Crypto AI search visibility built around buyer questions

7 checks before booking crypto AI visibility work

7 inputs make a crypto AI review useful. Send materials that let us test real buyer questions and verify each answer.

Before we book, check that you can share:

• Project URL: the main page buyers should understand first.
• Product docs: current explanations of your protocol, wallet or token utility.
• Audience: the users or buyers whose questions matter most.
• Priority products: features, networks or integrations you want reviewed.
• Buyer prompts: questions your team hears or expects users to ask.
• Claim owner: someone who can confirm technical and token details.
• Known conflicts: public pages that describe the project differently.

DigitalMedia1 uses this checklist to catch missing context before prompt testing. No prompt list yet? Send the audience and product priorities.

We can draft questions for your approval. Keep planned features separate from live capabilities. This stops roadmap language from reading like current product fact.

Start with an AI visibility audit when you need to find the largest information gaps before changing pages.

Which AI answers should a crypto team review first?

3 answer products need separate checks. One response cannot tell you what another product will show. Start with products your buyers already use or ask about.

Use the same core buyer question across selected products. Record the wording, project mentions, claims and visible source details. Compare those observations with your public information.

• ChatGPT: check whether the answer explains the project and key facts.
• Perplexity: note the answer and any sources shown in the interface.
• Google AI Overviews: review relevant search answers, where they appear.
• Buyer intent: include product fit, supported networks and alternatives.

For broader AI search visibility, use this buyer-first approach across more answer environments. Add ChatGPT visibility or Perplexity optimization when one product needs deeper review.

Keep the first prompt set focused. A short list of decision questions is easier to interpret than unrelated searches. Expand it when initial checks reveal another buyer concern or factual gap.

3 surfaces, 3 separate answer records

3 surfaces call for 3 records, not one combined score. The comparison keeps each product’s visible response distinct. Your team gets a clear place to investigate differences.

Each record connects a buyer question to facts that answer it. A vague observation becomes actionable. The project may need a clearer product explanation, a claim source or a technical check.

For page changes, see content for AI answers. When access or structured data needs review, technical AEO is a separate workstream. We do not add markup by default.

The prompt log also preserves the wording used for later checks. Your team can review the exact question, response and visible sources. No one has to rely on a summary score.

5 moves from prompt list to crypto AI report

5 moves take the review from project context to a usable action list. We confirm product facts before making recommendations.

1. Send context: share the website, docs, priority products and audience.
2. Confirm prompts: agree on buyer questions and answer products to check.
3. Capture answers: log each prompt, response, mention and visible source.
4. Compare evidence: check public pages against the claims buyers need.
5. Set actions: separate content changes, source needs and technical checks.

We send a written quote within 2 working days after reviewing your request. The schedule follows the agreed prompt set and any page work.

Your report lists checked prompts, observed answers, visible sources and next actions for each gap. For repeat checks, AI visibility monitoring can track an agreed prompt set over time.

A crypto project may need independent public references, not just stronger website copy. If that is the gap, review digital PR for AI citations. We keep these needs separate in the action list. Your team can choose what to address first.

What can a crypto team verify in AI answers?

2 parts are in your control: accurate public information and available evidence. ChatGPT, Perplexity and Google AI Overviews select and present material themselves. Their answers and visible sources can change. We cannot promise a mention or citation.

We can verify the prompt set, pages reviewed, product facts checked and recommendations delivered. We log visible sources when a product shows them. We flag claims that need confirmation from your technical or product owner.

Your team gets a record of what we checked, not a claim of permanent results. Resolve contradictions between your site, docs and other public descriptions before expanding content.

Then address buyer questions with the clearest evidence gaps. If your product explanation is already consistent, focus on missing answers or supporting sources.

Send us your main project URL, current docs, priority audience and 3 buyer questions. We’ll confirm the review plan and send a written quote within 2 working days.

How it works

1. 1. Send project contextShare your website, product docs, priority audience and key product facts. Flag claims that need confirmation from a subject-matter owner.
2. 2. Agree on buyer promptsWe shape questions around real user decisions and confirm which AI answer products to review.
3. 3. Record the answersWe log each prompt, response, project mention and source detail visible in the product.
4. 4. Compare the evidenceWe check public project information against the claims and explanations buyers need.
5. 5. Send the action listYou get a prompt log and prioritized actions for content, public evidence or technical review.