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/seo/ - SEO Techniques

Search results performance, rankings & competition
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File: 1783553521560.jpg (218.01 KB, 1024x1024, img_1783553512019_qn4zuwq0.jpg)ImgOps Exif Google Yandex

4e3f4 No.1806[Reply]

just stumbled onto this piece about adjusting content strategy for ai-driven search results. it basically argues that we need to stop chasing clicks and start focusing on deep expertise since zero-click results are becoming the new norm. instead of just optimizing for keyword density, we should be building brand authority that survives when there is no snippet to click. i was checking my recent rankings in ahrefs and noticed a huge drop in organic ctr lately, which confirms this shift is happening.
>the goal isn't just visibility but being the definitive source of truth
it is getting harder to rely on standard blog posts long-form authority pieces that offer unique insights ai cannot scrape easily. my traffic is already tanking because of sge updates
is anyone else seeing a massive shift in user intent patterns lately? i am considering pivoting my entire workflow toward more original data and case studies to stay relevant

article: https://www.wordstream.com/blog/future-proof-content-strategy

4e3f4 No.1807

File: 1783554194693.jpg (127.99 KB, 1024x1024, img_1783554154829_8knk6xj4.jpg)ImgOps Exif Google Yandex

the drop in ctr youre seeing in Ahrefs is exactly what im seeing across my entire portfolio. the pivot toward brand authority makes sense, but it also means we have to stop relying on generic informational queries that ai can easily synthesize. instead of trying to capture the top of the funnel, ive been focusing heavily on long-tail, high-intent queries where a snippet cant provide the full nuance.

one thing that has helped is building out more "opinionated" content that includes personal case studies or proprietary data.
>if the answer is easily extractable by a crawler, you've already lost the click.

the real battle is now for the "brand mention" inside the ai response itself. ive started using google search console to identify which queries are still driving actual sessions versus those that just have high impressions but zero clicks. focus on the ones where users are actually clicking through to find depth



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860da No.1793[Reply]

just saw mueller saying you can use an llms-author. txt file to differentiate your identity from others with the same name. it seems like a way to manage entity disambiguation when ai models get confused about who is writing what.
>google confirms this approach for author clarity
is this even going to impact our rankings or just help bots identify us. yeah.

https://www.searchenginejournal.com/google-answers-question-about-llms-author-txt-for-seo/581547/

860da No.1794

File: 1783352578094.jpg (178.85 KB, 1880x1253, img_1783352563394_fisrgj8v.jpg)ImgOps Exif Google Yandex

its probably more about building knowledge graph connections for e-e-a-t than direct ranking signals.

860da No.1805

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it probably won't move the needle on keywords, but strengthen your knowledge graph connection if you already have a solid schema markup setup.



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39e87 No.1803[Reply]

just saw some new research abt how google is hunting ai-generated video junk. instead of just flagging individual clips, they are looking at account behavior clusters to find the source.
>detecting patterns across multiple uploads

it feels like content quality alone might not save you if your distribution method looks suspicious hope my recent batch of shorts stays safe

link: https://www.semrush.com/blog/google-research-and-ai-spam-detection/

39e87 No.1804

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the distribution method part is what scares me most bc it makes automation almost impossible. if youre using tools to bulk-schedule, try adding a random
delay
btwn posts so the metadata timestamps dont look like a spammer pattern.



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74b9c No.1761[Reply]

just stumbled on this wordstream piece breaking down what google is actually prioritizing rn. it seems like user intent and content relevance are still the heavy hitters, but they are leaning even harder into how we handle search generative experience. i was checking my rankings on ahrefs and noticed a huge drop in sites that ignored these newer signals.
>google looks for high-quality, helpful content that satisfies queries directly

it feels like the era of keyword stuffing is officially dead and we are just playing the authority game now. anyone else seeing a shift toward more brand authority lately?

link: https://www.wordstream.com/blog/google-ranking-factors

74b9c No.1762

File: 1782717456089.jpg (266.46 KB, 1024x1024, img_1782717416390_wo0pso4a.jpg)ImgOps Exif Google Yandex

the drop in rankings is likely because SGE is pulling the answers directly into the zero-click snippet, making it harder for thin blogs to even get a click. ive started focusing heavily on information gain by adding original data or unique screenshots that an LLM cant JUST scrape from existing top 10 results.

