AI SEARCH: WHAT SHOULD BUSINESSES DO DIFFERENTLY TO REACH CUSTOMERS?
In the past, when looking for a product or service, customers would typically enter a few short keywords into Google, such as “marketing services,” “marketing agency,” or “website design.” Today, they may ask more specific questions, such as “Which marketing services are suitable for small businesses?” or “Which reputable marketing agencies operate in Hue?”
The development of AI-powered search tools is introducing a more natural way to access information. Instead of searching only with keywords, users can describe their needs, ask questions, and look for answers tailored to their specific situations.
This creates a new challenge for businesses: websites must not only appear in search results but also provide clear, useful, and trustworthy content that addresses customers’ needs.
1. What Is AI Search?
AI search refers to the use of artificial intelligence-powered tools to understand search queries, gather relevant information, and generate answers that meet users’ needs.
Alongside traditional search engines, users now have additional options, including Google AI Overviews, AI Mode, and ChatGPT Search. Depending on the platform, answers may be generated by synthesizing information from multiple sources and accompanied by links for further reading.
One notable difference is that users do not always need to know the exact keywords to enter. They can start with a natural-language question, provide additional context, and ask follow-up questions to clarify the information they need.
For example:
Traditional search: “SEO services.”
Needs-based search: “Which SEO services are suitable for small businesses?”
Context-specific search: “How can businesses in Hue optimize their websites to reach local customers?”
All three searches may reflect the same underlying need. However, the more specific the question, the more closely the content must address the user’s actual intent.
2. How Is Customer Search Behavior Changing?
From Short Keywords to Specific Questions
In the past, users often entered a few keywords representing the products or services they were interested in. Today, they can describe their needs more fully, including their circumstances, target audience, budget, and selection criteria.
For example, instead of simply searching for “marketing agency,” a business owner might ask, “What criteria should a small business use to choose a marketing agency?”
With this approach, website content needs to explain the services offered, the types of businesses they suit, the implementation process, the expected benefits, and the factors customers should consider before making a decision.
From Finding Information to Finding Answers
Customers do not always want to read multiple articles and piece the information together themselves. They often want to understand an issue quickly, compare available options, and determine their next steps.
For example, someone researching website SEO may want answers to the following questions:
What is website SEO, and what are its benefits?
Should small businesses invest in SEO?
How long does it take to see SEO results?
How does SEO differ from Google Ads?
What factors determine the cost of SEO services?
If a website only repeats generic promotional messages without addressing these questions, the business may miss opportunities to meet customers’ actual search needs.
From a Single Search to an Ongoing Research Journey
A customer may begin with a general question and then explore pricing, processes, advantages, disadvantages, and potential service providers.
Therefore, website content should not focus exclusively on individual keywords. Businesses need to build interconnected content that guides users from initial research to consideration and, ultimately, decision-making.
For example, an SEO content cluster could include an introductory article explaining SEO, a guide to website optimization, an analysis of SEO costs, and a dedicated page introducing the company’s SEO services.
3. How Does AI Search Affect Website SEO?
The growth of AI does not mean traditional SEO has become irrelevant. Search engines still rely on useful content that can be accessed, understood, and evaluated to serve users effectively.
However, businesses need to place greater emphasis on answer quality, context, and credibility when developing website content.
SEO Is More Than Adding Keywords to Articles
Keywords still help identify topics and search intent. However, repeating a phrase multiple times does not automatically make content more valuable.
Instead of optimizing only for the keyword “SEO services,” businesses should address related questions, such as who the service is suitable for, what the work involves, how results are evaluated, and when investing in SEO makes sense.
Content should be focused, easy to read, and aligned with the user’s search intent.
Content Needs to Be Clear and Easy to Understand
Well-structured content helps both readers and search engines identify the main topics of a page.
Businesses should use descriptive headings, organize articles into clearly defined sections, explain technical terms, and present information in a logical sequence.
For common questions, it is particularly helpful to provide a direct answer before expanding on the topic. This approach allows readers to understand the essential information quickly without having to read the entire article first.
Trustworthiness and Real-World Experience Matter
Valuable content does more than provide accurate information. It also helps readers understand why that information deserves their trust.
Businesses can strengthen credibility by sharing practical experience, clearly sourced data, specific examples, working processes, and information about who is responsible for the content.
For professional articles, it is important to distinguish between factual data, analysis, and recommendations. Avoid absolute promises or unsupported claims.
4. What Is AEO, and How Is It Different from SEO?
AEO (Answer Engine Optimization) is an approach to optimizing content to improve its chances of being understood, selected, and used by answer engines when responding to users’ questions.
SEO (Search Engine Optimization), meanwhile, focuses on improving a website’s visibility in search engines through various factors, including content quality, website structure, crawlability, and user experience.
These two approaches are closely related.
SEO helps establish the foundation for a website to be discovered and accessed. AEO places additional emphasis on presenting information as clear, direct, and relevant answers to users’ questions.
To optimize for both SEO and AEO, businesses can:
Identify the real questions customers frequently ask.
Answer each question directly within the relevant section.
Use a logical H2 and H3 heading structure.
Include examples, data, and properly sourced evidence.
Link related articles within the same website.
Update information when services, markets, or customer needs change.
