Forem: Itzik (Yitzhak) Fayzak

A Trust-First Recipe AI Agent Using Algolia (No Hallucinations)

Itzik (Yitzhak) Fayzak — Sun, 08 Feb 2026 13:30:11 +0000

This project was built for the Algolia Agent Studio Challenge.

• The agent operates in Hebrew, matching the language of the recipe and its audience
• Certain verified questions return a video button that jumps to the exact second where the answer appears

Instead of building a generic AI chatbot, I built a recipe-specific AI assistant designed to answer real user questions only from verified knowledge, without ever inventing ingredients, quantities, or steps.

The goal of this project was to test whether a focused, retrieval-only agent can provide real value in cooking — a domain where incorrect answers are worse than no answers.

What I Built

I built a consumer-facing conversational AI agent embedded into the Iditush recipe website.

The agent acts as a personal assistant for a single high-traffic cheesecake recipe, which has over 190,000 views and generates a large volume of recurring user questions.

The assistant answers questions only when the information already exists in a structured knowledge base indexed in Algolia.
If no verified answer exists, the agent explicitly declines to answer and captures the question for future improvement.

The Problem

Popular recipe pages generate thousands of similar questions over time, such as:

Why did the cake collapse?

Can I replace a specific ingredient?

How long should the cake cool?

What went wrong at a specific step?

Most AI chat systems attempt to answer these questions even when no reliable data exists — often hallucinating cooking advice that can ruin the recipe.

In cooking, a wrong answer is worse than no answer.

The Solution

I built a retrieval-only AI assistant dedicated to this specific recipe.

The agent:

Searches only within a verified, author-approved knowledge base

Answers questions only when a relevant match exists

Explicitly returns “no answer found” when information is missing

Logs unanswered questions for future expansion of the knowledge base

Optionally allows users to receive an email once an official answer is added

This creates a feedback loop where real user questions drive knowledge growth — without compromising trust.

Live Demo

🔗 Live Application: demo

No login is required to test the agent.

How It Works (Architecture)

The agent follows a deterministic, trust-first flow:

A user submits a question via the chat widget

The backend performs search retrieval using Algolia

If a relevant knowledge object is found, the answer is returned

If no match exists, the agent returns a safe fallback message

The unanswered question is logged for future analysis and expansion

No generative model is used for answering.

How Algolia Is Used

Algolia serves as the single source of truth for the system.

All recipe knowledge, Q&A, and explanations are indexed as structured objects

Searchable attributes are explicitly defined

The agent relies entirely on Algolia retrieval to decide whether it is allowed to answer

No response is returned without a valid Algolia match

Algolia powers the intelligence layer of the agent.

User Experience Decisions

Several UX decisions were intentional:

No hallucinated answers

Clear feedback when information is missing

Optional email collection only after the first unanswered question

Direct video timestamp linking when relevant (users jump directly to the exact moment in the recipe video)

The interface and content are in Hebrew, but the system design and retrieval logic are language-agnostic.

How to Test the Agent

Open the chat widget on the recipe page
Ask a question in Hebrew (for example: “כמה סוכר צריך?”)
Click the video button to jump to the exact moment in the recipe video
Ask a question that does not exist in the knowledge base
Observe the safe fallback behavior

Challenges & Learnings

The biggest challenge was intentionally not using a generative LLM.

This project reinforced that in domains like cooking, trust, correctness, and clear boundaries matter more than creativity.

An agent that knows when not to answer can be more useful than one that answers everything.

What’s Next

This project was designed as an experiment.

If the agent proves reliable and useful for this single high-traffic recipe, the same architecture can be expanded to additional recipes — each with its own dedicated knowledge base.

The system is also designed to support an instruction-driven LLM layer in the future, while keeping Algolia-based retrieval as the final authority.

This project explores whether an AI assistant can provide real value by knowing less — but knowing it with certainty.

40 sites, hundreds of dollars a month – just for internal link analysis?

Itzik (Yitzhak) Fayzak — Mon, 05 Jan 2026 14:43:30 +0000

In the past month, I needed to analyze internal links across 40 different websites. Nothing out of the ordinary — just understanding how pages are connected, where the flow gets stuck, and where the gaps are.

Like everyone else, I went to check well-known tools like SEMrush and similar platforms.

And then I realized the real story.

To get internal link analysis for all these sites, I would have to pay hundreds of dollars a month per account or manage 40 separate accounts — just for internal link analysis.

40 sites. Hundreds of dollars per account. Every single month.

At that point, it didn't feel like a professional tool anymore; it just didn't make sense.

The Decision to Build It Myself

At that stage, I made a simple decision: If the existing tools don't fit what I need — I'll build the tool myself.

Not a general tool, and not just another "pretty report." A tool tailored exactly to how I work.

After 18 years of working with websites, it was clear to me what was missing in existing tools:

I wanted to see internal links from page to page.

I wanted to see the anchor text of every link.

I wanted to give a score to the linking page based on parameters I define — not according to a closed formula from an external tool.

Beyond that, it was important for me to see the big picture:

A link graph that you can move and interact with.

Something that allows for easy identification of pillar pages, service pages, and internal pages.

And ultimately — mapping the entire site structure in a visual and clear way.

