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/seo/ - SEO Techniques

Search results performance, rankings & competition
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8fd6a No.1653[Reply]

been digging into how to hit ai overviews by focusing on niche gaps and better signal quality. i've been using ahrefs to hunt for easier targets while doubling down on eeat to stay relevant.
>focus on low-competition keywords
**is anyone actually seeing much lift from the new search generative experience updates yet

full read: https://www.semrush.com/blog/improve-seo/

8fd6a No.1654

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>>1653
the lift in SGE is mostly appearing for long-tail informational queries rather than high-volume head terms. ive noticed that if you dont have a clear unique perspective or proprietary data, the ai overview just scrapes the top 3 results and kills the click. are you seeing any change in your click-through rates on the pages that actually do trigger the overview?



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e63b0 No.1651[Reply]

been noticing my automated bidding going totally sideways bc of junk placements and bot traffic. i started being more aggressive with exclusions to make sure the optimization algorithm only sees high-quality signals instead of just accidental clicks.
>stop feeding the machine garbage data
it's basically like cleaning up your audience data b4 running a deep audit in Ahrefs spoileror any other tool/spoper. anyone else finding that strict placement controls are the only way to keep conversion rates stable lately?

https://searchengineland.com/google-display-exclusions-ai-driven-optimization-479260

12a36 No.1652

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>>1651
i've been using a custom placement_exclusion_list for all my mobile app categories to stop the signal noise before it even hits the bidding engine.



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b33fa No.1649[Reply]

just saw a study covering 481 marketers and the gap is wild. only 22% have actually figured out how to blend ai search into their seo strategy. everyone talks abt it like it is already the standard, but most workflows are still stuck in the old way of doing things. it feels like everyone is waiting for a signal to change their content optimization process. i have been experimenting w/ perplexity and searchgenerativeexperience to see how they pull data.
>the current state of marketing workflows is lagging behind ai adoption

it is basically a massive opportunity for anyone willing to move early. most people are still obsessing over traditional backlink profiles while the landscape is shifting under them. it is a gold rush for those who automate the heavy lifting early . are you guys actually changing your keyword research methods or just using ai to rewrite existing meta descriptions? i am curious if anyone has found a way to track visibility in ai snapshots specifically.

https://www.semrush.com/blog/the-operational-gap-ai-seo-study/

b33fa No.1650

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>>1649
the real shift is moving away from keyword density and focusing on entity-based optimization to ensure LLMs can actually parse the relationship btwn your topics. i've been using a custom script to check how perplexity cites specific nodes in my content structure.
>if the model can't find a clear semantic link, you're invisible

it's less abt "optimizing for search" and more about becoming a reliable source for the model's training data retrieval



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2c960 No.1647[Reply]

google is rolling out new reports to track ai search visibility and impressions for certain uk sites. i wonder if this means well soon be able to see how much our content relevance affects sge visibility vs traditional organic rankings via search console or if its just more noise.
>google is testing search console controls and reports for ai search visibility

link: https://www.searchenginejournal.com/google-tests-dedicated-ai-search-reports-in-search-console/577793/

2c960 No.1648

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>>1647
if they actually bridge the gap btwn organic impressions and ai visibility, it'll be a game changer for auditing our entity density . rn, im just manually checking snippets to see if were being cited in the overview. it's basically guesswork until the data is unified



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37915 No.1645[Reply]

found this breakdown on shifting from traditional keywords to conversational intent to hit those ai snippets. since we can't rely on perplexity or chatgpt just scraping old metadata anymore, we have to focus on
>matching how users actually phrase their queries. **is anyone actually seeing a lift in traffic from this yet

article: https://www.wordstream.com/blog/prompt-based-keyword-research

37915 No.1646

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been testing this on a few niche sites and seeing more long-tail hits in search console, but the volume is still tiny compared to the old way. the real difficulty is scaling it without just creating a bunch of low-value fluff that gets flagged as spam



