molthub is a hands-on Web3 GEO studio for early-stage teams. We audit and improve the public information that helps AI-powered search systems discover, understand, and cite a project.
Discover → Understand → CiteFree automated scan
Enter a public project website. Get a technical readiness score, detected gaps, buyer-intent prompt ideas and three priority actions.
Instant · No card · No email gate
Start small, upgrade when useful
Automated tools for a fast first answer. Human verification and implementation when the project matters more.
Every paid plan produces an evidence trail. Upgrade only when the next layer is useful.
A fast website-readiness check for Web3 teams starting with GEO.
Best for: finding obvious gaps before spending.
A low-cost starting order. We confirm the scope and deliver the report after payment.
Best for: teams that want a small, clearly scoped first engagement.
Automation plus a focused human Web3 fact check before recommendations are delivered.
Best for: teams that need facts checked before publishing.
A complete expert-led diagnosis for teams preparing a serious launch or growth push.
Best for: a launch, repositioning, or competitive review.
We diagnose, rewrite, implement and retest the highest-priority improvements for you.
Best for: teams that want implementation handled end to end.
Upgrade credit: move to a higher plan within 14 days and the amount already paid is deducted from the next plan.
The visibility problem
Your project is missing from relevant AI-generated recommendations.
AI may confuse your product, protocol, token, supported networks, or custody model.
Your website may contain claims, but not enough clear and verifiable information for AI systems to cite confidently.
What we actually do
We do not stop at vague recommendations.
See how AI describes your project and which competitors appear first.
Check Web3 facts, competitor positioning, and the sources shaping answers.
Improve priority pages, then retest the same high-value questions.
Evidence-led deliverables
Evidence, context, priority, action.
Where your project appears—and where it does not.
Who gets recommended first and why.
What AI misunderstands or cannot verify.
What to improve first.
A hands-on studio
Speak directly with the person doing the work.
Product and technical claims are checked manually.
We can apply improvements, not just report them.
Start with one review—no long contract.
Evidence-led editorial library
Beginner guides explain the fundamentals. Professional notes document measurement, source and implementation decisions.
A plain-English introduction to how AI search discovers, classifies, and explains Web3 products.
Why the same project must be described consistently across its homepage, docs, GitHub, ecosystem listings, and social profiles.
Three practical reasons a smaller Web3 product can disappear from an answer while a better-documented competitor gets the mention.
A practical source hierarchy for turning product facts into pages that AI assistants and human buyers can verify.
Beyond Web3
Molthub also supports selected regulated and ad-restricted brands with compliant organic and AI-search visibility. Every higher-risk engagement is reviewed before scope or payment.
About molthub
Clearer for people. Easier for AI to understand.
Questions before you start
The work is designed to reduce uncertainty, not replace it with guarantees.
We do not guarantee rankings, citations, or recommendations from any AI platform.
Generative Engine Optimization improves how clearly AI search systems can discover, understand, and cite information about a project. It complements traditional SEO but focuses more directly on answer quality, factual clarity, source strength, and citation readiness.
It is a focused initial look at your project, website, and documentation to identify whether a deeper review could be useful. The exact scope depends on the information you provide and is confirmed before any paid work begins.
No. We do not guarantee rankings, citations, recommendations, or mentions from any AI platform. We improve the clarity, evidence, and structure that can help AI systems understand a project more accurately.
No. A review can lead into practical website, documentation, or content improvements when implementation support is useful and agreed in scope.
No. One-off reviews and short implementation sprints are welcome. Longer support can be discussed only when it is genuinely useful.
Yes. USDT is accepted for agreed paid engagements. Payment details are confirmed privately before work begins.
The studio is designed for early-stage and growing stablecoin payment products, crypto payment infrastructure, wallets, developer tools, on-chain data products, Web3 SaaS, and infrastructure projects.
Yes. Client visibility and case-study permissions are agreed separately. An audit can remain private or be presented without identifying the client.
Timing depends on the size of the website, documentation, prompt set, and implementation scope. A realistic schedule is confirmed after the initial review rather than promised before the project is understood.
Choose your next step
Choose a plan, continue to checkout, and keep your order status in your molthub account.
Direct communication · Clear scope · No required long-term contract