
Bersyn
See what AI says about your product. Fix what's wrong
Details
- Target Audience
- MarketersFounders & CEOs
- Pricing
- Freemium from $49
- Platforms
- Web
About Bersyn
Bersyn scans how ChatGPT, Claude, Perplexity, and Gemini represent your product when buyers ask recommendation questions. Most products are either invisible or described using their competitors features. Bersyn diagnoses why each model gets it wrong and tells you exactly what content to publish to fix it. First scan free. No credit card required. Enter your product URL, run one full scan across all four AI models, and see which buyer conversations you are missing from, which competitors get recommended instead, and what AI seems to be getting wrong. The full platform tracks your AI representation weekly, generates corrective content anchored to your verified product identity, and rescans to prove the fix worked. $49/mo for ongoing monitoring and fixes.
Product Insights
Bersyn provides web-based analytics to monitor how major AI models like ChatGPT and Gemini represent specific products to potential buyers. It identifies gaps in AI recommendations and generates corrective content for a monthly subscription fee.
- Supports monitoring across four major models: ChatGPT, Claude, Perplexity, and Gemini.
- Freemium model includes a free initial scan with no credit card required.
- Provides automated content suggestions to correct AI misinformation and missing brand data.
- Includes competitor analysis to see which rivals are recommended for specific buyer queries.
Ideal for: Marketers, Founders, and CEOs can use Bersyn to identify why AI models recommend competitors and generate content to improve their product visibility.
Bersyn serves as an alternative to SEO and monitoring platforms such as Semrush and Peec AI.
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Comments (1)
Seeing what AI says about your product and then fixing the gaps is a clever feedback loop. AI perception is increasingly important for discoverability.
@chaudharyarun5797 Exactly. The loop is the product: see how AI understands you, find what is wrong or missing, fix the source signals, then re-measure. Visibility is useful, but proving AI understands your product correctly is the value!