What can a Web3 marketing audit reveal about your visibility?
A Web3 marketing audit shows where your current activity supports discovery and where the path from discovery to action breaks down. For AI search, that means looking at the information assistants can surface about your project alongside your conventional search presence, content and owned channels.
The point is not to collect disconnected observations. We connect what a potential user sees across your website, social channels and community with the next action you ask them to take. That helps distinguish a visibility problem from a clarity, trust or conversion problem.
Our AI Presence Scan organizes the review around the questions your audience is likely to ask and the answers they encounter. Findings are tied to evidence from the material reviewed, not promises about how an assistant will respond in the future.
An audit is useful before a launch, when existing activity feels scattered, or when your team needs a clear basis for allocating attention. If the project is preparing for a token event, pair the findings with a token launch marketing plan or go-to-market strategy.
Which Web3 marketing areas does the audit cover?
The audit reviews the parts of your marketing that affect discovery, understanding and conversion, then traces how they work together. The scope covers channel mix and spend, the website and funnel, content and search presence, community health, competitors and visibility in AI assistants.
We look for practical friction: a campaign landing page that does not answer the questions raised by your content, a community with no clear route from interest to participation, or channel activity that cannot be evaluated against a useful next step. For competitors, we compare visible positioning and communication rather than assuming access to private performance data.
What to prepare
- A list of priority audiences, markets and project goals.
- Links to your website, active channels and important campaign pages.
- A current channel plan and spend information you can share.
- Competitors you monitor and any questions your team wants answered.
- Existing analytics or reporting that helps explain what is working.
A complete starting pack is helpful, but it is not a reason to delay. We can identify missing inputs during kickoff and mark their effect on the findings. If the audit points to a measurement gap, consider a focused analytics and conversion tracking setup.
How do we assess your presence in AI answers and search?
We make AI visibility a concrete part of the audit by mapping important audience questions to the information your project currently publishes. The resulting Answer Map connects those questions with relevant pages, content gaps and the next changes your team can make.
The review considers whether the project is described consistently, whether core pages explain the product and its use clearly, and whether content addresses the questions users need answered before they act. We compare this picture with your wider search presence and competitor positioning, so recommendations do not treat an AI answer as a separate marketing channel.
For each opportunity, the report identifies the observed issue, why it matters to the intended audience and a practical next step. That could mean clarifying a product page, strengthening supporting content or aligning the language used across channels. You can also use the findings to shape a broader AI search visibility program.
The Source Plan prioritizes content and source improvements based on relevance to the project’s goals and the evidence available in the audit. It is a working plan for your team—not a claim that any assistant uses a particular index, ranking formula or fixed selection process.
What do you receive from a Web3 marketing audit?
You receive a report that turns the review into decisions: what is already useful, what is obstructing progress, and what to address first. It includes findings across the agreed audit areas, quick wins and a prioritized 90-day action plan.
Recommendations are organized so a project lead can assign work rather than translate vague advice. For each priority, the report explains the issue, the intended outcome and the team or asset involved. Where the available information leaves a question open, we identify what needs validation instead of presenting an assumption as a fact.
| Deliverable | How your team can use it |
|---|---|
| Findings across the agreed scope | See gaps across channels, funnel, content and community |
| Quick wins | Identify changes that can be acted on without a full rebuild |
| Prioritized 90-day plan | Sequence work and assign ownership |
| AI visibility observations | Improve the clarity and coverage of important answers |
The audit is not a replacement for execution. If you need help carrying recommendations into campaign work, we can connect the plan to growth marketing support or crypto marketing consulting.
How long does the audit take, and how does the work run?
A typical Web3 marketing audit takes one to two weeks, with timing shaped by the agreed scope and how quickly the required materials are available. We use that time to review the evidence, connect findings across channels and prepare an action plan—not simply to deliver a checklist.
Work begins with a scope conversation: we confirm business goals, audiences, priority markets, active channels and the decisions the audit needs to support. The AI Presence Scan then frames the visibility review, while the Answer Map records priority questions and their relationship to existing project information. We review the other agreed areas and use the findings to shape the Source Plan and report.
