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In today's rapidly evolving search landscape, understanding SERP changes across different dimensions is crucial for SEO success. Authoritas' new SERP Comparison module offers unprecedented insight into how search results evolve across time, location, devices, and AI Overview expansions. Compare SERPs through visual screenshots or ranking tables, analyze temporal changes, track geographic variations, and understand the full impact of AI Overviews on your rankings. Get comprehensive visibility into how search results change and evolve to make more informed SEO decisions.

As Google rolls out AI Overviews internationally, these AI-generated summaries are dramatically reshaping the search landscape and impacting organic visibility. Authoritas now offers comprehensive AIO tracking that goes beyond simple detection, providing deep insights into how these AI-powered SERP features affect your rankings and visibility. Learn how our platform expands and captures complete AIO content, tracks ranking positions across devices, monitors competitor movements, and provides actionable data through detailed exports and integrations. Discover why traditional SERP tracking isn't enough and how you can prepare your SEO strategy for the AI-driven future of search.

As Google continues to evolve its search capabilities, the introduction of AI Overviews (AIOs), formerly known as Search Generative Experience (SGE), has created a huge upheaval for SEO professionals. Understanding the alignment between organic and generative search results has become critical for understanding search intent and maintaining competitive visibility. This post introduces the Authoritas GOA Score™ (Generative to Organic Alignment) and OGA Score™ (Organic to Generative Alignment) as two essential metrics for assessing this alignment and provides practical guidance on how to leverage these insights in your SEO strategy.

Google's new SERP layouts, featuring AI Overviews, are disrupting traditional SEO visibility and rank tracking models. The AI Overviews, now rolling out globally, introduce complex changes that challenge the definition of a top-ranking site. SEOs must adapt their strategies to navigate these significant shifts in search results presentation.

This is the next wave of our in-depth research into the impact Google's new AI-generative results are going to have on SEO. This time we focused on the impact on brand terms, brand + product or service, brand + generic terms and compare the results to generic terms and product or service terms. The SERP is going to change and it's going to have an impact across all 15 markets we studied.

We conducted a study of 1,000 popular commercial search terms to try and develop a picture of the probable impact of Google's new SGE experience on organic rankings and performance. The research depicts a scary picture of potentially dramatic falls in organic visibility for many sites.

Review our latest assessment of how Google's SGE feature is going to change the SERP as you know it. This has implications for rank tracking, content strategy, page optimisation, content quality and more.

If a web page listing is elevated into the featured snippet position, we no longer repeat the listing in the search results. This declutters the results & helps users locate relevant information more easily. Featured snippets count as one of the ten web page listings we show.

Up until last year, Wikipedia truly dominated as the cited source in knowledge panels for brands. The truth is much more complex, of course – Google gets its information from multiple sources and gets corroboration / cross checks that information across multiple other sources before including a brand in the Knowledge Graph.

You can extract local business listings from Google in two ways:

If you want a quick and easy way to find your own IP address on Google Search, then simply go to your local version of Google and ask the question, “What is my IP address”. Google gives you the answer right at the top of the search results.

MANY of us have seen SEO click through rate (CTR) studies, performed on large data sets, but what can we learn from these, and, more to the point, are they truly representative? Given the ever changing nature of the SERPs – are click-through rate (CTR) studies too crude and limited in their scope to cater for the multi-faceted nature of a typical SERP?  And in fact is there even such a thing as a typical SERP anymore?