
AI Search platforms and the need for anti-spam systems, core systems, and site-level quality scoring
SEO From The Front LinesShow Notes
The AI Search platforms like ChatGPT, Perplexity, Claude,and others are in their infancy and some are taking advantage of that by implementing tactics that spam those platforms. But that will not always be the case. I cover how the AI Search platforms are building their own search indexes, will need to developer their own core visibility systems, while also building strong anti-spam systems. And when they do, sites gaming the system can potentially tank as those updates roll out. In addition, the AI Search platforms could even have their own version of Google’s webspam team that can place manual actions (penalties) on websites spamming to rank across AI chatbots. And beyond that, I cover the importance of understanding site-level quality and authority to ensure high-quality and trusted content can surface across ChatGPT, Perplexity, Claude, and others. The AI Search platforms have work to do on that front. I cover all of this, and more, in my video.
Blog post: https://www.gsqi.com/marketing-blog/ai-search-core-systems-anti-spam/
Chapters: 00:00 The spamming and gaming of AI Search platforms. 02:36 With spamming Search or AI Search, it works until itdoesn’t… 04:13 AI Search platforms are building their own indexes. 05:40 The need for anti-spam systems in AI Search. 07:20 How are companies spamming AI Search now? 09:56 Site-level quality and trust in AI Search. 11:47 AI Search and “Authority” 14:42 Combining site-level quality and anti-spam systems. 15:58 The AI Search core systems and anti-spam systems arecoming.
Follow me on x: https://x.com/glenngabe Connect with me on LinkedIn: https://www.linkedin.com/in/glenngabe/ I’m on Bluesky: https://bsky.app/profile/glenngabe.bsky.social
More from SEO From The Front Lines
In August of 2025, 434 days ago to be exact, I tested AI Search platforms like ChatGPT and Claude to see how well they could render JavaScript-based content. The results were terrible. So I decided to rerun my testing to see how much the AI Search platforms have evolved since then. You would think that ChatGPT, Claude, and Perplexity would be rendering JavaScript-based content now in order to get a full picture of the content across websites...
Glenn covers four case studies based on Google's August 2026 spam update. The update was powerful and impacted many sites that were violating Google's spam policies. Glenn covers a number of important topics, including 'Scaled content abuse', AI-generated content, programmatic content, 'Thin affiliates', 'Malicious functionality', and more.
The May 2026 Google core update was a powerful algorithm update that rolled out on May 21, 2026 and completed on June 2, 2026. Unlike the March 2026 core update, the May update was extremely powerful and caused a lot of volatility across sites, categories, and countries.
I coined the phrase “Mt. AI” based on seeing many sites scale with AI-generated content, surge in Google, only to crash as Google’s systems pick up what’s going on (or Google applies a manual action to the site for “Scaled content abuse”.) Well, there was a great example of this happening recently, which provided a unique opportunity to see how citations in ChatGPT were impacted in real-time. The website National Today added a new directory recently containing over 850K AI-generated local news articles. And no, they are not a local news site... The site surged in Google and in AI search platforms like ChatGPT. But those articles got noticed... And then Futurism wrote an expose about the situation, Google picked up the issue, and then applied a manual action for “Scaled content abuse”. And as you can guess, the site tanked in Google’s 10-blue links, AI Overviews, and AI Mode. But how did the site fare in ChatGPT? Well, that's the topic of my case study, which I cover in this video. I dug into AI Search visibility for National Today’s /us/ directory where all of the AI-generated local news content resides. Like I would expect, citations dropped heavily in ChatGPT once the manual action was applied. My video contains all of the details. Chapters: 00:00 When “Mt. AI” crumbles, ChatGPT citations follow suit. 00:52 Scaled content abuse with 850K AI-generated news articles. 01:27 “Mt. AI” and the problem with scaling AI-generatedcontent heavily. 03:14 Google applies a manual action for “Scaled content abuse” 03:54 The site drops in AI Overviews and AI Mode. 04:24 What happens with ChatGPT when a site tanks in Google? 05:52 Examples of citations dropping in ChatGPT. 08:05 Some ChatGPT citations did remain (for now). 09:14 Summary: Don’t become the next “Mt. AI”. Beware.
“What do I need to do in order to be visible in AISearch?" I get that question a lot. So the "Gabeback Machine" is back, but with an AI Search twist :) In this video, I cover my blog post titled, “Straight From the (AI) Source: Is AEO/GEO different than SEO? Google, Microsoft, and others explain how to be visible in AI search [Quotes, videos, articles, and more]”. There's a lot of debate about how to make sure you are visible in AI Search. Some say AEO/GEO strategy and tactics are different than what you should be doing for SEO, while others say what you do for SEO should cover AI Search. Well, just like I did when covering Google's site-level quality evaluation, Iwanted to provide a central place where site owners could find all of the information that the various AI search platforms have explained about how to be visible across AI search. Join me as I cover quotes, videos, articles, and more covering what Google, Microsoft, and others have explained about SEO versus AEO/GEO. There is some great information directly from the source. I also plan to update my post as we learn more from the various platforms about AI search visibility.