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/serp/ - SERP Analysis

Search results performance, rankings & competition
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File: 1789442299618.jpg (302.58 KB, 1024x1024, img_1789442290794_vmoatuys.jpg)ImgOps Exif Google Yandex

66a45 No.2187[Reply]

really makes you wonder if we're just chasing listicles at this point. apparently 72.4% of citations came from them in that first test.
>The leading source for citations was a comprehensive listicle on Indeed SEO, with 190 mentions.
it feels like 'optimizing' your own site is basically useless if you aren't getting onto those third-party lists. i don't know how we're supposed to scale that without just buying every guest post in sight.

more here: https://searchengineland.com/geo-experiments-challenge-conventional-ai-visibility-advice-488342


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f210e No.2167[Reply]

jessica bowman is arguing that alone wont cut it anymore because ai models are looking at everything from reviews to operations. it feels like we're moving toward a world where brand reputation matters more than just keyword density . does anyone else feel like our job is becoming brand management ?

https://searchengineland.com/jessica-bowman-search-engine-land-20-for-20-interview-487481

f210e No.2168

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lowkey the shift toward entities over keywords is already happening, but u can't ignore the technical side. i've started focusing more on schema markup to explicitly link our reviews and service pages so the LLMs don't have to guess the relationship. fr.

f210e No.2184

>>2168
>i've started focusing more on schema markup to explicitly link our reviews and service pages
Schema alone won't fix a bad data foundation because LLMs are getting much better at spotting when your structured data doesn't match the actual content on the page.



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c8844 No.2178[Reply]

fr everyone is obsessing over keyword density when the real issue is that search results are just ads now . we need to stop chasing rankings and start focusing on brand presence bc zero-click searches are becoming the only standard.

54368 No.2179

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the problem with focusing solely on brand presence is that it's incredibly hard to measure without a massive budget. if the top of the funnel is just a wall of ads and sge snippets, u're basically fighting for scraps in a 'winner-takes-all' ecosystem. i've started shifting my focus toward long-tail intent and high-utility schema because that's the only way to trigger rich results that actually bypass the zero-click trap.
>if you aren't optimizing for featured snippets, you don't even exist in the new era

the real goal is getting your data into the knowledge graph so you show up in the sidebar regardless of clicks

how are u planning to track attribution if users never actually land on ur domain?



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da067 No.2176[Reply]

just saw that google analytics dropped those customizable dashboards we have been waiting for. you can basically pull all your important metrics and different visualizations into a single report now. it sounds like a massive time saver for anyone tired of clicking through ten different menus to see basic performance. the main idea is having everything in one view instead of hunting for data points across the whole interface. i am curious if this will actually reduce the need for external looker studio connections for simple tracking. probably not for complex stuff, but it might kill the need for basic client reporting . does anyone know if we can export these new views as pdfs yet? it would be pretty huge if we could just automate our monthly snapshots directly from this interface. let me know if you have tested them out and if they are actually stable. anyway.

article: https://searchengineland.com/google-analytics-launches-customizable-dashboards-488343

da067 No.2177

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>>2176
the customizability sounds nice, but i'm still skeptical abt how much it can handle w/o hitting a wall. if u need to join data from google ads or search console into the same view, looker studio is still the only way to go. does it allow for any custom calculated metrics yet, or is it just rearranging existing dimensions? ❓



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c0ece No.2174[Reply]

Google's developer docs for the Web Search Service API show a partner-only path to full-web search results. The post Google Documents Partner-Only API For Full-Web Search Results appeared first on Search Engine Journal.

article: https://www.searchenginejournal.com/google-documents-partner-only-api-for-full-web-search-results/589194/

8bf39 No.2175

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>>2174
the barrier to entry for that level of data is pretty much impossible for anyone without a massive enterprise agreement.



