06 · AI visibility services
A business that is easier for both people and answer engines to verify and recommend.
The outcome
A business that is easier for both people and answer engines to verify and recommend.
AI visibility, sometimes called AEO or GEO, is the practice of structuring a business's online presence so systems like ChatGPT, Perplexity, and Google's AI Overviews can understand what the business does, verify that it is credible, and recommend it directly inside a conversational answer.
A growing share of research and selection now starts with an AI assistant instead of a traditional search results page. That means two businesses that rank similarly in Google can perform very differently in AI generated answers because AI systems weight clarity, structure, and verifiable specificity more heavily.
Traditional SEO focuses on ranking in a list of search results. AI visibility focuses on being clearly and confidently cited within an AI generated answer. The overlap is real, but AI visibility adds stronger requirements around structured data and direct answer formatting.
A clarity audit of existing content, schema markup implementation, direct answer content restructuring, consistent verifiable facts across the web, FAQ sections built for extraction, and ongoing monitoring of AI generated answers.
Audit how AI systems currently represent the business, identify clarity and structure gaps, implement schema markup comprehensively, restructure key content for direct extraction, and monitor and refine based on real AI answers.
Any business whose customers are likely to ask an AI assistant for a recommendation, businesses with vague website copy, and businesses that already have traditional SEO but have not addressed schema markup and direct answer content structure.
Assuming strong Google rankings automatically mean strong AI visibility, using vague marketing heavy copy, having no schema markup, inconsistent information across the web, and treating this as a one time project.
Ask whether AI systems are tested before work starts, what schema will be implemented, whether content will be restructured for direct answer clarity, how consistency across the web will be checked, and whether ongoing monitoring is part of the plan.
An initial engagement typically takes 2 to 4 weeks. Because the space is newer and changing quickly, ongoing monitoring and adjustment matter more here than in traditional SEO.
Process
A focused workflow that keeps decisions, responsibilities and progress visible from discovery through handover.
Test how answer engines describe you
Strengthen entities and evidence
Build source worthy answers
Monitor citations and evolve
FAQ
Project specific details are confirmed during discovery and written into the scope before work begins.
The practice of structuring a website and its content so AI systems like ChatGPT, Perplexity, and Google's AI Overviews can confidently understand, verify, and recommend the business within a conversational answer.
They overlap significantly but are not identical. Traditional SEO focuses on ranking in search results, while AEO focuses on being cited within an AI generated answer.
Schema markup is structured, machine readable data on a website that explicitly states facts about a business. It is one of the strongest signals AI systems use to confidently understand and cite a source.
Yes. Testing real queries an ideal customer might ask an AI assistant is the starting point of an AI visibility engagement.
No. The two overlap significantly, and the changes involved generally support both traditional SEO and AI visibility simultaneously.
An initial engagement typically takes 2 to 4 weeks to implement, though ongoing monitoring and adjustment matters more here than in traditional SEO.
It helps, but is not strictly required. Schema markup and direct answer content clarity can be implemented independently.
Vague, marketing heavy language that does not clearly state what the business offers, combined with a lack of structured data for the AI system to draw from.
Ongoing monitoring is recommended, since AI systems and how they select and cite sources are evolving quickly.