Brand Wiki

Crawls a brand website to build an entity map, brand wiki, evidence claims and schema, then links them to ListeningMind search demand to produce an action plan, entity gaps, coverage and page signals. GEO/AEO teams use it to fix content so AI answers describe the brand correctly. Demand data exists for Korea, Japan and the US; demand and category context can also be imported from Intent KG runs.

How a result is made

create_project: Create a project for the brand site.
discover_urls: Collect candidate URLs from sitemaps and links.
update_crawl_settings: Adjust crawl scope such as max pages if needed.
crawl_pages: Crawl the selected pages.
start_entity_analysis: Start the entity, wiki and claim analysis.
get_analysis_status: Poll until the analysis is done.
get_analysis: Read the entity map and wiki.
get_kg_link: See whether a category Intent KG is linked (0 credits).
import_demand_from_ontology: If a KG exists, import demand keywords from it (0 credits).
fetch_demand_live: Otherwise fetch demand live from ListeningMind (spends credits).
import_category_context: Import the KG's category knowledge as wiki context.
start_action_plan: Build the action plan linking demand to entities.
get_action_plan_status: Poll until the plan is done.
start_entity_gap: Find missing entities and facts.
get_entity_gap_status: Poll until the gap analysis is done.
start_coverage: Evaluate coverage of AI questions.
get_coverage: Read the coverage report.
start_page_signals: Score per-page AI-readability signals.
get_page_signals: Read the page signals.
generate_entity_page: Draft canonical pages for entities that need them.
get_project: Read the full result bundle.
export_project: Export wiki, JSON-LD, llms.txt or CSV.

Agents: llms.txt · agents.md · MCP · OpenAPI. Every page also answers Accept: text/markdown.

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데이터: ListeningMind DaaS · Google·Naver

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