We help brands increase citation share, recommendation visibility, and entity authority across major AI search platforms through measurable GEO and AEO programs.

An AI search agency helps brands become easier to understand, cite, and recommend across platforms such as ChatGPT, Perplexity, Gemini, and Google AI. The work includes entity optimization, content restructuring, schema, authority development, prompt tracking, and citation analysis.

Initial technical, entity, and content improvements can be implemented within the first four to eight weeks. Measurable citation changes commonly require several months because AI platforms need time to discover, interpret, and trust updated content and external brand signals.

SEO improves rankings and traffic from traditional search results, while AI search optimization improves brand mentions, citations, and recommendations inside AI-generated answers. Doxadigital integrates both disciplines because technical quality, crawlability, content authority, and structured data support visibility across both environments.

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.

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.

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.

Yes. Doxadigital can optimize prompts, content, schema, and authority signals for Bahasa Indonesia and English queries. The process accounts for local terminology, language variations, Indonesian search behavior, and the platforms that support Indonesian-language answers.