Because this was born out of a real need — not a product idea — it was clear to me from the start that the tool should be free. Something anyone could easily install on any WordPress site, without accounts, without subscriptions, and without unnecessary complications.

In short, not another tool that tells me "how many links there are," but a tool that shows me how the site is actually built.

Realizing the Problem is Wider

Only then did I realize this wasn't just my personal problem. It's a system.

Most major SEO tools aren't built for people working with dozens of sites. They are built for one account, one site, and one subscription — and if you need more than that, the solution is always the same: pay more.

If you manage more than one site, you already know the story. The same feature, the same data, just with a price tag that multiplies with every site.

When exactly did we decide this was normal?

The Problem is Not the Tool — It’s the Model

The issue here isn't one tool or another. The issue is the model.

The moment every feature is priced "per site," anyone working at a slightly larger scale gets pushed into a corner. Not because they need something extraordinary — but because the model wasn't built for them in the first place.

When it comes to internal links, it’s even more jarring. The information already exists on the site. There's no external API here, and there's no magic. Just an analysis of an existing structure.

And yet — the price jumps as if it were a completely different product.

The Surprising Discovery from Visual Mapping

As soon as I started mapping the links visually, things started to pop up that I hadn't seen before.

Central pages that received almost no internal links.

Secondary pages that received more "power" than they should.

Entire structures that looked logical "on paper" — but didn't work in practice.

These aren't things you see from a numbers report or an Excel table. You need to see the site structure like a map, not like a list.

A Value-Based Decision — The Tool Will Be Free

At this point, it was clear to me that I didn't want to turn this into another paid tool.

The problem this came to solve was born from real work, not from looking for a product to sell. And for those working with more than one site — the "pay per site" model simply doesn't make sense.

So instead of building another tool with a monthly subscription, I decided to release it as something everyone can use. No accounts, no packages, and no decisions about "how many sites is this worth to me."

A Calm Presentation of the Tool

At this stage, I already had a tool that worked — but not in the way regular SEO tools work.

It doesn't "crawl" the site and it doesn't try to guess. It simply identifies the existing internal links:

From which page to which page.

With which anchor text.

And what relationships were actually created between the pages.

Based on this data, I can define parameters myself and give each page an internal score based on the actual structure of the site — not based on a closed formula from an external tool.

Once there’s a score for the page, we can do the really interesting part: Compare it to what’s needed to appear on the first page of Google for a specific phrase, and see mathematically where the gap lies — not as a feeling, but as a number.

No guesses. No "it feels strong." Just structure, relationships, and a score you can work with.

An Open Question to Finish

What interested me in this whole process wasn't the tool itself, but what happens when you stop guessing and start measuring.

With this tool, I can see exactly which pages are getting power, which pages are getting stuck in the middle, and what score a page is missing to compete for the first page on a certain term.

But then a more interesting question arose for me:

How do you measure the power of internal pages today? Is it by "feel"? By external tools? Or do you have another way to understand if your site structure actually works?

Measuring links is great, but in 2026, Google is measuring you. I’ve spent years decoding how Google validates an entity beyond just code and keywords. You can find the full breakdown here: The SEO Time Machine: Episode 3.

From Word Engineer to Entity Architect: The True Story of How Google Changed and How I Evolved With It

Itzik (Yitzhak) Fayzak — Sun, 04 Jan 2026 08:00:21 +0000

In the early days of SEO, long before we spoke about entities, semantics, or language models, I worked like a researcher. I would sit for hours in front of an Access database I built for myself, documenting every tiny change I made on a website what worked, what didn't, and what moved a page even one single position. This was the DNA of my work: experiment, document, learn.

One day, I took four websites in the signage industry, all direct competitors, and began analyzing their titles and meta descriptions. Very quickly, a phenomenon jumped out at me that repeated across all of them with almost mathematical precision: The primary keyword appeared at the beginning of the title, and in the meta description, it appeared at the start of the sentence and then again exactly after four words. Not three, not five—four. It was so consistent that all four sites presented the exact same pattern.

I decided to test this on my own site, which was stuck on the second page at the time. I changed the title and meta description according to the formula I identified: keyword at the start of the title, keyword at the start of the meta, and again after four words. Four days later—the site jumped to third place for a very competitive term.

Of course, I documented everything. It was one of those moments where you feel like you’ve discovered a small "physical law" of Google. And it truly worked… until Google changed the algorithm again, and that law became irrelevant almost overnight.

But that experiment taught me something much bigger: Google may change, but the ability to identify patterns, test them in the field, document, learn, and adapt—that is what stays with you for your entire career.

What Changed in Google — and Why the Method Stopped Working

After years where keyword matching was almost an exact science, a deep shift began to occur within Google. It wasn't a single update—it was an evolution.

Hummingbird (2013) – Google begins to understand sentences, not just words Google moved from Keyword Matching to Semantic Matching. Instead of asking "Does the word appear?", it started asking: "What does the user actually mean?"
RankBrain (2015) – Google begins to learn on its own RankBrain was introduced, Google's first algorithm based on Machine Learning. It no longer relied only on matches—it started to guess, learn, and understand.
BERT (2019) – Google begins to understand human context Google took another leap, starting to understand context, intent, meaning, and the relationships between words.

