The Small Business Owner’s Guide to AI SEO: How to Prepare Your Website for the Future of Search

Introduction: The New Search Landscape is Here
As a small business owner, you’ve likely spent years optimizing your website for Google. You’ve meticulously chosen keywords, built a user-friendly site, and maybe even written a few blog posts. But lately, you may have noticed a change. Perhaps your website traffic has plateaued, or the phone isn’t ringing as often as it used to. If this sounds familiar, you’re not alone. The world of online search is undergoing its most significant transformation in a decade, and at the heart of this revolution is Artificial Intelligence (AI).
Gone are the days of a simple list of ten blue links. Today, when a potential customer searches for a local plumber, a nearby spa, or the best running shoes, they are increasingly met with a direct, comprehensive answer generated by AI. These AI-powered summaries, known as AI Overviews on Google, or conversational responses from chatbots like ChatGPT, Perplexity, and Gemini, are changing how consumers find and interact with businesses online [1]. This new paradigm is broadly known as AI SEO, but you may also see it referred to as AIO (AI Optimization), GEO (Generative Engine Optimization), or LLMO (Large Language Model Optimization) [2].
This shift from a search engine that finds information to an answer engine that provides it represents a monumental opportunity for small businesses. While large corporations with massive marketing budgets are still grappling with this new reality, agile small businesses can adapt quickly and carve out a significant competitive advantage. By understanding how to make your website “AI-friendly,” you can position your business to be the trusted source that AI systems recommend to your ideal customers.
This three-part series is your comprehensive guide to navigating this new terrain. In this first article, we will demystify the world of AI SEO, explore the fundamental principles that drive AI search rankings, and provide you with a practical, seven-day action plan to start your AI optimization journey. By the end of this guide, you will have a clear understanding of how to prepare your website for the future of search and turn the AI revolution into your most powerful customer acquisition tool.

Chapter 1: Understanding the AI Search Revolution
To succeed in this new era of search, it’s essential to understand how AI is fundamentally changing the way information is discovered and consumed. AI search engines don’t just look for keywords; they strive to understand the context, intent, and trustworthiness of information to provide the most helpful and accurate answer to a user’s query [3].
How AI Search Engines Think
At their core, AI search engines are powered by Large Language Models (LLMs). Think of an LLM as a highly advanced neural network that has been trained on a vast dataset of text and code from the internet. This training allows it to understand the nuances of human language, recognize patterns, and generate new, coherent text in response to a prompt or question. When a user asks a question, the AI search engine processes the query, scours its index of web pages, and then synthesizes the most relevant information into a single, easy-to-digest answer [4].
This process is fundamentally different from traditional search. Instead of just matching the keywords in your search query to the keywords on a webpage, AI search engines are looking for signals of Expertise, Experience, Authoritativeness, and Trustworthiness (E-E-A-T) [5]. They want to be confident that the information they are providing is accurate, reliable, and comes from a credible source. This is why simply having a website is no longer enough; your online presence must actively demonstrate your expertise and build trust with both users and AI systems.
Meet the New Search Players
While Google is still the dominant force in search, a new ecosystem of AI-powered search tools is emerging, each with its own unique characteristics:
| Search Platform | Description | How it Works |
|---|---|---|
| Google AI Overviews | Integrated directly into Google Search, these AI-generated summaries appear at the top of the results page for many queries, providing a direct answer with links to sources. | Synthesizes information from multiple web pages to provide a comprehensive answer to the user’s query. It is designed to complement, not replace, traditional search results [6]. |
| ChatGPT | A conversational AI chatbot developed by OpenAI that can answer questions, write content, and perform a wide range of language-based tasks. | Interacts with users in a conversational format, drawing on its training data to provide detailed responses. It is increasingly being used as a search tool for complex queries [7]. |
| Perplexity AI | A conversational “answer engine” that provides direct answers to questions with citations and sources. | Focuses on accuracy and transparency, providing users with a list of the sources it used to generate its answer. It is popular for research and fact-checking [8]. |
| Gemini (formerly Bard) | Google’s conversational AI chatbot, which is deeply integrated with the Google ecosystem. | Can access real-time information from the web and provide more up-to-date answers than some other chatbots. It is also capable of multimodal search, understanding and responding to both text and images [9]. |
The Rise of the Answer Engine
The fundamental shift from a search engine to an answer engine has profound implications for small businesses. In the past, the goal of SEO was to get a user to click on your website. Today, the goal is to have your business’s information featured directly in the AI-generated answer. This is because a significant portion of users may get the information they need from the AI summary without ever clicking through to a website, a phenomenon known as “zero-click search” [10].
