How AI Is Changing Search, and What Marketers Should Do About It
AI answers now sit at the top of many results pages, and a growing share of research starts in AI assistants rather than search engines. The change is real. It is also more uneven than most headlines suggest.
Key takeaways
- AI answers reduce clicks most on simple, factual queries with one correct answer.
- Queries involving comparison, judgement, local context or purchase decisions still send traffic, and often better-informed visitors.
- Being cited or mentioned in AI answers increasingly matters for brand visibility, even when it does not produce an immediate click.
- The content that performs well in AI answers is largely the content that performs well in search: clear, specific, credible and well structured.
What has actually changed
Three shifts have happened together, and it helps to separate them.
AI answers inside search results. Major search engines now generate summaries at the top of many results pages. For some queries the summary fully answers the question, and the searcher never scrolls to the organic links.
Conversational search. People increasingly ask longer, more specific questions and follow up with more questions. A single search session can now cover what used to take several separate searches.
AI assistants as research tools. Some research that used to begin with a search engine now begins in a chat interface. These assistants may cite sources, summarise them or recommend brands directly.
Each shift affects different types of query in different ways, which is why blanket predictions about “the end of SEO” tend to be wrong.
Where clicks are falling, and where they are not
Across the sites we analyse at Advino Research, the pattern is consistent enough to plan around, though it varies by industry.
| Query type | Example | Effect of AI answers |
|---|---|---|
| Simple factual | “how many ounces in a pound” | Clicks largely replaced by the answer |
| Definitional | “what is a canonical tag” | Fewer clicks; those that remain are more engaged |
| How-to, multi-step | “how to set up server-side tracking” | Mixed; people still click for detail and screenshots |
| Comparison | “best CRM for a 20-person sales team” | Clicks continue; people want to evaluate options |
| Commercial, high consideration | “enterprise SEO platform pricing” | Clicks continue; visitors often arrive better informed |
| Local | “emergency plumber near me” | Driven by local results; AI answers play a smaller role |
The practical implication: if most of your organic traffic comes from simple informational queries, you should expect pressure and plan for it. If it comes from commercial and comparison queries, the change is more about how you are presented than whether you are found.
What AI systems tend to cite
AI answers draw on sources they consider relevant and trustworthy. Nobody outside the search companies knows exactly how sources are selected, and anyone claiming a precise formula is guessing. But the content that tends to be cited shares recognisable traits:
- It answers the question directly. A clear answer near the top of the relevant section, followed by detail.
- It is specific. Concrete numbers, steps, examples and definitions rather than generalities.
- It is clearly structured. Descriptive headings, lists and tables that make individual facts easy to extract.
- It comes from a source with a credible reputation on the topic. Brand and entity signals matter here.
- It is current. Outdated information is less likely to be used.
None of this is a new discipline. It is good SEO and good writing, applied with more care. We are sceptical of tactics sold as “AI optimisation” that amount to stuffing pages with question-and-answer blocks.
Five things marketers should do now
1. Re-segment your organic traffic by query type
Split your Search Console data into informational, comparison, commercial and branded queries. Look at clicks and impressions separately: if impressions hold steady while clicks fall, AI answers or other SERP features are probably absorbing clicks. This tells you where exposure is concentrated.
2. Shift investment toward queries that still need a website
Comparison guides, original research, tools, calculators, detailed product information and local pages all serve needs that a summary cannot fully meet. These are also usually closer to revenue.
3. Make your best content easy to cite
Review your most important pages. Does each section open with a clear answer? Are claims specific and supported? Is the author or organisation visible? Is the page current? This work helps traditional rankings too.
4. Measure brand demand, not only clicks
When your brand is mentioned in AI answers, some people will search for you directly later. Track branded search volume, direct traffic and assisted conversions alongside organic clicks. A fall in informational clicks combined with rising branded search is a very different story from a fall in both.
5. Strengthen your presence beyond your own site
AI systems learn about brands from across the web: reviews, industry publications, forums, comparison sites. Digital PR, review management and consistent business information all contribute to how your brand is described.
What has not changed
It is worth stating clearly, because it is easy to lose sight of: search engines still need to crawl, render and index your pages. Content still needs to match intent. Authority still matters. The fundamentals we describe in SEO in 2026 are as important as ever, and arguably more so, because AI systems are drawing on the same signals.
A note on measurement
Measurement is the weakest part of this picture. Most analytics tools cannot yet tell you reliably how often your brand appears in AI answers, or how many conversions began with an AI interaction. Some referral traffic from AI assistants is visible; much is not.
Our approach is to triangulate: Search Console trends by query type, branded search volume, referral data where available, and direct customer research. Asking new customers how they first heard about you is unglamorous, and increasingly valuable.
We are building more of this monitoring into Advino AI, including SERP feature tracking for AI answers on priority queries. If you want to understand how these changes affect your own traffic, our SEO team can help you segment the data.