Before the report is finalized, AIPromote walks through the key observations with your team. This review gives you a chance to clarify context, resolve factual questions and identify which recommendations need an owner first.
To keep the work moving, prepare access to relevant public materials and share internal analytics or channel information you are comfortable providing. We agree what is in scope up front, and the final plan reflects that scope. The starting price is from $220 / hour.
What can the audit not control about AI and search visibility?
The audit can assess current project information and recommend clearer, more useful sources; it cannot control how an AI assistant selects or presents an answer. Search visibility, third-party platform decisions and competitor activity also remain outside the audit team’s control.
That distinction matters when setting objectives. We can deliver the agreed review, document what we observed and provide a prioritized plan. We do not present a particular AI citation, search position, listing decision or business outcome as a deliverable. Where visibility is the concern, recommendations focus on changes the project can make: accurate descriptions, useful supporting content, coherent pages and consistent public information.
Use the report as a decision tool, then assign owners to the actions that fit your resources and launch priorities. If a recommendation depends on a platform review, treat that review as a separate dependency and prepare the requested information carefully. For work involving a token launch, the audit can inform a presale marketing plan or support a wider token launch and growth plan.
To scope an audit, send AIPromote your website, active channel links, project goals and the questions your team most needs answered. We will confirm the review areas and inputs, then begin the audit against that agreed scope.
Prices
| Service | Price | Quote |
|---|---|---|
| Analytics Setup | from $220 / hour |
Starting prices in USD. Custom bundles and volume discounts on request. Payment in USDT, USDC, BTC, ETH, SOL, TON or your project token.
How it works
- Set the audit scopeWe agree the business goals, audiences, channels and decisions the review should support. You know what is included before the review begins.
- Share project materialsProvide relevant links, channel plans and any analytics or spend information you want included. We flag missing inputs rather than silently filling gaps with assumptions.
- Review visibility and marketingWe assess the agreed areas, including website funnel, content, search presence, community and competitors, with AI-answer visibility included in the review.
- Connect findings to prioritiesWe identify practical issues and quick wins, then organize recommended actions into a prioritized 90-day plan.
- Walk through the reportAIPromote reviews the findings with your team, clarifies open questions and helps you identify the first actions to assign.
Frequently asked questions
What does a Web3 marketing audit include?
It covers your marketing channels and spend, website and funnel, content and search presence, community health, competitors and AI-assistant visibility. You receive a report with findings, quick wins and a prioritized 90-day plan. The exact areas are agreed before work starts, so the review can focus on your project’s goals.
How much does a Web3 marketing audit cost?
The audit starts from $220 / hour. The total depends on the areas included and the materials to be reviewed, so AIPromote confirms the scope before work begins. Share your website, active channels and main questions to receive a clear outline of the work.
How long does a Web3 marketing audit take?
A typical audit takes one to two weeks. The schedule reflects the agreed scope and the availability of relevant project materials. Sharing channel information, current plans and existing analytics early helps us review the evidence and prepare the action plan within that timeframe.
Can an audit guarantee that an AI assistant will cite my project?
No. The audit can document how your project information appears in the review and recommend improvements to its clarity and coverage, but an assistant controls which sources it selects and how it presents answers. The promised deliverable is the agreed analysis and action plan, not a specific citation or search position.
What should I send before the audit starts?
Start with your website, active channel links, project goals, priority audiences and the questions you want the audit to answer. If you can share a channel plan, spend information or existing analytics, those can add useful context. We will confirm which materials are relevant to the agreed scope.
Is a marketing audit useful before a token launch?
Yes. A pre-launch audit can help your team check whether the website, content, community and active channels support the same project story before launch activity intensifies. It can also turn gaps into a prioritized action plan. For launch execution, the findings can inform a TGE marketing plan.
Tell us about your project
Answer four quick questions and a manager will send you a plan, timing and a price range within the hour. Everything stays confidential.
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