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I Get Why Everyone's Chasing AI Overviews.

It's obviously changing how people search and in many cases, reducing clicks to traditional organic listings.

Now because click through rates are way less marketers started looking for shortcuts.

Some tried scaling AI-generated pages.

Others doubled down on parasite SEO.

Some built content specifically to attract AI citations rather than help readers.

And there's nothing wrong with that but I know for a fact Google has spent the last two years updating its systems to identify manipulation—not AI itself.

I would just like to know what is the future of marketing or better yet the strategy?

L

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My searches of certain things didnt bring up what it use to but then after a week or 2 the information started to appear again but it had changed. I think i have an explanation for it but id like to hear what other people think.

https://preview.redd.it/lfxez1ybm9ah1.png?width=1623&format=png&auto=webp&s=3402121ceca2a6a1138981dee61675493c571eb4

I came across this GSC data and thought it would make for an interesting discussion.

• 20.3K impressions
• 49 clicks
• 0.2% CTR
• Average position: 25.8

If you were handling this site, what would be the first thing you'd work on?

Would you focus on improving rankings, rewriting titles, refreshing the content, building links, or something else?

I'd love to hear how you'd approach it.

We’ve been reading about how ChatGPT, Gemini, AI Overviews, etc., pick sources, and one thing keeps coming up: they often don’t seem to use the whole page.

Supposedly, if the actual answer is buried halfway down the article, there’s a decent chance it just gets ignored. So the classic “long intro, build context, then get to the point” format might be hurting you for AI visibility.

The weird exception seems to be FAQs. Even if they’re at the bottom, they still get pulled because each question and answer can stand on its own.

So we’re wondering if anyone has gone back and rewritten older posts with this in mind?

Like:

• moving the main answer to the top
• cutting the intro
• adding a TL;DR
• making sections more self-contained
• adding FAQs

If you’ve done this, did you see any difference in AI citations, AI Overview mentions, or traffic?

I've been facing technical SEO issues on my website for the last 3 months and haven't been able to fix them. My main problems are poor FCP, LCP, page speed, rendering issues, and pagination errors.

I've tried different optimizations, but the results are still not improving. I'm not sure what I'm doing wrong or where I should focus my efforts. Has anyone faced similar issues before?

I would appreciate any advice on how to diagnose and fix these problems. What tools, techniques, or steps would you recommend to improve Core Web Vitals and overall technical SEO performance?

Thanks in advance for your help.

For more than two decades, keyword research has been one of the foundations of SEO.

Find the right keyword.

Check search volume.

Analyze keyword difficulty.

Create optimized content.

Rank on Google.

Get traffic.

Simple.

But the rise of AI-powered search tools like ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot is forcing marketers to ask an uncomfortable question:

Are we optimizing for how people searched yesterday rather than how they'll search tomorrow?

I have 19DR and right now my blog ranks in AI search but my product not mentioned there

RIght now we're doing

1. Submitted to 20+ tool directories ( Product Hunt, G2 and other)

2. Backing swaps with relevant sites

3. Reaching out to get included in listicles

4. Tried adding a Wikimedia link - removed in under 20 minutes (lol)

Just want genuine guidance here. Is DR19 reasonable for 2 months? And if i want to enhance more what more we can do here?

AI search has changed how a lot of us think about content.

A few months ago, I was mostly focused on the usual SEO checklist. Now I find myself paying more attention to things like:

• Making answers more direct
• Improving content structure
• Adding clear FAQs
• Updating older articles
• Strengthening topical coverage
• Making content easier for both people and AI to understand

Some of these changes seem to make a difference, while others don't seem to move the needle at all.

I'm curious what people here are actually seeing in practice, not theories, just real observations.

What's one AI SEO change you've made recently that produced a noticeable improvement?

Would be great to hear what's working for everyone.

(via u/SE_Ranking)

Our analysis of 300,000 domains shows that LLMs.txt doesn’t impact how AI systems see or cite your content today. ​​Even so, adding the file is a low-effort way to prepare for the next wave of AI indexing. Today it’s optional; tomorrow, it might be essential.

How does Google treat URLs that appear on platforms such as LinkedIn, YouTube comments, Facebook posts and comments, X (Twitter) posts, Quora, Mastodon communities, Tumblr, Blogspot, Reddit, Pinterest, and similar sites?

Do these links provide any direct or indirect SEO benefits? Are they considered backlinks by Google, and can they help with rankings, crawling, indexing, brand authority, or referral traffic?

I'm particularly interested in real-world experiences and case studies rather than generic SEO advice.