01
AI search optimization built on sound SEO fundamentals
AI search optimization helps make your website content easier for search systems and AI-powered answer experiences to discover, interpret, and reference when it is relevant to a user’s question. The work builds on sound SEO fundamentals: crawlable pages, useful original information, clear site structure, accessible content, and reliable facts. It is not a separate trick that can force ChatGPT, Gemini, Google AI Overviews, or Perplexity to mention a business.
My AI SEO services start with your audience, business goals, current search presence, and the pages that best explain your services. I review how the website describes your expertise, what questions it answers, whether important information is accessible, and where the content needs stronger evidence or clearer organization. Recommendations are prioritized around practical improvements rather than claims of guaranteed AI rankings.
02
Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and SGEO
Answer Engine Optimization (AEO) focuses on making pages useful for direct answers: clear explanations, well-labelled sections, concise definitions where appropriate, and content that addresses real customer questions. Generative Engine Optimization (GEO) is commonly used for work intended to improve a brand’s chances of being understood or cited in generative search experiences. Terminology varies across the industry, and no single acronym guarantees a particular platform outcome.
Some teams also use SGEO to mean Search Generative Experience Optimization or related generative-search optimization practices. I treat AEO, GEO, and SGEO as overlapping descriptions of a broader goal—not as separate magic ranking systems. The strategy should match the actual surfaces your customers use and the technical and editorial requirements those platforms publish.
03
Content and entity clarity for AI-powered search
AI-friendly content starts with a clear explanation of what the business does, who it helps, which services it provides, and what makes each service distinct. I review service pages, About information, author details, FAQs, case studies, and supporting articles for clarity, consistency, factual support, and alignment with search intent. Content should answer meaningful questions in natural language without repeating keyword lists or producing thin pages for every possible phrase.
Entity clarity means using accurate, consistent information about the business and its people across the website and legitimate external profiles. Where appropriate, recommendations may include linking to credible sources, identifying authors, documenting real experience, adding original examples, and making contact or business details easy to verify. I do not invent credentials, client outcomes, reviews, or third-party mentions.
04
Technical accessibility, structured data, and measurement
Technical review can cover robots directives, indexability, XML sitemaps, canonical URLs, internal links, page rendering, mobile usability, and relevant structured data. Schema markup should describe information that is genuinely visible and accurate on the page; it does not guarantee rich results or AI citations. Existing SEO plugins and theme output must be coordinated to avoid duplicate or contradictory markup.
Measurement combines available evidence rather than relying on a single AI visibility score. Depending on access and platform reporting, this may include Search Console performance, Bing Webmaster Tools reporting, organic landing pages, referral analytics, query patterns, indexed-page checks, and manually documented citations for a defined set of relevant prompts. AI answers can vary by user, location, time, and product, so observations are directional rather than proof of a universal ranking.
05
A practical AI search optimization process
The engagement begins with a review of your site, priority services, audience questions, and available performance data. I identify technical barriers, important content gaps, unclear entity information, and opportunities to improve internal links and structured data. Findings are then grouped by impact, effort, dependencies, and the evidence supporting each recommendation.
Implementation can include page improvements, content briefs, FAQ organization, internal-link recommendations, structured-data checks, and a measurement plan. The agreed scope makes clear which changes I will implement and which require your approval or developer support. Follow-up reviews document completed tasks, remaining issues, and any available changes in organic visibility or AI citations without promising a fixed outcome.