19 Services from api.getaiscan.app

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.

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

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

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

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

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

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

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

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

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.

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

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

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

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.