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AI-native product discovery

Make your product discoverable by AI

When someone asks an AI assistant "what's the best tool for X?", AppBoard provides the answer. List your product with structured data so assistants can discover it automatically.

How it works

Three steps, and only the first one is yours to do.

  1. 1

    List your product

    Add your product with structured data: pricing model, platforms, use cases, target audiences and alternatives.

  2. 2

    AI agents query AppBoard

    Assistants like Claude, ChatGPT, Gemini, Cursor and VS Code connect over MCP or the REST API to answer product questions.

  3. 3

    You get discovered

    When someone asks which tool fits a job, your product appears — ranked by community engagement, not by ad spend.

What AI agents can read

Structured, normalised product data that agents can query precisely and rely on.

Structured product profiles

Pricing model, platforms, use cases and target audiences — all drawn from controlled vocabularies an agent can filter on exactly.

Community-validated rankings

Real upvotes, comments, follows and saves from actual users, not self-reported claims. Agents use these signals to rank what they recommend.

Alternative relationships

Explicit links between competing products, so "what's an alternative to X" has a structured answer instead of a guess.

Discount codes

Where a maker published one, agents can surface a current discount code alongside the recommendation.

Maker reputation

Every product carries its maker's reputation, earned by supporting other products — a signal that is hard to fake.

Audience matching

Products are tagged by who they serve — developers, indie hackers, marketers, designers — so agents match the right tool to the right person.

Connect to AppBoard

Two ways in. MCP needs no authentication; the REST API needs a free key.

MCP server

Connect any MCP-compatible assistant with one command. Seven tools for search, alternatives, trending and product detail.

claude mcp add appboard --transport http https://api.appboard.pro/api/mcp
Set up MCP →

REST API

Read-only GET endpoints returning JSON, CORS enabled. Authenticate with a free API key created in one click.

curl -H "X-AppBoard-Api-Key: $APPBOARD_API_KEY" \
  "https://api.appboard.pro/api/v1/products?category=ai"
Read the API docs →

llms.txt

AppBoard publishes an llms.txt describing the site's structure for language models, alongside an always-current sitemap of every public product and creator page.

Get listed. Get discovered.

Every product on AppBoard is automatically discoverable by AI assistants. The more structured data you provide, the better AI can match you to the right users.

Submit your product