How AI Is Changing the Way Businesses Appear in Search Results

If your website traffic from Google has changed in the last 12 months and you cannot explain why, you are not alone. Business owners across almost every sector are reporting shifts in organic visits, changes in the types of queries that bring people to their sites, and in some cases, significant drops in clicks despite holding the same ranking positions.

The reason is not a penalty. It is not a technical error. It is a fundamental change in how Google is presenting search results, driven by AI. This post explains what has actually changed, how it affects your business, and what you can do about it.

What has actually changed about Google search in the last 12 months?

The most significant change is the rollout of AI Overviews, which are AI-generated summary answers that appear at the top of search results for a growing range of queries. Instead of showing a list of links first, Google now generates a written answer and places it above everything else on the page.

This is not a minor cosmetic update. It changes the fundamental dynamic of search. A user who gets a complete answer at the top of the page has less reason to click through to a website. This is called a zero-click search, and the proportion of searches that end without a click has increased substantially as AI Overviews have expanded.

AI Overviews are not the only change. Google has also introduced AI-organised results pages for certain categories, particularly shopping and travel, where the layout is restructured based on what AI determines to be the most useful format for that query. Featured snippets, People Also Ask boxes, and knowledge panels have all been influenced by the same underlying shift towards AI-generated presentation of information.

Alongside this, other AI-powered search tools such as Perplexity, ChatGPT Search, and Microsoft Copilot are drawing search activity away from Google entirely for certain query types. The share of searches that happen inside AI tools rather than traditional search engines is growing. For businesses that have relied entirely on Google organic traffic, this represents a meaningful structural change in how people find information.

How AI Overviews decide which businesses and sources to feature?

AI Overviews are generated by Google’s AI pulling information from across the web and synthesising it into a single answer. That answer cites sources, and those citations appear as links within the overview itself.

Being cited in an AI Overview is not the same as ranking number one in traditional search. The selection process is different. Google’s AI prioritises sources that are clear, authoritative, well-structured, and directly relevant to the query being asked. A site that ranks well for a keyword does not automatically get cited in the AI Overview for that keyword.

The factors that influence whether a source gets cited include:

• Topical authority – sites that cover a topic in depth and consistently, rather than touching on it occasionally, are more likely to be treated as authoritative sources
• Content structure – well-organised content with clear headings, direct answers, and logical flow is easier for AI to extract and summarise
• E-E-A-T signals – Google’s framework of Experience, Expertise, Authoritativeness, and Trustworthiness applies directly here. Author credentials, external mentions, and factual accuracy all matter
• Direct answers to specific questions – content that asks and answers a specific question clearly is more likely to be pulled into an AI Overview than content that discusses a topic broadly without landing on clear conclusions
• Structured data – schema markup that makes the content machine-readable helps AI systems understand what information a page contains and what it means

It is worth understanding that AI Overviews are not static. Google’s AI continues to update its understanding of which sources are most reliable for which topics. A business that builds genuine depth and authority in its area over time is better positioned than one that tries to optimise for a single query in isolation.

Why some businesses lose traffic and others gain it as AI search grows?

The businesses losing traffic most sharply are those that relied on informational content to drive visits. If your strategy was built on ranking for questions that users ask at the research stage of the buying process, AI Overviews are now answering many of those questions directly. The user gets the answer without visiting your site.

Businesses that are gaining visibility, or at least holding their position, tend to share a few characteristics. They produce content with a clear point of view rather than restating common knowledge. They have genuine expertise or experience in their field that shows in their content. They provide information that AI cannot easily replicate, such as proprietary data, client case studies, original research, or highly specific practical guidance.

The businesses least affected are those with strong branded search, meaning users who are specifically looking for them by name, and those in categories where local intent or transactional queries dominate. If someone searches “plumber in Manchester” or “buy running shoes size 9”, AI Overviews are less likely to fully displace the links. The intent is too specific and too commercial for a summary answer to satisfy it.

