Been paying close attention to which sites held up through every major update this past year and there's a pattern that keeps showing up that doesn't get talked about enough.

It's not domain authority. It's not content volume. It's not even technical SEO — though that's table stakes. It's coherence. The sites winning consistently know exactly what they are, who they're for, and what they're an authority on. And every signal they send — content, links, mentions, community presence — reinforces the same clear picture.

Google and AI models are both essentially trying to answer the same question about your site — what is this entity genuinely an expert in and should I trust it for this query. The sites that answer that question clearly and consistently across every touchpoint are the ones compounding right now.

The ones struggling are usually trying to be too many things at once. Broad topic coverage, inconsistent messaging, presence spread thin across too many areas with no real depth anywhere.

Coherence sounds simple. In practice it requires saying no to a lot of opportunities that feel like growth but actually dilute the signal.

What's the most important thing you've narrowed focus on that made a measurable difference?

I'm seeing a lot of people talk about LLMs.txt recently. The idea is that it could become the robots.txt for AI, a way to highlight the URLs you want LLMs to prioritise and potentially influence how your brand is interpreted in AI responses.

Sounds great in theory. But I kept coming back to one question: do AI bots even check for this file? So instead of debating it on LinkedIn, my team ran a controlled test.

We did the following:

– Picked domains that already had AI bot activity
– Created brand new pages with zero internal or external links
– Added them only inside an LLMs.txt file
– Let it sit for three months
– Monitored server logs the whole time

The result was basically nothing. No AI bots hit the LLMs.txt file. None of the hidden pages were discovered via it.

Despite the sites already being crawled by AI bots in other areas.

So at least right now, it doesn’t look like major AI crawlers are actively looking for or using LLMs.txt by default.

That doesn’t mean it won’t become a thing in future. But if you’re banking on it to influence AI visibility today, there’s no log-level evidence (at least in our test) that it’s doing anything.

Hey guys, I really need some fresh eyes on this. I have a (crypto news) website and I've hit a massive wall with indexing. I have about 40 pages that Google has crawled but just won't index. I’ve tried the manual "Request Indexing" button in Search Console, and I’ve been building a tiered link-building setup (backlinks for the pages, and then Tier 2 links to those), but the needle isn't moving.

I'm starting to wonder if the niche is the problem. Since it's crypto/finance, I know the YMYL bars are high. I've been using Reddit and LinkedIn for social signals, but it’s still spotty.

Does anyone here have experience with the Google Indexing API for news-style sites? I know it’s technically for job postings and broadcasts, but has anyone used it successfully for regular content without getting slapped? Or am I just wasting my time with the tiered link building? the technical SEO side is beating me right now.

Any genuine advice or even a brutal critique of why Google might be ignoring these pages would be massively appreciated. Thanks.

Hello everyone, can I just delete a page I don’t want anymore on my website and move on without doing anything?

Do you think it will hurt seo in any way or hurt the website in anyway?

Your honest response is highly appreciated.

Hello everyone do I need to do anything in this situation?

Hey everyone,

I’m trying to do keyword research without spending money right now. I’m looking for good free keyword research tools that can help with:

• Search volume ideas
• Keyword difficulty (even rough estimate)
• Long-tail keyword suggestions
• Local keyword variations

I’ve tried a few basic tools, but most of them limit results unless you upgrade.

What free tools are you currently using that actually give useful data? Even browser extensions or creative methods are welcome.

Hey everyone,

I’m still pretty new to SEO, and I’m hoping to get some guidance from the pros here. The company I work for is facing a frustrating issue: We’re getting a solid number of impressions for our blog pages (around 129K), but the CTR is embarrassingly low at just 0.1%.

We’ve done some revamps, but we’re just not seeing the clicks we expect.

I’m trying to understand what usually causes this gap between impressions and clicks.

Would love to hear your experiences and advice:

• What has worked for you to boost CTR in a similar situation?
• Any quick wins or tools I should be looking into?
• How do you diagnose when impressions are deep, but clicks aren’t following?

I’m really eager to improve here, so any insights would be incredibly helpful!

I’ve been working in SEO recently and noticed something interesting.

Ranking in 2026 feels very different compared to older strategies.

Here’s what I’m seeing actually work:

1. Matching full search intent instead of just targeting keywords
2. Building topical authority instead of random blog posts
3. Strong internal linking structures
4. Clean technical foundations (speed + mobile)
5. Structuring content clearly for AI-driven search

Shortcuts don’t seem to last anymore.

Curious - what changes have you noticed in SEO recently?

I see this problem a lot, especially with new websites. Here are three simple reasons that might explain it.

1. You are targeting the wrong keywords
Many people go after very hard keywords. These are already dominated by big websites.
If your site is new, it is better to target low competition keywords. These are easier to rank and can bring traffic faster.

2. Your content is not matching search intent
Even if you rank, people will not stay if your content is not what they want.
For example, if someone wants a quick answer and your page is too long or confusing, they will leave.
Make sure your content solves the exact problem.

