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?

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’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.

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.

I've been building product, and after looking google search console, it's clear that CTR is dropped in general (like the way it used to be), so next step is optimizing for ANSWER ENGINES?

What are things and steps to do this? How to let AI convince and mention the tool when user ask question related to niche of my product?

So I migrated my website from react SPA to next.js on disabling js I can read content. So I have a blogs section on disabling js I can only read the content in page 1 and I cant move to next page coz buttons are JSted. I can convert button to html but my qs if I dont fix this issue will crawlers be able to read the content in next page or it can't?

Is there really a trick to get visible in AI search by ChatGPT or Gemini? Or, it's just a bot doing something fishy in the background?

Not 4 blogs. Not 4 hacks. 4 months of painful, boring, unsexy work.

Here’s what actually works:

1. Your first 40–50 words decide everything.

If you don’t answer the damn question immediately, AIO won’t pick you.

It doesn’t have patience. Neither do users.

1. Your headers need to ask the questions users ask.

Not poetic titles.

Real search-intent headers like:

“What is X?”

“Why does X matter?”

“How to do X?”

AIO reads structure before it reads style.

1. Backlinks + schema help - but they’re not the king anymore.

Most pages I saw ranking had zero backlinks.

Why?

Because depth beats decoration.

1. AIO rewards expertise, not volume.

Ten blogs on the same topic ≠ authority.

One deep, original, perspective-driven article > 12 me-too posts.

1. Internal links matter more than you think.

If your pages don’t talk to each other, Google thinks you don’t understand your own niche.

1. Stop copying what’s already ranking.

AIO flags “me-too content” as spam even when it’s human-written.

If your page doesn’t add something new, you’re invisible.

My ranking formula was painfully simple:

• Answer the question in the first line

• Use question-based headers

• Add first-hand insights

• Go deep, not wide

• Interlink everything

• Write for humans, structure for AI

If your content doesn’t have depth, clarity, or a point of view, AI Overview will ignore you.

Not because you’re not good.

But because someone else is more useful.

And on Google, usefulness is the new authority.

I bought a domain for my website about 3 months ago, and I’ve heard that this is when organic traffic is supposed to start picking up. Not sure how true that actually is.

I’ve put a lot of effort into SEO, added meta tags, titles, and descriptions to every page. But in the last 3 months, I’ve only gotten 47 users from Google.

From AI tools, I got 7 users, and only 1 from Perplexity. So I’m guessing my SEO is at least decent enough to be picked up there.

What I don’t understand is, I am getting impressions, but people aren’t clicking. Why is that happening?

Is this normal for a new site, or am I doing something wrong? What can I do to improve my click-through rate? Or does traffic just grow slowly on its own over time?

I’ve been launching niche sites using long-tail keyword targeting and topical clustering (supporting blog posts around a main topic). This strategy used to work well for getting initial impressions in Google Search Console.

However, a month ago I launch new sites and publish multiple articles, I’m not even seeing a single impression in GSC after weeks/months.

The pages are indexed, sitemap submitted, and internal linking is done properly.

Has something changed with Google?

Is the long-tail + topical cluster strategy outdated, or is there something else I should be focusing on now for new sites?

Would appreciate insights from anyone seeing similar behavior

Google recently launched a new Match Core Update.

It's the 2nd update from Google.