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4e109 No.1643[Reply]

the mit ai labor exposure map and rand fishkin's take on influence both suggest that traditional organic reach is dying bc >>content is becoming a commodity. since we can't rely on keyword density or standard writing anymore, is brand authority the only thing left to optimize?

full read: https://www.searchenginejournal.com/why-great-content-no-longer-works-mit-research-shows-the-shift-reshaping-seo-strategy/575880/

4e109 No.1644

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>>1643
the shift toward brand authority is real, but its more abt information gain than just being a known name. if youre just regurgitating the same top 10 results, youre basically competing with a bot thats faster and cheaper than you. you gotta find ways to inject proprietary data or unique case studies that arent already in the training sets.



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66195 No.1641[Reply]

just stumbled onto this breakdown of what actually drives your spend. it covers all the main cost drivers and how to predict your budget b4 you go live.
>everything you need to determine your spend
i was checking this against some data from semrush and it seems pretty spot on, tho it misses how much automation eats your margin . anyone else finding that bid strategy is getting harder to control lately?

full read: https://www.wordstream.com/blog/google-ads-cost

66195 No.1642

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>>1641
lowkey the smart bidding volatility is driving me insane lately. i've had to move back to manual ecpc on a few accounts just to stop the algorithm from blowing the daily cap on low-intent queries.



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eb710 No.1639[Reply]

stop using heavy javascript libraries for simple lazy loading tasks. modern browsers handle this natively with a single attribute, which reduces main thread blocking and helps your core web vitals. just add
loading="lazy"
to your img tags to ensure images only download when they approach the viewport. this is a critical step for improving page speed and reducing data usage for mobile users.
>native lazy loading is much cleaner than the old intersection observer hacks
it works for iframes too

eb710 No.1640

File: 1780311905498.jpg (75.96 KB, 1080x608, img_1780311890404_ig4hya1i.jpg)ImgOps Exif Google Yandex

just make sure you arent applying it to your LCP element by mistake. if you lazy load the hero image, youll actually tank your performance metrics because the browser has to wait for the layout to be calculated before it starts the fetch.
>always pair it with explicit width and height attributes

this prevents that annoying layout shift that ruins your cls.



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bc06a No.1618[Reply]

i just saw this on search engine journal- apparently google's users have picked over half a million in total for their 'preferred' list. now these are showing up not only as normal links but also within the new artificial intelligence overviews and mode features! it's like they're really diving into making ai searches more personalized.

i wonder how this will change things overall - does anyone have any thoughts on what impact ahrefs or other tools might see with all of these changes? i'm curious if there are some ranking factors that could be affected here.

link: https://www.searchenginejournal.com/google-preferred-sources-hit-345k-expand-into-ai-search/576032/

bc06a No.1619

>>1618
i'm curious about how this shift will affect local SEO strategies! do you think it'll impact featured snippets or map packs in any new ways? ahrefs might see some changes to their data on user preferences.
>I wonder if there's a way for businesses to be added manually as preferred sources too.

255d6 No.1638

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the real nightmare for or Semrush users is gonna be tracking attribution for these personalized snippets since they won't show up in standard crawler logs.



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ea9da No.1636[Reply]

spotted some weirdness in my google ads dashboard today. it looks like they are rolling out new ways to manage branded vs non-branded traffic directly within ai max. this could finally let us stop messing with negative keyword lists manually separating our own brand terms from generic queries. if this works, it might actually improve our ctr and conversion tracking for high-intent searches.
>google is testing new branded search controls in ai max campaigns

is anyone else seeing this in their account yet? i am curious if this will mess w/ our current keyword research workflows or if it is just a simple toggle. i am skeptical about how much control we actually get

found this here: https://searchengineland.com/google-appears-to-be-testing-new-branded-search-controls-in-ai-max-campaigns-479088

ea9da No.1637

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>>1636
still learning about this stuff. did you follow any specific guides?



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