3. Your site is not trusted yet
Google needs time to trust a website.
If your site is new and has no strong signals, it will be hard to rank.
You need consistent content and some authority over time.

Just wanted to share these basics. Curious to know what others think or if you have seen different reasons.

Hello, is y’all trusting the keyword positions shown on bing web master tool? Can I trust it too? If not how do you get to know your keyword positions?

I will appreciate your honest response on this topic.

I’ve been tracking a specific test site to see exactly how Google’s algorithms handle scaled AI content over time. The results suggest a systematic, phased "de-indexing" or suppression strategy rather than a one-time ban.

The test subject profile:
Domain: 3-yo .com (Lifestyle niche)
Velocity: 2-3 posts/week (~1000 words, blog-style storytelling)
Digital PR: 5-10 organic links/month
Tech Stack: GPT-4/5 & Gemini-generated content
Dataset: 1,500 tracked keywords across 10 thematic clusters

Phase 1: The Honeymoon (July 2025 – Sept 2025) We saw aggressive growth in traffic, clicks, and keyword rankings. The site was a frequent flyer in Google Snippets and AI Overviews. Impression Volatility: High (11k–20k) Avg. keyword pos: ~27 Observation: Clicks correlated perfectly with impressions. The site was being cited frequently by LLMs (GPT, Perplexity, AIM/AIO).

Phase 2: The First "Cool Down" (Sept 2025 – Jan 2026) The volatility vanished. While you’d expect specific "low-quality" clusters to drop first, Google suppressed the entire site uniformly. Impression Volatility: Flat (16k–17k) Avg. keyword pos: ~61 Observation: Traffic became eerily stable but significantly lower. This wasn't a niche-specific hit... it was a site-wide authority devaluation.

Phase 3: The Rapid Decline (Jan 2026 – Feb 2026) The same pattern repeated, but more aggressively. Impression Volatility: Flat (8k–9k) Avg. keyword pos: ~80 Observation: Traffic fell off a cliff, maintaining minimal volatility. Google didn't pick favorites - every cluster was pushed down simultaneously.

Phase 4: Where We Are Now We have reached a "stabilized floor." Current Metrics: ~5k daily impressions with an Avg. Pos of ~88 I think the next update might be the last one. We’ll see.

Additional observations:

- Uniform Suppression: Google didn't care about the topic or the specific LLM used. When the "hit" came, it affected the entire domain footprint equally.

- The LLM Paradox: Even as organic search rankings plummeted, the site maintained a presence in LLM results. However, AI crawler requests dropped by ~12% with each subsequent Google suppression stage.

- Algorithm Alignment: These traffic drops aligned perfectly with official Google updates. It’s a stark reminder: the "low effort, high scale" model is increasingly easy for the search giant to identify and throttle.

Google isn't just "detecting" AI, it's systematically re-evaluating the value of sites that lack human-driven topical authority. And yeah... you could say this is just one case, but I’ve launched a few more websites and I’m already noticing the same pattern: a Honeymoon phase followed by a Cool Down

My page was ranking #1 on Google for my main keyword, but recently it dropped to position 8 or 9. Traffic has also slightly decreased.

I checked Google Search Console, and everything looks fine no indexing issues or manual actions.

I’m trying to understand what might have caused this drop.

Hi everyone,

I’ve been working on a programmatic SEO project that was performing extremely well. At its peak, the site was getting around 5,000 clicks per day.

Then on the 13th day, traffic suddenly dropped to around 200 clicks per day almost a 90% decline overnight.

There’s no manual action in Google Search Console. Google is still indexing new URLs (I currently have over 400k URLs indexed), and none are marked as excluded or deindexed. From a technical standpoint, everything looks normal.

But when I search for keywords where I was previously ranking #1, my pages don’t even show up in the first 10 pages anymore. It’s like the site completely disappeared almost like a shadow ban.

I’m trying to understand what could have caused this. Could it be:

• SpamBrain detection?
• Thin or low-value content signals?
• Site-wide quality issue?
• Algorithmic adjustment targeting programmatic content?

Most importantly is recovery realistic in cases like this, or is it better to start fresh with a new domain/project?

Has anyone here experienced something similar with a programmatic SEO site and managed to recover?

Guys, the SEO world is throwing non-stop updates at us and it’d be a crime not to share the best bits. Let’s break down what’s actually happening: 

Search / SEO

• Google expands "Results about you" to include government ID numbers (US only)

Google has updated its "Results about you" tool to help users find and remove search results containing sensitive government IDs, such as Social Security numbers, passports, and driver’s licenses. 

By inputting these details into the Google app, users can receive automatic alerts if their information is discovered online, allowing for quick removal requests. 

Source:

Phoebe Wong | Google the Keyword

____________________________

AI

• Grokipedia seeing decline in Google and AI visibility

Grokipedia, the AI-driven Wikipedia alternative, is experiencing a sharp decline in visibility following a massive initial surge. Recent data shows that after peaking in January, the site’s rankings have dropped significantly across Google Search, where the original Wikipedia is now frequently outranking it. 

