keywords, not prompts Most AI SEO tools make you manage individual prompts. LLMrefs lets you add keywords and automatically generates prompt variations based on real conversations users have with AI chatbots. This saves time and produces more realistic results.
Statistical significance, not magic numbers Many competitors show vague "visibility scores" that are hard to interpret. LLMrefs uses transparent metrics like Share of Voice and Position. Results are aggregated and weighted across every prompt variation to ensure statistical significance.
Affordable with no hidden fees LLMrefs Pro is $79 per month and includes all 11 AI search engines. Competitors often charge extra per engine or have tiered pricing that gets expensive quickly.
Agency-friendly from day one One subscription covers unlimited projects and unlimited team members. Agencies do not need to buy separate accounts for each client.
Data quality focus LLMrefs emphasizes being the only platform that takes data quality seriously. They continuously check prompts and only report results when they have enough data to be statistically significant.
Comprehensive engine coverage Eleven AI search engines tracked in one dashboard. You do not need separate tools for ChatGPT, Perplexity, Google AI Overviews, and others.
KAppMaker's answer:
People should choose KAppMaker because it helps them get started quickly with built-in tools like authentication, in-app purchases, notifications and more. Also it is updated regularly so developers should not worry about necessary workarounds, or fixes.
KAppMaker's answer:
Our main audience includes indie developers and small startups who want to build mobile apps fast. They are looking for a way to create high-quality apps without spending too much time on setup.
KAppMaker's answer:
We use Kotlin Multiplatform and Compose Multiplatform as the main technologies for KAppMaker for both shared code and UI. Additionally, we use tools like GitHub Actions for deployment and Firebase for authentication and push notifications along with KMPAuth and KMPNotifier libraries. For in-app purchases and subscriptions RevenueCat is used. And for making dependency injection easy we used Koin.
KAppMaker's answer:
KAppMaker was born from the frustration of developers who spend too much time on setup, which slows them down and prevents them from publishing their apps. We wanted to create a solution that allows developers to focus solely on the features they want to offer users, making the app-building process faster and more efficient.
KAppMaker's answer:
Our biggest customers are indie developers and small businesses looking to launch their apps quickly.
Share your experience with using LLMrefs and KAppMaker. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


On prompts: LLMrefs builds them from your keywords, GeoSuite generates them from your brand and market, and Profound's trial uses a fixed set. Everyone else lets you type the questions your customers actually ask.
We have no reviews of KAppMaker yet. Be the first one to post
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