19 Services from api.getaiscan.app

Audits any website URL and returns AI visibility scores covering AEO, GEO, Agent Readiness, and MCP Readiness in about 60 seconds

Compares a brand's AI visibility against a named competitor within a specific market niche, measuring how often each is named by AI systems.

Audits any website URL for AI visibility across four dimensions: AEO, GEO, Agent Readiness, and MCP Readiness, plus brand mention frequency in AI responses

Analyzes a website URL and returns its Generative Engine Optimization (GEO) score, measuring how well the site is optimized for AI-generated search results and visibility in LLM-powered search engines.

Audits a brand's AI visibility by scoring AEO, GEO, Agent Readiness, and MCP Readiness, plus measuring how often AI systems actually name the brand in its niche.

Audits a website and returns a full AI visibility report with AEO, GEO, Agent Readiness, and MCP Readiness scores plus brand visibility metrics

Audits a website URL for AI visibility, returning scores for AEO, GEO, Agent Readiness, and MCP Readiness along with brand visibility metrics.

Generates an llms.txt file for a given website to improve its AI/LLM discoverability and readiness

Checks a website's agent-related files (e.g. llms.txt, agents.json, MCP manifest) to assess its MCP Readiness and agent discoverability

Audits a website's MCP (Model Context Protocol) readiness as part of an AI visibility assessment

Audits a website URL and returns its Answer Engine Optimization (AEO) score, measuring how well the site is optimized for AI-driven search and answer engines.

Compares two websites head-to-head on AI visibility scores including AEO, GEO, Agent Readiness, and MCP Readiness

Generates an MCP (Model Context Protocol) JSON configuration for a given website based on its AI visibility audit

Checks whether a website has a valid llms.txt file and evaluates its AI-readiness configuration

Audits a website's structured data schema for AI visibility and readiness, including AEO, GEO, Agent Readiness, and MCP Readiness scores

Analyzes a website URL and generates an AI visibility fix pack with actionable recommendations to improve AEO, GEO, Agent Readiness, and MCP Readiness scores

Audits a website's MCP (Model Context Protocol) readiness as part of an AI visibility assessment

Generates actionable AI visibility improvement recommendations for a brand based on previously identified weak spots in AEO, GEO, Agent Readiness, or MCP Readiness scores.

Checks the health/availability of the AIScan AI visibility auditing service before submitting a full website audit.