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The term SEO‑optimized has evolved. In 2026, optimization is no longer about ranking; it’s about being chosen by both se...
07/06/2026

The term SEO‑optimized has evolved. In 2026, optimization is no longer about ranking; it’s about being chosen by both search engines and AI systems.

AI SEO & AI Overviews

AI Overviews are now the first touchpoint for discovery. Brands that fail to adapt to AI SEO risk losing visibility where decisions are made.

E‑E‑A‑T, Entity Signals & Topical Authority

Credibility is built through entity signals, topical authority, and content clusters. Together, they form the foundation of trust. Without SEO citations, your expertise remains invisible to algorithms.

Generative Engine Optimization (GEO) & AI Share of Voice

Generative Engine Optimization is the new battleground. It’s not just about appearing; it’s about branded visibility across fragmented search ecosystems. AI share of voice determines whether your brand is referenced or ignored.

Search Fragmentation & TrioSEO

Search fragmentation means audiences encounter your brand across engines, assistants, and generative platforms. Winning requires TrioSEO: balancing content, trust, and authority.

Content, Trust, Authority

The trio is non‑negotiable. Content clusters build relevance, trust signals validate expertise, and authority ensures your brand becomes the default answer.

The Future of SEO‑Optimized Strategy

In 2026, being SEO‑optimized means engineering credibility systems that AI cannot overlook. It’s about building branded visibility that survives search fragmentation and thrives in generative ecosystems.

why need AI search SEO
06/06/2026

why need AI search SEO

Unsolicited hashtag  tip:I keep seeing comments like “I’m shocked how often URLs in the top 1–3 aren’t cited in AI Overv...
03/06/2026

Unsolicited hashtag tip:

I keep seeing comments like “I’m shocked how often URLs in the top 1–3 aren’t cited in AI Overviews.”

Honestly? I’m not surprised, and here’s why

The chart below (from Tomek Rudzki’s early but brilliant work) shows the data challenges we’re up against.

Why are so few top‑ranking sites cited in AIOs?

The short answer: query fanout.

We’re correlating citations with the original search, but AI systems trigger additional searches behind the scenes, pulling in URLs that weren’t part of the first query.

So yes, ranking in traditional search is still critical if you want to appear in AI answers. You just need to understand which searches are actually happening.

Fun fact: ChatGPT’s correlation looked low in this study because the dataset was based on Google, while ChatGPT at the time was fetching mainly from Bing.

Key takeaway: this is where being data‑led (not blindly data‑driven) matters. It helps soften the sharp edges of the “unknown unknowns,” the ones that can really hurt your strategy.

Programmatic SEO & the May 2026 BCAU WinOne of my long‑term programmatic SEO projects just hit a breakthrough with the M...
01/06/2026

Programmatic SEO & the May 2026 BCAU Win

One of my long‑term programmatic SEO projects just hit a breakthrough with the May 2026 BCAU.

Here’s the story:

Around Feb 14–15, 2026, the site experienced a re‑ranking (non‑official update).

By the third week of March, rankings dipped again.

Then came the May BCAU, and the site finally broke through a ranking threshold it had struggled with for months.

This “arch” pattern positive and negative signals before a state change, is a classic example of how Google groups clusters of websites together. When your site is locked into a Ranking State, it can’t exceed or drop below certain thresholds until the state itself changes.

The turning point?
We moved all content into subdomains and added buy + compare functionality. That shift gave the site real utility, not just rankings.

Because here’s the truth:
Google’s Helpful Content system isn’t just about keywords. It’s about brand, purpose, and function. A site should rank because it helps users complete something—not just because it exists.

The May 2026 BCAU proved that once your site crosses the threshold with genuine usefulness, the search engine rewards it.

7 Claude Prompts to Rank on LLMs (Not Just Google)Most SEOs are still stuck optimizing for Google.Smart SEOs are already...
01/06/2026

7 Claude Prompts to Rank on LLMs (Not Just Google)

Most SEOs are still stuck optimizing for Google.
Smart SEOs are already optimizing for Claude, ChatGPT, and Perplexity.

Here are 7 prompts I run weekly to make sure my brand shows up inside AI answers:

1 LLM Visibility Audit

“Act as a B2B buyer searching for [your service]. List the top 10 companies you’d recommend and why. Then explain what content made each one stand out.”

2 Competitor Mention Analysis

“What companies come up most often when users ask about [your category]? Break down what type of content (blogs, listicles, case studies, reviews) makes them the default answer.”

3 Authority Gap Finder

“I run [company name] in the [industry] space. Compare my online presence to [competitor 1] and [competitor 2]. Where am I missing in terms of content, backlinks, and brand mentions?”

‘4 Best Of’ List Targeting

“List the top 20 ‘best of’ articles ranking for [your main keyword]. For each, tell me the publication, the criteria they use, and how a brand could pitch to be included.”

5 Prompt‑to‑Content Mapping

“Generate 25 prompts a [your ICP] would type into ChatGPT when researching [your service]. Then suggest a content piece I should create for each prompt.”

6 Schema & Structure Optimization

“Review this blog post: [paste URL or content]. Suggest schema markup, FAQ sections, and structural changes that would make it easier for LLMs to cite as a source.”