In other words: Google stopped being a search engine for words and became a search engine for meaning.

What does this mean for my experiment from the past?

The formula that worked for me then—keyword at the start of the title + keyword at start of meta + repetition after four words—was correct for an era where Google "counted" words. But when it started "reading"—that formula became irrelevant. And even dangerous.

Why Keyword Stuffing Hurts Today and What Google Does Instead

When I realized the old method was not only unhelpful but potentially harmful, I started checking what was actually happening. Today, when I repeat a keyword twice at the start of a meta description, especially in a mechanical way, Google flags it as over-optimization. In some cases, it ignores my meta entirely and replaces it with random text from the page.

This is exactly what Lily Ray talks about. In the analysis of her interview on my site, fayzakseo.com, she says a sentence that summarizes everything I see in the field:

“Many sites are falling in rankings not because of a lack of SEO — but because of too much SEO.”

That sentence hit me hard because it describes exactly what I experienced: what worked for me once today looks to Google like an attempt to "push" the algorithm.

Furthermore, it hurts CTR. The user of 2026 is much smarter. When they see a phrase repeated unnaturally, it feels like an ad rather than a real answer. And when they feel like they are being sold to—they simply don't click.

The meta description, once a technical SEO tool, has become a UX tool. I no longer write it for Google—I write it for the user. Its goal today is to attract, explain, build trust, and reflect the content—not to cram keywords.

Google's NLP understands context, intent, meaning, and relationships. It knows what "signage" is. It knows what a "business" is. It knows the connection between them. Today, Google understands what I once had to spoon-feed it.

The Shift from Keywords to Entities — and How it Changed the Game

As I delved deeper, I realized the real revolution wasn't an "algorithm update," but a change in perception. Google stopped looking for keywords—and started looking for Entities.

To Google, "signs for business" isn't a phrase. It’s a relationship between entities: product, business, need, context, and user intent. Once I understood this, I understood why my old methods failed: I was busy with words—while Google moved to understanding meaning.

But there is a deeper layer: not just Entity Recognition, but Entity Validation. This is a whole world in itself, related to how Google connects identity, behavior, professional connections, and real-time information. I wrote a full article about this on dev, including examples and architectural analysis: "Gmail is Not a Mailbox – It’s Your Sensor Inside Google’s Matrix"

The SEO Time Machine | Episode 3: Authority Beyond Code – The 'Iditush' Revolution and the Human Brand

Itzik (Yitzhak) Fayzak — Wed, 31 Dec 2025 21:54:36 +0000

Previous Chapter: Part 2

The SEO Time Machine | Episode 3: Authority Beyond Code – The 'Iditush' Revolution and the Human Brand
As an SEO expert who always tries to predict the future, I felt some time ago that YouTube was becoming the central screen for content in our lives. I noticed that I was listening to music, watching shows, and consuming content on YouTube for far more hours than on traditional television. I immediately grasped the hidden potential and saw the future: people want to be famous, and they now have a free stage—no auditions, no selections, and no gatekeepers.

At that time, my wife Idit, who had dedicated many years to raising our children while I was busy 24/7 building, ranking, and marketing websites for clients, felt a deep sense of emptiness and lack of personal fulfillment. In a split-second decision, I decided to open a YouTube channel for her where she could showcase her greatest passion: cooking and baking. Idit has spent years in the kitchen, preparing recipes passed down through generations—from her grandmother, her mother, and textbooks she brought from Turkey, Greece, and Morocco.

Her cooking style is a magnificent experience. Whenever I stayed at luxury hotels, I would always compare her cooking to the best chefs, and in my opinion—and the opinion of many others—she equals and often surpasses them by far. I knew the world had to see this.

Kitchen Keyword Research: The Strategy Behind 'Iditush'
Coming from an SEO background, I understood exactly how niches operate. I knew how to research which terms could drive real traffic to Idit’s channel. I found a large number of keywords with significant search volume, such as "baked cheesecake" or "schnitzel recipe." Based on this research, we decided which videos to film.

Idit and I watched various YouTube videos together, analyzing what others did well and where they failed. We decided to produce better videos—those that explain more deeply, speak at eye level, and allow anyone to truly succeed in the kitchen. I didn't stop at the content: I embedded the videos into the recipe pages on the website, used advanced VideoObject Schema Markup so Google would display Idit’s face in search results, and designed custom thumbnails to maximize the Click-Through Rate (CTR).

The Day the Servers Shook: 22,000 Visitors in 24 Hours

The proof of the synergy between YouTube and SEO came when one of our videos went viral. I remember opening the Real-time Analytics and couldn't believe my eyes: 22,000 visitors entered the site in a single day. It was a tense technical moment—the server reached its absolute limit and almost crashed under the massive load. Only thanks to my experience in infrastructure management did we manage to keep the site live and serve every visitor.

The Human Connection: From October 7th to a Heart-Wrenching Call

During the war in Israel after October 7th, 2023, Idit decided to volunteer and cook for soldiers on military bases. She became the "Mama" of the base. This was where her passion for cooking connected with her incredible human story. We filmed detailed tutorials that exploded on YouTube: 170,000 views for the cheesecake and 175,000 views for the schnitzel. Idit grew stronger, gaining many subscribers who visited the site more frequently. The overwhelming responses and personal phone calls brought us to tears more than once.

