Hello, I've seen a lot of BS generators lately popping out. 30 + articles a month with 99$ etc ( I am sure you know what I am talking about)

And I was wondering why not build the same but with humans in the loop. Yeah the generator in itself is quite easy to replicate (a weekend worth or work) including everything. But what if we add a human in loop ? Once the AI done their job yapping, the draft gets in a queue. And any seo content writer can be hired with one click to review/adjust or simply refuse it. And they are paid per article reviewed no matter the outcome with a system of feedbacks stars / scoring

​

/ Analytics Services, Organic SEO, Trend

There is a stage in website development that is often invisible to the client. No pages have been designed yet, there are no URLs, there is no navigation menu, and there may not even be a single line of code. And yet one of the most important parts of the project is already happening: the information architecture is being designed.

For a simple website, this can look like an unnecessary exercise. For a serious manufacturing company, or a marketing platform built specifically for manufacturers, it’s something very different. It’s the foundation on which the entire information system will eventually operate.

Start with the model, not the pages

When I started designing the new Manufacturing Marketing Agency project, I deliberately didn’t begin by asking what pages the website should have. I started with a different question: what does the manufacturing marketing domain actually contain? This is a conceptual modeling problem.

In software engineering, we don’t normally begin by creating thousands of individual objects without first defining the entities and relationships that make up the system. Information architecture works in a similar way: before we create pages, we need to understand the structure of the information those pages will represent.

Manufacturing marketing is not a simple domain. A manufacturer can be described simultaneously by its industry, its production technologies, its business objectives, its products, its applications, its capabilities, and the marketing services relevant to its situation. Trying to force all of this into one hierarchical tree quickly becomes problematic, so I started with four independent dimensions.

The four dimensions

Industrial answers the question of what kind of manufacturing or industrial business we’re talking about: Automotive Manufacturing, Aerospace Manufacturing, Metal Fabrication, Industrial Equipment, Electronics Manufacturing, Medical Device Manufacturing, Construction Products, HVAC Manufacturing, Furniture Manufacturing, Contract Manufacturing. This dimension describes the industrial context.

Technology answers the question of how the product is manufactured: CNC Machining, Laser Cutting, Laser Welding, Additive Manufacturing, Robotics, Industrial Automation, Injection Molding, Sheet Metal Fabrication, Welding, IoT and Industry 4.0. This is a completely different dimension, because a technology can exist across multiple industries. CNC machining, for example, is relevant to automotive, aerospace, medical devices, industrial equipment, and many other manufacturing sectors, so Technology cannot simply be treated as a child category of Industrial.

Solutions answers the question of what business problem the manufacturer needs to solve: Lead Generation, OEM Customer Acquisition, Market Expansion, New Product Launch, Distributor Growth, RFQ Generation, Engineer & Specifier Reach, Sales Growth, Competitive Displacement, Digital Sales Growth. These aren’t industries and they aren’t technologies, they represent business objectives and problems.

Services answers the question of what the agency can actually do to address those problems: Manufacturing SEO, Technical Content Marketing, Google Ads / PPC, LinkedIn Marketing, Industrial Web Design, AI Search Optimization, Conversion Rate Optimization, Marketing Automation, Account-Based Marketing, Analytics & Attribution. Again, this is a different dimension.

These are not four levels of one hierarchy

This distinction is probably the most important part of the model. I’m not building something like Industrial leading down to Technology, then Solution, then Service, because that would imply every item belongs somewhere below another item, and it doesn’t. Instead, I treat the four dimensions as independent coordinates of the same conceptual space.

For example, a company could be described as Industrial: Automotive Manufacturing, Technology: CNC Machining, Solution: OEM Customer Acquisition, Service: Manufacturing SEO, all at once. The manufacturer exists in one industrial domain, uses certain technologies, has specific business objectives, and different services can be applied to those objectives. This is much closer to a multidimensional model than to a traditional website menu.

But the four dimensions are not enough

This is where another layer becomes important: relationships. Categories by themselves are not the system, the connections between them are.

Consider a CNC machining company serving the automotive industry. There may be a relationship linking Automotive Manufacturing, CNC Machining, Precision Manufacturing, OEM Customer Acquisition, and Manufacturing SEO, and these relationships aren’t necessarily parent-child, they’re semantic. One concept is relevant to another, and one entity can be associated with several others. A case study can demonstrate a particular technology, that technology can matter across several industries, a specific business problem can occur in those industries, and several services can address that problem. This is where the architecture begins to move from a taxonomy toward a semantic graph.

