I incorporate personal experiences and stories into my writing to ensure readers connect with authentic human content, avoiding the generic feel associated with AI-generated text, which many find unappealing. This approach enhances the relatability and engagement of my writing, making it more compelling and trustworthy. Currently, AI is still unable to generate text that truly feels human-like, but things may change soon.
I am primarily focused on making sure no AI-generated text gets onto my client's websites. I have been vocal against this and warned about it. Recent algorithm updates have shown that sites that use Gen AI text as a primary content strategy will likely fall foul of a search engine's checking. This checking always had to happen after crawl time as a post-processing step as it's too computationally expensive to analyze at crawl time. With the massive rise of AI content hitting the web it presents a significant challenge for indexing and discovering useful content. Remember that Google's mission is to organize the world's information and all of a sudden a lot more information was being produced. Further more, it's largely regurgitated and rehashed content that serves no real utility. Use with caution is my message.
In the last few weeks, I have been focusing more on building brand mentions to improve and increase brand visibility. Rather than just building backlinks for a site, the approach is now to do the same but with more focus on branded sites with established traffic. I believe, over time, LLMs like gemini & chatgpt will pick up these mentions and hopefully consider these sites as "established brands" and showcase them in the overviews.
When it comes to generative engine optimization (GEO) content structuring is one of the most important aspects to focus on. Ensuring there is a clear question and answer type structure to content can go a long way when bundled within your general SEO.
We're focusing even more on creating unique data in an easy-to-understand way. AI needs strong sources that aren't found anywhere, so if you're able to invest in research that offers a unique perspective in a succinct way, then you're more likely to appear - or be cited - in generative text. Think surveys, interviews, even raw data. I wouldn't be surprised if PhDs that are translated for the "common folk" will find their way on generative text soon.
This is a pretty big topic for us, but I’ll try to summarize it as much as I can. One that that summarizes it is that our works are done with AI not by AI. We’re focusing on using it to optimize processes: Research (content, keywords, backlinks) Ideation Analysis (I conducted an audit recently on our website’s content and trust me, AI did a chunk of the work). Of course, I had to supervise things and double-check to make sure it’s not hallucinating or being bias. I hope this helps.
In the era of AI and generative text, focusing on content authenticity is key. We ensure our SEO strategy prioritizes human-like, engaging content that resonates with readers. By balancing AI efficiency with genuine human touch, we maintain relevance and trust with our audience.
My SEO strategy emphasises conversational queries with the rise of AI and generative text. People are increasingly using voice search and AI chatbots, and hence, our content must be aligned with how people naturally ask questions. One way is to create content answering specific questions in plain language. Instead of just focusing on typical keywords, I think of naturally worded queries. For instance, instead of targeting “best pizza recipes,” I would target “how to make the best pizza at home.” I also stress the overall user experience. Your site must have quick loading times, easy navigation, and structured content for better readability. I use headings, bullet points, and short paragraphs to ensure that my information is easily accessible to users. I also closely monitor analytics to get insights into user engagement to keep refining our approach.