AI's Impact On SEO and What's Next?

Plus New from OpenAI, Microsoft and Midjourney

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TL;DR

  1. The AI SEO Recap and What Comes Next

  2. OpenAI Doesn’t Really Care About Plugins No More

  3. Midjourney Is Entering The Text-to-Video Game

  4. Great Prompt Engineering Guide At The End

The AI SEO Recap and What Comes Next

2023 marked a transformative year in the SEO and search industry, heavily influenced by the emergence of generative AI. Here are some of the main outtakes which will see us through 2024.

Launch of Google Search Generative Experience (SGE): Google introduced SGE, an AI-powered search platform utilizing large-language models like PaLM2 and MUM. This marked a significant shift in how search queries are processed and answered, offering a variety of content formats including links, images, and videos.

Introduction of Bard: Google's Bard, an experimental conversational AI service, emerged as a direct response to ChatGPT. Powered initially by LaMDA and later upgraded to the Gemini model, Bard became a new player in the search landscape, although it initially lacked source citations for its AI-generated answers.

Changes in Google's AI Content Guidelines: Google revised its stance on AI-generated content. Content created primarily for users, rather than solely for search rankings, became acceptable. This represented a significant shift from previous guidelines that warned against AI-written content.

Impact on SEO Practices: The rise of AI in search led to concerns among content creators about AI answers potentially diverting traffic and revenue. This sparked discussions and legal actions regarding the use of online content for AI training.

Algorithm Updates and Evolving Ranking Factors: Google's search algorithm updates continued to influence SEO strategies, with a focus on the quality and relevance of content.

Increased Emphasis on Conversational and Personalized Search: With advancements in AI, search experiences became more conversational and personalized, indicating a future trend towards more user-centric search interfaces.

What does this mean for ecommerce sellers?

IMO there will be a huge shift in terms of how we interact with search engines going forward and as a result how content would need to be optimised for SEO.

The focus is likely to shift towards more personalized, predictive search experiences, making the understanding of user intent and behavior more critical than ever. The search behaviour would be much more conversational rather than keywords based.

AI -produced content would proliferate up to the point when there will be a massive consumer backlash resulting in a need for original, high quality content. SEO professionals need to balance volume and quality as Google will not allow for the quality of it’s recommended results and customer experience to dwindle.

The Quick Read:

Today’s Content Spotlight:

The Tools List:

🤖 SpeakUp AI - Transform text into high-quality podcasts using your own voice, up to 10 times faster with generative AI.

💡 Visual Electric - Get inspired by a vast library of images and prompts, and refine your ideas through creative iterations.

🔗 JazzUp AI - Enhance ecommerce marketing with AI-driven customer segmentation and targeted strategies, backed by data insights.

🪄 InMagic - Discover insights into your personality based on your Instagram profile.

❄️ Snowball - Streamline content creation with the help of AI.

🌟 Amazely (Product) - A dynamic tool for an undisclosed purpose.

🎥 HeyGen - Generate personalized outreach videos at scale.

🗣️ Findly - Engage in conversations with your Google Analytics data.

📄 Papermark AI - Transform how you share and collaborate on documents. Securely distribute pitch decks, sales proposals, and more with real-time analytics and customization options.

📑 Dewstack AI - Create and manage AI-enhanced documents that elevate your content and provide users with instant answers.

🔍 CapGo AI - Conduct market research with unprecedented speed, aggregating vast web information into spreadsheets in moments.

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