AEO for Crypto and Web3 Companies
built for head of marketings.

Why AEO matters for Crypto & Web3

Crypto buyers (developers + traders) use AI heavily for tooling research. AI engines often have outdated or wrong info about crypto products due to training data cutoffs and rapidly evolving market.

The triggering moment: Major crypto market event. Buyers scramble for tooling. AI-cited vendors capture pipeline in the rush. Misinformation about prices/contracts requires cleanup.

What buyers in Crypto & Web3 actually ask AI engines

Sample high-intent prompts that Crypto & Web3 buyers ask ChatGPT, Perplexity, and Gemini when researching vendors:

• best crypto wallet for businesses
• best DeFi yield platform
• best NFT marketplace for creators
• best web3 developer tools
• best crypto tax software

These are starting points. Lantern's prompt discovery process expands these into 30–150 specific prompts tailored to your product, region, and buyer sub-segment.

Attribution challenges specific to Crypto & Web3

Mix of self-serve adoption and enterprise sales. Crypto-native attribution often involves on-chain signals alongside web/CRM data.

This is why generic AEO tools (which optimize for short B2C cycles) often produce misleading results for Crypto & Web3 buyers. Lantern's multi-touch attribution model is configurable for the longer cycles and multi-stakeholder buying common in Crypto & Web3.

The AEO content priorities that work for Crypto & Web3

Based on what we see across the category, the highest-impact AEO content investments for Crypto & Web3 brands are:

1. Technical documentation that LLMs cite
2. Comparison pages by chain/protocol
3. Hallucination defense content (current pricing, current security audits)
4. Open-source contributions for visibility

Common AEO stacks in Crypto & Web3

Otterly for cheap entry, Twitter/X for primary discovery, Discord for community Lantern is positioned to plug into existing stacks (rather than replace them) — adding the HubSpot mostly (modern crypto companies) pipeline attribution layer that monitoring tools don't offer.

How Crypto & Web3 brands use Lantern specifically

Underserved category — no major AEO tool has crypto/web3 specialization. Lantern can carve a wedge here for HubSpot-using crypto companies.

If you're a Crypto & Web3 company asking "did our AEO investment actually drive pipeline this quarter?" — Lantern's monthly Pipeline ROI Report is built to answer that question with attribution math your CFO will accept.

Example brands operating in this space

For context, some companies operating in or adjacent to Crypto & Web3: Coinbase, Kraken, Phantom, MetaMask, OpenSea, Alchemy, Infura, Chainlink, TaxBit, CoinTracker. AEO citation patterns in this category often involve these brands as benchmarks for share-of-voice tracking.

What Lantern's pipeline ROI report looks like for Crypto & Web3

The monthly report Lantern generates for Crypto & Web3 customers includes:

• AEO ROI multiplier — pipeline driven divided by AEO investment for the period
• Citation funnel — prompts gained → AI sessions → contacts → opportunities → closed-won, with values at each step
• Top 10 prompts driving pipeline — which specific buyer queries are converting through your funnel
• Competitor benchmark — your share of voice vs the named competitors above, trended over time
• Recommended next moves — specific content gaps and prompt opportunities to expand visibility

The report ships as a one-page PDF in your inbox on the 1st of every month. Forward it to your CMO; they forward it to the board.