AI optimisation is the process of positioning your brand, so that AI tools, like ChatGPT and Gemini will mention and cite you as a trusted source. If your content isn’t optimised for AI, you risk losing clients to competitors who are in an ever evolving search landscape.
At isev, we understand how important positioning your business for AI is, we can help to get your website cited by AI, turning your brand into the definitive, “go-to” source…
This is the strategy behind getting your content to appear in AI responses. It’s the steps that you can do to make your website more likely to be understood and then used by AI models.
The goal: is to be the trusted source that AI chooses to quote or cite when providing answers to people’s questions.
As more people rely on AI to find information, relying on being found by traditional search engines alone is not enough. It’s not just about ranking in search results, it’s about ensuring your content can be accurately extracted, summarised, and reused by AI when generating answers.
We approach AI optimisation with a specialised focus on three key areas: Answer Engine Optimisation, Generative Engine Optimisation, and Large Language Model Optimisation.
With the way the people search shifting, more and more businesses like yours are looking to invest in AI optimisation to future-proof their digital presence.
Search used to be centered around getting clicks to your website, but in recent years this has shifted and is continuing to evolve. AI is simplifying the process of getting people the answers they are searching for. Whether that’s, within AI chatbots like ChatGPT, Gemini, Perplexity or, in search under AI overviews.
This means that while optimising your website for search results is important, and will play a significant role in your website success, there is now an entirely new market of “Answer Engines.” Optimising for AI ensures you don’t miss out on clients who are moving away from list-based search results in favor of AI-generated summaries.
AEO, GEO and LLMO are what we like to call ‘the three pillars’ of AIO.
As there is a lot of overlap about how to optimise for each of these, they are often confused with one another. Despite this, there are key differences between the three;
To summarise…
Successful answer engine optimisation will result in your being the quick answer in an AI overview. It is a strategy that focuses on positioning your website content to be extracted, summarised and cited by AI.
Impact: This will help your content can be found in featured snippets, voice assistance and Google AI overviews.
Large Language Model Optimisation is about becoming part of an AI’s “knowledge base.” It ensures that when anAI generates a recommendation or an example, it mentions your brand specifically.
This is seen within Generative chatbots like ChatGPT, Gemini or Perplexity.
We take a strategic approach to position your website for this, and focus on key optimisations to position your business to be the chosen source within AI. This includes pushing brand mentions, optimising content, optimising meta and technical data.
GEO is the practice behind how you can get AI to recognise and cite your content within AI generated responses that require more in-depth answers.
The Result: The type of result you see from GEO will generally be a summarisation of the topic and a citation. When a user asks for an in-depth comparison or guide, GEO ensures the AI summarises your unique insights and provides a direct citation back to your site.
The core strategies used to optimise websites for AI optimisation, are not entirely new or different from SEO. As such, work done for AI optimisation will go hand in hand in boosting your websites SEO.
The key differences are:
Strong AI Optimisation strategies and positioning should result in your business being selected, ‘trusted’ and cited by AI systems when generating an answer.
Strong SEO strategies result in higher ranks and in driving more organic traffic to your website.
Remember, AI optimisation is not a replacement for SEO. It’s an extension of it.
AI systems use a combination of the answering abilities of large language models with up-to-date information from the web. The system evaluates factors like content quality, relevance, and authority, then selects the most accurate and useful answer.
Our strategy focuses on both improving your existing content and creating unique insights. We help you highlight the original data, real-world case studies, and expert opinions that only your business has.
By giving AI a reliable and unique source to pull from, we make your brand the one it chooses to cite.
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