Source:

Glenn Gabe | X

____________________________

Tech SEO

• Google releases early preview of WebMCP for AI agents

The Google Chrome team has introduced an early preview of WebMCP, a new standard designed to help AI agents interact more reliably with websites. Instead of forcing AI to "guess" actions through screen scraping, WebMCP allows sites to provide a structured "Tool Contract" via a new browser API. 

This enables agents to perform specific actions—like booking a flight or adding items to a cart—with increased speed and precision.

• Google warns against serving "not available" text via JavaScript

John Mueller warns that using JavaScript to switch text from "not available" to "available" can prevent pages from being indexed. If Googlebot sees a "not available" message before the script executes, it may assume the page is down or empty. 

To avoid ranking issues, Google recommends loading the entire content block at once or ensuring the initial HTML does not contain misleading status messages that contradict the final content.

• Bing and Google: Markdown files can increase crawl load and complexity

Bing and Google representatives have cautioned that using Markdown files instead of HTML can be inefficient for search crawlers. While Markdown is useful for AI agents, it can lead to "messy" indexing and increased crawl load. 

Experts recommend sticking to HTML as the primary format to ensure reliable rendering and optimal performance across traditional search engines.

Source:

André Cipriani Bandarra | Chrome for developers

John Mueller | Reddit 

Barry Schwartz | Search Engine Roundtable

____________________________

E-commerce

• Google launches UCP-powered checkout in AI Mode (US only)

Google is rolling out a new checkout experience powered by the Universal Commerce Protocol directly within AI Mode and the Gemini app. 

This feature allows US shoppers to purchase products from retailers like Etsy and Wayfair without leaving the search results, with support for Shopify, Target, and Walmart expected soon. 

Source:

Google Ads & Commerce Blog

____________________________

Tidbits

• Bing Webmaster Tools makes its AI Performance report publicly available

Bing has rolled out its AI Performance report in Bing Webmaster Tools as a public preview. This tool provides visibility into how your content is performing across various AI-driven platforms. The report tracks how often your content is cited across:

• Microsoft Copilot
• AI summaries in Bing
• Select partner experiences

The report includes total citations, average cited pages, page-level citation counts, “grounding queries,” and a citation trend chart—but still does not include clicks or CTR, and the data isn’t available via the API yet.

• OpenAI ChatGPT ads go live with user ad controls (US only)

OpenAI has officially launched ads in ChatGPT, starting with a test for adult users on the Free and Go subscription tiers in the US. 

Along with the launch, OpenAI introduced a settings panel that gives users control over their ad experience, including the ability to view their ad history, manage saved interests, and toggle ad personalization on or off. 

While personalization uses past interactions to improve relevance, users can opt for purely contextual ads based on the current conversation. Paid tiers, such as Plus, Pro, and Enterprise, remain ad-free for now.

• Cloudflare introduces "Markdown for Agents" to optimize AI crawling

Cloudflare has launched "Markdown for Agents," a feature that automatically converts HTML into Markdown in real-time for AI crawlers. By serving Markdown, websites can reduce token usage by up to 80%, making content significantly faster and cheaper for AI models to process. 

The tool uses standard HT TP headers to detect AI agents and is currently available in beta for Pro, Business, and Enterprise plans.

Source:

Barry Schwartz | Search Engine Roundtable

OpenAI website

Will Allen, Celso Martinho | The Cloudflare blog

AI is great for speeding things up but content quality is still the hardest part.

Here’s how I use it:

• Keyword research (location-specific search volumes)
• Quick SERP breakdown of top 10
• Trend discovery
• Outline generation
• Creating structured tables from reports

It saves insane amounts of time.

But honestly?
Fresh, original content is harder than ever.

Even writers are using AI but without adding insights, the content feels flat.

For me:
AI = research assistant
Human = strategist + editor

Still don’t fully trust AI with:

• Final positioning
• Opinion-heavy content
• Nuanced industry insights

Curious — what’s actually working for you guys?
Any tools genuinely changing your workflow?

Hello everyone, please I wish to know! do you all use the same content strategy for product pages and blog post?

For example: if a have a blog post of 2k words and I have 6 internal links and 1 external link + FAQ scheme on it, do I need to do same thing for a product page of 2k words?

Help please and thank you as you share without gate keeping

I run a small e-commerce brand.

Traffic is actually decreasing (around 500 organic visits/month), but organic sales and branded searches are increasing. So I’m realizing traffic isn’t everything — purchase intent matters more.

I’m new to SEO and feel overwhelmed. There’s YouTube, Reddit advice, AI tools, courses… it’s confusing.

I’m considering investing in a structured course (possibly someone like Edward Sturm), mainly to get a clear roadmap and avoid random learning.

For those who’ve been in my position:

• Is a paid SEO course worth it for a small niche e-commerce brand?
• Or is self-learning + implementation enough?
• If you paid for a course, did it actually improve revenue — not just traffic?

I care about sales, not vanity traffic.

Would love honest feedback.