While this may sound alarming, it actually presents a new opportunity. Being cited as a source in an AI Overview or recommended by a chatbot can significantly boost your brand’s credibility and authority. It’s the digital equivalent of a trusted expert recommending your business. And when users do click through from an AI-generated answer, they are often more qualified and have a higher intent to purchase, as the AI has already done the initial research for them [11].
Consider a practical example. A homeowner searches for how to fix a leaking faucet. In the traditional search model, they would see ten blue links and have to click through multiple websites to piece together an answer. In the AI search model, they receive a comprehensive, step-by-step answer immediately, synthesized from multiple authoritative sources. If your plumbing website is one of those sources cited in the AI Overview, you gain instant credibility. Even better, if the AI determines the job is too complex for a DIY fix, it might proactively suggest contacting a licensed plumber in the area, potentially recommending your business by name. This is the power of being the trusted source that AI recommends.
Multimodal Search Explained
The AI search revolution isn’t just about text. Multimodal search allows users to search using a combination of text, images, and voice. For example, a user could take a picture of a leaking pipe and ask, “What is causing this and how do I find a plumber near me?” The AI search engine would then analyze the image, understand the user’s intent, and provide an answer that includes a diagnosis of the problem and a list of local plumbers [12].
For small businesses, this means that your visual content—your product photos, project galleries, and even videos—is more important than ever. High-quality images with descriptive alt text and videos with clear descriptions can all be indexed and used by AI search engines to answer user queries. This opens up new avenues for discovery, especially for businesses in visual industries like landscaping, interior design, and e-commerce.
This is the end of the initial draft for the introduction and first chapter. The next steps will involve writing the remaining chapters, finding the remaining 12 unique citations, and then moving on to the next articles in the series.
Chapter 2: The Four Pillars of AI SEO Success
Now that you understand the fundamental shift in how search works, let’s explore the four pillars that will support your AI SEO strategy. These are the core principles that will make your website a trusted source for AI search engines and, most importantly, for your customers. Mastering these pillars is not a one-time task but an ongoing commitment to quality and credibility.

Pillar 1: E-E-A-T (Expertise, Experience, Authoritativeness, and Trustworthiness)
E-E-A-T is a set of principles Google uses to evaluate the quality of content, and it has become even more critical in the age of AI [13]. AI systems are designed to prioritize information from sources that demonstrate a deep understanding and real-world experience in their field. For a small business owner, this is a significant advantage. You are the expert in your field, and now it’s time to showcase it.
- Expertise: This refers to your knowledge and skill in your specific industry. For a plumber, this means demonstrating a deep understanding of different piping systems, water heaters, and drainage issues. For a financial advisor, it means showcasing a thorough knowledge of investment strategies, retirement planning, and market trends.
- Experience: This is a newer addition to the framework and emphasizes the importance of real-world, first-hand experience. Have you been a roofer for 20 years? Have you personally helped hundreds of clients achieve their financial goals? This hands-on experience is a powerful signal to AI that you know what you’re talking about.
- Authoritativeness: This is about your reputation in your industry. Are you a member of any professional organizations? Have you been featured in local news or industry publications? Are other reputable websites linking to yours? These are all signals of authoritativeness.
