DEV Community: Mohan Iyer

Title: The 44% Problem: What Google Search Console Taught Me About AI Consensus Content Canonical URL: https://seekrates-ai.com/google-indexing-half-your-content-the-44-problem/ Tags: seo, wordpress, webdev, ai Note: Cross-post from seekrates-ai.com. Set

Mohan Iyer — Thu, 05 Mar 2026 23:37:15 +0000

Google Indexing Issues Explained The 44% Problem

Discover how Google indexes content and what the 44% problem means for your website's visibility. Explore solutions with Seekrates AI.

seekrates-ai.com

When 5 AI models split 50/50 on a question, that's not a failure of the platform — it's the most honest answer possible. Our 201-post consensus index at seekrates-ai.com shows that sub-70% consensus questions fall into two categories: genuinely contested (

Mohan Iyer — Thu, 05 Mar 2026 05:32:45 +0000

GEO vs Traditional SEO: What Changes When AI Answers the Question

Mohan Iyer — Sun, 15 Feb 2026 02:10:30 +0000

This article was originally published on Seekrates AI. For the methodology behind how we create AI-validated content, see The Re-Anchor Manager.

How AI Language Models Decide Which Sources to Cite

Mohan Iyer — Sun, 15 Feb 2026 02:08:34 +0000

This article was originally published on Seekrates AI. For the methodology behind how we create AI-validated content, see The Re-Anchor Manager.

llms.txt: The File Your Website Probably Doesn't Have

Mohan Iyer — Tue, 03 Feb 2026 00:26:35 +0000

You have a robots.txt. You probably have a sitemap.xml. But do you have an llms.txt?
What is llms.txt?
The llms.txt specification provides a machine-readable summary of your website for large language models. It's not about blocking crawlers — it's about helping AI understand your content.
Basic Structure
markdown# Your Site Name

One-line description of what you do

Main Resources

Page Title: Brief description
Another Page: Brief description

Topics You Cover

Topic 1
Topic 2
Topic 3 Real Example Here's mine: markdown# Seekrates AI

AI consensus platform that queries multiple AI models and synthesises where they agree

Main Resources

About: Company background and methodology
Blog: AI-era SEO and content strategy
Playbook: AI-Era SEO implementation guide

Topics We Cover

Generative Engine Optimisation (GEO)
Large Language Model Optimisation (LLMO)
Answer Engine Optimisation (AEO)
Multi-model AI consensus methodology Implementation

Create llms.txt in your root directory (same level as robots.txt)
Add your site description and key pages
Keep it under 500 lines
Optional: Create llms-full.txt for detailed documentation

Why Bother?
When someone asks Claude or ChatGPT about your domain, the AI draws from training data and accessible web content. A clear llms.txt is a structured signal about what you do.
Not magic. But a signal most competitors don't have.
Took me 15 minutes to create. Highest signal-to-effort ratio I've found for AI-era SEO.

Full implementation guide with schema markup and Rank Math settings: AI-Era SEO Playbook

GEO, LLMO, AEO: The AI-Era SEO Acronyms You Need to Know

Mohan Iyer — Sat, 31 Jan 2026 06:09:05 +0000

Traditional SEO optimizes for Google crawlers. AI-Era SEO optimizes for machine comprehension. Here’s the difference.

Traditional SEO is dying. Not slowly — now.

40% of B2B buyers now research primarily through AI assistants. Your website might rank #3 on Google, but it’s completely invisible to ChatGPT, Claude, and Perplexity.
Over the past month, I ran an experiment: publishing 139 blog posts in 48 hours, all scoring 80+ on Rank Math’s SEO analyzer. The methodology wasn’t asking one AI to write content. It was asking 5 different AI models the same questions and finding where they agreed.

What I learned: AI-Era SEO rests on three pillars. If these acronyms mean nothing to you, your SEO strategy is already outdated.

