All You Need to Know: Agentic Browsing Update for Google Lighthouse
As one of the top SEO agencies out there, our duties extend beyond creating SEO…
There’s no hiding from it. AI search and large language models (LLMs) like ChatGPT and Perplexity are changing how businesses get found online. Of course, traditional SEO best practices are still important for staying visible across search, but to appeal to AI features and LLMs, your business website needs more than basic keywordKeywords are the words and phrases that potential customers might search for to find your business. optimisation. Machines need to be able to easily understand what your business does and who it is aimed at to be able to recommend it to users. How? With well-optimised service pages.
Your service pages tell users, search engines, and AI models everything they need to know about your services. For AI search, your pages must be clear, well-structured, and include enough relevant detail to be understood. This helps them know when to recommend your services for relevant searches.
To outperform your competitors in AI results, you need to double down on service page optimisation to keep the enquiries and leads coming in. The good news is that this guide tells you everything you need to know about optimising your service pages for AI recommendations.
Traditionally, service page optimisation makes your commercial landing pages visible in search results with keyword targeting, and makes it easy for users to understand what you do and convert.
When it comes to AI search, commercial page optimisation is a little different. To stand the best chance of appearing in AI recommendations, your service pages should clearly:
With more people using AI to find and compare businesses and services, it’s more important than ever that your service pages tick these boxes. If an LLM can’t understand your service, then it won’t be able to connect your brand with relevant user queries.
LLMs are designed to interpret meaning. To do this, they look for context, entities, relationships, and useful information on the websites they surface. If your service pages are vague, have thin content, or a confusing structure, AI tools will struggle to recommend your business for relevant search queries, which is a huge problem as it means your competitors could take your place.
What’s more, AI search is more conversational, so you need to make sure that your on-page SEO optimises your content for these more conversation-led search queries. Targeting long-tail keywords is vital, as well as making sure you have clear headings, strong internal linking, focused content, FAQs, and an optimised page structure that AI models can interpret more easily.
When you optimise for LLMs, your service pages need to be useful and well-structured. They should not leave users or search engines with any questions or doubts about what your services involve. Your content needs to be useful. Google’s helpful content guidelines can help you fulfill this.
Anything that signals your credibility should also feature on your service pages. Think case studies, reviews, accreditations, process explainers, and industry experience. All of these help AI models understand that all-important context and make it more likely that your brand’s services will be recommended to users.
You can use this checklist to make sure your service pages are set up for LLM search optimisation:
Using these questions as a guide for what to include on the main service page for SEO websites helps AI understand the service you are offering, the context, makes your content easy to extract, and matches your pages to relevant queries for greater visibility in responses.
An important part of our LLM optimisation services involves looking at service page structure. If your page structure is difficult to follow, users, search engines, and LLMs won’t be able to understand your content. AI models are looking for direct, authoritative content to recommend to users. No fluff.
We’ve touched on this above, but ideally, your service pages should have:
This makes it easier for your pages to be interpreted by AI models.
Traditionally, SEO revolved around targeting high-value search terms, weaving them throughout the body of the content and in headings. Keywords are still important for AI search as they can help reinforce relevance. However, they should never be stuffed in.
Instead, they need to fit into the content naturally, where the content fulfils user intent. Again, headings should have a question and topic-led structure instead of including keywords for the sake of it.
It’s easy to assume that AI machines and users will already understand your services. Without having a clear definition on your page, it’s unlikely that they will. To stand a better chance of having your services recommended by AI, you need to be specific.
Instead of being vague and saying that your company offers AI SEO services, for example, you need to explain what AI SEO is, what it does, and the benefit to the customer. Doing this makes it easier for users, search engines, and LLMs to understand, interpret, and recommend your services for relevant queries.
FAQs are just as important for AI search visibility because they match the queries people use for this type of search. Helpful FAQs for an AI SEO service page might include:
When you pair your FAQs with direct answers that get to the point, it gives AI tools clear, structured information to extract and summarise in response to relevant queries.
You might have the best website copy in the world, but it won’t mean anything if there are technical gremlins lurking behind the scenes, holding your service pages back from reaching their full visibility potential. Technical SEO looks at and fixes the technical elements of your web pages so they can be easily found and understood by search engines and AI models.
Technical SEO looks at things like crawlability, indexing, page speed, mobile friendliness, internal linking, content hierarchy, heading structures, and schema markup.
Schema markup, or structured data, is code that gives search engines and AI models more context about your content, flagging when it is about a service, organisation, author, or FAQs, for example. Adding this to your pages can help AI search to understand your content, putting it in a better position to recommend it.
Similarly, internal linking helps AI machines and search engines understand how your pages connect. Going back to our AI SEO service page example, you could link to other related pages, like on-page SEO services, off-page SEO services, and SEO auditing. This gives search engines and AI models a clearer picture of your expertise and how your services relate to each other.
To have your services recommended by AI models, your service pages need to be clear, well-structured, and contain useful information. If you’re not sure where to start with service page optimisation for AI search, then the team here at Click Intelligence is here to help.
All of our services are made fully bespoke to each client’s individual needs, but typically we’ll start off by carrying out an audit of your pages so we can uncover any issues and make recommendations for improvement. We’ll then work on improving your page structure and service definitions, strengthening technical SEO, schema markup, and on-page SEO signals, adding helpful FAQs, improving internal linking, and making content clear and direct for AI search engines and users. This all makes your pages easier to understand and for AI search models to recommend. It’s a win-win.
If this sounds good, reach out today to find out more about our AI SEO services, available to brands and agencies.
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