Find visibility gaps, receive clear recommendations, and get implementation support.
AI-SEO O₂ is an AI-powered audit, recommendation, and implementation-support platform designed to improve how effectively a website can be discovered, understood, and referenced across traditional search engines and AI-driven discovery platforms.
The platform evaluates three connected areas: Search Engine Optimisation, AI Engine Optimisation, and Generative Engine Optimisation. Together, these influence whether a business appears in Google search results, AI Overviews, conversational search responses, and answers generated by platforms such as ChatGPT, Gemini, Copilot, and Perplexity.
Traditional SEO tools often focus heavily on rankings, keywords, and technical errors. These remain important, but AI-led discovery introduces additional requirements. Search and AI engines need to understand the business clearly, identify its services and expertise, interpret page structure, verify supporting information, and locate content that directly answers user questions.
AI-SEO O₂ identifies visibility gaps across these areas and converts the findings into clear, prioritised recommendations. Instead of presenting only an audit score or a long list of technical issues, the platform explains what should be improved, why it matters, which pages are affected, and what action should be taken.
The platform also supports implementation, helping businesses move from diagnosis to practical improvement. This can include technical SEO changes, metadata optimisation, schema implementation, internal linking, content restructuring, AI-readiness improvements, and page-level optimisation.
AI-SEO O₂ can support marketing teams, SEO professionals, agencies, website managers, and business owners who need a structured view of their website’s current visibility and a practical roadmap for improvement.
Key features and advantages
- Technical SEO audit
Review crawlability, indexation, page speed, mobile usability, internal links, canonical tags, sitemaps, robots directives, broken links, and other technical elements. This helps identify issues that may prevent search engines from accessing or evaluating the website correctly. - On-page SEO analysis
Evaluate page titles, meta descriptions, headings, content depth, keyword alignment, page structure, image information, and search intent. Recommendations help improve relevance, usability, and organic-search performance. - AI Engine Optimisation audit
Assess whether AI systems can clearly understand the company, its services, areas of expertise, locations, people, and supporting evidence. This improves the likelihood of accurate interpretation by AI-powered platforms. - Generative Engine Optimisation review
Analyse whether content is structured in ways that support summarisation, citation, comparison, and inclusion in AI-generated answers. - Schema and structured-data review
Identify missing, incomplete, or unsuitable schema markup. Structured data can help search engines and AI systems interpret organisations, services, articles, FAQs, people, products, and locations more accurately. - Content-gap identification
Highlight important customer questions, topics, use cases, and decision-stage content that the website does not adequately cover. This supports stronger topical authority and broader search visibility. - Page-level recommendations
Provide specific guidance for individual pages rather than applying generic advice across the entire website. This makes implementation clearer and more relevant. - Prioritised action roadmap
Organise recommendations by impact, urgency, and implementation effort. Teams can address critical issues first and plan improvements more efficiently. - Implementation support
Receive support in applying recommended changes across technical SEO, metadata, content structure, schema, internal linking, AI-readiness, and other identified areas. This helps businesses move beyond the audit and complete the required improvements. - Ongoing monitoring
Track website changes, new issues, and visibility improvements over time. Regular monitoring helps maintain performance as search and AI platforms continue to evolve.
AI-SEO O₂ is designed to move businesses through the complete visibility-improvement process: identifying gaps, prioritising actions, and supporting implementation. The goal is not simply to generate an audit score, but to help teams make practical changes that improve visibility across Google, AI Overviews, ChatGPT, Gemini, and other AI-powered discovery platforms.
SEO focuses on improving visibility in traditional search-engine results. AIO focuses on helping AI systems understand and retrieve business information. GEO focuses on improving the likelihood that content is included, referenced, or cited in generative answers.
No legitimate SEO or AI-visibility platform can guarantee rankings, AI Overview inclusion, or citations. AI-SEO O₂ identifies issues and opportunities that can improve visibility when the recommendations are implemented correctly.
Most publicly accessible websites can be audited. Websites behind logins, restricted environments, or complex technical systems may require additional access or configuration.
Yes. AI-SEO O₂ provides both site-wide findings and page-level recommendations, helping teams understand exactly where changes are needed.
Keyword, search-intent, and content-opportunity analysis can be included depending on the selected plan and audit scope.
Yes. The platform can review existing structured data, identify missing or incorrect markup, and recommend suitable schema types for relevant pages.
AI-SEO O₂ reviews content, authority, technical, and structural signals that may influence inclusion in AI-generated search experiences. However, inclusion cannot be guaranteed.
Yes. Implementation support can include technical SEO, metadata, content optimisation, schema, internal linking, page restructuring, and AI-readiness improvements.
A full audit is useful after a website launch, redesign, major content update, or technical change. Ongoing monitoring is recommended for active websites that publish content regularly or operate in competitive markets.
It reduces manual analysis and provides structured recommendations, but experienced review remains valuable for strategy, prioritisation, implementation, and competitive interpretation.