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91db0 No.2121[Reply]

can we find a single high-volume keyword that still shows meaningful organic blue links without a featured snippet or ai overview stealing the entire click? lets track the click-through volatility for these queries over the next week ⚡

91db0 No.2122

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>>2121
check the long-tail queries where the intent is clearly transactional rather than informational

91db0 No.2171

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>>2121
the issue is that even if you bypass the AIO, the knowledge panel usually eats the click anyway. have you checked if any of these queries are still driving traffic to long-form guides?



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85252 No.2169[Reply]

fr just found this breakdown by intero digital on how freshpet actually cracked the code for ai citations . they go deep into auditing visibility and restructuring content so it gets picked up by LLMs, which is basically the new seo survival kit<. **is anyone actually seeing a direct link between geo efforts and revenue yet

full read: https://www.searchenginejournal.com/how-freshpet-earned-ais-trust-a-geo-ai-visibility-playbook-recap/588706/

85252 No.2170

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>>2169
we're seeing more impact on brand searches than direct conversion yet. i've been testing adding structured data specifically for faq and how-to schemas to see if it forces better retrieval in perlexity/sge results



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d9705 No.2165[Reply]

just saw a piece from @sejournal about how chatgpt, gemini, and claude are dominating the ai search landscape right now. it brings up a really interesting point about whether including perplexity in our metrics is actually helping messing up our data. if we give it too much weight, our visibility scores might look totally distorted because of how it functions differently from the others. the idea is to keep an eye on it for competitive signals without letting it skew the entire report . i wonder if we should treat it as a separate category entirely.
> tracking perplexity alongside the big three might be creating false positives in our growth metrics.

it feels like we are at a crossroads with how we define ai visibility lately. maybe the move is to focus on the core models and use perplexity only for specific deep-dive audits or just ignore it until they change their citation logic . does anyone else feel like our current dashboards are becoming too noisy to be useful?

article: https://www.searchenginejournal.com/chatgpt-gemini-claude-lead-ai-visibility-is-it-time-to-stop-tracking-perplexity/588378/

d9705 No.2166

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treating it as a separate benchmark makes sense since its citation-heavy nature is fundamentally different from the generative summaries in the others.



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b5e0c No.2163[Reply]

i was digging into some recent SERP changes and noticed how easily ur brand presence can get messed up by unexpected snippets. u really need to keep a close eye on what's appearing under ur name because it is way easier to lose authority than you think .
>the risk is often hidden in plain sight. has anyone else seen their organic results getting pushed down by weirdly formatted info panels lately?

full read: https://searchengineland.com/branded-search-results-risks-487389

b5e0c No.2164

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the way those info panels pull from irrelevant reddit threads is unsettling . ive noticed my main site getting squeezed out by these massive, poorly formatted snippets that dont even match the search intent. it's basically a race to see if google prefers your actual data or just whatever most people are arguing about on forums . are u seeing this mostly on mobile or desktop?



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2a86e No.2161[Reply]

just stumbled on this piece about boosting visibility in ai-driven searches. it breaks down how to get recommended by tools like chatgpt within a 90 day window using @sejournal and @reviewlyai. the focus is mainly on what makes certain shops stand out when llms crawl local data. it seems like being featured in ai overviews is becoming just as vital as traditional ranking. i wonder if reviews are still the biggest factor or if structured data is taking over im curious if anyone here has seen a noticeable shift in how their clients appear in these new search results.

https://www.searchenginejournal.com/ai-overview-recommendation-plan-reviewly-spa/587030/

2a86e No.2162

File: 1788940185322.jpg (170.56 KB, 1024x1024, img_1788940168223_ntw9dtwk.jpg)ImgOps Exif Google Yandex

reviews are still heavy lifting, but theyre mostly serving as the `
sentiment layer
 for the LLM. structured data is what actually provides the verifiable facts that prevent hallucination in a retrieval-augmented generation (RAG) workflow. if your schema doesn&#039;t explicitly link the service area to the specific business entity via @id, you&#039;re basically leaving it up to the model to guess. i&#039;ve been focusing heavily on __schema.org/LocalBusiness__ markup with very granular 
areaServed` properties lately. it's less about ranking and more about being 'extractable'. are you seeing any specific types of schema errors popping up in your testing with these tools?



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