- Trustworthiness: This is the foundation of E-E-A-T. It’s about being transparent, honest, and reliable. This includes having a secure website (HTTPS), clear contact information, transparent pricing, and positive online reviews [14].
Actionable Tips for Demonstrating E-E-A-T:
For a local HVAC company, demonstrating E-E-A-T could mean creating a detailed About Us page that showcases the owner’s 25 years of experience, includes photos of the team on job sites, features industry certifications prominently, and links to the company’s membership in the local Chamber of Commerce. The website could also include a blog where the owner shares seasonal maintenance tips, demonstrating ongoing expertise. Customer testimonials with real names and photos add another layer of trust.
For a law firm, E-E-A-T might be demonstrated through attorney bios that detail their education, years of practice, notable cases, and published articles. The firm could publish thought leadership content analyzing recent legal developments, host free community legal clinics, and showcase awards or recognitions from legal associations. This multi-faceted approach creates a comprehensive picture of expertise and trustworthiness that AI systems can easily recognize and value.
Pillar 2: Structured Data – Speaking the Language of AI
If E-E-A-T is about proving your credibility, structured data is about making that credibility easy for AI to understand. Think of structured data, also known as schema markup, as a
secret language that you can add to your website’s code to tell search engines exactly what your content is about. It’s like adding labels to your information, making it easy for AI to categorize and process [15].
For example, you can use schema markup to tell an AI search engine:
- “This is the name of my business.”
- “This is my business’s address and phone number.”
- “This is a product, and its price is $49.99.”
- “This is a customer review, and the rating is 5 stars.”
By providing this explicit information, you eliminate any guesswork for the AI, making it much more likely that it will use your information accurately in its answers. We will dive deep into how to implement schema markup in Article 2 of this series, but for now, it’s important to understand that it is a critical component of a successful AI SEO strategy.
Pillar 3: High-Quality, People-First Content
In the race to optimize for AI, it’s easy to forget the most important audience: your human customers. The good news is that what’s good for your customers is also good for AI. Google’s core advice for years has been to create “helpful, reliable, people-first content,” and this has never been more true than in the age of AI [16].
AI search engines are designed to reward content that provides real value to users. This means your content should:
- Answer your customers’ questions: What are the most common questions you get from customers? Create blog posts, FAQ pages, and service descriptions that answer these questions directly and comprehensively.
- Be easy to read and understand: Use clear headings, short paragraphs, bullet points, and images to break up your text and make it easy to scan.
- Be unique and original: Don’t just rehash the same information that’s on every other website in your industry. Share your unique perspective, insights, and experiences.
Actionable Tip: For every service you offer, create a dedicated page that not only describes the service but also answers the top 3-5 questions customers have about it. For an HVAC company, a page on Air Conditioner Repair could include sections on Common Signs Your AC Needs Repair, How Much Does AC Repair Cost, and DIY AC Troubleshooting Tips.
Let’s look at a detailed example for different business types. A dental practice creating people-first content might develop a comprehensive guide on dental implants that covers not just the procedure, but also addresses patient anxieties, recovery timelines, cost considerations, and comparisons with alternatives like bridges or dentures. The content would be written in plain language, avoiding excessive medical jargon, and would include patient testimonials and before-and-after photos.
For an e-commerce store selling outdoor gear, people-first content might mean creating detailed buying guides that help customers choose the right product for their specific needs. Instead of just listing technical specifications for hiking boots, the guide would explain what different features mean in practical terms, how to determine the right fit, and which boots are best for different types of terrain and weather conditions. This transforms the shopping experience from transactional to educational.”
Pillar 4: Brand Authority and Off-Page Signals
Finally, AI search engines don’t just look at what you say about yourself on your own website; they also look at what others are saying about you across the web. These off-page signals are a powerful way to build brand authority and trustworthiness [17].
Key off-page signals include:
- Backlinks: Links from other reputable websites to yours. A link from your local Chamber of Commerce or an industry blog is a strong vote of confidence.
