AI search does not replace the foundations.
- 01
Make core services, useful expertise and evidence easy for a potential customer to find.
- 02
Keep important pages crawlable, clear, accessible and measurable.
- 03
Treat AI-only tools and files as a later question, not the starting point.
What has changed, and what has not
People can now ask search tools more detailed, conversational questions and receive a synthesised response with links to relevant sources. This can change the type of question a potential customer asks before they visit a website, as well as the amount of comparison and research they do before making contact.
For a service business, that makes clear information more important. A prospective client may ask a broad question, a specific comparison question or a follow-up that reflects their situation. The business needs useful pages that address the real work it does, the problems it helps solve and the decisions a buyer needs to make.
The important point is that this is not a reason to produce pages for every possible question. Search systems can understand related language and context. A crowded website full of thin variations is not a stronger source of information.
Use the useful-to-a-buyer test
My practical rule is simple:
If a change makes the website clearer, more credible or easier to use for a potential customer, it is likely to be worth considering. If it only claims to feed an AI system, it should not be your first priority.
This avoids an unhelpful split between traditional SEO and AI search. The same work can support both when it makes the business easier to find, understand and trust.
The five priorities for a growing business
Make the core offer clear
Start with the pages that matter commercially: the homepage, core services and the route to contact. A suitable person should be able to understand what you help with, who it is for and what a sensible next step looks like.
This is not a request to make every page shorter. It is a request to make the important information easier to find. Clear headings, specific service descriptions and a sensible page structure help a human visitor navigate the site. They also make it easier for search systems to understand the page’s main purpose.
If the offer is unclear, address that before creating a large content programme. Website Strategy and SEO should support the same customer journey.
Publish information that only your business can provide
Generic explainers are easy to create and easy to replace. The information that earns attention is more likely to contain a real point of view, practical experience, a useful framework, clearly sourced research or a detailed explanation of a decision that matters to your audience.
For example, instead of another article that defines a service in broad terms, write about the questions people ask before committing to it, the mistakes that create cost or delay, or the criteria that should guide the choice. Use the language you hear in sales calls, projects and customer conversations, without exposing confidential detail.
This does not mean every article needs a bold opinion. It means it should add something beyond a summary that could have been generated from the first page of search results.
Focused Content work can turn that existing expertise into useful pages and a sustainable publishing plan.
Keep the technical and content foundations sound
AI search does not remove the need for a website that can be found and processed properly. The content needs to be publicly accessible, crawlable and eligible to appear in ordinary search results. The experience still needs to work on a mobile device, load reliably and make the main content easy to distinguish from surrounding elements.
For an owner or marketing lead, this does not mean you need to become a technical SEO specialist. It does mean technical issues should be reviewed alongside the content and website journey, not as a separate afterthought.
Pay attention to the basics:
- a clear, stable page structure
- useful page titles and headings
- crawlable internal links to important pages
- a mobile-friendly, accessible experience
- accurate business, service and contact information
- no unnecessary duplicate pages competing for the same purpose
Structured data can remain useful where it accurately describes the page and supports eligible search features. It is not a special requirement for appearing in Google’s AI search features.
Strengthen confidence around the business
When a person asks an AI assistant or search engine to compare options, the details that make a business understandable matter. That includes the clarity of your own website, but also the accuracy of information you publish about the business.
Keep the essentials current: who you are, what you offer, where you work if location matters, how to contact you and the information a potential client needs before making a decision. Show who is responsible for expert content, identify when information has been updated, and explain claims that need context.
Do not chase inauthentic mentions or manufacture proof. Build credible, permissioned evidence and make the business straightforward to verify.
Measure the change before you make it bigger
AI-search visibility is still developing, which makes it tempting to rely on screenshots, anecdotal searches or tools that promise certainty. Use those carefully.
For Google Search, start with the existing performance data and the Generative AI reporting available in Search Console. Review it alongside the pages, queries and enquiries that matter to the business. Look for useful patterns over time rather than treating one appearance in an AI answer as proof that the strategy is working.
The goal is not an impressive-looking AI-visibility score. It is whether the right people are discovering useful information, reaching the right pages and taking worthwhile next steps. Measurement should keep the work connected to that outcome, and an independent marketing audit is one way to check that it is.
What you do not need to rush into
Several tactics are being presented as essential for AI search. For Google’s AI search features, they are not the starting point:
- creating an llms.txt file
- breaking every article into artificial chunks
- rewriting pages to capture every long-tail wording variation
- adding a special AI-only schema type
- buying links or seeking manufactured mentions
- publishing a high volume of generic AI-written articles
Some of these may have a purpose for a specific non-Google platform or internal system. That is different from treating them as a shortcut to visibility in search.
The more durable approach is to strengthen the information and experience a buyer already needs. That work remains valuable even as tools, interfaces and terminology change.
How to decide where to begin
| If this is true | Start here | Do not assume |
|---|---|---|
| Your main services are unclear or spread across weak, overlapping pages. | Clarify the offer, page roles and route to enquiry. | That an AI-search add-on can compensate for weak commercial pages. |
| You have strong expertise but little useful information available publicly. | Create a focused content plan around real buyer questions and decisions. | That every question needs its own article. |
| The site has technical or accessibility issues. | Review crawlability, page experience and important internal links. | That content alone will solve a technical barrier. |
| You are receiving conflicting AI-search advice. | Check it against the customer need and official platform guidance before investing. | That a new acronym represents a new essential service. |
| You cannot connect visibility to worthwhile enquiries. | Improve measurement and agree what commercial progress looks like. | That an AI-visibility score is the outcome. |