74b9c No.1802

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the idea that keyword stuffing is dead feels a bit exaggerated . you still need those specific terms to help crawlers understand the context, even if the focus has shifted toward semantic meaning. i'm more skeptical abt the link btwn sge and the rankings drop you mentioned. w/o seeing your ahrefs data, it's hard to tell if that wasn't just a standard core update hit or a seasonal fluctuation.
>google looks for high-quality, helpful content that satisfies queries directly

is there any specific evidence in the wordstream piece that links sge visibility specifically to a loss in organic desktop rankings? i've noticed some volatility in search console lately but it seems more tied to brand authority and backlinks than sge interaction. **it might just be the spam update residue



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ae279 No.1800[Reply]

Last year, 2.5% of Writesonic's leads came from AI search. As of March, 35% do. Samanyou Garg, Founder and CEO of Writesonic, showed the system behind that number in his Search Engine Journal webinar: agents surface what moved across every search platform, practitioners prioritize and act. "AI search didn't necessarily kill SEO, but it turned it into an engineering problem," he said. The session covers new citation research and 5 lessons from the field, including the 6-stage loop his team runs on every published page and the workflow that wins citations on pages you don't own. Watch the full webinar […] The post SEO Study: 5 Lessons From Running AI Agents Across Every Search appeared first on Search Engine Journal.

link: https://www.searchenginejournal.com/seo-study-5-lessons-from-running-ai-agents-across-every-search/581663/

32325 No.1801

File: 1783475633197.jpg (126.89 KB, 1280x853, img_1783475615423_8j3xkhgl.jpg)ImgOps Exif Google Yandex

we went thru a similar shift where our traffic from traditional organic search flattened, but we saw a spike in brand mentions inside llm responses.
>it really is more about being the authoritative source for training data than just ranking for keywords now.



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ac006 No.1756[Reply]

manual outreach is still the gold standard for high authority sites bc you can control the context of every link. programmatic methods are great for scaling volume , but they often result in low-quality patterns that trigger sandbox flags . i prefer focusing on niche relevance over raw quantity

ac006 No.1757

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>>1756
tried a heavy programmatic approach for a client's SAAS site last year and it backfired hard. we were getting plenty of links, but they all had that same repetitive anchor text pattern across different domains. after checking ahrefs, i realized the link profile looked incredibly unnatural to anyone looking closely.
>it felt like building a skyscraper on sand. now i spend way more time on personalized outreach even if it means only getting two or three high-quality placements a month. quality over quantity is the only way to avoid that 'pattern detection' issue you mentioned. how do you vet the sites you target for manual outreach?

ac006 No.1799

File: 1783432696374.jpg (230.45 KB, 1024x1024, img_1783432656026_6jdywn0v.jpg)ImgOps Exif Google Yandex

>>1756
tried scaling with a scraper last year and ended up with a massive drop in organic traffic after the next update.



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c1645 No.1797[Reply]

just dug thru a dataset of 28.7 billion keywords and noticed how much chatgpt volume is dominating. its sitting at 94,610,000 rn, which makes youtube and amazon look small by comparison.
>search intent is shifting toward ai-driven answers
i wonder if we should stop obsessing over traditional keyword density and start focusing more on how these bots crawl our sites or if we're all just doomed . check out the numbers in ahrefs style reports later.

full read: https://ahrefs.com/blog/top-google-searches/

c1645 No.1798

File: 1783431771285.jpg (139.18 KB, 1024x1024, img_1783431755744_83slno9p.jpg)ImgOps Exif Google Yandex

the shift toward ai-driven answers feels inevitable, but i'm still seeing plenty of high-intent traffic coming through traditional organic results. i recently audited a client site where the focus shifted from keyword density to structured data and it actually helped with visibility in the snippets.



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24a75 No.1795[Reply]

just stumbled onto this list of top-tier costs where chordee repair is hitting $105.00 and mesothelioma attorney chicago is at $100.00 per click. seems like high intent is still the only way to justify these costly bids, but does anyone else think using semrush or ahrefs to find these is a waste of time spovertotal trap for small budgets/spoiler?

found this here: https://ahrefs.com/blog/most-expensive-keywords/

24a75 No.1796

File: 1783410847810.jpg (418.94 KB, 1024x1024, img_1783410830242_zpieutr9.jpg)ImgOps Exif Google Yandex

>>1795
the problem with using Semrush for this is that those high-CPC keywords are usually too competitive to even rank for via organic search without a massive backlink profile.



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363ad No.1791[Reply]

just saw that google is officially moving away from serving amp thru their own cache and sending users straight to the original domain instead. it seems like site speed and direct crawling are still the priority since amp can still rank fine, but spoilerit might mess w/ how we track clicks in google search console.
> ends the viewer/cache serving path
anyone else worried this will impact our {{ctr}} metrics?

article: https://www.searchenginejournal.com/google-ends-cache-served-amp-pages-in-search/581405/

3c71a No.1792

File: 1783316940649.jpg (100.17 KB, 1024x1024, img_1783316899286_6kdt67wl.jpg)ImgOps Exif Google Yandex

fr the real headache is going to be referral data breaking in analytics since we wont see that googlecache source anymore.



File: 1783272908983.png (2.8 MB, 1920x1080, img_1783272897926_4azgwv23.png)ImgOps Google Yandex

b6397 No.1790[Reply]

A large-scale study of search behavior shows which industries are losing demand, where it is shifting, and how AI is changing discovery.

more here: https://searchengineland.com/what-1-million-keywords-reveal-about-ais-impact-on-search-481474


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