# Brand Intelligence MCP server

Search and analyze 5,600+ companies across 30 technology verticals.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-sigaihealth-brand-intelligence
- Repository: https://github.com/sigaihealth/airank

## Install
- Endpoint: https://geo.sig.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://geo.sig.ai/mcp

## Tools
- search_brands - Search for brands by name, description, or keyword across the brand database.

    Args:
        query: Search term — company name, product category, technology, or description keyword.
        vertical: Optional vertical filter (e.g. "Cybersecurity", "Marketing Technology",
                  "Financial Services"). Use the exact canonical name or a close slug.

    Returns:
        List of matching brands (up to 20) with brand name, slug, vertical, tier, signal summary,
        and source URL. Use get_brand(slug) to fetch full details on any result.
     Endpoint: https://geo.sig.ai/mcp
- get_brand - Get the full intelligence profile for a brand by its URL slug.

    Args:
        slug: URL-safe brand identifier (e.g. "pacvue", "hubspot", "snowflake").
              Use search_brands to discover slugs if unsure.

    Returns:
        Full brand profile including company overview (3 paragraphs), signal summary,
        structured FAQs, vertical, tier/rank, website, tags, and source URL.
        Returns an error dict if the brand is not found.
     Endpoint: https://geo.sig.ai/mcp
- compare_brands - Compare brands with a structured diff: capabilities overlap, shared integrations,
    AI visibility delta, entity relationships, and a bottom-line summary.

    Args:
        slugs: List of 2–5 brand slugs to compare (e.g. ["cursor", "github-copilot"]).
               Use search_brands to find slugs.

    Returns:
        Dict with brands, AI visibility comparison, capabilities diff (shared vs unique),
        integration overlap, direct relationships, and a concise bottom_line summary.
     Endpoint: https://geo.sig.ai/mcp
- get_landscape - Get the competitive landscape for a vertical: leaders, challengers, emerging
    brands, tier breakdown, top subcategories, and AI visibility summary.

    Args:
        vertical: Vertical name or slug (e.g. "Cybersecurity", "cybersecurity",
                  "marketing-technology", "HR & People Tech").
        limit: Max brands to return (default 50, max 100).

    Returns:
        Dict with vertical summary, tier breakdown, top subcategories, brands list
        (each with AI visibility score, trend, tier), and landscape_url.
     Endpoint: https://geo.sig.ai/mcp
- find_alternatives - Find alternatives to a brand using the knowledge graph, shared capabilities,
    and category matching. Each alternative includes WHY it's an alternative.

    Args:
        slug: The brand slug (e.g. "cursor", "salesforce").
        limit: Max alternatives (default 10, max 20).

    Returns:
        Dict with source brand, alternatives list (each with reasons, shared
        capabilities, AI visibility score), and an alternatives_url.
     Endpoint: https://geo.sig.ai/mcp
- get_brand_graph - Get the knowledge graph for a brand — entity type, parent/child hierarchy,
    competitive edges, integrations, acquisitions, and structured capabilities.

    Args:
        slug: Brand slug (e.g. "chatgpt", "aws", "salesforce").

    Returns:
        Dict with entity_type, parent company, child products, relationship
        edges (competes_with, integrates_with, acquired_by, invested_in,
        powered_by, product_of, subsidiary_of, built_on), and capabilities.
     Endpoint: https://geo.sig.ai/mcp
- find_by_capability - Find brands that have a specific capability.

    Args:
        capability: Capability keyword (e.g. "code-generation", "voice-synthesis",
                    "payment-processing"). Partial matches supported.
        domain: Optional vertical to filter (e.g. "Artificial Intelligence").
        limit: Max results (default 20).

    Returns:
        List of brands with matching capabilities, including their proficiency level.
     Endpoint: https://geo.sig.ai/mcp
- get_brand_digest - Get a compact intelligence digest for a set of brands — perfect for
    watchlist summaries, competitive briefings, and daily reports.

    Returns for each brand: current signal, AI visibility score+trend+grade,
    key relationship edges (integrations, powered-by, acquisitions), and capabilities.
    Excludes competitive edges to keep output focused.

    Args:
        slugs: List of brand slugs (up to 25).

    Returns:
        Dict with "digest" array (one entry per brand) and "missing_slugs".
     Endpoint: https://geo.sig.ai/mcp

## Resources
Not captured

## Prompts
Not captured

## Metadata
- Owner: io.github.sigaihealth
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Apr 14, 2026
- Source: https://registry.modelcontextprotocol.io