AI Optimization (AIO and GEO)

The internet is being 'chunked up' by AI. Whether that be Open AI, Gemini, Claude, Peplexity, or Llama, we're in a world where the entire internet is being reduced down to the snippets that best exemplify answers and the easiest path to conversion. In this space, that takes a new strategy on how to optimize your websites and beyond.

*Phrasing enters the chat*

We've developed a strategy for competing in this new world. While we don't want to abandon the best practices of SEO, social media content creation, and so forth, it's time to revisit how we do each of those things precisely to additionally provide value to AI. That way, we can not only be discoverable in AI answer boxes but also recommended for conversion by AI agents.

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Satisfy the needs of LLMS

Creating content that speaks to LLM Models

There is a balance to be struck between optimization of content on the page, content structure, and additional content needed for the AI bots to understand and index your content. Furthermore, you need to speak directly to their needs in order to be the most meaningful snippet for their needs.

We've built a process for creating technical content and restructuring typical user content so that it works well for human users and our (eventual) robot overlords. Through this process, we're able to actually lift your relevance to the respective AI models and increase the likelihood that they share your links or recommend your products.

Frequently Asked Questions

Find answers to common questions about our agency and services.

When it comes to the differences, GEO (Generative Engine Optimization) generally refers to the visibility in generative search results like the AI Overview in Google. Then there is AIO (Artificial Intelligence Optimization) that speaks to being optimized to appear in agentic conversations. This would be about details that are in your Chat GPT discussions and Gemini Assistant discussions, not just a singular answer.

Getting into the AI Overview of Google (and Bing) is about taking your content and making it much more snippet-friendly. This is done by a combination of HTML sequencing, schema markup, and content structure itself. AI certainly favors certain combinations as it looks to get a concise answer to complicated questions.

We build strategies for doing that, but we also don't discount the future. The future is likely going to be much more heavily reliant on agentic search than just AI overviews. AI Overviews are just the first step of many.

As new as this is to the market, there are a number of ways that we're measuring success. We target specific queries and monitor those responses via agentic AI research and reporting on those in dashboards. We also monitor the changes in referrals from various AI resources.

There are a number of ways to monitor success. We have some proprietary steps that we're taking to see if we can't take our own monitoring to the next level but those are actually in Beta phase right now of seeding and testing.