Common Crawl, the web dataset used to train major AI models like ChatGPT and Gemini, recently released guidelines on web visibility. Search expert Suganthan Mohanadasan has now automated these checks into a free tool, allowing business owners to verify if AI crawlers can index their sites.

A recent experiment revealed that AI models like ChatGPT, Claude, and Gemini provide different strategic recommendations based on the context provided. This highlights the importance of understanding the nuances of AI decision-making for businesses. By considering the context and objectives of a business, AI models can offer more tailored and effective guidance.

Google's Open Knowledge Format (OKF) v0.2 introduces a trust layer to help structure web content into clear, interconnected concepts. Although AI search agents do not actively crawl OKF bundles on websites yet, adopting this framework offers local businesses a powerful blueprint to audit and refine how AI models interpret their brand.

The shift from traditional search engines to AI-powered 'Answer Engines' like ChatGPT, Perplexity, and Gemini is redefining online visibility. To stay discoverable, local and small businesses must transition from keyword matching to becoming trusted structured data sources that generative AI models cite directly.

Google has rolled out its 3.5 Flash-Lite AI model in Google Search, a significant upgrade that enhances search experiences and agentic workflows. This model is faster and more cost-effective, delivering 350 output tokens per second and outperforming prior Flash-Lite generations. Businesses should optimize their online presence for AI search to stay competitive.