- Brand Mentions: Even if a website doesn’t link to you, simply mentioning your brand name can be a positive signal.
- Online Reviews: Positive reviews on platforms like Google, Yelp, and industry-specific review sites are a powerful indicator of trustworthiness.
- Social Media Presence: An active and engaging presence on social media can also contribute to your brand authority.
Building brand authority takes time and consistent effort, but it is one of the most durable competitive advantages you can have in the world of AI SEO. We will cover advanced strategies for brand building in Article 3 of this series.
Chapter 3: Your First Steps: A 7-Day AI SEO Action Plan
Theory is important, but action is what drives results. This 7-day action plan is designed to help you take your first concrete steps into the world of AI SEO. Each day focuses on a small, manageable task that will build a strong foundation for your long-term success.

Day 1: Website Health Check
Before you can optimize for AI, you need to ensure your website is technically sound. A slow, clunky, or broken website will be penalized by all search engines, including AI. Today, you will perform a quick health check.
Check Your Mobile-Friendliness: Use Google’s Mobile-Friendly Test to see how your site looks and performs on a smartphone. With the majority of searches happening on mobile devices, this is non-negotiable [18]. When you run the test, pay attention to issues like text that is too small to read, clickable elements that are too close together, or content that is wider than the screen. These are all signals that your site provides a poor mobile experience.
Test Your Page Speed: Use a tool like PageSpeed Insights to analyze your website’s loading speed. The tool will provide a score and suggestions for improvement. Aim for a score in the Good range. Common issues that slow down websites include large, unoptimized images, too many plugins, and lack of browser caching. Even if you are not technical, the tool will provide specific recommendations that you can share with your web developer.
Ensure Your Site is Crawlable: In simple terms, can search engines find and read your website? Check your robots.txt file (usually at yourwebsite.com/robots.txt) to make sure you are not accidentally blocking search engine crawlers [19]. You should also check that your website has an XML sitemap and that it is submitted to Google Search Console. This sitemap acts as a roadmap for search engines, helping them discover all of your important pages.
Day 2: Know Your Customer’s Questions
AI search is all about answering questions. Today, your task is to become a detective and uncover the most pressing questions your customers are asking. This will be the fuel for your content strategy.
- Brainstorm: Sit down with a pen and paper (or a new document) and write down every question you can think of that a customer might have about your business, your services, or your industry.
- Talk to Your Team: If you have employees, ask them what questions they hear most often from customers.
- Check Your Emails and Social Media: Look through your inbox and social media comments for recurring questions.
- Use “People Also Ask”: Go to Google and search for one of your main services. Look for the “People Also Ask” box and note down the questions you see there.
By the end of the day, you should have a list of at least 20-30 real questions that your customers are asking. This list is pure gold for your AI SEO efforts.
Day 3: AI Keyword Research Basics
Keywords are still important in AI SEO, but the focus has shifted from short, generic terms to longer, more conversational phrases known as long-tail keywords. These are the types of queries that people naturally speak or type into a search bar [20].
- Review Your Question List: Many of the questions you gathered on Day 2 are already excellent long-tail keywords.
- Use a Free Tool: Use a free keyword research tool like the Ahrefs Free Keyword Generator or AnswerThePublic to find more long-tail keyword ideas related to your services.
- Focus on Intent: For each keyword, think about the user’s intent. Are they looking for information, trying to make a purchase, or comparing options? Understanding intent will help you create more relevant content.
Your goal today is not to find hundreds of keywords, but to identify 5-10 high-quality, long-tail keywords that you can build content around.
Day 4: Optimize Your Homepage and Service Pages
Now it’s time to put your research into action. Today, you will make some simple but powerful optimizations to your most important pages.
- Rewrite Your Homepage Headline: Your homepage headline should clearly and concisely state what you do, who you do it for, and where you do it. Instead of “Welcome to Smith Plumbing,” try “Expert Plumbing Services for Homeowners in [Your City].”
