Generative Engine Optimization Services

GEO (Generative Engine Optimization) is a new layer of SEO focused on optimizing your website and content to appear in AI-generated responses (in Google AI Overviews as well as the AI answer engines). It includes:

• Structuring content for retrieval-augmented generation (RAG) systems
• Building authority through brand mentions, backlinks, and citations
• Building structured content with schema and concise summaries
• Creating answer-ready content focused on answering long-tail questions

GEO ensures your content is accessible and attractive to AI-powered engines like ChatGPT, Gemini, and Perplexity.

GEO (Generative Engine Optimization) and SEO (Search Engine Optimization) both aim to increase content visibility, but they are designed for different types of search engines and user behaviors.

Traditional SEO focuses on optimizing content for traditional search engines like Google and Bing. It’s centered around improving search rankings on SERPs by aligning with ranking factors such as keyword relevancy, keyword density, related keywords, internal linking, technical optimization, mobile friendliness, backlinks, and content optimization strategies.

GEO, on the other hand, is optimized for Generative AI search engines. Platforms like Google’s AI Overviews, ChatGPT, and Perplexity, which use natural language processing and generative models to deliver conversational answers and comprehensive responses to complex queries. The key difference lies in how content is retrieved and presented: GEO prioritizes concise structured answers, multimodal contextual relevance, and brand authority. The AI generated answers are synthesized content summaries rather than rankings on static search pages.

Google has higher search volume than all of the AI answer engines combined. With that said, though, usage of the AI platforms is increasing rapidly. In an increasingly AI-driven world, combining SEO and GEO is a key strategy to ensure your digital content performs well across the evolving search landscape and that your brand achieves greater visibility in front of your ICP overall. It’s not a question of whether you should focus on one or the other, but rather you should do BOTH SEO and GEO.

Generative engines are AI-powered search platforms that generate responses based on vast amounts of data, rather than returning a list of links like traditional search engines. Instead of indexing and retrieving static web pages, generative AI tools such as ChatGPT, Google’s Generative Experience, and Claude use generative models to create nuanced responses, conversational answers, and comprehensive answers to search queries.

These engines process digital content using natural language processing, prioritize contextual relevance, and often cite reputable sources or authoritative content in a more synthesized, human-like way. The goal is to deliver enhanced user experiences through reliable sources, valuable insights, and direct answers tailored to the user’s intent.

With hundreds of millions of monthly users engaging in active user sessions, generative engines are rapidly reshaping how people search—and how brands need to optimize their content distribution strategies.

Generative AI engines use artificial intelligence, natural language processing, and generative models to interpret search queries and deliver personalized content in the form of conversational responses.

Unlike traditional search engines that match keywords to indexed pages, AI-driven platforms like Google AI Overviews and ChatGPT synthesize credible content from reliable sources, drawing from a list of sources to construct comprehensive responses or concise answers. These platforms are trained on vast amounts of data and rely on real-time content processing, making fresh content, authoritative sources, and ongoing adaptation critical.

The engine evaluates contextual relevance, user interaction signals, and performance of SEO content to determine what information to serve. As a result, Generative AI search results are more fluid, user-centric, and focused on delivering practical strategies and actionable insights in a conversational tone.

GEO (Generative Engine Optimization) is essential because the search landscape is shifting from static SERPs to AI-driven platforms that prioritize contextual relevance, accurate responses, and enhanced user experiences.

With tools like ChatGPT and Google’s Generative Experience becoming the go-to for complex queries, optimizing for generative AI search results ensures your content is cited, summarized, and delivered to a broader audience through credible content and authoritative sources.

As user expectations evolve toward seamless experiences and reliable sources that provide comprehensive answers, GEO gives you a competitive edge. It enables your brand to stay visible where active users are spending time—and where valuable insights are surfaced.

In this revolutionary tool era, GEO is no longer optional. It’s a critical factor in any well-rounded SEO strategy, ensuring your content meets both performance metrics and the demands of modern generative search platforms.

AI SEO is the application of AI-powered tools and optimization techniques to increase a brand’s visibility in both traditional and AI-driven search engines. It enhances content creation, search visibility, and ranking performance by aligning with how both humans and machines understand and retrieve content.

AI SEO:

• Helps content creators optimize for both human readers and generative search engines
• Enhances keyword discovery and content relevance using AI-powered keyword research tools
• Improves visibility in featured snippets, answer boxes, and voice search
• Identifies content gaps and semantic opportunities using advanced analytics
• Automates structured data markup and technical SEO improvements
• Supports long-tail and conversational queries with precision
• Increases click-through rates by aligning with evolving user behavior and search intent

AI SEO helps B2B businesses achieve compounding growth by creating a flywheel of visibility, relevance, and trust. Here’s how:

• Optimizes high-quality, evergreen content to continuously rank across traditional and AI-driven search engines.
• Increases visibility in featured snippets, knowledge panels, and AI-generated answer boxes over time.
• Builds topical authority and domain trust through consistent entity-based SEO and structured content frameworks.
• Continuously improves keyword rankings and user engagement through real-time analytics, content optimization, and performance tracking.
• Identifies and fills content gaps using advanced keyword research tools and AI-powered content analysis.
• Enhances conversion rates by delivering relevant answers aligned with evolving user queries and search behaviors.
• Supports long-term digital strategy with structured data, schema markup, and semantic search techniques that AI engines favor.

Answer Engine Optimization (AEO) is a subset of SEO services focused on optimizing content to be cited, referenced, or summarized in AI-generated answers by tools like ChatGPT, Claude, or Google’s AI Overviews. It involves creating structured, high-quality content, optimizing schema markup, increasing topical authority, and reinforcing brand and author credibility—especially for larger companies and data-driven businesses looking to expand their online presence.

What is Entity SEO?
Entity SEO involves optimizing your content around people, places, organizations, and concepts that Google and AI engines recognize as “entities.” It improves your visibility in:

• Knowledge panels
• Generative AI results
• Featured snippets

By associating your brand with relevant entities (e.g., topics, industries, thought leaders), you help search engines connect your content to authoritative answers and user intent.

LLMO (Large Language Model Optimization) refers to the technical and content strategy required to improve your brand’s inclusion in LLM-generated outputs. This includes:

• Using structured data and semantic HTML
• Optimizing for conversational queries
• Emphasizing authoritative, first-party insights
• Building entity-rich content that models can parse, retrieve, and cite