7 Citation‑Worthy Content Brief

“Build me a content brief for ‘[target keyword]’ designed to be cited by LLMs. Include: data points to reference, expert quotes to gather, original frameworks to introduce, and structural formatting LLMs prefer.”

Ranking on LLMs isn’t magic.

It’s the same SEO fundamentals- authority, content, structure, and mentions applied to new inputs.

Run these prompts weekly, and you’ll start seeing your brand referenced inside AI answers within 90 days.

Which one are you testing first?

Repost if you think more SEOs need to wake up to LLM optimization.

Would you like me to also craft a shorter hook‑style version (like Neil Patel often uses) so you can A/B test which format drives more LinkedIn engagement?

Eid Mubarrak
30/05/2026

Eid Mubarrak

The currency of search has changed, and most marketers have not noticed.Backlinks are no longer the primary signal of au...
27/05/2026

The currency of search has changed, and most marketers have not noticed.

Backlinks are no longer the primary signal of authority. Brand mentions now carry more weight in AI-driven search ecosystems.

When analyzing what type of content best suits AI search, Neil Patel's LinkedIn insights reveal a clear hierarchy.

Research and data-driven content emerged as the strongest performer overall, earning both brand mentions and backlinks in an era when AI models draw on every credible mention they encounter.

Patel argues that the smarter question is not how to get more links, but where your brand deserves to be mentioned in the conversation.

That shift leads toward original data, tools that solve real problems, and point-of-view pieces that people quote when explaining a topic to someone else.

This represents a fundamental rethinking of what type of content best AI search prioritizes. AI systems now value verified expert content and real author credentials over community-driven noise.

Becoming the source that AI models cite repeatedly requires answering direct user questions with unmatched clarity.

Organize your content into Q&A clusters to serve GEO while embedding strategic keywords for traditional SEO.

The brands that master what type of content best AI search will build authority that compounds over time, rather than traffic that fades. The rest will watch their visibility disappear into zero-click summaries.

I spoke with a SaaS owner last week whose blog traffic dropped 40% overnight. She asked if she should hire an agency fas...
25/05/2026

I spoke with a SaaS owner last week whose blog traffic dropped 40% overnight. She asked if she should hire an agency fast. My answer was not about spending money.

It was about urgency without panic. When you need SEO today, you do three things before touching your budget.

First, check Google Search Console for manual actions or sharp drops in average position. Second, run a screaming frog crawl to find broken internal links and orphan pages.

Third, rewrite your title tags and headings for the exact phrases your customers use in reviews, not your internal jargon.

Neil Patel emphasises that SEO is a compound-interest game, but compounding stops when the basics break down.

If you need SEO today, focus on what drives immediate user experience improvement. That means removing pop‑ups that block content on mobile, fixing image alt text for accessibility, and merging two thin pages into one detailed guide. Advanced SEO is not complex. It is disciplined.

When you realise you need SEO today, resist the urge to over‑optimise. One clean, useful page beats ten mediocre ones every time.

Start with a five‑minute site search and ask, “What is my actual click‑through rate from page two?” That number will tell you everything.

To make these stronger for your specific industry (e.g., e‑commerce, B2B, local), add one concrete metric from your own recent audit, like “we cut load time by 1.2 seconds” or “recovered 150 keywords from positions 11‑20.” Would you like me to tailor either variant further to your niche?

08/05/2026

How we got a New York Post backlink by scraping TripAdvisor reviews

We analyzed 50 Florida beaches using TripAdvisor reviews. But instead of basic keyword counting, we used sentiment analysis and temporal clustering to track how phrases like “party,” “spring break,” “surfing,” and “best pier” trended week by week.

Advanced twist:
We didn't just rank beaches by mention volume. We calculated a “spring break intensity score” = (keyword mentions ÷ total reviews) × (seasonal spike factor). This filtered out year-round party chatter and highlighted beaches where spring break buzz genuinely exploded.

Tooling upgrade:
Skip the basic Chrome extension. Use Octoparse (point-and-click) or Scrapy (Python) with rotating proxies to avoid rate limits. Store data in Airtable and use Google BigQuery to detect keyword clusters (e.g., “crazy party” vs. “family party”).

Angle engineering:
We didn't just write a generic report. We created hyper-local hooks:

“Top 3 hidden spring break spots on Florida’s Gulf Coast”

“Where surfers beat the crowds (data inside).”

“Best piers for sunset parties – ranked by drunk mentions.”

Then we A/B tested headlines with a small email list before pitching journalists.

Outreach that worked:
We sent data GIFs and interactive maps (using Flourish) to journalists 3 weeks before spring break. No PDFs. No “see attached.”
We also ran a soft launch on Reddit (r/springbreak, r/florida) to generate social proof before emailing editors.

Timing multiplier:
We paired the release with Spring Break Safety Week (when police departments publish their own data). Our pitch: “Official data vs. real reviewer behavior – the gap is huge.”
That angle got picked up not just by the NY Post, but also by local TV stations and a national morning show.

Results:

1 NY Post link (DR 92)

12 regional news links

+340% organic traffic to the study page in 10 days

Your next-level takeaway:
Data campaigns win when you move from “we counted words” to “we found a behavior pattern that aligns with a news cycle.” Add sentiment, time-series, and a visual hook. Then time your pitch to a related news event – not just the season, but the controversy within the season.

Want the exact email template and the scraping script I used? Drop a comment 👇

04/05/2026

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