Most crypto protocols are explained incompletely on their own websites. Mechanics exist in docs, limits are buried in FAQs, and risks are avoided entirely. AI systems need all three to recommend a protocol confidently — and when any one is missing, they hedge or skip the recommendation. This post shows exactly how to write all three.
If your protocol mechanics aren’t technically readable, AI cannot explain them. Run the free AI visibility checker to test your readability, and understand what each AI visibility factor actually means for complex crypto content.
If your protocol mechanics aren’t technically readable, AI cannot explain them. Run the free AI visibility checker to test your readability, and understand what each AI visibility factor actually means for complex crypto content.
Why mechanics, limits, and risks are the three-part explanation AI systems require
AI systems build recommendations by assembling reasoning blocks. For a crypto protocol, the three essential blocks are: how it works (mechanics), where it breaks or stops (limits), and what can go wrong (risks). Without all three, the model cannot form a confident recommendation — and uncertain models do not recommend.
An explanation without limits and risks is not a complete explanation — it is a marketing claim, and AI systems treat it as one.
For the full content framework, see Mastering AI Search for Crypto & Web3 Brands.
How to write the mechanics section
The mechanics section explains how the protocol works at the level of user experience, not at the level of smart contract architecture. It answers: what does the user do, what does the protocol do, and what is the outcome. Three to five bullet points. No jargon that requires explanation. Self-contained.
Mechanics written for a developer audience do not serve AI classification — write the mechanics for the decision-maker, not the implementer.
Mechanics template
- User action: what the user does to initiate the protocol interaction
- Protocol action: what the protocol does in response
- Outcome: what the user receives or achieves
- Settlement: how and when the transaction finalises
- Custody: where assets are held during and after the process
Example: DeFi lending protocol mechanics
- User deposits crypto collateral into a smart contract
- Protocol calculates borrowing capacity based on collateral value and LTV ratio
- User borrows stablecoins or other assets up to the borrowing limit
- Protocol charges variable interest that accrues continuously
- Assets remain in non-custodial smart contracts throughout — neither the protocol nor any third party holds user funds
How to write the limits section
Limits are the conditions under which the protocol stops working as expected — collateral requirements, minimum transaction sizes, supported assets, geographic restrictions, regulatory constraints. Stating limits explicitly reduces AI hedging dramatically because the model no longer needs to invent caveats.
Every limit you state explicitly is a caveat the AI does not need to invent — and invented caveats are always more damaging than stated ones.
Limits to document for any crypto protocol
- Minimum and maximum transaction or position sizes
- Supported assets and networks
- Geographic or regulatory restrictions
- Liquidity conditions that affect availability
- Technical prerequisites (wallet type, network, gas requirements)
- Governance or protocol parameters that can change
How to write the risks section
The risks section is the most avoided and most valuable section in crypto content for AI visibility. Brands that state risks explicitly are treated as more trustworthy by AI systems. Brands that avoid risk language trigger AI caution signals that result in hedged or absent recommendations.
Stating risks does not reduce recommendation frequency — avoiding them does.
Risk categories to cover for DeFi protocols
- Smart contract risk: audit status, bug bounty, exploit history
- Liquidation risk: conditions under which collateral is liquidated
- Oracle risk: price feed dependencies and failure modes
- Governance risk: who can change protocol parameters and how
- Regulatory risk: jurisdiction-specific legal considerations
- Market risk: conditions under which the protocol may behave unexpectedly
Evidence
The Notabene case study shows how explicit risk and constraint documentation contributed to AI recommendation confidence. The LLM SEO for Web3 service includes full mechanics, limits, and risks documentation as core deliverables.
Conclusion
Mechanics explain what the protocol does. Limits explain where it stops. Risks explain what can go wrong. All three together give AI systems the reasoning blocks they need to recommend your protocol confidently.
Write all three. Make each section self-contained and extractable. State everything the user needs to know to make an informed decision — and AI systems will use your content to inform the decisions of their users.
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Frequently Asked Questions
Why do AI systems need risk information to recommend a crypto protocol?
AI systems operating in financial domains are trained to be cautious about recommendations that could cause user harm. When risk information is absent, the model must invent caveats to protect users — and invented caveats are always more damaging than accurate stated risks. Providing risk information gives the model accurate caveats to use instead. Stated risks replace invented caveats — and invented caveats are always worse than accurate ones.
How detailed should the mechanics explanation be?
Detailed enough for a non-technical decision-maker to understand what happens to their assets and what they receive in return — but not so detailed that it requires developer knowledge to parse. The target reader for the mechanics section is a CFO or compliance officer, not a Solidity developer. Write mechanics for decision-makers, not implementers — that is the audience AI systems are recommending to.
Should limits and risks be on separate pages or the same page as mechanics?
Both approaches work. A single comprehensive page with clearly labelled sections for mechanics, limits, and risks is often the most efficient structure. Separate pages work better for complex protocols with extensive limits and risk categories. Either way, each section must be self-contained and independently extractable. Structure matters more than location — each section must be extractable without context from the others.
Does disclosing risks hurt conversion rates?
Evidence suggests the opposite. Brands that disclose risks explicitly are perceived as more trustworthy by both human readers and AI systems. Users who understand risks before converting are more qualified and have lower churn. The short-term friction of risk disclosure is outweighed by the long-term benefit of qualified, informed users. Risk disclosure builds trust with both human readers and AI systems — it does not reduce conversion, it improves conversion quality.
What is the difference between limits and risks in crypto protocol documentation?
Limits are conditions under which the protocol stops working as expected — minimum sizes, supported assets, geographic restrictions. Risks are conditions under which something can go wrong — liquidation, exploits, regulatory action. Limits are deterministic. Risks are probabilistic. Both need to be documented explicitly for complete AI-readable explanation. Limits define the boundaries of normal operation — risks define what can go wrong within and beyond those boundaries.
