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AI Visibility Optimization, often referred to as Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO), is the practice of improving your brand's visibility inside AI-generated answers across products like ChatGPT, Perplexity, and Google AI Overviews. Instead of only competing for blue links, AEO focuses on how Large Language Models, LLMs, reference, cite, and rank your brand directly in their responses.

SEO optimizes web pages to rank in search engine result pages, SERPs. AEO optimizes how AI systems retrieve and summarize your brand when users ask questions. Key differences:

• ·Ranking target: SEO targets SERPs; AEO targets LLM answer boxes and citations.
• ·Signals: SEO leans on links, crawlability, and on-page structure; AEO adds answerable facts, structured data, entity clarity, and trustworthy citations that LLMs prefer.
• ·Evaluation: SEO looks at keyword rankings and traffic; AEO looks at mention rate, citation quality, sentiment, and answer share across AI platforms.

It is common to rank well on Google yet underperform in LLM search. AEO closes that gap, and Asky works on both in one system.

Each day we run structured prompt sets that are built with our proprietary algorithm. The algorithm blends real user queries, keyword research, and platform-specific patterns for the regions that matter to you. This approach outperforms prompt sets that are solely synthetic and gives a more accurate picture of reality. We then quantify:

• ·Appearance and rank in generated answers
• ·Citation coverage and citation quality
• ·Sentiment around your brand versus competitors
• ·Competitive presence and share of voice in answers
• ·Trends over time by topic, market, and language

By far most of the AI visibility tools on the market today rely on APIs to gather response data from LLMs. This approach is fundamentally flawed as the API does not reflect what real users see in the AI interfaces. This not only means that you are getting inaccurate data, but also that any recommendations based on that data will be ineffective or even harmful to your brand's AI visibility.

Asky uses front-end agents that simulate real user queries in each AI interface to get response data. This is the only way to mirror what end users actually see. We vary language, region, login state, and prompt phrasing to reflect realistic conditions that are important to your brand, and reduce bias.

Asky turns every finding into shipped work:

• ·Find the content and answer gaps where LLMs omit or misstate your brand
• ·Prioritize every action by its expected impact on search and AI visibility
• ·Create new content and refresh the pages you already have
• ·Fix supported technical issues in one click
• ·Publish precise updates to your CMS, down to the field or block
• ·Measure the impact of every change across platforms, languages, and regions
• ·Surface the social and PR sources AI engines are likely to cite

Yes. Asky supports multi-language and geography-specific brands. We run structured prompt sets in the languages you target and execute them with geographically scoped agents from specific countries and cities, so results reflect local user queries.

This lets us see how your brand is cited and described in each market, then compare visibility, citation quality, and sentiment across languages and locations. From there, we provide localized recommendations for content, schema, and entity signals that increase citations and improve tone.

Because LLM outputs vary by prompt language and user location, our multi-language prompts and geo-located agents give you a more accurate view and faster improvements in every market.

Marketing teams and leaders who own organic and AI search results, plus the content, SEO and growth teams and agencies they work with. Asky handles the repetitive work between insight and execution, so a small team can run a program that used to need many specialists.

• ·Citation tracking for frequency, quality, and source mix
• ·Sentiment analysis for your brand and competitors
• ·Competitive benchmarking and answer share
• ·Content and answer gap analysis
• ·AI optimized content generation
• ·AI crawler and parse diagnostics
• ·Specific language and geography targeting
• ·Social engagement and PR opportunity identification
• ·Prioritized next actions ranked by expected impact
• ·Content creation and refreshes of existing pages
• ·One-click fixes for supported technical issues
• ·Precise publishing to Webflow, WordPress and Sanity
• ·Impact measurement after every change
• ·MCP server access to bring your AI visibility data into the AI assistants your team already uses

An AI visibility tool tracks how AI assistants such as ChatGPT, Perplexity, Claude, and Google AI Overviews mention, cite, and describe your brand. Asky is an AI-native SEO and GEO platform that goes past tracking: it monitors the prompts your buyers ask, measures your share of answers, sentiment, and citations over time, and turns every gap into a concrete action. It then prioritizes what to do, executes it and measures the result. AI visibility tracking runs around the clock, so you see movements as the engines update.

Yes, they describe the same discipline. Generative Engine Optimization (GEO), LLM SEO, ChatGPT SEO, AI SEO, and Answer Engine Optimization (AEO) are all names for optimizing how AI systems retrieve, summarize, and cite your brand. Whatever you call it, the work is the same: strengthen the sources, structure, and signals AI engines read so they mention you more often and describe you accurately. Asky measures and improves that end to end.

Pricing depends on how many prompts you track and how much of the execution you want Asky to take on. Compare plans and pricing to find the right fit for your team.

Yes. You earn a share of every subscription you refer, and the teams you refer get a discount on their subscription. Read how the referral program works.