We’re on Shopify with a pretty big product inventory, and a lot of the usual SEO advice just doesn’t seem very useful anymore. Product pages are manageable, but category/collection pages have been much harder to scale properly.

Things like:

• faceted navigation
• duplicate filtered URLs
• crawl waste
• collection-page indexing
• internal linking across thousands of products

have become way bigger issues for us than content production itself.

Feels like most SEO discussions online are still centered around blogs/content sites, while large ecommerce stores run into a very different set of technical challenges.

Some niches seem to be getting hit hard by AI Overviews pushing down organic results. Others seem unaffected or even growing.

If you've seen a change — good or bad — would love to know:
- Which niche / industry?
- Rough % traffic change since AI Overviews expanded?
- Did you change your content strategy in response?
- Are you now appearing IN the AI Overview or being pushed below it?

Any GSC screenshots or data welcome. Trying to build a picture of which sectors are most affected.

I keep seeing conflicting takes some say AI search is cannibalizing organic traffic, others say Google still drives 80%+ of their visits.

Before I run my own comparison, curious if anyone here has actually checked how their site shows up across ChatGPT, Perplexity, Google AI Overviews vs traditional SERPs?

Specifically curious about:
- Did your traffic drop after AI Overviews expanded?
- Does your site get cited in ChatGPT / Perplexity for your main keywords?
- What niche are you in? (seems to matter a lot)

Drop your real numbers if you have them. Looking for actual experience, not theory.

Mini project: I wanted to see how often AI assistants actually mention my site vs competitors when people ask buying questions. Threw together a small tool that checks your URL against ChatGPT, Perplexity, Gemini, Claude etc and shows how visible you are. I’m using it to find ‘invisible’ pages to fix first, happy to share a link if anyone wants to test their own domain.

I’m seeing more people search through AI tools now, so I’m curious whether these engines can be influenced and will this will actually help with leads and visibility?

We are getting a massive influx of leads saying some AI anwers recommended us, so we need to buy a tracking tool to monitor our AI visibility probably enhance it.

But with non-deterministic models, how do you verify if these platforms actually deliver accurate share-of-voice data, I'm trying ti see if there are some parameters I should look for before choosing one.

Recently I noticed something interesting while testing AI search platforms.

When I search for my brand “Pavan Goli Digital Marketing Services,” Perplexity and Gemini are already showing my content and recognizing my online presence.

But ChatGPT and Claude still barely mention it.

That made me realize something important:

AI SEO is completely different from traditional Google SEO.

It’s not only about ranking websites anymore.
Now it’s more about:

• Brand authority
• Mentions across the internet
• Structured content
• Consistent branding
• Entity recognition
• Website trust signals

I started understanding that AI tools learn from:

• Blogs
• LinkedIn
• YouTube
• Business listings
• Social profiles
• Mentions on multiple websites

So now I’m focusing more on:

• Building strong personal branding
• Writing useful content
• Creating AI-friendly blogs
• Adding schema markup
• Keeping consistent business information everywhere

I think in the next few years, “AI Visibility” will become as important as Google rankings.

Anyone else experimenting with AI search optimization / AEO recently?
Would love to know what’s working for others.

I’ve noticed that for a lot of searches now, I automatically add “reddit” at the end because normal search results increasingly feel like AI-generated SEO contests instead of actual human opinions. Whether it’s product reviews, SEO advice, hosting recommendations, or web design tools, Reddit threads usually end up being more useful than polished blog posts trying to rank for affiliate keywords.

What’s funny is websites spent years trying to sound more “professional,” and users responded by trusting anonymous Redditors with usernames like “keyboardwarrior428” more than brands with million-dollar content strategies. Most blog content now feels overly optimized, overly sanitized, and weirdly repetitive, while Reddit still sounds like people having actual experiences.

And honestly, Google seems to know this too. Reddit threads are ranking everywhere now because people are clearly searching for real opinions instead of another “Top 10 Best Tools in 2026” article written by someone who tested the product for 11 minutes. Anybody else adding “reddit” to searches way more than before?

I’m part of the team at an AEO platform. We posted some analytics here before, but most of it was about technical bot behavior patterns across our client base.

This time, we asked our AI agent to analyze anonymized data across our clients and look specifically at what kinds of pages actually get human traffic and conversions from AI search.

There is a pattern.

When tested at scale, human visitors from AI search usually don’t land on homepages, pricing pages, or generic product pages.

They land on pages that directly answer something - this part is probably sounds trivial so here are some concrete examples.

Top 4 patterns that worked in temrs of landing human visitors from AI:

A. Listicle with audience + geography qualifier

Example: /blog/best-[category]-for-[audience]-in-[region]

This was one of the strongest informational patterns. The winning pages looked like:

“Best spend management software for small businesses in the US”

Pattern: Best [category] for [audience] in [region]

Why it works: LLMs love comparison answers, and the title matches how people actually ask prompts. Usually the prompt includes the category, the buyer type, and the geography.