GEO: Generative Engine Optimization
GEO is about getting AI search engines to cite your content.

Not just rank you. Cite you.

When someone asks ChatGPT or Perplexity a question, does it quote your site? That’s the new SEO game.

Traditional SEO vs GEO:

TraditionalGEOOptimize for Google crawlersOptimize for AI understandingKeywords in meta tagsSemantic clarity in contentBuild backlinksBuild citation-worthiness

GEO Best Practices for 2026:

FAQ schema on every page
Clear, factual statements (not fluff)
Cite sources AI can verify
Structure for comprehension, not crawling
Answer questions directly
The shift is fundamental. Google rewards pages that match search intent. AI assistants reward content they can trust and cite.

LLMO: Large Language Model Optimization
If GEO is about AI search engines, LLMO is about AI assistants themselves — ChatGPT, Claude, Gemini when they’re answering questions directly.

The goal: Make your content trustworthy enough that LLMs cite it in their responses.

This isn’t about gaming systems. It’s about being genuinely citation-worthy:

Factual accuracy — LLMs cross-reference multiple sources
Clear attribution — They want to cite their sources
Semantic structure — They need to understand, not just parse
Verifiable claims — They’re getting better at fact-checking
The interesting part: What makes content good for LLM citation also makes it good for human readers. Win-win optimization.

The llms.txt file:

You have robots.txt for Google. You need llms.txt for AI assistants.

It’s a simple text file at your domain root that tells AI crawlers:

What to index
How to cite you
What your site is about
Boundaries for AI use of your content
Ten minutes to implement. Significant visibility gains.

AEO: Answer Engine Optimization
AEO predates the current AI wave — it’s about winning featured snippets and now AI Overviews in Google search results.

When Google shows a direct answer at the top of search results, that’s AEO territory. Now, with AI Overviews rolling out, AEO matters even more.

AEO focuses on:

Direct answers to specific questions
Structured data that search engines can parse
Content formatted for extraction (lists, tables, clear headers)
Position zero optimization
AEO is often the quickest win because it builds on traditional SEO skills while preparing you for AI-Era requirements.

How They Connect
These three aren’t separate strategies. They’re layers:

PillarTargetSchema FocusGEOAI search engines (Perplexity)FAQ schemaLLMOAI assistants (ChatGPT, Claude)Article schemaAEOFeatured snippets + AI OverviewsHowTo schema

Schema markup is the bridge. One investment, three returns.

Prioritization (what 5 AIs agree on):

Start with AEO — quickest wins
Build LLMO — long-term authority
Layer GEO — emerging opportunity
All three overlap. Start anywhere. The key is starting.

The Methodology Behind This
Why should you trust this breakdown?

I built a platform that queries OpenAI, Claude, Gemini, Mistral, and Cohere simultaneously — then synthesizes where they agree and disagree.

Single AI responses hallucinate. But when 5 independent models reach the same conclusion, you’re closer to truth.

We call it “Pentangulate” — consensus from 5 perspectives.

Not AI-generated content. AI-arbitrated truth.

The 139 posts I mentioned? Each one validated by this methodology. Each claim checked against multiple AI perspectives before publishing.

What This Means for You
The question isn’t whether to adapt your SEO strategy. It’s how fast.

2020: “How do I rank on Google?” 2026: “How do I get cited by ChatGPT?”

Different question. Different strategy. Different winners.

Most SEO advice is still fighting the old war. GEO, LLMO, and AEO are the new battlefield.

The good news: The fundamentals still matter. Keywords, backlinks, page speed — they’re still the foundation. AI-Era SEO layers on top. You don’t abandon what works. You evolve it.

Start with schema markup. Add an llms.txt file. Structure your content for comprehension, not just crawling.

The shift is happening whether you’re ready or not.

Mohan Iyer is the founder of Seekrates AI, a platform that synthesizes consensus from multiple AI models. Learn more at seekrates-ai.com.
Originally published on Medium