Top Marketing Experts Share Their Best Generative AI SEO Strategies for Growth

Generative AI has changed how businesses create content, optimize websites, and attract organic traffic. But while AI can accelerate SEO, long-term growth still depends on strategy, quality, and user experience. We asked leading marketing experts what approach they believe delivers the best results.

“My generative AI SEO strategy is simple: stop using AI to publish more content,” says Justin Herring, founder & CEO at YEAH! Local

The amount of weak pages is already too high in most businesses. Generative AI makes that problem more affordable and quicker to solve. It can create fifty articles before lunch, but it can’t make a to-the-point experience, customer proof, a compelling offer, or a reason for people to trust you, or for Google, ChatGPT, or a customer to trust you.

Don’t expect AI to be the source of expertise. The raw material has to be from the business. I would first use AI in the background. Upload sales call transcripts, search terms, customer inquiries, calls, customer reviews, competitor pages, and conversions. Then use it to identify patterns that humans don’t notice: objections that repeatedly pop up, locations with real demand, missed service points, and questions that indicate a human is getting closer to purchase.

That intelligence should enhance the pages that are right closest to the revenue. If I had to choose, I’d prefer to create one great service page rather than write blog posts that aren’t relevant. The page should provide details on who this service is for, how it works, what sets the company apart, where the company is located, and what evidence supports the claims. It should also be organized so that search engines and AI systems can quote it without ambiguity.

Also, I wouldn’t use the number of prompts you show up for or the amount of traffic AI drives to the analytics as a measure of success. Those are great indicators, though the actual ones are qualified calls, scheduled appointments, sales opportunities, and sales. The growth play is NOT an AI content factory! It’s leveraging AI to make the knowledge already captured within the business more easily substantiated, improved,d and valuable to the customer wherever decisions are being made. Not as showy as it could be, but much more likely to multiply.

“Focus on Search Intent Before Creating AI Content,” says Okeke Clinton, founder & CEO at LocalSArch

Many marketers’ biggest error using Generative AI is believing that the more content they can post, the higher they will rank. Actually, the key to understanding a search is to know what motivates the person to do it rather than target the keyword. Each article should address a practical problem or answer a question more effectively than other articles.

While AI can assist with structuring research, identifying topics, and creating drafts, it is ultimately up to marketers to determine whether the content aligns with the reader’s intent. Additionally, older content should be updated rather than constantly publishing new articles, so keep information relevant and accurate. With AI helping to drive a user-centric approach, businesses develop content that ranks high over time – both for search engines and the humans reading it.

“Build Topical Authority Instead of Publishing Isolated Articles,” says Lydia Walters, Digital PR Specialist at ExpertRoundup

With generative AI, you can create dozens of articles each week, but it’s not just about the number of posts—strategic content that is. But with generative AI, you can publish dozens of articles each week, but it’s not as simple as that—it’s about strategic content. Instead of targeting hundreds of different keywords, businesses ought to develop in-depth topic clusters that demonstrate proficiency in a niche. AI is extremely helpful for discovering gaps in content, grouping keywords,r and planning internal linking opportunities.

But each of these articles should contribute to a broader knowledge base that helps users learn about the topic at a higher level. Internal links, guides, comparison articles, FAQs, and case studies all reinforce topical expertise. In today’s digital age, search engines are becoming better at rewarding sites that publish regularly and deliver full, authoritative content. A focused content ecosystem is worth far more than a vast array of AI-generated posts, as search engines increasingly reward sites that publish regularly and deliver comprehensive, authoritative content.

“Combine AI Efficiency with Careful Human Review,” says Christian Painter, Freelance PR Specialist

Artificial Intelligence has emerged as one of the most valuable productivity tools for marketers, but it shouldn’t be used in place of careful editing and decision-making. While AI can rapidly generate content summaries, create content outlines, and aid in workflow, it can also produce inaccuracies, repetition, or lack of personalization. All articles should be checked for accuracy, clarity, personality, and originality before publication.

Businesses should also review statistics and provide fresh data and perspectives that competitors may not easily generate. Content written by readers is more likely to be trusted if it is authentic and not written by generative AI. Companies that use AI ethically and uphold strong editorial standards will gain greater credibility and search visibility.

“Scale SEO Processes Without Losing Strategic Thinking,” says Bobin D’silva, Co-founder at RankCare

While replacing marketers is not the true power of Generative AI, it is what it can make them much more efficient. AI makes it possible to automate time-consuming, repetitive SEO tasks such as keyword clustering, competitor research, content briefs, metadata generation, schema recommendations, and content optimization. This frees up time for SEO experts to focus on strategic planning, technical enhancements, user experience, and performance analysis. Another point to keep in mind for businesses is that search is not just about Google anymore; it’s becoming more of an AI-driven experience that values trustworthy, well-structured, and authoritative information. The best organizations will treat AI as a strategic tool, not a quick fix, and leverage automation to create content that is truly valuable to users, while also being optimized for search engines.