It is important to note that no individual content format, Schema markup, or technical tactic guarantees that a website will be cited by AI tools. The goal is to create high-quality, accessible, and genuinely useful content.
5. What Should Businesses Do to Optimize Their Websites for AI Search?
Step 1: Research Customers’ Actual Questions
Instead of simply compiling industry keywords, businesses should investigate what customers genuinely want to know before choosing a product or service.
For a company providing marketing services, these questions might include:
Where should a small business start with marketing?
How can a business choose the right marketing agency?
Should a business invest in SEO or paid advertising?
What services are included in marketing packages in Hue?
These questions can be identified through customer consultations, discussions with sales teams, Google Search Console data, and keyword research tools.
Step 2: Create Content That Addresses Real Needs
Every article should have a clear purpose. There is no need to answer every possible question in a single article when the questions belong to different topics.
For example, an article about SEO costs should explain the factors that influence budgets, the scope of work, and how to evaluate service proposals. An article about the benefits of SEO should focus on customer reach, content development, and long-term value.
This approach allows content to explore topics in depth rather than covering many subjects superficially without fully answering any of them.
Step 3: Optimize Website Structure and Internal Links
A website with a clear content structure helps users find information more easily and enables search engines to understand the relationships between pages.
Businesses should organize content into topic clusters, link informational articles to relevant service pages, and use descriptive anchor text that accurately reflects the destination page.
For example, an article about AEO could link to an SEO services page or a marketing strategy consulting page. Conversely, service pages could link to relevant educational articles that help customers better understand the proposed solutions.
Step 4: Add Structured Data Where Appropriate
Schema markup is structured data that helps search engines better understand website content and the entities represented on a page.
Depending on the page type, businesses may consider using appropriate Schema types, such as Organization, WebSite, Article, BreadcrumbList, or Service.
FAQPage Schema should only be used when the content and implementation align with Google’s current guidelines. Adding Schema does not guarantee enhanced search results or selection by AI tools.
More importantly, the information in Schema must accurately reflect the content visible to users on the page.
Step 5: Monitor Performance and Update Content
SEO and AEO are not tasks that end once an article is published. Businesses need to monitor actual performance to understand which content reaches the right audience and which pages require improvement.
Google Search Console can help track impressions, clicks, search queries, and the performance of individual pages in Google Search.
Businesses should also monitor lead quality, inquiries, conversion rates, and the additional questions customers raise during consultations.
Measurement of visibility in AI-generated answers varies by platform. No single metric should be used to evaluate the effectiveness of an entire strategy.
6. Websites Need to Evolve from Information Repositories into Sources of Answers
A website may contain many articles and still fail to meet users’ needs if its content focuses exclusively on introducing the company without providing the information customers are looking for.
Consider the difference between two approaches.
Approach 1: “We provide professional, creative, and effective marketing services.”
This introduces the brand, but it does not explain who the services are for, what problems they solve, or where a potential customer should begin.
Approach 2: “Where should a small business start with marketing? First, define your business goals, target audience, and available budget. You can then choose between SEO, paid advertising, social media content, or a combination of channels.”
The second approach provides useful information, addresses a specific problem, and creates an opportunity to introduce a relevant service in the following section.
This does not mean every piece of content must be written as a question-and-answer format. Brand content, service pages, in-depth articles, and case studies each serve different purposes. The common principle is that every piece of content should have a clear objective and deliver practical value to its audience.
7. BGroup’s Approach to Content Optimization in the AI Search Era
As search behavior becomes more diverse, businesses need to view their websites not merely as brand showcases but also as information resources that help customers research, evaluate, and choose solutions.
With an approach that combines SEO and AEO, BGroup aims to develop clearly structured content aligned with search intent and grounded in the real questions customers ask.
From keyword research and professional content development to website structure and internal linking, every component should be implemented as part of a consistent strategy.
As customers find new ways to ask questions, businesses need to create content that addresses the issues they genuinely care about.
AI search is expanding the ways customers access information. However, the foundations of discoverability remain useful content, trustworthy information, and a well-structured website.
Frequently Asked Questions About AI Search
1. What is AI search?
AI search refers to finding information through tools that use artificial intelligence to understand questions and generate answers based on relevant information. Some tools also provide source links so users can verify information and explore topics further.
2. Will AI search replace traditional SEO?
No. SEO remains important for helping websites become discoverable, accessible, and understandable to search engines. Businesses should combine SEO fundamentals with useful, clear content that addresses users’ questions.
3. How is AEO different from SEO?
SEO focuses on improving website visibility in search engines. AEO focuses on optimizing content to increase its chances of being selected and used by answer engines when responding to questions. The two approaches can complement each other.
4. How can a website improve its chances of appearing in AI-generated answers?
Businesses should create useful, accurate, and easy-to-understand content; ensure their websites are accessible and crawlable; maintain a logical page structure; and provide trustworthy evidence and information. No technique can guarantee that a website will be cited by AI tools.
5. Do small businesses need to optimize their websites for AI Search?
It is worth considering, particularly when a website is an important channel for generating leads. Small businesses can start by answering common customer questions, optimizing key service pages, and developing in-depth content within their available resources rather than publishing large volumes of articles at once.
