/serp/ - SERP Analysis

Starting a discussion thread for /serp/.

This board focuses on SERP Analysis. Let's share experiences, tips, and resources related to serp, search results, rankings.

What are you working on? What challenges are you facing? Share your thoughts!

tracking if llm citations actually drive dollars is a nightmare. u basically have to map everyy single ai referral and mention back to ur crm to see the real revenue impact . anyone found a way to automate linking these direct leads without manual tagging?

article: https://www.semrush.com/blog/ai-visibility-roi/

the rise of generative summaries makes organic clicks feel almost impossible to capture. is anyone actually seeing any traffic from traditional blue links anymore?

the top three results are now almost entirely sponsored links making it nearly impossible to find unpaid content w/o scrolling. organic rankings are becoming a secondary feature

is anyone else seeing a massive shift in top of page visibility lately? it feels like the search results are becoming heavily dominated by vertical snippets and even when we maintain our primary position, the actual click-thru rate is plummeting hitting new lows.

deciding between running custom python scripts or using a paid service is tricky. manual checks are fine for small niche keywords , but they fail when tracking high-volume competition across multiple regions. automated monitoring is the only way to catch sudden ranking drops before they ruin your traffic . you might think it is too expensive , but the consistent data stream is worth the cost.

relying on private windows for serp checks is a huge mistake because it ignores your actual user intent signals . if you want to see what competitors are actually winning, you need to analyze the search features that appear in localized or logged-in environments. instead of refreshing the browser, try using a simple python script with import requests; response = requests. get(" to scrape raw html and see what elements are truly present. focus on identifying patterns in the featured snippets and local pack rather than just looking at organic blue links. checking for hidden intent is much more valuable than just tracking position 1 chasing a number. the real battle is winning the zero-click results. ⭐

clients are constantly asking if their brand is actually showing up in ai responses. most of us are still just guessing because there isn't a single dashboard that gives a clear answer yet. i found some ways to track measurable signals from current data sources instead of relying on vibes. it helps to focus on things like brand mentions and direct citations in the training sets. it is basically just tracking a new type of organic visibility . anyone else figured out a way to pull actual numbers for this?
>i am tired of saying i dont know

found this here: https://searchengineland.com/your-client-just-asked-if-they-show-up-in-chatgpt-now-what-482951

been digging through sistrix data for us and uk domains to see what actually moved between may 26 and june 2. the rollout was active from may 21 to june 2, and the shifts aren't just random noise. looking at the biggest winners, it seems like intent and how well a site matches the specific market are the main drivers here. it is not just about backlink profiles or old school seo authority anymore. instead, the big visibility swings are coming from changes in source type and deeper alignment with user needs.
>the biggest shifts happened when the content matched the underlying intent perfectly

it feels like google is getting much more aggressive at filtering out sites that have the right keywords but the wrong purpose for the query. it is basically a massive purge of low-utility pages . i am seeing a lot of movement in how specific types of sources are being prioritized over generalist sites. has anyone else noticed their rankings tanking despite having no technical errors or lost links? it looks like the market fit aspect is becoming the new king of the core updates.

https://www.aleydasolis.com/en/ai-search/google-may-2026-core-update-analysis-intent-market-fit-and-source-type-drove-the-biggest-visibility-shifts/

the recent shift toward zero-click results is making it nearly impossible to track true visibility through standard analytics. most of our traffic now comes from indirect brand searches rather than direct keyword hits. we need to focus more on brand impressions and less on the vanity metric of raw organic click-through rates