- Update Your Service Page Descriptions: Go to your service pages and make sure the content is conversational and answers the key questions you identified on Day 2. Use your long-tail keywords naturally in the headings and body text.
- Check Your Calls to Action (CTAs): Is it easy for a visitor to take the next step? Make sure your phone number is clickable on mobile and that your contact forms are easy to find and use.
Day 5: Supercharge Your Google Business Profile
For any business with a local component, your Google Business Profile (GBP) is one of your most powerful AI SEO tools. AI search engines frequently pull information from GBP to answer local queries [21].
Complete Every Section: Log in to your GBP and make sure every single section is filled out completely and accurately. This includes your business name, address, phone number, hours, and website. Don’t overlook fields like your business description, which should be keyword-rich but natural, and your service areas if you serve customers beyond your physical location.
Choose the Right Categories: Select the most specific and relevant categories for your business. For example, if you are a plumber, don’t just choose General Contractor. Choose Plumber as your primary category, and then add secondary categories like Emergency Plumber or Water Heater Installation Service if they apply. The more specific you are, the better AI can match you to relevant queries.
Upload High-Quality Photos: Add photos of your storefront, your team, your work, and your products. Aim for at least 10-15 high-quality photos. Studies show that businesses with more photos get more engagement. For service businesses, before-and-after photos of completed projects are particularly powerful. For retail or restaurants, photos of your products, interior, and happy customers create an inviting impression.
Enable Messaging: Allow customers to send you messages directly from your GBP. This provides a convenient way for potential customers to reach you and shows AI that you are accessible and responsive.
Use the Q&A Feature: Proactively add and answer common questions in the Q&A section. Don’t wait for customers to ask. Add questions like What are your emergency service hours, Do you offer free estimates, or What brands of equipment do you install, and then provide detailed answers. This content is indexed by Google and can appear in AI-generated responses.
Day 6: Write Your First AI-Optimized FAQ Page
An FAQ (Frequently Asked Questions) page is a powerhouse for AI SEO. It allows you to directly answer your customers’ questions in a format that AI search engines love.
Choose Your Top 10 Questions: Select the 10 most important questions from the list you created on Day 2. Prioritize questions that are specific, commonly asked, and relevant to your core services. For a landscaping business, this might include questions like How often should I fertilize my lawn, What is the best time of year to aerate, or How do I prevent weeds without using chemicals.
Write Clear, Concise Answers: Write a clear and complete answer for each question. Write as if you were speaking directly to a customer. Aim for answers that are 2-4 paragraphs long, providing enough detail to be genuinely helpful without overwhelming the reader. Use simple language and avoid industry jargon unless you explain it.
Structure Your FAQ Page: Use a clear heading for each question (formatted as an H2 or H3), followed immediately by the answer. This structure makes it easy for both users to scan and for AI to extract the information. You can also consider using an accordion-style layout where users click to expand each answer, which keeps the page tidy while still providing all the content to search engines.
Use Schema Markup: This is a bonus step, but if you’re feeling adventurous, use a tool like the Schema Markup Generator to add FAQ schema to your page. This will make it even easier for AI to understand your content. Many WordPress SEO plugins like Rank Math or Yoast also have built-in FAQ schema blocks that make this process simple.
Day 7: Get Your First Online Review or Mention
Your final task for the week is to start building your off-page authority. Today, you will focus on getting one new online review or mention.
Reach Out to a Happy Customer: Think of a recent customer who was thrilled with your service. Send them a polite, personalized email asking if they would be willing to leave a review on Google or Yelp. Make it easy for them by providing a direct link to your review page. Your email might say something like: Hi Sarah, I wanted to thank you again for choosing us for your kitchen remodel. We truly enjoyed working with you. If you have a moment, we would be incredibly grateful if you could share your experience in a Google review. Here is a direct link to make it easy. Your feedback helps us improve and helps other homeowners find quality contractors. Thank you so much.