B. Tool-named technical how-to

Example: /blog/automating-[workflow]-with-[named-tool]

These did surprisingly well with technical audiences.

Pattern: [verb] [outcome] with [named tool]

The best pages named a specific product, library, or workflow. Not a broad thinkpiece. More like:

“Automating GitHub issue creation with Claude Code”

Lesson: blog titles that name a specific tool often perform better than generic concept posts because LLMs treat them almost like documentation.

C. Template / utility pages

Example: /templates/[artifact]

This was the most underrated category.

Template pages worked both as informational answers and as useful tools. They also converted much better than regular editorial pages because the intent was already clear.

Examples:

• /templates/invoice
• /templates/estimate
• /templates/crm

If the audience would download a checklist, calculator, template, or worksheet, it should probably have its own indexable page.

D. Narrow-vertical how-to

Example: /how-[specific-audience]-can-[specific-action]

These are cheap to write and surprisingly durable.

Examples:

• how attorneys can use YouTube Shorts
• resources for deaf interpreters

The pattern is simple: pick a narrow audience that big publishers ignore and write the specific how-to they need.

What this means for content structure:

Slug patterns that worked:

• best-[category]-for-[audience]-in-[region]
• how-[audience]-can-[action]
• [verb]-[outcome]-with-[named-tool]
• /templates/[artifact]

Slug patterns that did not show up much:

• “The Future of X”
• “Why X Matters”
• generic thought-leadership noun phrases

The first sentence also matters. The best pages usually answer the title immediately instead of opening with context.

Another pattern: one named entity per post. A tool, a vertical, or a region. Posts without a named entity were much weaker.

Our main takeaway: AI visitors land on answers, not positioning.

Adding schema didn’t boost citations on any platform

We tracked 1,885 web pages that added JSON-LD schema between August 2025 and March 2026, matched them against 4,000 control pages, and measured citation changes across Google AI Overviews, AI Mode, and ChatGPT.

Adding schema produced no major uplift in citations on any platform.

AI source	Effect on citations	Verdict
Google AIO	−4.6%	Small but statistically significant decline relative to matched controls; (both groups were declining together, but treated pages fell slightly faster)
Google AI Mode	+2.4%	Statistically indistinguishable from zero
ChatGPT	+2.2%	Statistically indistinguishable from zero

These percentages come from our most reliable analysis (a matched difference-in-differences [DiD] test).

In this test, both AI Mode and ChatGPT treated pages performed slightly better than control pages on average, but the differences are small enough that they could easily be random noise across thousands of URLs.

AI Overviews showed a 4.6% decline, which is small but statistically significant relative to matched control pages.

But that isn’t quite the full story—we’ll get into that in the next section.

So, overall, we can’t tell whether the schema did a tiny bit of good or nothing at all.

There’s a lot of noise in the industry right now around terms like AI SEO, GEO, AEO, ChatGPT SEO, and LLM SEO. Almost every agency is starting to position itself around these labels.

So instead of focusing on who calls themselves the “best AI SEO agency,” we looked at agencies that are consistently recognized for strong overall SEO execution across technical SEO, enterprise SEO, ecommerce SEO, content strategy, authority building, and long-term organic growth.

Top 10 SEO Agencies Currently Getting Mentioned Most

• ResultFirst
• Siege Media
• Omniscient Digital
• First Page Sage
• Onely
• Searchbloom
• Intero Digital
• iPullRank
• Coalition Technologies
• Victorious

The common thing across most of these agencies is that they’re still focused on core SEO fundamentals first, not just rebranding traditional SEO services around the latest AI search trend.

Hey guys,

I run a small ecommerce store and right now we’re selling in around 10-12 cities across the US. We’re planning to grow bigger this year and want to increase our organic sales and reach nationwide.

Started looking for an ecommerce SEO agency, but honestly every agency online claims they’re the best.

Would really appreciate some genuine recommendations from people who actually saw results with an agency. Mainly looking for someone good with ecommerce SEO in the US market.

Would also love to know which agencies to stay away from.

Looking for tools that actually help with the technical side, things like crawling, site audits, structured data and page optimization. Could you share your worflow tools please?

Most people are using Claude wrong for SEO. They open a new chat, ask for SEO blog ideas, get generic answers, and assume AI is overrated.

What changed everything for me was treating Claude like an actual SEO consultant instead of a content generator.

I created a dedicated project, fed it to my clients business context.

Uploaded competitor pages, existing blogs, keyword data, landing pages, and customer FAQs.

Then I trained it to think about:
• search intent
• funnel stages
• conversion potential
• content gaps
• internal linking
• business outcomes

The difference was honestly massive. Instead of random content suggestions, it started helping me:
→ find high-intent keywords
→ build topic clusters
→ improve old content
→ identify ranking gaps
→ create better landing pages
→ think strategically about SEO

This carousel is the exact setup process I now use myself.

If you have any questions, regarding setup, please feel free to ask in the comment section, would love to help!

#SEO #AEO #GEO #Claude #AISEO

[ Removed by Reddit on account of violating the content policy. ]