Are you AI SEO ready in 2026? Master digital asset acquisition and turn passion into profit for your business websites. We Don't PLAY!™ is your definitive blueprint for higher business asset acquisition through AI SEO, Technical SEO, Podcast SEO, Pinterest SEO business strategies, and actionable website marketing tactics.
Each episode delivers high-level interviews and actionable strategies. No fluff.
Topics we cover?
Podcast SEO & Monetization
Optimize show notes, titles, and episode metadata for Apple Podcasts, Spotify & Google to boost discoverability. Apply proven monetization tactics to convert audio plays into revenue.
Pinterest Marketing & SEO
Use Pinterest as a visual search engine with sales-focused pins, business tools, and trend-driven strategies to drive consistent organic traffic.
AI SEO & Marketing
Leverage ChatGPT, Claude, and AI-driven SEO for market intelligence, content automation, and competitive advantage in search rankings.
Technical & Local SEO
Master search engine marketing (SEM), site speed optimization, and local business advertising to improve global + local visibility and web traffic.
Email Monetization & List Building
Implement list-building tactics, email optimization, and beginner-friendly automation to turn subscribers into leads and maximize ROI.
Digital Marketing & Business Growth
Build a unified online presence via omnichannel marketing, branding, and startup-focused tactics—plus client acquisition strategies for multi-business owners.
Who is Favour Obasi-ike, MBA, MS?
A Christian faith-based entrepreneur and renowned expert in digital marketing, podcast monetization, Pinterest SEO, and search engine optimization.
With graduate degrees in Communications (BA), Entertainment Business (MS), and Business Administration (MBA), Favour delivers real-world AI SEO strategies and tactics through solo deep-dives and interviews with top-tier industry leaders.
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🤖 AI SEO Secrets: Better Online Marketing Results with SEO Expert, Favour Obasi-ike, MBA, MS
In this episode, I explore the intersection of Artificial Intelligence (AI) and Search Engine Optimization (SEO), emphasizing how integrating AI into websites through code and scripts is becoming crucial for online visibility.
I highlight the importance of schema markup and content structured for generative AI (like FAQs and LLMs) to enhance search engine understanding and ranking.
This discussion also touches upon leveraging various online platforms (Google Search Console, Bing Webmaster Tools, social media, podcasts) to build domain authority and generate citations, ultimately leading to better search performance.
I also stress that consistent, high-quality, and well-optimized content across multiple channels is key for long-term online success.
Frequently Asked Questions on AI SEO Secrets
1. What are the core "AI SEO secrets" and why are they crucial for online presence?
The core "AI SEO secrets" emphasize the integration of AI codes and scripts into websites, moving beyond simple ChatGPT blog posts. This integration creates a "union" between a website and search algorithms, aiming for an "equilibrium" where the site consistently ranks high.
SEO is far from dead, despite some organic traffic shifts, highlighting its ongoing importance. The fundamental idea is to leverage AI to make online content creation and optimization more efficient and effective, ensuring a site not only appears but also maintains its visibility in an increasingly sophisticated AI-driven search landscape.
2. How does schema markup work with AI to enhance search visibility, especially for voice search?
Schema markup is presented as a critical AI SEO secret. It's a rich, text-based format that uses prompts to signal algorithms about website content. For example, it can automatically generate timestamps for video content, creating "video schema" without manual input.
This is particularly important for voice search engines, which rely heavily on "AI overviews" that are often based on FAQs.
By structuring content with schema markup, especially in an FAQ format, websites provide clear, structured information that AI-powered search engines can easily understand and use to generate accurate, informational responses, thereby improving visibility in answer-based searches.
3. What is the significance of LLMs.txt and how does it differ from robots.txt?
I introduce LLMs.txt as a new development, distinct from the traditional robots.txt. While robots.txt controls how search engine crawlers access and index websites, LLMs.txt specifically targets "answer-based" search engines, which are often "generative AI-based."
This implies that LLMs.txt is designed to optimize content for AI models that focus on generating direct answers to user queries, rather than just indexing pages for general search results. Effectively, it's about tailoring website information for the specific consumption patterns of large language models.
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