See your brand in every AI answer

AI Visibility Optimization, often referred to as AI 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.

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 measurements into actionable AEO playbooks:

• ·Identify content and answer gaps where LLMs omit or misstate your brand
• ·Generate the optimized articles that will get you cited and mentioned
• ·Recommend entity, schema, and page-level fixes that LLMs reliably cite
• ·Surface competitor advantages and how to counter them
• ·Prioritize pages and facts most likely to boost LLM mentions and citations
• ·Track before and after impact across platforms, languages, and regions
• ·Asky identifies social and PR opportunities that LLMs 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.

Asky makes AI search optimization simple and powerful. Marketers, growth teams, content writers, and agencies get deep analytics and precise recommendations. Busy teams get clear guidance and implementation support without needing to learn new tools.

• ·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