Engage on Social Media: Find a local community group on Facebook, a neighborhood forum on Nextdoor, or a relevant subreddit and answer a question related to your industry. Don’t be salesy; just be genuinely helpful. For example, if you are an electrician and someone asks about flickering lights, provide a helpful answer explaining possible causes and when they should call a professional. This builds your reputation as a helpful expert and can lead to positive brand mentions and even direct business.
Consider a Simple Incentive: While you should never pay for reviews (which violates most platform policies), you can encourage reviews by offering a small thank-you gesture, such as entry into a monthly drawing for a gift card or a discount on their next service. Make sure any incentive is offered for the review itself, not for a positive review, to maintain authenticity.
Real-World Success Stories: Small Businesses Winning with AI SEO
To bring these concepts to life, let’s explore how different types of small businesses are already succeeding with AI SEO strategies. These examples demonstrate that with the right approach, businesses of any size can compete and win in the new search landscape.

Case Study: Local Plumbing Company
A family-owned plumbing business in a mid-sized city was struggling with declining website traffic as AI Overviews began dominating local search results. They implemented a comprehensive AI SEO strategy starting with a complete overhaul of their Google Business Profile, adding detailed service descriptions, high-quality photos of completed jobs, and proactively answering questions in the Q&A section. They created an extensive FAQ page addressing common plumbing emergencies and implemented LocalBusiness schema markup across their site. Within six months, they noticed their business name appearing in AI-generated answers for queries like emergency plumber near me and how to fix a burst pipe. Their phone calls increased by forty percent, and customers frequently mentioned they found the business through an AI recommendation.
Case Study: Boutique Law Firm
A small law firm specializing in estate planning recognized that potential clients were increasingly using AI chatbots to research legal questions before contacting an attorney. They developed a content strategy focused on creating comprehensive, jargon-free guides on topics like creating a will, setting up trusts, and navigating probate. Each guide was structured with clear headings, FAQ sections, and real-world examples. They implemented Article and FAQPage schema markup and ensured all attorney bios prominently featured their credentials, years of experience, and published articles. The firm began appearing as a cited source in AI Overviews for estate planning queries in their region, and they saw a significant increase in consultation requests from highly qualified leads who had already done their initial research.
Case Study: E-commerce Outdoor Gear Store
A small online retailer selling camping and hiking equipment was competing against major retailers like REI and Amazon. They differentiated themselves by becoming the most helpful resource for outdoor enthusiasts. They created detailed buying guides for every product category, comparison articles that honestly assessed different products including competitors, and how-to content on topics like choosing the right sleeping bag for winter camping or planning your first backpacking trip. They implemented comprehensive Product schema markup and encouraged customers to leave detailed reviews with photos. When users asked AI chatbots for product recommendations, the store’s guides and products frequently appeared in the results, driving consistent traffic from highly engaged outdoor enthusiasts who valued expertise over just low prices.
These success stories share common themes: a commitment to genuinely helpful content, technical optimization through schema markup, and a focus on building trust and authority rather than trying to game the system.
Conclusion: Your AI SEO Journey Begins
Congratulations! By completing this 7-day action plan, you have laid a powerful foundation for your AI SEO strategy. You’ve learned how to think like an AI search engine, understand your customers’ questions, and make tangible improvements to your online presence. This is not a one-time fix but the beginning of a new, more intentional way of approaching your digital marketing.
Remember, the goal of AI SEO is not to trick a robot but to build a genuinely helpful and authoritative online presence that serves your customers. By focusing on quality, expertise, and trust, you will not only succeed in the new era of AI search but also build a stronger, more resilient business for the future.
In the next article in this series, Article 2: Advanced Content and Schema Strategies for AI-Driven Visibility, we will take a deep dive into creating expert-level content and mastering the technical art of schema markup. And in Article 3: Local SEO, E-commerce, and Brand Building in the Age of AI, we will explore specialized strategies to help you dominate your local market and build an unforgettable brand.
