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Asky

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(4)5.0/5

Asky is an autonomous SEO and Generative Engine Optimization (GEO) platform that measures, prioritizes, and executes the actions that improve a company's visibility across traditional search engines and AI search. Most SEO and AI visibility tools stop at dashboards, monitoring, or recommendations. Asky closes the loop between intelligence and execution: Measure → Understand → Diagnose → Prioritize → Execute → Evaluate → Improve Asky brings SEO and GEO into one system, combining search performance data, AI visibility, citations, backlinks, technical website analysis, content intelligence, competitor insights, AI crawler activity, and a knowledge graph of the brand. It uses this context to determine what matters most, recommend the next highest-impact action, and execute supported changes directly. AI Search Visibility & GEO Asky tracks how brands appear across major AI search and answer engines, including ChatGPT, Google AI experiences, Perplexity, Claude, Microsoft Copilot, DeepSeek, Grok, and other supported platforms. Teams can monitor: - Brand visibility and share of voice - Citations and citation sources - Competitive visibility - Positioning and sentiment - Topic-level performance - Language- and geography-specific visibility - Changes in AI visibility over time Asky uses front-end agents designed to reproduce real user-facing AI search experiences rather than relying on LLM API responses. Autonomous Prioritization Asky is designed to move beyond long lists of SEO recommendations. It combines signals across search performance, AI visibility, content, backlinks, technical health, competitors, crawler activity, and connected business data to determine the highest-leverage actions for a brand. That may mean refreshing an existing page, creating new content, fixing a technical issue, improving entity representation, strengthening a topic cluster, pursuing an authority opportunity, or making a targeted change inside the CMS. Technical SEO & GEO Execution Asky analyzes issues affecting organic search performance, crawlability, indexability, rendering, structured data, internal linking, machine readability, content discoverability, and AI retrieval. For supported issues, Asky can turn findings into one-click fixes, moving technical SEO and GEO from diagnosis to execution. Content Intelligence & Execution Asky determines whether the best next action is to improve existing content, create something new, strengthen semantic coverage, improve entity representation, or make a more targeted change. The platform can identify content gaps, find existing pages with high improvement potential, generate targeted refreshes, determine what new content should be created, and produce SEO- and GEO-optimized content using the broader context of the brand. Brand Knowledge Graph At the core of Asky is a knowledge graph that models the relationships between a company, its products and services, entities, pages, topics, competitors, citations, authority signals, search visibility, and content gaps. Instead of optimizing isolated URLs and keywords, Asky uses this connected understanding to reason about a brand's overall information and authority structure and determine what should happen next. Backlink & Authority Intelligence Asky analyzes backlink and authority gaps to identify opportunities that can strengthen both traditional SEO and AI-search visibility. This includes competitor backlink gaps, AI citation sources, relevant third-party websites, and opportunities where competitors are referenced but the brand is not. Real-Time AI Crawler Logs Asky provides real-time visibility into AI crawlers and retrieval agents accessing a website. Teams can see which AI systems visit the site, which pages they access, how frequently they return, and how crawler behavior changes after optimizations are deployed. Deep CMS Execution Asky's CMS integrations are designed for precise, structure-aware execution. Rather than treating a page as one large text document, Asky can work with the underlying content model and make targeted changes to supported fields, blocks, components, and widgets while preserving unrelated content and page structure. This allows Asky to execute specific improvements without destructive full-page rewrites. MCP & Agentic Workflows Asky exposes its data and workflows through Model Context Protocol (MCP), allowing compatible AI systems and agents to work directly with Asky's SEO and GEO intelligence. External MCP servers can also be connected to Asky, enabling analytics, CRM data, internal knowledge, product information, revenue data, conversion data, and other business systems to become context for SEO and GEO decisions. Autonomous SEO & GEO Asky operates as a closed optimization loop: Measure performance, understand the brand, identify opportunities, prioritize what matters, execute supported actions, evaluate the results, and use those results to inform what happens next. The result is an autonomous SEO and GEO platform designed to continuously improve a company's presence across both traditional search engines and AI systems.

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