The peak was the day an elderly woman called and asked to speak with "Iditush." She shared that she was terminally ill with cancer and had spent her last year watching the channel and preparing Idit’s recipes. She shared how much she and her family enjoyed the food and the comfort it brought them. This moment moved Idit and all of us to tears. This is where I understood the true power of a brand—the power to move people when you truly have something to give. The power to give without expectation, which ultimately gives you immense strength.

The Birth of the Entity: When Google Starts Searching for You

After Idit branded herself through YouTube and Facebook, we witnessed a remarkable phenomenon in the Search Console: A surge in direct searches for the name "Iditush" on Google. People were no longer just searching for a "recipe"; they were searching for the Entity—the person they trusted. Google recognized this and treated our site as a high-authority source (Entity).

Looking Forward: CapCut, Podcasts, and Knowledge Sharing

Inspired by Idit, I decided to harness my own knowledge and launch a YouTube channel. I founded a channel in a niche I identified as new and growing—video editing with CapCut, driven by the massive use of social media. I found that many people are looking to learn how to edit videos professionally. The channel began to grow, and I frequently receive questions and requests for training.

Despite a busy schedule that prevents me from filming frequently, I launched another podcast channel where I share real-world SEO Case Studies and personal stories.

My insight for 2026: Google is looking for people, not just pages. If you build a human brand that provides genuine value outside of your website—you have built the strongest and most resilient SEO possible.

Written by Izzik Fayzak SEO Consultant. For the next chapter, visit again on the same day next week.

Gmail is Not a Mailbox – It’s Your Sensor Inside Google’s Matrix

Itzik (Yitzhak) Fayzak — Fri, 26 Dec 2025 09:14:26 +0000

I’m about to say something that will make your IT department raise an eyebrow, and maybe even summon you for a disciplinary hearing, but it might just be your biggest SEO advantage for 2026.

For decades, we’ve been conditioned to believe that a "corporate email" is an unbreakable law. We’re told that a professional domain is the only way to demonstrate authority. But while everyone else is playing by the 90s rulebook, I’ve identified a deep crack in the system. A crack through which an authority signal (E-E-A-T) flows—one that most of you are simply ignoring due to outdated social conventions.

When you build an Entity Engineering strategy today, you have to ask yourself: If tomorrow morning you manage to spark a discussion with the most powerful nodes in the SEO world—figures like Lily Ray, Bill Hunt, or Mark Williams-Cook—which inbox would you prefer them to reply to? I argue that choosing Gmail is not just a matter of convenience; it’s a strategic decision designed to create an "Association" within the Knowledge Graph.

The Illusion of the "Corporate Domain" vs. the Ecosystem Reality Let’s open the engine and talk about what everyone is afraid to say. Most SEOs get nervous at the question: "Is Google reading our emails?". My answer is that it doesn’t even matter, and it might even be better if they are.

John Mueller will probably be quick to deny this in the name of privacy and corporate policy, but as an architect, I don’t wait for an official statement from the PR department. I operate under one working assumption: Inside Google’s Ecosystem, nothing goes to waste. When you send an email from an external server (company.com), Google has to "bridge" the gap. But Gmail? That’s their mother tongue. That’s their server. The verification there isn't just technical—it’s absolute.

2. The Architect’s Dilemma:

I Want Google to "Listen"
Many will talk about privacy, and I say: let’s manage risks like pros. If I don’t have state secrets in my professional email, why wouldn’t I use Google’s "listening" to my advantage?

I am inviting Google into the discussion. I use Gmail as a "silent speaker." I consciously waive the privacy of professional discourse in exchange for Entity Verification. If Google is "listening" to improve its LLMs or its Knowledge Graph, I want it to hear me conducting the smartest discussions in the room with the most influential people in the industry. Those who fear Google knows too much about them can keep hiding behind their domain. I prefer to feed the system with data that builds my authority.

3. The Ping-Pong Dynamic:

Two-Way Verification That Cannot Be Faked
Here is the point where most of you miss the real power: sending the email is only half the story. The real magic happens the moment the other side replies. Inside Google’s servers, the moment a two-way correspondence develops, a "Proximity Metadata" circuit is closed.

When a global authority hits 'Reply' to your email within the Gmail system, they are essentially signing your digital ID card. Google receives proof that no AI can forge: a real expert has dedicated real time to your entity. In 2026, Google isn't looking for words—it’s looking for Clusters. If you are in dialogue with the Elite, you become part of the Elite.

4. The Super-Entity:

This Isn’t Just SEO, This is Identity Mining
Your Gmail is not an isolated island. It is the UID (Unique Identifier) that connects all your actions. When you browse in Chrome, analyze authoritative sites in Search Console, and manage a schedule in Google Calendar—all under the same account—you are building an "Expertise Fingerprint." Google connects what you read, who you talk to, and the data you analyze.