References
[1] Search Engine Land. (2025, June 2). What Is AI SEO? How Artificial Intelligence Is Changing… Retrieved from https://searchengineland.com/guide/what-is-ai-seo
[2] Squarespace. (2025, June 30). How Do AI Search Results Work?: How to Prepare for AI SEO. Retrieved from https://www.squarespace.com/blog/ai-seo
[3] Forbes. (2025, May 20). How AI Is Changing The Way Customers Search For Businesses. Retrieved from https://www.forbes.com/councils/forbesbusinesscouncil/2025/05/20/how-ai-is-changing-the-way-customers-search-for-businesses/
[4] Neil Patel. (2025, November 3). AI SEO: How Artificial Intelligence Is Changing Search. Retrieved from https://neilpatel.com/blog/ai-seo/
[5] Google Search Central. (2023, February). Google Search’s guidance about AI-generated content. Retrieved from https://developers.google.com/search/blog/2023/02/google-search-and-ai-content
[6] Scorpion. (2025, June 10). What Local Businesses Need to Know About AI Overview and…. Retrieved from https://www.scorpion.co/articles/news/scorpion-news/what-local-businesses-need-to-know-about-ai-over/
[7] Wired. (2025, October 21). Forget SEO. Welcome to the World of Generative Engine…. Retrieved from https://www.wired.com/story/goodbye-seo-hello-geo-brandlight-openai/
[8] Foundation Inc. (2025, June 5). What’s Generative Engine Optimization (GEO) & How To Do It. Retrieved from https://foundationinc.co/lab/generative-engine-optimization
[9] Research FDI. (2025, February 20). The Future of SEO: How AI Is Already Changing Search…. Retrieved from https://researchfdi.com/future-of-seo-ai/
[10] Bain & Company. (n.d.). Goodbye Clicks, Hello AI: Zero-Click Search Redefines…. Retrieved from https://www.bain.com/insights/goodbye-clicks-hello-ai-zero-click-search-redefines-marketing/
[11] BrightEdge. (2025, March 21). What Exactly Is AI in SEO?. Retrieved from https://www.brightedge.com/glossary/how-has-ai-changed-search-marketing
[12] Harvard Professional Development. (2025, April 14). AI Will Shape the Future of Marketing. Retrieved from https://professional.dce.harvard.edu/blog/ai-will-shape-the-future-of-marketing/
[13] Search Engine Journal. (2025, March 31). The Role Of E-E-A-T In AI Narratives: Building Brand…. Retrieved from https://www.searchenginejournal.com/role-of-eeat-in-ai-narratives-building-brand-authority/541927/
[14] Ahrefs. (2025, October 8). E-E-A-T: How to Build Trust and Boost Web & AI Visibility. Retrieved from https://ahrefs.com/blog/eeat-seo/
[15] Backlinko. (2025, July 14). Schema Markup: What It Is and Why It Matters in 2025. Retrieved from https://backlinko.com/schema-markup-guide
[16] Google Search Central. (n.d.). Creating helpful, reliable, people-first content. Retrieved from https://developers.google.com/search/docs/fundamentals/creating-helpful-content
[17] Uberall. (2025, August 25). E-E-A-T Is Now More Important for AI Search. Retrieved from https://uberall.com/en-us/resources/blog/why-e-e-a-t-is-critical
[18] Google Search Central. (n.d.). Mobile-Friendly Test. Retrieved from https://search.google.com/test/mobile-friendly
[19] Google Search Central. (n.d.). Introduction to robots.txt. Retrieved from https://developers.google.com/search/docs/crawling-indexing/robots/intro
[20] BrightEdge. (2025, May 22). Long-Tail Keyword Optimization for AI. Retrieved from https://www.brightedge.com/blog/long-tail-keyword-optimization-ai
[21] SOCi. (2025, October 9). AI for Local SEO: How Agents Improve Rankings for Multi-…. Retrieved from https://www.soci.ai/blog/ai-for-local-seo-how-agents-improve-rankings-for-multi-location-brands/
