Traditional SEO (Search Engine Optimization) is rooted in optimizing for traditional search engines like Google and Bing. You run audits, create content, optimize meta tags & structured data, and build backlinks so that your pages rank high and users click through. The goal is traffic and visibility via the SERPs.

By contrast, GEO (Generative Engine Optimization) is about shaping your digital presence so that AI-powered search systems (ChatGPT, Gemini, Perplexity, “AI overviews,” etc.) see your brand as an authoritative source and cite it directly inside AI-generated answers. Instead of just chasing clicks, GEO strives for in-answer presence which mean getting your content included, summarized, or recommended inside a generative engine’s response.

Here are some key contrasts:

• Audit vs. AI Prompt Analysis: With SEO you audit your site for technical, content, and backlink issues. With GEO you also analyze how LLMs respond to prompts and reverse-engineer those responses to engineer your content.
• Optimize Content vs. Format for AI: SEO optimization often emphasizes keywords, readability, and structured data. GEO demands that you format your content (with entity signals, clear context, semantic cues) so it’s easily parseable by LLMs.
• Structured Data vs. AI-friendly structure: In SEO you lean heavily on schema/JSON-LD, schema markups to tell Google what your content means. In GEO you embed micro semantic signals (entities, intent, vector alignment) so AI overviews and generative engines can interpret and cite your pages.
• Keyword rank & traffic vs. citation & “in-answer” authority: Traditional SEO tracks impressions, click-through rate, rankings, sessions. GEO tracks how often AI engines cite your content (or include you in summaries), the “copilot mentions” or AI overviews, and how your brand shows up in AI overviews or AI-generated summaries.
• Digital marketing synergy vs. future-proofing: Traditional SEO remains a key part of digital marketing. But GEO is forward-looking by helping you stay ahead of AI-powered search transformation, making your content act like a “copilot” recommendation rather than just a link.

In short: SEO gets you seen; GEO gets you cited and trusted inside AI responses. They overlap, but GEO is the evolution of SEO for a world where users often start with AI search, not just blue-link pages.

In Short GEO and AI SEO / AIO / AEO / LLMO are  largely variations on the same core idea optimizing content to perform well in AI-powered search  but each acronym emphasizes slightly different angles or goals in that space.

Here's some breakdown:

• AI SEO / AIO (Artificial Intelligence Optimization or AI Search Optimization):
  This is the broad umbrella term. It refers to any optimization techniques that involve AI systems  from content generation to signal tuning  to improve visibility in AI search engines (ChatGPT, Gemini, Perplexity, etc.).
• GEO (Generative Engine Optimization):
  GEO narrows the focus specifically to generative AI engines (LLMs, retrieval-augmented generative systems) and aims to have your content cited, recognized, or used in AI-generated answers. It’s about optimizing for those AI summary/answer surfaces
• AEO (Answer Engine Optimization):
  AEO focuses on making your content extractable as direct answers. Think featured snippets, response boxes, or voice assistant replies. It overlaps with GEO, but often is more aligned with structured data, Q&A formatting, and being picked up by “answer engines” (Google’s AI Overviews etc.). 
• LLMO (Large Language Model Optimization):
  LLMO is about how content is processed and understood by large language models themselves (ChatGPT, Gemini, Claude). The aim is to make your writing structure, entity signals, and discourse easy for LLMs to parse, trust, and reuse.

Because GEO (Generative Engine Optimization) builds on the foundation of SEO, we require several prerequisites and best practices before running our GEO services for your business. These ensure your site is ready for optimization in generative search and AI-powered search engines.

Here are the core requirements and precondition:

• Well-Established Traditional SEO Baseline.
  Your website should already follow solid SEO practices: good site architecture, crawlability, meta tags, responsive design, fast performance, clear internal linking, and baseline keyword strategies. GEO is not a substitute, it layers on top of traditional SEO strategies.
• Content Infrastructure & Clean Technical Stack:
  • Properly implemented structured data / schema markup (e.g. Article, FAQ, Product, HowTo)
  • Semantic HTML tagging (headings, sections)
  • Clean URL structure and minimal technical issues (404s, broken links)
  • Site speed, caching, server rendering where needed
  • Ability to add or update metadata and markup dynamically
• Data & Analytics Access.
  We need access to your analytics, search console, traffic data, and ranking reports so we can monitor changes in search engine rankings, AI search results, and visibility shifts.
• Content Ownership & Flexibility.
  You must have control over your content (CMS, ability to edit, reoptimize, add new pages). We’ll often need to optimize content, restructure, prune, or add new pages for AI-friendly formatting, semantic depth, or to respond to AI summaries and AI overviews.