I argue that Google uses Gmail as the UID that connects all these actions. If your Gmail is only connected to porn and AliExpress shopping, don’t be surprised if your authority doesn’t rise. But if your Gmail is the nerve center of the smartest discussions on the web—Google 'tags' your entity as a knowledge hub. This is Cross-Referencing that creates an entity a thousand times stronger than any random LinkedIn profile. You aren’t just "getting links"; you are becoming part of the system administration.

5. Beyond the Screen:

Is Waze the Final Sensor?
Let’s go all the way. Google owns Waze. It knows where you are physically. In 2026, as the Knowledge Graph becomes a living entity drawing data from real-world sensors, my question is this: Does Google connect the email you sent to an expert with the fact that your GPS shows you are parked next to their office?

It might sound paranoid to you, but to a Search Architect, it sounds like the most reliable signal in the world: Real-World Verification. The connection between the digital and the physical is the true Omnichannel SEO.

6. Why Domains Die and Identity Remains

Websites change owners, companies close, domains expire. If your authority is locked within a corporate email, you are merely renting your reputation. Your Gmail is your Persistent Identity. It is your anchor for the next 20 years. Google identifies your patterns over a decade—the consistency, the long-term connections—and that is an asset no bot can create and no employer can take from you.

In conclusion, John Mueller, the ball is in your court. I know the official stance is a total separation between Google products and search rankings. But in the era of AI, LLMs, and Knowledge Graphs—can you really tell us, with a straight heart, that you are ignoring the most human and reliable signal you have in the system?

We are no longer optimizing for words. We are optimizing for our existence within your network. Are you listening?

And if Google isn't doing it yet—here is the map. And if by chance Google isn't connecting all these dots yet—then here is the map. Here is the Blueprint. Here is the way to turn the Knowledge Graph from a system that reacts to the world into a system that understands the world.

If Gmail is the UID,

If Chrome is the behavior layer,

If Search Console is the expertise layer,

And if Waze is the reality layer—

Then the connection between them isn't a "feature." It is the next step in the evolution of Search. And if Google isn't doing it yet, I’m putting it right here—for someone to pick up the gauntlet.

By: Izzik Fayzak Search Systems Architect, 2026

Update: A comprehensive Hebrew version of this architectural breakdown, including insights for 2026, is now live on my official site: Gmail הוא לא תיבת דואר, הוא ה-Sensor שלכם בתוך המטריקס של גוגל.

Technical Debate Update: This thesis sparked a deep professional discussion with Gianluca Fiorelli. We dived into the nuances of Gmail as a UID and its impact on the Identity Layer.

Just dropped Chapter 2: The Architecture of Shadows. From 2008 'Ghost Text' to 120-site monopolies. https://dev.to/fayzakseo/architecture-of-shadows-the-hidden-monopoly-and-the-battle-for-information-control-34eb

Itzik (Yitzhak) Fayzak — Thu, 25 Dec 2025 06:40:02 +0000

Architecture of Shadows – The Hidden Monopoly and the Battle for Information Control

Itzik (Yitzhak) Fayzak ・ Dec 25 '25

#seo #wordpress #webdev #entityengineering

I just published Chapter 2 of my SEO history series. From white text in 2008 to Entity Engineering today. Would love to hear your thoughts!

Itzik (Yitzhak) Fayzak — Thu, 25 Dec 2025 06:34:07 +0000

Architecture of Shadows – The Hidden Monopoly and the Battle for Information Control

Itzik (Yitzhak) Fayzak — Thu, 25 Dec 2025 05:27:08 +0000

Chapter 2: Architecture of Shadows – The Hidden Monopoly and the Battle for Information Control
In the ring, if you want to defeat an opponent stronger than you, you don’t go head-to-head where they expect you. You study their movements, identify the gaps in their guard, and strike from an angle they never saw coming. In 2008, Google was the ultimate opponent, and I had to learn how to dance around it without getting caught.

The year is 2008. Google had already become a behemoth that decided the fate of businesses. In Israel, the competition for the "Signage" niche was a daily war zone. Back then, being in the first position was nice, but I wanted more. I wanted absolute dominance over the entire first page of search results.

Building a website in those days was grueling manual labor. There were no intuitive "builders," no Elementor, and no one-click WordPress installs. I wrote ASP code from scratch, line by line, using a notepad and my PC. Every site took two to three weeks of intensive work. There was no WhatsApp for quick communication, no HTTPS standard, and the world had no concept of mobile browsing – everything happened through the home computer, and every element had to be built perfectly to function.

The Ghost Text Experiment: The Light in the Dark
One night, while everyone was asleep and I sat before the flickering screen in my bedroom, a lightbulb went off. I wanted to understand how much the Google algorithm actually "sees" what the user sees, and how sensitive it was to volume. I conducted a daring experiment: I took the homepage of one of my sites and added a massive amount of keywords, repeating them over and over. To hide it from the user, I painted the text white on a white background.

The result was both amazing and terrifying: the site shot to the top of the first page almost instantly. It was a moment of euphoria—proof that my action triggered a precise response from the algorithm. But that night, instead of celebrating, I felt fear. I realized I had found a loophole, but I also knew it wasn't "real." I knew the Google of the future would close this gap, and I feared the penalty would be severe enough to erase the entire domain permanently. I made a hard choice: I gave up the stolen top spot and removed the white text. I chose the long, safe path—realizing that data accuracy is more powerful than any temporary trick.

