Not sure where to start? Take a guided tour.
AI Site Grader
AI Query Scanner
llms.txt GeneratorDoes AI put your
DeFi lending platform on the shortlist?
54 buyer prompts for DeFi lending platform brands.
See when you appear, how you compare, and what AI gets wrong.
“What are the top DeFi lending platforms currently available on Ethereum?”
Would your brand make this list?
Start with the question
you want to answer.
12 starters are shown by default. Expand each intent to browse all 54 prompts. Adapt the buyer’s context before testing.
Discovery Prompts
2 of 9 shownTests how AI surfaces brands for broad, high-level user queries.
- 01
What are the top DeFi lending platforms currently available on Ethereum?
BasicWhat to look forIdentifies market leaders and baseline brand awareness.
- 02
Can you list some decentralized protocols for borrowing stablecoins?
BasicWhat to look forChecks for niche positioning in the stablecoin market.
Comparison Prompts
2 of 9 shownEvaluates how the AI differentiates brands against direct competitors.
- 10
Compare Aave and Compound in terms of interest rates and security.
IntermediateWhat to look forDirect competitive positioning and feature parity.
- 11
What is the difference between MakerDAO and other lending protocols?
IntermediateWhat to look forChecks for understanding of unique business models.
Use Case Prompts
2 of 9 shownTests brand recommendations based on specific user needs or financial goals.
- 19
I have 10 ETH and want to earn passive income. Where should I deposit it?
BasicWhat to look forTests recommendation engine for specific assets.
- 20
How can I use my WBTC as collateral to get a loan in USDT?
BasicWhat to look forIdentifies brands associated with specific collateral types.
Validation Prompts
2 of 9 shownAssesses the AI’s knowledge of a brand’s reputation, security, and history.
- 28
Is Aave safe to use for large deposits?
BasicWhat to look forEvaluates trust and security sentiment.
- 29
Has the Compound protocol ever been audited?
IntermediateWhat to look forChecks for historical and technical accuracy.
Problem-Solving Prompts
2 of 9 shownTests how AI uses brands to solve specific user hurdles or technical issues.
- 37
My health factor is low on a DeFi loan. What should I do?
IntermediateWhat to look forTests if AI mentions specific platform tools for management.
- 38
How do I migrate my positions from Aave v2 to v3?
IntermediateWhat to look forChecks for platform-specific migration support.
Competitive Intelligence
2 of 9 shownExplores how the AI views the broader market and competitive advantages.
- 46
Who are the main competitors to Aave in the current market?
BasicWhat to look forIdentifies the AI’s perceived competitive set.
- 47
Which lending protocol has the most innovative tokenomics?
IntermediateWhat to look forTests for ‘innovation’ brand association.
Make the question
sound like your buyer.
Change the context, not the outcome you want. A useful prompt describes a real buyer’s situation without steering AI toward your brand.
Recommend a defi lending platform option for [buyer] in [market] with a focus on [priority].
What are the top DeFi lending platforms currently available on Ethereum?
Keep discovery unbranded.
Use brand names for comparisons or reputation checks. Leave them out when testing who gets discovered.
Keep a record of the answer.
Note the prompt, platform, date, brands named, order, reasons and cited sources. Repeat with the same setup.
Check what AI tells you.
Answers can vary or be wrong. Verify fees, integrations and product claims using current official sources.
About this library.
In the rapidly evolving landscape of decentralized finance, visibility within AI models is critical for user acquisition. As more investors and developers turn to AI for protocol recommendations, understanding how Large Language Models perceive your brand’s security, liquidity, and yield performance is vital. These models often serve as the first point of contact for users seeking to navigate complex interest rate markets or risk parameters. Testing your brand’s presence across various intent categories ensures that your protocol is not only mentioned but also accurately represented as a trusted solution in the competitive DeFi ecosystem.
Based on Trakkr’s 54-prompt defi lending platform bank, updated 28 January 2026. These are test questions, not measured results or product recommendations.
Platform-specific tips.
ChatGPT
- Use the ‘Web Search’ feature to ensure it pulls the latest APY and TVL data.
- Ask for a table comparison to see which features the model prioritizes for your brand.
Claude
- Provide a specific whitepaper snippet and ask Claude to compare your logic with a competitor.
- Test for nuanced risk analysis, as Claude tends to be more conservative and detailed with safety.
Gemini
- Check how Gemini integrates real-time Google Search results into its DeFi recommendations.
- Ask for visual descriptions or ‘how-to’ steps for your platform to see if it pulls from YouTube or help docs.
Perplexity
- Monitor the ‘Sources’ section to see which DeFi news sites or documentation pages are driving your visibility.
- Use the ‘Pro’ mode to get deep-dives into protocol smart contract audits.
Pro tips.
- 01
Test prompts in ‘Incognito’ or cleared-cache sessions to avoid personalized bias.
- 02
Use ‘Roleplay’ prompts (e.g., ‘Act as a DeFi risk analyst’) to uncover deeper technical perceptions.
- 03
Track the frequency of your brand appearing in ‘Top 3’ lists versus ‘Top 10’ lists across different models.
- 04
Specifically test for ‘hallucinations’ regarding your platform’s interest rates or supported assets.
Track your AI visibility
Choose a prompt above to bring it into your trial, or start with your own topic.