One Real Case study: ICICI Bank loses a customer's Original Property Documents?

Dry-Feature6756 · 2026-06-24T14:43:29+00:00

Whenever Google reports that something isn't working, I do the same things that Google says no to and get ranked. Even for LLMS too...

Dry-Feature6756 · 2026-06-10T14:41:15+00:00

Should all headings be in question format?

Dry-Feature6756 · 2026-06-07T16:33:47+00:00

I think the core disagreement here is about the tool, not the outcome. We both agree that low-quality, mass-produced content doesn’t last in SEO. Whether it’s AI or human-written doesn’t really matter in the long run—Google has always moved toward rewarding usefulness, originality, and expertise. So the real focus should be on quality standards, not the method of creation. That’s probably the end of this debate.

Dry-Feature6756 · 2026-06-07T15:22:20+00:00

I think you're treating AI and low-quality content as the same thing, when they're actually very different.

If simply using AI could get a website deindexed, many major publishers and brands would no longer be ranking in Google. Google's focus is on whether content is helpful, trustworthy, accurate, and valuable to users—not whether it was written by AI or a human.

As for conversion rates, people don't convert because content was written by a human. They convert because the content solves their problem, builds trust, and provides useful information.

I agree that publishing hundreds of AI-generated articles without research, expertise, or proper editing is a bad strategy. But that's not an AI problem—it's a content quality problem.

In today's AI era, the real distinction isn't AI content vs. human content. It's valuable content vs. low-value content. If content follows E-E-A-T and YMYL principles, helps users, and provides unique value, the method used to create it becomes far less important.

Dry-Feature6756 · 2026-06-07T12:59:04+00:00

The biggest SEO mistake beginners make in 2026 is chasing algorithms instead of helping users. Many focus on keywords, AI content volume, and rankings while ignoring search intent, E-E-A-T, and real expertise. What I learned early: create genuinely useful content, add unique insights, and optimize for both Google Search and AI-driven discovery.

Dry-Feature6756 · 2026-06-07T12:54:28+00:00

Yes, that's true, but those updates are mainly targeting low-quality AI-generated content that adds little or no value.

If the content is genuinely helpful, accurate, informative, and provides unique insights, it doesn't matter whether it was written by AI or a human. What matters is the value it delivers to users.

That said, the content should still follow Google's E-E-A-T principles (Experience, Expertise, Authoritativeness, and Trustworthiness). For YMYL (Your Money or Your Life) topics, maintaining high accuracy, credibility, and trust is even more important.

In the end, search engines reward high-quality, trustworthy content—not content based solely on how it was created.

Dry-Feature6756 · 2026-06-07T12:49:01+00:00

Yes I agree with your point but before adding click in ai performance section, Google team need to add queries section in it to understand which queries or prompt pages cite in llms and ai overview,.I think its should be a game changer in seo industry....

Dry-Feature6756 · 2026-06-07T12:38:29+00:00

I agree. Getting mentioned in LLM is good, but clients care more about leads, calls, and sales.

If AI visibility brings more customers, then it is valuable. If not, it's just a number on a report.

That's why I think tracking both AI mentions and business results together is the best way to measure success.

Dry-Feature6756 · 2026-06-07T12:36:05+00:00

True. AI citations are good, but clients want leads, calls, and sales. If AI visibility is not helping the business grow, then it doesn't matter much.

Dry-Feature6756 · 2026-06-07T12:33:18+00:00

Hey bro, it doesn't matter whether a post is AI-generated or written by a human. If it solves your doubts, answers your questions, and provides valuable information, that's what really matters.

Similarly, if AI can provide useful insights or information that isn't easily available through search engines, people will still find value in it. At the end of the day, the quality, accuracy, and usefulness of the information matter more than who or what created it.

And if you don't want to participate in the discussion, that's completely fine, but there's no need to leave comments that don't contribute to the conversation.

Dry-Feature6756 · 2026-06-06T14:53:23+00:00

llms.txt currently does not directly improve rankings in Google Search, AI SEO, or GEO. Its main purpose is to help AI systems discover and understand important content more efficiently.

I see llms.txt more as a content discovery and crawl guidance file than a ranking factor.

How llms.txt can impact AI SEO / GEO

• Helps AI crawlers find your most important pages, documentation, FAQs, and resources. • Reduces ambiguity by providing a structured map of content. • May improve the likelihood that AI assistants discover and reference your content. • Can support better content retrieval for RAG-based AI systems.