A true fighter knows that a knockout from an illegal blow might give you the trophy for a second, but it will ban you from the league forever.

The Strategy: Managing 8 Client Sites and the Excel Monopoly
I returned to pure data methodology. I managed 8 different client sites in the same signage niche, occupying the entire first page of Google simultaneously. I became an "SEO Scientist" with the most powerful tool I had: a massive Excel file. In this Excel, I kept a forensic record of every page: manual word counts, precise keyword density calculations, image weights, and legal color contrast ratios. Everything was mathematically calculated so that Google would "consume" my content every single time.

The Battle for Information: Why I Said "No" to Webmaster Tools
That same year, Google began pushing Google Webmaster Tools (now Search Console) aggressively. My clients started hearing that they "must" connect their sites to this tool to see data. They came to me with a demand: "Izzik, connect us to Google."

I flatly refused.

I realized this tool was a "double agent." I knew that if I connected all 8 sites to the same system, I was handing Google the roadmap of my network on a silver platter, allowing them to perform cross-referencing that would expose the connection between them. The dialogue with clients was tough. I told them plainly: "Connecting this tool is too big of a risk. It will give Google internal information they don't need to know. If you insist—you might drop from the first page all at once." When they saw my determination and the stable rankings, they understood there was a larger strategy at play and agreed to skip the tool.

Architecture of Camouflage: The Anti-Footprint
To maintain this "monopoly" without leaving a "Digital Footprint," I operated like an architect of clandestine networks:

Infrastructure Dispersion: Every site sat on a different server, with completely different IP addresses across various server farms. I wanted total disconnection at the hardware level.

Zero Monitoring Tools: I didn't use Analytics or Webmaster Tools. All analysis was performed manually from server logs and my Excel files.

Code Identities: Even though all were in ASP, I ensured the code structure varied from site to site to prevent the identification of identical writing patterns.

The Big Move: 120 Sites for One Locksmith
Towards the end of that period, a locksmith approached me with a crazy vision: he wanted to dominate every single city in Israel. I took all the knowledge I had gathered about risk distribution, separate identities, and dynamic code, and built him 120 different websites—one for every city in the country.

The morning he woke up after Google finished indexing the sites was a historic moment. He discovered he held all the top spots in Google Israel under every "Locksmith in [City Name]" query. He became, overnight, a national locksmith dispatch center dominating the market absolutely. This was the power of Technical SEO combined with uncompromising strategy.

Chapter Summary
Today, in 2026, the arena has changed. Google no longer looks for white text or IP addresses; it looks for the Entity behind the code. But the strategy remains the same: absolute control of information, risk distribution, and the knowledge that he who controls the data—controls the battle. In the next chapter, we will see how to take the lessons from the 120 sites of 2008 and distill them into modern Entity Engineering that is impossible to take down.

Modern Entity Engineering & Global Insights While my journey started in the trenches of 2008, the principles of Entity Engineering are now supported by global experts. As Neli Patel emphasizes, Google has evolved from simple text analysis to understanding real-world Entities through the Knowledge Graph. Patel’s insights into how Google connects information nodes perfectly mirror what I discovered early on: that structured data and entity relationships are far more powerful than any temporary ranking trick.

About the Author: Izzik Fayzak is a veteran SEO Consultant (יועץ קידום אתרים) with over 17 years of experience in the arena [cite: 2025-12-04]. He specializes in Entity Engineering and building search authority for complex markets. You can find more deep-dives and technical analysis at his official site: fayzakseo.com

As we explored the battle for information control in this chapter, the landscape has evolved. Today, the primary tool for understanding how Google interprets your digital footprint is Google Search Console. I’ve created a practical, up‑to‑date guide that shows exactly how to use it to see what the algorithm truly sees — and how to turn that visibility into strategic advantage.

Missed the beginning? Catch up on Chapter 1: The Missing Dot and the Birth of My First Search Engine

SEO Is No Longer About Ranking, It’s About Being Chosen

Itzik (Yitzhak) Fayzak — Mon, 22 Dec 2025 09:01:13 +0000

SEO is no longer about your position in Google, it’s about being selected

I have been working in SEO since 2005.
Not through theory, not through courses, and not through trends.
Through real work in the field, trial and error, successes and failures, and many websites that taught me the hard way how search really works.

I was there when a single strong link could move a site dozens of positions.
I was there when a small change in a title tag made a real difference.
And I was there when one Google update erased years of work overnight.

From that experience, learned the hard way, one thing is clearer today than ever.
SEO is no longer about ranking. It is about being chosen.

Not where you appear.
But whether a search engine or an AI-based system chooses you as a source.

In the past, first place was the goal

Today, being chosen is the game.

In the past, the process was relatively straightforward.
Google displayed a list of links, users clicked, and traffic went to whoever was at the top.

If you were first, you won.
If you were not there, you were almost invisible.

Today, the reality is completely different.
Google provides answers, not just links.
AI systems summarize information for users.
Many searches end without any website visit at all.
Even well-ranked sites are seeing CTR decline.