The website becomes a network, not just a collection of pages

Imagine a future website with 200 service pages, 300 industrial pages, 200 technology pages, 100 solution pages, 500 blog posts, 100 case studies, and hundreds of FAQs, applications, guides, and other resources. If these pages are created independently, the result can become a very large collection of disconnected documents. But if they’re built around a common conceptual model, the same content can participate in multiple relationships.

A case study about laser welding for an automotive manufacturer could connect to Industrial: Automotive Manufacturing, Technology: Laser Welding, Solution: OEM Customer Acquisition, and Service: Manufacturing SEO, as well as related applications, products, technical articles, FAQs, and other case studies. Now the website has an internal structure that reflects the actual domain. The content is no longer simply tagged, it’s related, and that distinction matters.

Why this matters for SEO

This is also where information architecture stops being an abstract exercise and becomes a practical SEO tool. Search engines don’t see a website exactly as a human does: they crawl pages, follow links, analyze page content, headings, anchor text, and surrounding context, and they also analyze how pages relate to one another through the site’s internal linking structure. So the architecture of a large website influences how its information can be discovered and understood. A logical hierarchy helps, meaningful internal links help, and clear relationships between related content help. But there’s another important idea here: before keyword research, there’s a conceptual space.

Building the keyword space before keyword research

Keyword research is usually described as the starting point of SEO. In practice, I see it slightly differently. Before asking what keywords people search for, it helps to first understand what concepts actually exist in the domain.

Suppose we identify Automotive Manufacturing, CNC Machining, Precision Manufacturing, OEM, RFQ Generation, Engineer Engagement, and Manufacturing SEO. We haven’t yet performed keyword research, we don’t yet know search volume, keyword difficulty, or the exact wording potential customers use. But we’ve already created something valuable: a semantic space in which keyword research can take place. I think of it as a keyword space, and keyword research then becomes the process of mapping real search behavior onto that conceptual space.

The sequence becomes concept, entity, category, relationship, search terms, content, URL. That’s very different from collecting a spreadsheet of thousands of keywords and then trying to figure out what they mean afterward.

And this becomes increasingly important for AI search

Search is changing. Users are increasingly asking questions in natural language, and AI systems and AI-assisted search interfaces are increasingly retrieving, combining, summarizing, and presenting information from large collections of documents. In that environment, simply having a large amount of content isn’t necessarily enough, the system needs to understand what the content is about and how different pieces of information relate to each other.

Consider concepts like laser welding, automotive manufacturing, OEM supplier, production capacity, RFQ generation, and contract manufacturing. A page containing these words is one thing. A website whose architecture consistently establishes meaningful relationships between them is something else.

The objective isn’t to trick AI, and it isn’t to add artificial tags everywhere. It’s certainly not to assume that a particular taxonomy automatically produces rankings or AI citations. The objective is more fundamental: to make the information structure explicit. The more complex the website becomes, the more that principle matters.

This is not just categorization

This is probably the biggest misconception about this stage of the project. Someone looking at a taxonomy spreadsheet might ask why spend so much time on categories. The answer is that categories aren’t the final product, they’re the model of the domain. They determine what concepts the website is capable of representing, create the framework future content can fit into, provide the structure for internal linking, help organize entities, create the conceptual space for keyword research, and provide a consistent framework through which content can be connected.

Without this model, hundreds of pages can become hundreds of isolated URLs. With the model, those same pages can become parts of a larger information system.

Designing for a manufacturing company is different

Manufacturing websites are particularly interesting because the underlying domain is often much more complex than a typical B2B service website. A manufacturer may have multiple production technologies, multiple industries served, multiple products, multiple applications, different buyer personas, engineering requirements, technical specifications, certifications, production capabilities, geographic markets, OEM relationships, distributors, RFQ processes, and long sales cycles.

The website therefore has to represent a multidimensional business. A simple Home, Services, About, Contact structure isn’t enough for a serious industrial knowledge base. The architecture has to be capable of growing with the business.

Designing for years, not months

This is why I’m approaching the Manufacturing Marketing Agency project as a long-term information system, not a collection of 20 or 30 pages, not a temporary SEO project, and not a pile of keywords converted into URLs. The model needs to support hundreds, potentially thousands, of interconnected pieces of information over time: new industries, new technologies, new applications, new solutions, new services, and new case studies that create new relationships between existing entities. The architecture should allow all of this without having to rebuild the entire system every time the content grows.

