On this week’s episode of the Area of interest Pursuits podcast, Brian Winum and I focus on superior authority-building for Google, AI visibility, affiliate websites, and content material methods that may scale with out counting on massive guide groups. Brian is a repeat visitor, and his newest technique builds on the authority stacking method he shared two years in the past.
This can be a dense, high-level dialog for website house owners, SEOs, and affiliate entrepreneurs who like technical methods. We cowl WP multi-site networks, subdomain authority, LLMS.txt information, tiered hyperlink constructing, entity silos, EEAT, cryptographic belief layers, and the AI workflows Brian now makes use of to get extra accomplished with fewer folks.
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Brian’s Background and Present Focus
Brian is an company proprietor based mostly in Lengthy Island, New York. He’s a accomplice in MAXBURST Net Design and MAXPlaces Advertising and marketing, two companies which have been round because the mid-2000s.
That provides him roughly 20 years of expertise throughout net design, e-commerce, nationwide search engine optimization campaigns, affiliate websites, and owned net properties. He additionally teaches programs and makes use of AI closely in his present work.
His work as we speak spans a number of areas:
- Company consumer campaigns
- Affiliate website networks
- AI-assisted growth
- Authority-based search engine optimization methods
- Content material and hyperlink automation
Brian’s present technique is not a clear break from what he shared on his first podcast look. It is an expanded model of the identical authority-first system, with new layers added for AI platforms and fashionable indexing challenges.
His Authority Stack That Nonetheless Works
Two years in the past, Brian talked by means of a system constructed round EEAT, authority stacking, and belief indicators. On the time, his affiliate-style websites had survived the Useful Content material Replace and several other Google core updates that broken many related websites.
That older system included detailed writer profiles, social indicators, Google Information approval, Reddit polls, knowledgeable enter, and content material that would appeal to engagement early. Brian says he nonetheless makes use of almost each micro-strategy from that interval. A number of items stay a part of his course of:
- Deep writer or model profiles
- Social proof from exterior platforms
- Authentic information from polls
- Skilled quotes and commentary
- Authority indicators throughout the online
- Content material designed to draw early engagement
The largest change is not the inspiration. It is the best way Brian now packages these indicators for Google, AI methods, and customers who’re nearer to creating a purchase order choice.
The Monetization Shift Away From Show Adverts
Brian’s income combine has modified since his final go to. Show advert earnings was once a bigger driver throughout many content material websites, together with a few of his personal properties.
Now, show advertisements sit decrease within the combine. He is nonetheless incomes from content material, although the emphasis has moved towards extra centered monetization. His present income stack leans towards:
- Visitor publish earnings
- Amazon-style affiliate income
- Product-focused affiliate provides
- Service-based affiliate provides
- Industrial pages with a tighter intent
This shift additionally modified his content material technique. As a substitute of publishing massive volumes of broad informational posts, Brian is creating deeper belongings geared toward middle-of-funnel and bottom-of-funnel visitors. Which means fewer skinny question-and-answer posts. It additionally means extra content material constructed round product analysis, comparisons, purchaser wants, and authority indicators that assist belief.
WP Multi-Website Community Technique
The largest change in Brian’s system is his use of WP multi-site networks. He known as this one of many essential drivers of success in his present method.
As a substitute of constructing a single web site on a single area for each undertaking, Brian builds subdomain-based WordPress multisite networks. A single essential area can assist a whole bunch of tightly centered subdomains. For instance, a broad house companies area might embrace subdomains for:
- Kitchen companies
- Yard companies
- Roofing companies
- Patio furnishings
- Outside grills
- Cordless energy instruments
Brian stated he can run 700-800 subdomains on a single area. This offers him a solution to check many niches with out shopping for numerous separate domains. Every subdomain can concentrate on a slender subject. On the similar time, the entire community can profit as particular person subdomains achieve traction.
The Indexing Benefit of Subdomains
Indexing has change into a significant downside for a lot of website house owners. Brian says his subdomain-based WP multisite setup has helped him overcome that challenge. He shared an instance from PressClone, one among his press-release-style networks. In response to Brian, the community had round 100 distinctive press releases, whereas Google had listed roughly 5,000 to 7,000 pages from it.
Which means syndicated or duplicate content material throughout subdomains was nonetheless getting listed at scale. Brian’s learn on that is that Google seems to deal with the subdomains with sufficient separation to offer them particular person worth.
The workflow additionally saves time. Brian stated he can clone a website to a brand new subdomain in lower than 30 seconds, then make key phrase swaps and have a brand new property operating inside minutes. That pace issues as a result of it permits him to check markets shortly. If one subject performs higher than one other, he can lean into it with out rebuilding the entire system.
What Is the Position of LLMS.txt Information
A serious a part of the interview centered on LLMS.txt information. Brian is aware of many individuals in search engine optimization are skeptical of them since they don’t seem to be a formally accepted commonplace like robots.txt. His level is {that a} primary LLMS.txt file is unlikely to do a lot. He compares it to a generic plugin schema, the place the default output isn’t ample to supply a measurable end result.
Brian’s information go a lot deeper. He makes use of customized header and footer content material to elucidate the model, companies, viewers, authority indicators, and exterior proof behind the location. His LLMS.txt setup can embrace:
- Model summaries
- Product and repair particulars
- Very best buyer profiles
- Quotation sources
- Awards and mentions
- Google overview summaries
- Necessary backlinks
- Supplemental AI information
He additionally builds subdirectory-level information for sections resembling companies or merchandise. That provides every main a part of the location its personal centered information layer.
The Crawl Path System Behind the Information
Brian does not merely publish LLMS.txt information and hope AI bots discover them. He creates crawl paths that direct bots to the information from a number of areas throughout the location.