This is not a temporary glitch It is a structural change

Search has changed, but much of SEO is still stuck in the past

To this day, I see websites operating as if it is still a decade ago.
An almost obsessive focus on keywords.
Success measured only by traffic volume.
Content written to satisfy an algorithm instead of conveying knowledge.
A constant search for shortcuts.

But the real question today is very different.
Why should a search engine or an AI system choose you?

Not show you.
Not rank you.
Choose you as a source.

Selection is based on trust and identity, not tricks

Search engines stopped counting words a long time ago.
They are trying to understand context, meaning, and identity.

They evaluate who stands behind the website.
What the site truly specializes in.
How consistent it is over time.
Whether others treat it as a source.
And whether it has a presence beyond the website itself.

This is no longer about optimizing individual pages.
It is about building digital credibility.

Keywords are an outcome, not the starting point

Keywords have not disappeared, but they are no longer the foundation.
They are the result of doing things right, not the strategy itself.

Today, when I start an SEO project, I do not ask which keywords we want to rank for.
I ask which domain we want to lead.
Which questions we want to be the answer to.
And whether the site looks like a collection of pages or a true knowledge source.

Modern SEO starts with topical authority, not spreadsheets

What experts are saying, and what I see in practice

One of the biggest shifts in SEO is the move from opinions to observation.
Less about what we think should work, and more about what actually works.

When you follow leading experts over time, a clear pattern emerges.
Trust, authority, identity, and context.

From my experience in the field, this is accurate.
Sites with technically correct content but no depth or identity weaken after updates.
Sites with real expertise, even if they are not technically perfect, remain stable.

Pages that add no new value to a topic disappear.
Pages based on real work, documentation, and experience remain visible even as search evolves.

Not every site is evaluated as a whole.
Individual pieces of information are selected independently.
Those who understand this and build content accordingly are one step ahead.

What experts in the field are emphasizing

Lily Ray

Lily Ray has been talking for years about trust and quality, especially for sensitive websites. She consistently shows that sites affected by major updates do not fall because of one technical mistake, but because of accumulated lack of credibility.

From my experience, this is precise. Sites that look good on paper but lack depth and identity weaken. Sites with genuine expertise survive even when the rules change.

Kevin Indig

Kevin Indig focuses on the shift from keywords to entities and on contributing real value to knowledge. Not repeating what already exists, but adding perspective, experience, or insight.

In my testing, this is very clear. Pages that duplicate information disappear. Pages that contribute something new remain visible, even as AI becomes dominant.

Cindy Krum

Cindy Krum has been discussing entity-first indexing for years and how Google breaks websites into information units. Not every website is evaluated as a whole. Each piece of information stands on its own.

In practice, this means one page may be selected while another page on the same site is ignored. Those who understand this and build focused content are ahead.

Duane Forrester

Duane Forrester speaks about search as something that extends beyond Google. AI systems, assistants, and additional platforms are already selecting information sources.

I see this from the client side as well. Fewer questions about traffic volume, more questions about why we are not being mentioned.

Andrea Volpini

Andrea Volpini focuses on semantic SEO and the relationships between entities. The connections between concepts, brands, and people are just as important as the page itself.

This aligns with what I see. Sites with a clear semantic structure and a well-defined area of expertise gain more stability.

Barry Adams

Barry Adams speaks extensively about source authority, especially in content and news ecosystems. If you are not perceived as a credible source, you are simply not chosen.

Again, practice confirms this. Publishing is not enough. You must be a source.

What I believe will truly matter in 2026

Izzik Fayzak, SEO Consultant

After nearly twenty years in SEO, and based on what I see in real projects, three things will be critical.

Fact-based research before writing. Content that is not based on experience, testing, and documentation does not survive. Articles that describe what should happen decline. Articles that show what actually happened remain.

Clear identity before optimization. A well-structured site is not enough. It must be clear who stands behind it, what they specialize in, and why their perspective matters. Sites without identity dissolve into the noise.

AI seeks credibility, not perfection. From my testing, AI systems do not necessarily choose the most polished page. They choose consistency, clarity, and confidence. Less noise, more meaning.

SEO is becoming a profession of responsibility

SEO is no longer a technical game.
It is a profession that requires responsibility for accuracy, for information, and for the identity you build over time.

Those looking for tricks will keep chasing updates.
Those building trust will remain relevant.

Summary

SEO no longer asks how to reach first place.
It asks why anyone should choose you at all.

Those who understand this now will remain relevant in 2026 and long after.

The Missing Dot and the Birth of My First Search Engine

Itzik (Yitzhak) Fayzak — Sun, 21 Dec 2025 06:28:27 +0000

Episode 1: The Missing Dot and the Birth of My First Search Engine
The year was 2005

Tel Aviv. In a small 3-room apartment, while my wife and two young children were long asleep, something else was being born. It didn’t happen in a flashy tech office or a high-end lab; it happened in a corner of my bedroom, on a tiny desk squeezed right next to the bed.

Back then, the internet was static. Most websites were digital brochures—fixed text and images. But I had a different vision: I wanted to build a dynamic automotive portal. A site that "lived," breathed, and responded to the user. I called it "fayzak."

Learning to Fly Without Wings
I didn’t have YouTube tutorials, online bootcamps, or ChatGPT. I had only two tools:

A thick, worn-out Hebrew book on ASP by Zohar Amihud.