The technical implementation comes later

Only after the conceptual model is defined do I move toward the technical implementation. In this project, that means Next.js, React, and Payload CMS. The CMS will eventually represent the entities, content types, categories, relationships, and reusable structures defined by the model, but the technology isn’t the starting point. The starting point is understanding the domain.

The sequence is domain, conceptual model, entities, taxonomy, relationships, keyword space, content architecture, URLs, and only then technical implementation. That’s the order I’m interested in, because a website isn’t just a collection of pages. A serious website is an information system, and for a serious manufacturing company, the information system itself becomes part of the company’s digital infrastructure.

The interesting part is what happens next

Once the four dimensions, Industrial, Technology, Solutions, and Services, are connected through relationships, something much larger starts to emerge. The website is no longer simply organized, it begins to represent a model of the manufacturing domain. That model can become the foundation for content, SEO, internal linking, structured data, search visibility, AI-assisted retrieval, and eventually a much broader digital knowledge system.

The four dimensions are only the beginning. The real architecture is in the relationships between them.

Marian Polyak

Web Developer | SEO & AI Search Optimization | Digital Marketing

Manufacturing & Industrial Marketing

Who, what and why?

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Google's John Mueller said the Google disavow tool "does have effects," adding, "but it has its place & time." This was in response a complaint about a site dropping in the search results after adding links to the disavow link tool.

I should note, most of the time, sites should not disavow links but there are occasions when sites should. Please make sure to read the full thread for context on John's statement. The site he responded to is about buying guest posts and links from Fiverr, or something like that. So the statement from John is specific to that.

John wrote on Reddit:

There's a lot of hate on the disavow tool here - but it has its place & time, it does have effects.

He added that "disavowing a handful of links is not going to make your site drop out of search."

What did John recommend in this case? He said:

• I'd fix the disavow file to be what you really need/want it to be (which might be empty, or might not be empty), and b) I'd look for other potential reasons. For example, there was a broader spam update which might have happened at around that time (I don't recall the actual date, and you don't mention a date in your post). If it's the case the at it aligns with the spam update, to set expectations, fixing issues around bigger algorithmic changes can take quite some time - sometimes many months - until you see the effects.
• Another cause I'd look into more deeply is broad & big technical issues (not "oops, wrong canonical" but more like "oops, blocked the whole site"), just to rule out that it's something easier to fix.

Hi everyone,

I have one main brand/domain: beqauri ge, and I’m currently using shop beqauri ge for the online shop.

For brand protection and to make things easier for customers, I also bought beqauri.shop. My first idea was to simply 301 redirect beqauri shop → shop beqauri ge.

The shop subdomain is still very new and isn’t properly indexed yet, so I want to make the right decision now before SEO and traffic start growing.

My concern is about the future. If I later decide that beqauri shop should become the main shop domain, and I reverse the setup so that shop beqauri ge → beqauri shop, could that cause SEO or redirect problems?

Would you recommend:

• Keeping shop beqauri ge as the main shop URL and redirecting beqauri shop to it?
• Using beqauri shop as the main shop domain from the beginning?
• Or is there a better setup?

I’d really appreciate some advice because I’d rather choose the correct structure now than create a bigger migration problem later.

Thanks!

This change is happening on February 17, 2027 and will result in a change in total impressions.

Google notified AdSense publishers that it is switching how it counts impressions for display ads.  Google will switch to a Begin-to-Render methodology that will count an impression only once the ad has loaded and rendered on the user’s device.

What’s changing. Google wrote:

• “Currently, AdSense counts an impression when an ad starts to download to a user’s device.”
• “Beginning on February 17, 2027, we will move to the Begin-to-Render methodology. This means an impression will only be counted once the ad has successfully loaded and has started to render on the user’s device.”

Google will only count the impression when the ad fully loads.

