Skip to content
Lucidens
00 · SaaS / Marketplace / Digital Products

Building search visibility for a digital-product marketplace

Helping an existing creator platform turn organic discovery into a scalable acquisition channel.

Project
AOVANCY
Industry
Creator platform and marketplace
Engagement
Existing business
Method stages

What was delivered

  • Demand mapped into intent clusters (sell, sign up, learn), with one canonical page per cluster
  • Category and product-type hubs that give marketplace listings structure and internal links
  • Creator-facing pages built around the decision to sell, connected to sign-up
  • Informational pages that answer research questions and point to the right hub
  • Consistent description of the platform across the site and the external sources search systems rely on

01Context

AOVANCY is a digital-products platform and marketplace for creators. Creators build, publish and sell digital products, ebooks, courses, templates, presets, prompts and other downloads, with AI-assisted creation of product structure, content and sales pages, marketplace distribution, integrated payments, analytics and community tools. The platform charges a commission on sales rather than an upfront fee.

The platform was already operating when Lucidens' founder began working on its organic growth. The objective was to build Google visibility that generates sales through organic traffic, on both sides of the marketplace.

02Challenge

AOVANCY operates across several overlapping search categories: digital products, ebooks, templates, online courses, creator monetisation, AI product creation and digital-product marketplaces. Each has its own demand, its own competitors and its own intent, a creator deciding where to sell, a buyer looking for a template, someone researching how to make money from what they know.

Optimising individual pages could not solve that. The challenge was to create a scalable search architecture capable of capturing demand across multiple commercial and informational intents while keeping the product experience coherent.

03Diagnosis

Demand research showed that the categories overlap in language but not in intent. The same phrase can mean a buyer, a creator or a researcher. A site that treats them as one audience produces pages that satisfy none of them; a site that builds a page for every phrase fragments into duplicates.

The diagnosis was to organise the architecture around intent clusters with a defined commercial purpose each, sell, sign up, learn, and to give every cluster one canonical answer that the product experience supports, so that discovery and the platform reinforce rather than contradict each other.

04Approach

Clarify built the intent map and the baseline. Structure designed the hub-and-cluster architecture: product-type and category hubs for buyers, creator-facing pages for sign-up intent, and informational pages for research intent, each connected to the marketplace itself. Compound published across the clusters and began the authority work that makes a platform a credible entity in its category. Prove defined the measures: coverage, positions, organic-assisted sign-ups and organic-assisted sales.

The organising principle was the relationship between the market, the information architecture and the product: every search cluster maps to a place in the architecture, and every place in the architecture maps to something the product actually does.

01 Clarify

Mapped the overlapping demand, digital products, ebooks, templates, courses, creator monetisation, AI-assisted creation, marketplaces, into intent clusters with a commercial purpose each.

02 Structure

Designed a scalable search architecture: category and product-type hubs, creator-facing pages and marketplace listings organised so that each cluster has a canonical answer.

03 Compound

Published and refined across the clusters, and began earning references that establish the platform as a credible entity in its category.

04 Prove

Defined the measures that matter to the business: non-branded keyword coverage, commercial positions, organic-assisted sign-ups and organic-assisted sales.

05Implementation

Category and product-type hubs were built so that marketplace listings inherit structure and context rather than competing as isolated pages. Creator-facing pages were written around the decision a creator is making, where to sell, what it costs, how the AI-assisted creation works, and connected to sign-up. Informational content answers research intent and points to the relevant hub.

Entity work ensured the platform is described consistently across the site and the external sources that search and answer systems rely on, and a programme of earned references was started to strengthen its authority in the category.

  • Intent clusters with one canonical page each, mapped to sell, sign-up or learn
  • Hubs that give marketplace listings structure and internal links
  • Creator-facing pages built around the decision, connected to sign-up
  • Entity consistency and earned references to establish category credibility

06Where it stands

The marketplace now has an architecture that serves both of its audiences without either diluting the other: hubs for buyers, decision pages for creators, and research pages that feed both. Each search cluster maps to a place on the site, and each place maps to something the platform actually does.

07Lessons

When a business serves multiple search intents, organic growth depends on the relationship between the market, the information architecture and the product. Pages that are not anchored in that relationship attract traffic that the product cannot serve.

The second lesson is that marketplaces have two audiences with different intents, and the architecture must serve both without letting either dilute the other.

When a business serves multiple search intents, organic growth depends on building a clear relationship between the market, the information architecture and the product itself.

  • Capability 01
    Organic Growth Strategy

    Where demand will come from over three years, and what has to be true for you to earn it.

  • Capability 03
    Search Visibility

    Presence across the queries and intents that matter, measured as share rather than position.

  • Capability 05
    Content & Information Architecture

    What you say, how it is organised, and how each part supports the whole.

  • Capability 06
    Digital Authority

    The references, entities and relationships that make you the credible answer, not merely a present one.

  • Framework
    Answer Engine Visibility

    An initial framework for being the source that AI-generated answers cite: entity recognition, source selection, topical authority, structured information, clarity, citations and consistency, and how to measure it honestly.

  • Essay
    The Architecture of Organic Growth

    Organic growth is not a content problem or a ranking problem. It is an architectural problem: the relationship between business model, structure, intent, content, technology, authority and measurement.

Discuss this with us.

If your situation looks like this one, a first conversation is the fastest way to find out whether the same system applies.