English-speaking forums where I spent hours translating the logic of global developers into lines of code I could understand.

My method was almost primitive by today's standards: I sat with a physical notebook, writing lines of code by hand with a pen. I had to visualize the connection between the HTML, the ASP logic, and the Access database in my mind before I typed a single character into Notepad.

The "Missing Dot" Nightmare
I will never forget the night it all fell apart. I was building the portal's internal search engine. I wanted a user to be able to select a manufacturer, model, and price, and receive a pinpoint result. In 2005, this felt like magic.

After months of work, I hit "Run." Nothing. The site crashed. A white error message on a blue background. The database refused to talk to the code.

I sat there for hours. The blue light of the monitor reflected off the dark bedroom walls. My eyes were burning. I re-read every line, comparing it to my handwritten notes in the notebook. It wasn’t until the early morning hours that I found it: A single dot (.) in the wrong place. One tiny character in a SQL string that brought down an entire system.

The Podium Moment
The moment I fixed that dot and the first search result popped up on the screen, the adrenaline surged. When you are alone against the code and suddenly everything connects—it feels like standing on the #1 spot on the podium in a massive arena. That power, to control the code and make it execute exactly what you envisioned, felt like being a rockstar performing in front of tens of thousands of screaming fans. I couldn't sleep. I had built a living machine with my own hands.

A Nod to SEO History

Looking back at those long nights, I’m reminded of how we all relied on early documentation to make sense of the "Wild West" of search. For as long as I can remember, Barry Schwartz has been the chronicler of our industry. Sharing this story today is my way of contributing to that collective history—a time when everything was built by hand, long before automated tools could find our mistakes for us.

Why This Matters for SEO in 2026
You might ask: "Itzik, why tell us about ASP and Access in the age of AI and E-E-A-T?"

Understanding how a database communicates with a browser is the foundation of Technical SEO. As John Mueller often reminds the community, SEO isn't about magic—it's about understanding how the web actually works. If you understand the "guts" of the code, you understand how Google crawls the world.

Because SEO hasn't changed as much as you think:

Precision: Just like that missing dot, one tiny technical error today (like a crawl block or a broken canonical) can kill your rankings.

Passion: If you aren't willing to stay up all night to find a "dot," you won't have the grit to solve a critical ranking drop while everyone else is panicking.

The "Experience" Signal: From 2005 to Today
This isn't just nostalgia. It’s about what Google calls E-E-A-T. As SEO expert Lily Ray aptly analyzed in her piece for Search Engine Land:

"The addition of 'experience' indicates that content quality can also be evaluated through the lens of understanding the extent to which the content creator has first-hand experience in the topic."

By sharing these stories from 2005, I’m not just looking back—I’m providing the "First-hand experience" that AI simply cannot replicate.

In the next episode: I’ll take you to the era where I dominated the "Signage" market with 8 websites on Google's first page simultaneously—and how I did it using nothing but Excel sheets and raw data analysis.

Update: The journey continues! Read Chapter 2: Architecture of Shadows – The Hidden Monopoly and the Battle for Information Control

The Toughest Fight I Had This Week… Was With Myself

Itzik (Yitzhak) Fayzak — Sat, 20 Dec 2025 18:16:01 +0000

The Toughest Fight I Had This Week… Was With Myself

Itzik (Yitzhak) Fayzak — Fri, 19 Dec 2025 16:29:04 +0000

This week I learned something funny (and a bit painful):
you don’t always need competitors — sometimes you are your own toughest opponent.

I’ve been working since 5:30 AM, doing what I always do:
optimizing, tweaking, improving, fixing things no one else on the planet would ever notice except me.

Then something small didn’t go the way I wanted.
Really small.
But in my head, it became a “failure”.

And suddenly… I found myself angry at myself.

Not the normal “come on, you can do better” kind of thing.
I mean a full-on silent treatment.
I was literally in a fight with myself for two days.

My wife looked at me and asked:
“Who are you not talking to now?”
And I said:
“Myself. I’m disappointed in me.”

She almost fell on the floor laughing.
She told me: “This is stand‑up material. You should go on stage with this.”

Then she said the sentence that always brings me back to reality:
“You work too hard. You don’t enjoy the process. You try to be perfect even when you don’t need to.”

And she’s right.

I come from a competitive background —
Jiu‑Jitsu, sprinting, medals, first places.
In that world, there’s no second place.
You win, or you train harder.

And that mindset followed me into digital marketing and SEO.
Into every task, every detail, every pixel.

I always want to be number one.
Always want to prove to myself that I can do more.

But sometimes — and this is hard for me to admit —
I need to let go a little.
To say “good enough is good enough”.
To stop fighting myself.
To stop putting pressure on myself that no one else is putting on me.

I’m still learning.
Still messing up.
Still arguing with myself from time to time.

If you enjoyed this story and want to dive into something more SEO‑focused, here’s a related article I wrote:

👉 https://dev.to/fayzakseo/how-much-do-social-networks-really-impact-seo-in-2026-kmc

But at least now…
I can laugh about it.

And maybe that’s the first step toward the next win —
not over others,
but over myself.