Your SEO dashboard still looks healthy.
Then a prospect says an AI-generated answer recommended someone else.
It is easy to assume that SEO is losing its value, or that your business now needs an entirely separate optimisation strategy for AI.
AI search is changing how answers are presented, but the systems generating those answers still need to discover, understand and assess web content. Google’s current guidance is clear that established SEO best practices remain relevant because features such as AI Overviews and AI Mode are rooted in its core search ranking and quality systems.
We have already explored how AI search is changing customer discovery. The next question is practical: how do you optimise your website for AI search while protecting the SEO foundations that already work?
AI search builds on SEO rather than replacing it.
AI search can combine information from several sources into one generated response, often with links or citations. Google uses processes that include retrieval-augmented generation and query fan-out, which means its systems retrieve relevant indexed pages and may run several related searches to build a more complete answer.
That makes the relationship between SEO and AI search fairly straightforward. If a page cannot be crawled, indexed or understood, it has little chance of being retrieved as a useful source. AI search optimisation should therefore extend a strong SEO strategy, not compete with it.
Start with the technical foundations.
Before rewriting content or adding new pages, make sure search engines can access what you already have.
Google’s official AI search guidance states that a page must be indexed and eligible to appear with a snippet before it can be shown in its generative AI features. This places familiar technical SEO work at the front of the queue.
Check that:
Important pages are crawlable and not accidentally blocked by robots.txt or noindex directives
XML sitemaps, canonical tags and redirects are accurate
Internal links make priority pages easy to find
Essential content is accessible when JavaScript is used
Pages work well on mobile devices and load without unnecessary delay
Duplicate and outdated URLs are being managed properly
This is why our SEO strategies and audits begin with the health of the whole website. Publishing more content will not solve a crawl, indexing or architecture problem.
Build content around real questions, not keyword variations.
Keyword research still matters. It shows how people describe their needs and where demand exists. However, AI-assisted searches are often longer, more specific and more conversational.
Use customer interviews, sales conversations, support requests and search data to identify the full questions behind a keyword. Then create a page that answers the main question clearly before exploring the detail, options, examples and limitations a reader needs to make a decision.
For example, a page about choosing a business website platform should not repeat “best CMS” throughout the copy. It should explain which factors change the answer, such as budget, integrations, internal skills, security and scalability.
Avoid creating a thin page for every slightly different version of the same question. Google specifically warns against producing large volumes of pages simply to capture query variations. One useful, well-focused resource is better than a collection of near-duplicates.
Give AI systems something worth citing.
AI tools can already summarise common information. Your strongest opportunity lies in publishing knowledge that is specific to your business, experience or market.
Google describes this as valuable, non-commodity content. It goes beyond repeating what is already available and gives readers a reason to trust or remember the source.
Useful evidence can include:
First-hand lessons from real projects
Original research or business data
Case studies with clear context and outcomes
Expert commentary that explains why a result matters
Practical examples, comparisons and limitations
Accurate references to reputable primary sources
Make it easy for readers to evaluate that expertise. Use clear author information where it is relevant, explain how data was gathered, include publication or review dates, and keep company and contact information accurate.
Authority is not created by sounding certain. It is built by showing how you know.
Make every page easy to navigate and understand.
Good structure helps a busy reader scan a page and gives search and AI systems clearer context.
Use one clear page title, descriptive subheadings and concise paragraphs. Place direct answers close to the question they address, then add the detail needed to support them. Lists, tables and FAQs can be useful when they genuinely make information easier to compare or find.
Internal links should also be descriptive and intentional. Connect supporting articles to relevant service pages, case studies and related resources so both users and crawlers can follow the subject through your website.
There is no need to split every answer into tiny fragments for AI. Google says there is no ideal page length and no requirement to “chunk” content into unusually small sections. The right length is the length needed to answer the question properly without padding.
Use structured data accurately, not as a shortcut.
Relevant structured data can help search engines interpret page information and make content eligible for certain rich results. Depending on the page, this may include Article, Product, LocalBusiness, Organisation or Breadcrumb markup. It must match the visible content and follow the requirements for that data type. Adding more schema does not make weak content authoritative.
There is also no special structured data required for Google’s generative AI results. Google has confirmed that it does not use llms.txt files for Search, including its AI features. Other platforms may develop different preferences, but a new file or plug-in should not take priority over crawlability, content quality and accurate markup.
For local and e-commerce businesses, keep your Google Business Profile, Merchant Center feeds and core website details complete and consistent. These established sources can help search systems understand locations, products, availability and business information.
Keep important information current and consistent.
AI-generated answers are only useful when the underlying information is accurate. Old service descriptions, discontinued products, conflicting location details or unsupported claims weaken the value of a page.
Review priority content regularly and update it when something meaningful changes. Do not change a date simply to make an old page look fresh. Improve the facts, examples, links or recommendations, then record the review clearly.
Microsoft also recommends strengthening depth, improving structure, supporting claims with evidence and keeping content current. Its AI Performance tools in Bing Webmaster Tools show which pages are cited, the queries used to retrieve them and how citation activity changes. IndexNow can notify participating search engines when important pages are added, changed or removed.
Measure visibility beyond traditional rankings.
Rankings and organic traffic still matter, but they no longer tell the whole story. AI answers can introduce your brand before someone clicks, and the source selected may change as a question, user or model changes.
Build a wider measurement view that includes:
Visibility and citations in relevant AI-generated answers
The pages and topics most often used as sources
Referral traffic from AI platforms
Engagement and conversions from those visits
Growth in brand interest and lead quality
Google’s Search Console now includes a generative AI performance report, while Bing Webmaster Tools reports AI citations, cited pages and grounding queries. Analytics can then show whether AI referrals lead to meaningful actions on your website.
Periodic manual checks can add context, but do not treat one generated answer as a fixed ranking. The more useful question is whether your brand is becoming easier to discover, trust and choose across the full search journey.
Do not let AI search distract you from the customer.
The fastest way to make AI search optimisation ineffective is to optimise only for the machine. Keyword stuffing, mass-produced articles, artificial mentions and pages written in unnatural fragments do not create genuine authority.
Use AI search as a reason to make your website more accessible, useful, specific and accurate. If the changes help customers find better answers and make better decisions, they are likely to strengthen traditional SEO too.
Strong SEO is still the smartest AI search strategy.
AI search introduces new interfaces and new ways for people to ask questions. It does not remove the need for a website that can be found, understood and trusted.
The businesses most likely to build lasting visibility will not be those chasing every new optimisation label. They will be the ones with sound technical foundations, genuinely useful content, clear authority and a consistent approach to improvement.
Koola Digital brings SEO, content and website expertise together so your visibility strategy supports how people search now without losing sight of what drives enquiries and growth. Contact us today to build a search strategy that works across traditional and AI-generated results.