To track your visibility in AI search — where your brand may be cited, summarized, or recommended — we use specialized tools and processes tailored for generative search engines (ChatGPT, Gemini, Perplexity, etc.). Here’s how we do it:

• Multi-platform monitoring.
  We check performance across major AI platforms / assistants (ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, Bing AI) to see where your content appears in AI search results or AI overviews.
• Scheduled audits & snapshots.
  At fixed intervals (daily, weekly, monthly), we generate visibility snapshots (who’s citing you, what queries triggered mentions) to detect trends and shifts.
• Citation & mention detection.
  We detect when AI-generated answers use your domain, brand name, or content in their responses. We also track which source links the AI engine draws from — helping you understand which pages the AI relies on as references.
• Prompt and query tracking.
  We simulate or monitor prompts / queries that users might enter into AI assistants, to see if your content surfaces under those prompts. This gives insight into which queries your content gets recognized for.
• Sentiment & framing analysis.
  We assess how your brand is described in AI responses (tone, accuracy, representation). A mention is one thing; how you're framed matters for trust and “dominate AI” positioning.
• Performance benchmarking.
  We compare your AI visibility vs. competitors  who is more frequently cited or included in AI answers to spot gaps and opportunities.
• Trend & anomaly alerts. 
  If visibility rises or falls sharply in a given AI model, our system flags it so you can investigate (algorithm change, prompt shift, content change).
• Correlation with SEO metrics. 
  We cross-check AI visibility data with traditional SEO metrics (rankings, traffic, CTR) to see how geo techniques / generative engine optimization efforts are impacting overall visibility and ROI.
• Dashboard & reporting.
  All visibility data is aggregated into a unified dashboard for easy review. This is part of how our GEO services help you stay ahead in evolving AI search.

By combining these methods, we continuously validate that your content is not just optimized for AI, but actually visible in AI-generated search outputs.

We are not provide In-House training for this subject. Not yet! The AI landscape is evolving rapidly, with platforms like ChatGPT, Gemini, Perplexity, and Claude all competing to define the future of AI-powered search. Because each AI platform uses different algorithms and retrieval systems, standardized AI Optimization training is still in development.

However, DoxaDigital continues to offer in-house SEO training programs for companies that want to strengthen their technical SEO, content optimization, and search authority. These foundational skills are essential prerequisites before moving into Generative Engine Optimization (GEO) ensuring your team is ready to dominate both traditional search and the emerging AI search ecosystem

No, you can't target specific keywors as AI agents and generative AI models don’t rely on fixed keywords the way traditional SEO might. Instead, they use synthetic queries, user context, and memory/personalization to fetch and summarize content. In other words, you can’t guarantee that a particular “keyword” will trigger an AI answer.

What we can do with our tailored generative engine optimization is optimize the context, entities, semantic intent, and surrounding signals  so when AI algorithms interpret a query (in AI mode, through AI tools or AI overview systems), your content is more likely to match. Our expert GEO approach aligns with how AI platforms evolve, helping your content stay relevant and authoritative in the shifting AI ecosystem

No, we don’t provide guaranteed results for any specific LLM platform such as ChatGPT. Unlike SEO services, where ranking factors are relatively measurable, AI models evolve constantly. Their algorithms, data sources, and ranking logic change faster than any fixed framework can adapt.

Our focus is on maintaining long-term AI visibility and adaptability. We continuously refine your content structure, entity relationships, and contextual signals to help AI systems recognize your brand’s authority. While we can’t promise fixed output, GEO ensures your content remains aligned with evolving AI technology, giving your SEO efforts a future-proof edge in the generative era.