He talked about robots.txt, header meta tag injection, XML sitemaps, inner file hyperlinks, and supplemental markdown or JSON information. The aim is to make the AI-facing authority stack simple to search out. The supplemental file stack might embrace:
- Evaluate profile information
- Model snapshot information
- Quotation information
- Backlink information
- Service information
- Product information
Brian stated he has seen visitors hitting these information in server logs. He additionally reported will increase in AI referrals and mentions after adopting this setup. The bigger thought is easy, regardless that the execution is complicated. Brian needs AI methods to obtain the identical model and authority indicators he has already constructed for search engines like google.
Tiered Hyperlink and Entity Silo Mannequin
Brian’s hyperlink constructing has additionally change into extra structured. He now talks about constructing entity silos by means of tiered hyperlinks.
The cash website incorporates the primary content material, schema, LLMS.txt setup, and core authority indicators. Then tier-one hyperlinks assist the location by means of interviews, listicles, visitor posts, press mentions, and different third-party articles.
After that, tier-two hyperlinks assist the tier-one hyperlinks. One instance he gave was publishing a press launch a couple of third-party interview, then syndicating it throughout a whole bunch of subdomains. The construction may appear to be this:
- Cash web page with deep topical content material
- Tier-one interview or function article
- Tier-two press launch about that function
- Schema added to supporting pages
- Entity references are repeated throughout the chain
Brian’s aim is to take away ambiguity. The content material, schema, LLMS.txt information, and hyperlinks all reinforce the identical individual, model, product, or service entity.
Up to date EEAT Focus
EEAT has been central to Brian’s method for years. Brian’s early expertise with Google Information approval gave him an in depth have a look at the varieties of indicators Google needed from trusted publishers.
He nonetheless thinks belief and authority indicators matter. The distinction is that he is now putting extra emphasis on real folks, authentic content material, and visual proof.
Brian stated he does not rely as a lot on pretend writer personas as he did up to now. They will nonetheless work in some instances, although he sees higher worth in utilizing folks with a public historical past and third-party validation. His present EEAT stack consists of:
- Authentic reporting
- Skilled commentary
- Actual folks behind content material
- Third-party mentions
- Awards and citations
- Clear authorship
- Model consistency
He is additionally going deeper on the web page stage. As a substitute of broad surface-level content material, he needs every necessary web page to point out expertise, experience, and a transparent purpose to belief the supply.
The Cryptographic Belief Layer
Probably the most technical elements of the dialog was Brian’s dialogue of cryptographic belief layers. That is his manner of claiming authorship and creating timestamped proof round revealed content material.
Brian needs a transparent file of who revealed a bit of content material and when it appeared on-line. That issues extra as AI-generated content material turns into extra frequent throughout the online. His course of consists of a number of indicators:
- DMCA badge timestamping
- Web Archive submission
- Wayback Machine archive hyperlinks
- Archive schema markup
- Blockchain-based certificates
Brian talked about ScoreDetect as one of many instruments he makes use of for blockchain certificates. He stated the service is round $10 monthly for 100 certificates. The aim is each safety and belief. By timestamping content material and tying it again to an writer or model, Brian is creating one other layer of proof round originality.
His AI Workflow Behind the Operation
Brian used to want extra guide assist to run these methods. At the moment, AI and automation have changed a lot of the work as soon as dealt with by VAs or workers.
He shared one hanging instance of the dimensions these methods as soon as required. One in every of his contacts beforehand ran a community of about 14,000 web sites and later exited for $29 million.
Moreover, Brian shared customized abilities, cron jobs, in a single day workflows, and AI instruments for researching, creating, publishing, and reporting. This permits him to handle bigger methods with fewer folks concerned. A number of the duties now dealt with by means of AI embrace:
- Visitor publish inquiry replies
- Value checklist supply
- Type assortment
- Cost movement dealing with
- Content material creation
- Hyperlink supply
- Website analysis
- Morning standing studies
One instance was his visitor publish gross sales course of. An inquiry is available in, AI sends the pricing, the client fills out a type, fee is made, content material is created, and the approval hyperlink is shipped with out Brian manually managing the trade.
The AI-Generated Consensus Technique
Brian additionally shared an uncommon AI use case round model dialogue. He has been constructing Reddit-style websites that create threaded discussions round a product, service, or model.
These aren’t Reddit. They’re his personal dialogue platforms, full of AI-generated subjects and replies. The discussions can cowl:
- Product execs
- Product cons
- Model comparisons
- Service questions
- Interview references
- Use case debates
The intention is to create extra dialogue round an entity. Brian needs these discussions so as to add context and assist the broader authority system he’s constructing throughout content material, hyperlinks, information, and schema.
Ultimate Ideas
This episode with Brian Winum is likely one of the extra superior search engine optimization conversations we now have had on the podcast. It strikes shortly, and several other sections might simply change into full episodes on their very own.
The central takeaway is that Brian is not counting on one tactic. His system combines authority stacking, subdomain networks, AI-facing information, tiered hyperlinks, entity indicators, authorship proof, and automation. The complete system consists of:
- WP multi-site subdomain networks
- Deeper industrial content material
- LLMS.txt information and supplemental AI information
- Tiered hyperlink constructing
- Entity silos
- EEAT indicators
- Timestamped authorship
- AI-powered operations
Some listeners could also be skeptical of elements of the system, and Brian says he expects that. His view is that the outcomes are coming from the complete stack, not from any single file, hyperlink, or plugin.
For website house owners, affiliate entrepreneurs, and SEOs, this dialog is price revisiting greater than as soon as. The concepts round subdomains, LLMS.txt information, entity silos, and AI-assisted operations supply an in depth have a look at the place superior authority constructing could also be heading.