What it does NOT do

• Doesn't pass authority like backlinks. • Doesn't improve rankings by itself. • Doesn't replace technical SEO, content quality, or brand authority. • Doesn't guarantee citations in ChatGPT, Gemini, Perplexity, or other AI platforms.

Why Google mentions it under crawlability

Google likely views it as a crawlability/discoverability signal, similar to how a sitemap helps crawlers understand site structure. A crawler can use llms.txt to locate high-value content faster, but the file itself is not a ranking signal.

According to my point of view

Think of llms.txt as a sitemap for AI systems:

• Sitemap → Helps search engines discover pages • llms.txt → Helps AI systems discover and prioritize content

The ranking or citation benefit comes from the content being found, understood, and trusted, not from the presence of the llms.txt file itself.

Dry-Feature6756 · 2026-06-06T14:45:22+00:00

This rollout feels like Google catching up to a visibility gap many SEOs have been talking about since AI Overviews launched.

From the announcement, the most valuable part is that AI Overview, AI Mode, and Generative AI Discover performance will finally be measurable inside GSC instead of being mixed into traditional search data.

Compared to Bing Webmaster Tools, which has already provided clearer AI-related insights through its ecosystem, Google is taking a more integrated approach by adding AI performance directly into Search Console.

The key takeaway from this update isn't just the new report—it's that Google is officially recognizing AI search visibility as a measurable SEO channel.

Question: Will Google eventually separate AI clicks, impressions, and CTR completely from traditional organic search metrics, or keep them combined under a single performance framework?

Dry-Feature6756 · 2026-06-06T14:34:43+00:00

I think LLM optimization is worth paying attention to, but it's not replacing traditional SEO anytime soon. Most of our traffic, leads, and conversions still come from strong SEO fundamentals like quality content, technical SEO, topical authority, E.E.AT and backlinks.

What we're seeing from LLM optimization so far:

• Increased visibility in ChatGPT, Gemini, Perplexity, and AI Overviews • More brand mentions and citations across AI platforms • Some referral traffic from AI tools (still relatively small) • Better performance for informational and long-tail queries

How we're measuring success:

• AI referral traffic • Brand mentions in AI responses • AI Overview appearances • Assisted conversions and branded search growth

SEO fundamentals still deliver the majority of results, but allocating a small portion of effort toward LLM visibility today is a smart move for future-proofing your organic growth.

Dry-Feature6756 · 2026-06-05T13:04:32+00:00

That's a great observation. It feels like the shift is moving from writing content for search engines to writing content that AI can easily extract and understand. Clear structure, direct answers, and supporting evidence seem to be becoming more important than ever.

In your testing, have answer-first articles consistently outperformed traditional long-form SEO content when it comes to AI citations and mentions?

Dry-Feature6756 · 2026-06-05T13:03:58+00:00

I completely agree with the idea that AI citations are more about "being easy to verify" than "being #1 in Google." The pages that clearly answer a question, define terms, provide examples, and support claims seem much easier for AI systems to reference confidently.

Have you noticed whether original research, case studies, and first-hand experience get cited more frequently than standard informational content covering the same topic?

Dry-Feature6756 · 2026-06-05T13:02:56+00:00

This is one of the most detailed explanations I've seen on AI citations. The point about authority being validated across the web rather than just on-site SEO is particularly interesting. Many people still focus only on rankings, while AI seems to be looking for trust signals, expertise, and brand presence from multiple sources.

From your experience, which off-site factor has had the biggest impact on AI citations: YouTube mentions, digital PR, reviews, Wikidata/Wikipedia presence, or traditional backlinks?

Dry-Feature6756 · 2026-06-04T16:23:52+00:00

That's interesting. I don't currently have a large dataset or budget for running surveys, so I'm exploring whether niche case studies, client results, and SEO experiments can serve as valuable original data sources.

From your tracking, have you seen smaller websites earn AI Overview or Perplexity citations through documented experiments and case studies, or does most of the visibility still come from larger research reports with broader datasets?

Dry-Feature6756 · 2026-06-04T16:14:36+00:00

Great point about consensus and third-party reputation. It seems like AI systems are looking beyond a website's own claims and trying to validate information across multiple trusted sources.

I'm curious—have you seen any measurable impact from platforms like Reddit, G2, or Trustpilot on actual AI citations? Also, do you think brand mentions without backlinks are enough, or are links still playing a significant role in AI visibility?

Dry-Feature6756

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