Where the impact is most acute is mid-funnel informational content. If your blog or resource section was generating traffic from queries like “how does X work” or “what is the best Y for Z”, that traffic is under pressure. Not necessarily gone, but reduced, and declining further as AI Overviews expand to more query types.

The content and technical factors that improve your chances of appearing

Getting cited in AI Overviews or appearing prominently in AI-powered search results requires a different approach to content than traditional SEO alone. The principles are compatible, but the emphasis shifts.

On the content side, the most important changes are:

• Answer questions directly and early – do not bury the answer in the third paragraph. State it in the first two sentences after the heading, then expand on it. AI systems, and users, reward clarity.
• Use question-based headings – structuring content around the questions your audience actually asks makes it easier for AI to match your content to relevant queries
• Write with genuine expertise – generic content that summarises what others have already said offers little value to an AI system that has access to the same sources. Original insight, specific examples, and concrete guidance give you a reason to be cited
• Build topical depth, not just breadth – a site with 10 thorough articles on a specific subject outperforms a site with 100 thin articles covering many subjects loosely
• Include author information and credentials – bylines, author bios, and professional credentials support E-E-A-T signals that AI systems use to assess trustworthiness

On the technical side, structured data is the most actionable lever for most businesses. Schema markup is code added to your website that labels your content so search engines and AI systems can understand exactly what it represents. For a local business, that means marking up your address, opening hours, and service area. For a business with FAQ content, that means marking up questions and answers so they are machine-readable. For an e-commerce business, that means product schema including price, availability, and reviews.

Structured data does not guarantee AI citation, but it makes your content significantly easier for AI systems to parse and use. A page with no schema is harder to interpret. A page with well-implemented schema is clearly labelled and easier to include in AI-generated answers.

Page speed and technical health still matter. A slow or technically broken site creates friction for both users and crawlers. AI systems rely on the same crawl infrastructure as traditional search, so the fundamentals of technical SEO remain relevant.

What an AI visibility audit covers and why businesses are investing in one now?

An AI visibility audit is a structured review of how a business currently appears, or fails to appear, in AI-powered search environments. It covers both traditional search with AI Overviews and other AI search tools such as Perplexity and ChatGPT Search.

The audit looks at several areas:

• Citation analysis – are you being cited in AI Overviews for the queries that matter to your business? If not, why not, and what would need to change?
• Content gap identification – which queries in your category are generating AI Overviews, and do you have content that addresses them with sufficient depth and clarity?
• Structured data review – is your schema markup complete, accurate, and correctly implemented across the key content types on your site?
• E-E-A-T assessment – does your site demonstrate genuine expertise and authority in a way that AI systems can recognise? This includes author signals, external references, and the quality of your factual claims.
• Competitor benchmarking – who is being cited in your category, and what are they doing that you are not?

Businesses are investing in AI visibility audits now because the cost of doing nothing is rising. Every month that passes with a competitor being cited in AI Overviews instead of you is a month of queries where your brand is not visible at the most prominent point on the page. For businesses where organic search is a meaningful source of leads or sales, this compounds quickly.

The other reason is that the changes required are not all quick wins. Building topical authority takes time. Implementing structured data across a large site takes time. Getting cited consistently in AI search environments is the result of systematic effort, not a single fix. The earlier a business starts, the less ground it has to make up.

For businesses that have noticed traffic changes but not been able to explain them, an AI visibility audit provides a clear diagnosis. It shows where visibility has been lost, where it remains strong, and what actions will have the most impact. It gives business owners a structured answer to “what is actually happening to our search visibility and what do we do about it?”

Start understanding your AI search visibility

The businesses that adapt to AI search now will be in a stronger position as these changes deepen. The ones that wait will find themselves further behind and with more work to do to catch up.

If you want to understand how your business currently appears in AI-powered search, where the gaps are, and what to prioritise, our AI Marketing and AEO service covers exactly this.

Find out more about AI visibility and AEO at Bizi Digital.

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