SEO-Optimized Content Generation

with Custom AI Solutions

The AI was trained with a broad knowledge base across diverse topics, forming a solid foundation for creating content. To ensure relevancy, we incorporated real-time data tools such as web search APIs. Using SEO platform Ubersuggest, the AI performed detailed analysis to identify trending keywords, related topics, and content gaps, ensuring the articles would align with current search engine demands.

We programmed the AI to generate SEO-optimized content by:

• Strategically incorporating keywords across the article.
• Structuring the content with proper headings (H1, H2, etc.) to enhance readability.
• Adding meta descriptions, meta title, slug, both internal and external links to improve discoverability.

To keep the tone natural and human-like, we ensured the AI met readability benchmarks like the Flesch Reading Ease score, while maintaining relevance to the target audience.

A custom-built review portal allowed human editors to review drafts, suggest edits, and approve content before publication. By using Reinforcement Learning with Human Feedback (RLHF), the AI’s output improved over time, continuously refining its content based on the feedback from the human team, enhancing both quality and relevance.

Once approved, the content was seamlessly integrated into the client’s CMS for automatic publishing. The AI could also schedule content in alignment with the client’s editorial calendar and share it across social media platforms, ensuring timely delivery and maximizing exposure.