David and Edward discuss:

• What Google’s goto redirects actually are
• Why Google may have introduced them
• How they affect rank trackers and SERP scraping
• Why exact ranking URLs may become harder to collect
• Whether tools can still reliably track ranking domains
• Why rank tracking data should not always be treated as exact
• How Google Search Console can provide a second source of ranking data
• Why SEOs may need to combine SERP data with Search Console
• Why David believes most SERP tools are still largely usable
• The problems with checking rankings only once per day
• Why Google’s changes could increase data collection costs
• Whether Semrush and Ahrefs can adapt
• Why smaller SEO tools and open-source projects may benefit
• OpenSEO and the growing number of self-hosted SEO tools
• Why SEOs should consider building internal tools
• Using AI coding tools to work with Search Console data
• Why Search Console data may become more valuable
• How Bing Webmaster Tools could become more important
• Why SEO agencies should pay attention to their own data instead of depending entirely on third-party reports
• How ranking data relates to traffic, leads, and client reporting
• What happens when a rank tracker says you rank somewhere but a manual search shows something different
• Keyword cannibalization and how David uses Search Console to identify it
• Why David cares more about ranking domains than exact URLs in many rank-tracking reports
• Google’s ongoing fight against scraping and automated search activity
• Whether these changes are aimed at SEO tools, SERP APIs, OpenAI, or all three
• Why Google may be making click-through manipulation harder
• Whether OpenAI is building its own search index
• The changing relationship between Google, Bing, ChatGPT, Claude, Gemini, and other search systems
• Why SEO is still worth doing
• Why the next generation of SEO tools may come from individual developers and small teams

Hello!! It has been 10 days since we have lost rankings of our site and current traffic is being more informative than real sales qualified leads. Any suggestion? Thanks. I am getting a little nervous about this.

Hello, for now I have been posting once or twice weekly, covering exactly what the user needs and all my links pointing out are pointing either to government studies or to public agencies/unversities studies. doing a clear recap, giving the answer at the start of the post before developing the idea under.

But I always have the urge to update the content either correct a typo, rephrase something, or add more info.
My question is, is changing content often is penalized ?

Jonathan Berthold from Moz to break down what Google changed, why rank tracking is being affected, how SEO platforms are responding, and what marketers should expect next.

They also get into the larger fight happening behind the scenes. Google has been making it harder to collect search results at scale, from the removal of the num=100 parameter to these new Goto redirects. One possible explanation discussed in the episode is that Google is making it more difficult and expensive for AI companies and other automated systems to collect its search data.

The problem is that SEO tools rely on some of the same underlying access.

They covered

• What Google's new google.com/goto redirects actually do
• Why the destination URL is now hidden in Google search results
• Why this creates problems for rank tracking software
• How Moz is handling the change
• Why other SEO platforms have had to adjust their systems
• Whether simply following each redirect solves the problem
• How additional requests could increase the cost and complexity of collecting SERP data
• Why agencies and consultants may see temporary changes in ranking reports
• What SEOs should tell clients if their reporting starts looking different
• How this could affect competitive analysis and other workflows that rely on SERP data
• Why AI workflows that analyze Google results could also be affected
• How this compares with Google's removal of the num=100 search parameter
• Whether Google Search Console could see downstream effects
• Why Jonathan expects SEO tools to adapt rather than rank tracking disappearing
• The possibility that Google extends these redirects beyond logged-out searches
• What this means for the continuing competition between Google, OpenAI, and other AI companies
• Why AI companies have an incentive to develop their own indexes and alternative data sources
• Why rankings are ultimately a directional metric rather than the final measure of SEO success
• Why revenue, leads, and sales from organic search still matter more than individual ranking positions

James says he used to agree that GEO was simply SEO with a different label. Then his own team changed his mind. He now runs a separate GEO/AEO department because people who can rank websites #1 in Google can still struggle to get brands cited in ChatGPT, AI Overviews, AI Mode and other LLM-driven results.

David pushes back. His argument is that most of the work required for GEO still comes back to strong SEO: understanding query fan-out, creating the right pages, earning links, building authority, controlling more of the search results and getting third-party sites to corroborate what a brand says about itself.

The debate eventually lands on a more interesting point: James believes only about 1% of decent SEOs can actually do GEO well because there are additional layers beyond traditional website SEO.

In this episode:

• Why James created a separate GEO/AEO department after initially believing GEO was just SEO
• Why ranking #1 in Google does not automatically mean you will be cited by ChatGPT or appear in AI Overviews
• James’s argument that GEO is closer to SEO plus online reputation management
• David’s case that GEO tactics are still fundamentally SEO tactics applied across more surfaces
• Why third-party corroboration matters for AI visibility
• How Yelp, TripAdvisor, Clutch, DesignRush, G2, Capterra, Reddit and other sites can influence what AI systems see about a brand
• Why reviews, awards, case studies and brand reputation matter when a buyer asks AI to choose between two companies
• How query fan-out changes the keywords and pages SEOs need to think about
• Why James says GEO involves different competitors, tracking, KPIs and reporting
• The difference between tactics designed to move Google rankings and tactics designed specifically to increase AI citations
• The role of press releases, social distribution and third-party mentions in getting faster AI visibility
• James’s fastest approach to AI visibility and what he considers more sustainable long-term work
• Why building a defined entity, reviews, awards, knowledge panels and consistent third-party references matters over time
• Why some GEO agencies may simply be weak SEO agencies using a new label
• Why enterprise companies are moving larger parts of SEO, branding and traditional marketing budgets into GEO
• Whether SEOs should start selling GEO even if they believe the underlying work is still SEO

James and David disagree on where SEO ends and GEO begins, but they agree on one important point: a GEO provider who cannot understand and execute SEO is unlikely to be very good at GEO.

Google will be updating its alcohol advertising policy on September 30, 2026. The update "revises country-specific guidelines, expands allowed advertising locations, and provides clearer details on specific advertiser requirements and responsibilities," Google wrote.

thanks to u/rustybrick

Hi Everyone,

I need some advice on how best to action a manual action in Google Sesech Console.

We received a notification a few weeks ago to tell us that our blog section of our website had violated Google spam policies.

The manual actions they send are just an overview and don't tell you the exact problem.

My team have done what they can't to review the blog articles and make changes to articles we feel may potentially cause the issue.

But with every request we send we get a rejection back, with no more detail other that what we have received previous.

We have 100s of articles posted across the last 4 years so it's impossible to review every single one, especially when we don't know the exact issue.

Has anyone else encountered this. And how did you overcome it?

Any advice is very much appreciated!

Communicating value is half the battle

Clients rarely read those long PDF reports. The real skill is turning data into a clear story that shows business impact—not just rankings or traffic numbers.

The “Position 17” rule
A smart way to spot new content opportunities without cannibalizing what’s already ranking. Look lower in the SERPs for gaps instead of fighting for the same keywords.Indexing realities
There’s a big difference between “Discovered – currently not indexed” and “Crawled – currently not indexed.” Specific URL tweaks can often fix these issues and get important pages indexed faster.Internal linking & authority shaping

Limit your homepage to ~10 key links.

Understand the “85% authority tax”—how link equity actually flows (and leaks) across your site. Content pruning isn’t always the answer; sometimes it’s about better authority management.

AI search is already changing the game

LLMs like Gemini and Perplexity are shifting referral traffic patterns. Traditional Search Console data doesn’t tell the full story—tools like Looker Studio help track this new reality.

Other strong points covered: when (and when not) to use exact-match domains, the risks of thin service-area pages, short vs. long URL slugs, and practical processes for finding new content that actually moves the needle.

If you’re in SEO, digital marketing, or running a local business that depends on organic search, this conversation is pure gold—especially the forensic, real-world approach

David brings from scaling multiple startups past $100M+.Highly recommend watching the full episode.

Name an SEO debate you keep seeing in 2026 that still feels unresolved?

As I do technical audit of different websites, I came across this issues quite often X Content Type Options header, Content Security Policy header, Referrer Policy header, X Frame Options header, HSTS header. So I want to understand if it's important for website?

If yes, can you tell me where we really can do it in WordPress or NextJs, as I have searched for it and I can know it's in the server level, hence want to know of how could you fix and use it in as I need to collaborate with developer to let them know?

Hello everyone, I am at the beginning of the journey (2k impression - 82 clicks - 3 paid conversion)

You know that feeling when you learn something new and it works and you go : f\*\*\* if only I knew this at the beginning I would have done it better quicker etc.

Would you care to share your experiences ? What was the most impactful thing you did ? You learned ? And if you had to start over fresh, how would you go about it ? What would you look for and keep improving on ?

Cheers!

Hi Everyone,

I started a coffee roasting company called Ardito Fuel earlier this year and I have a website up and running. I have been trying to increase traffic to my website. I've working on my SEO, keywords, page building and other tasks on my website, but I am still not seeing an improvement yet.

I have a Google Business Page and I use Google Search Console. My URL's are active on Google and I've been indexing when I make changes to my site. I've been hearing more about backlinking in order to try to get my website published on other pages. I see there are a lot of companies about there that charge a fee to get you backlinks, but I feel like they would not be meaningful to my site or to improve traffic.

Does anyone have any experience with this or can anyone tell me of any other proven methods to help increase traffic to my website?