New Additions

• LLMs.txt
• Schema
• Chunking
• “Clear writing” (like, what else would you be writing – in cryptics?)
• GEO
• LLMS are independent search engines
• Intent Matching
• Information Gain

Old

• Thin Content
• Word Count
• Outbound Citations
• Semantic SEO
• Meta-Descriptions
• Backlinks are dead

The post The Biggest Myths in SEO in 2026 appeared first on Primary Position SEO NYC.

I’ve spent the last few years watching AI SEO go from a niche curiosity to an industry-wide buzzword, and honestly, most of what gets sold as “AI SEO” still misses how LLMs and SEO actually work.

What I’m trying to do—through my work, writing, and community participation—is bridge the gap between old‑school, hard‑earned SEO and this new world of LLM-driven discovery.

From Classic SEO to AI-First Search

I came up in SEO the hard way: technical audits, brutal SERPs, and long campaigns where the only thing that mattered was whether traffic, leads, and revenue went up. That background forces me to treat “AI SEO” as an evolution of search, not a new circus trick.
When I talk about AI and LLMs, it’s always anchored in how Google, Bing, and other systems really retrieve, rank, and assemble answers—not in slide‑deck fantasies.

How I Think About AI/LLM SEO

My view is simple: there is no separate magic “LLM ranking algorithm” you can hack in isolation. AI answers sit on top of retrieval systems that still look a lot like search engines, just with more layers and more context. So instead of chasing shiny objects like LLMS.txt or thin “AI‑optimized” rewrites, I focus on the live retrieval layer—where you can actually move the needle on visibility.

In practice, that means:

• Mapping where AI overviews and answer units appear for your market.

• Understanding which questions LLMs keep collapsing into a single answer.

• Building content that matches real user intent and query patterns, not myth‑based checklists.

What I Try to Do in Public SEO Spaces

In SEO communities, my goal is to cut through the noise:

• Correct bad takes about “DA”, “topical authority”, and magical E‑E‑A‑T levers.

• Help people debug real issues—penalties, cannibalization, broken architecture—instead of selling them on hacks.

• Push the conversation toward user intent, information architecture, and real‑world constraints (budget, engineering time, market size).

I’d rather explain how something actually works, even if it’s messy or unpopular, than pretend there’s a one‑line trick you can paste into a meta tag.

Why My AI SEO Approach Looks Different

When I think about AI SEO, I treat LLM visibility as a retrieval and coverage problem, not a prompt‑engineering novelty act.
A big part of that is query fan‑out: instead of obsessing over one vanity keyword, I care about the entire cluster of “how to”, “best”, “vs”, “alternatives”, onboarding, pricing, and integration questions an LLM pulls together for an answer.
I also lean heavily into entity and multi‑domain presence—because modern systems don’t just look at your main site; they look at where you’re mentioned, cited, and discussed across the web.

Why I Write About This on My Blog

On my own blog, I’m trying to document how SEO and AI search really intersect, without the usual hype.
I don’t treat “AI SEO” as a separate channel; I treat it as SEO that understands how LLMs discover, retrieve, and assemble information in 2026.
If you care about long‑term visibility—in Google, in AI overviews, and in LLM answers—that’s the lens I use for everything I publish and every strategy I design.

The post Embracing life as the best AI SEO Consultant I can be in 2026 appeared first on Primary Position SEO NYC.

A “sample SEO strategy” is not a checklist of generic best practices; it is a small, opinionated system for getting one domain to win very specific searches in a realistic time frame.

Start with a narrow, winnable topic map

Instead of “doing SEO for everything,” pick a tight cluster where you can actually become the obvious answer. Define:

• One primary audience and problem (e.g., “SaaS founders looking for SEO help”).

• 10–20 core queries that describe that problem in plain language, pulled from real questions (Reddit, sales calls, support tickets).

• A short list of competitors already winning those SERPs so you can see what you are really up against.

Your first goal is to own that small cluster, not the whole universe.

Build a lean site that routes PageRank

Treat your site like a graph, not a brochure. For a sample strategy, you might have:

• 1 homepage that clearly states who you are, what you do, and for whom.

• 3–5 focused service pages, each mapped to a small bucket of related queries.

• 5–10 supporting articles that answer specific questions people actually ask, each pointing back to the relevant service page.

Internal links are how you route authority: every supporting piece should send PageRank toward the commercial pages you want to rank, using natural, descriptive anchors rather than “click here.

Publish fewer, sharper pieces

Most sample strategies fail because they overproduce forgettable content. A better approach is:

• One strong, clearly titled page per query bucket instead of five overlapping posts.​

• Content that actually matches how buyers talk: examples, pricing ranges, trade‑offs, implementation detail.

• Simple on‑page hygiene: unique titles, clean URLs, fast loads, obvious headings, and a direct answer high on the page.

Think “documents that deserve to exist,” not “blog calendar slots to fill.”

Design link opportunities into the plan

In this style of strategy, backlinks are not an afterthought; they are designed up front. For a new or mid‑tier site, that means:

• Creating at least one obvious “link bait” asset per quarter: a benchmark, teardown, tool, or guide others in your niche will naturally reference.

• Participating where your audience already hangs out (Reddit, industry communities, podcasts, small events) and using those appearances to point back to your best pages—not random blog posts.

• Doing a short list of deliberate outreach per asset (partners, newsletters, curators) instead of blasting a thousand cold emails.[

The aim is a small number of strong, relevant links into your core topic cluster, not a giant spreadsheet of low‑value placements.

Make it a 90‑day experiment, not a manifesto

A practical sample SEO strategy runs in 90‑day cycles:

• Month 1: lock the topic map, fix obvious technical issues, publish or overhaul the key pages.

• Month 2: promote those pages, pursue 10–20 high‑quality link opportunities, and add 2–3 new supporting pieces.

• Month 3: review Search Console and analytics, double down on pages that are moving, and consolidate or rework what is not.

At the end of the cycle, you decide: keep going on the same cluster, expand it, or retire it and pick the next one. That is what a real sample SEO strategy looks like—small, focused, and built around routes for authority, not just a nice checklist

The post A Sample SEO Strategy appeared first on Primary Position SEO NYC.

PageRank and backlinks are still the spine of SEO in 2026, but most of the industry has completely misunderstood what those words actually mean in practice.

PageRank is still the real engine

Underneath all the new terminology and dashboard metrics, search still runs on a simple idea: links are votes, and votes from important pages count more than votes from weak ones. That graph of links across the web is one of the few scalable, objective signals a search engine can rely on; everything else (quality systems, spam filters, UX layers) sits on top of it. Third‑party scores like DA or DR are only rough guesses at that hidden PageRank graph, not ranking factors in their own right. If you want rankings, you are ultimately trying to influence PageRank, not make a SaaS authority widget go up.

What actually makes a backlink valuable?

A useful way to think about links is to separate PageRank (raw link equity) from authority (PageRank plus relevance and trust filters). In theory, any crawlable link from a page in the index can pass PageRank, even if the page looks low‑quality to a human. In practice, how much authority moves through that link depends on how closely aligned the linking page and anchor context are with what your page is about. That is why a handful of highly relevant links from real, active pages usually beats a long tail of random or off‑topic backlinks.

Spammy vs “toxic” backlinks

Modern backlink tools popularized the idea of “toxic” links, but that framing does more harm than good. Real sites at scale always pick up spammy‑looking backlinks: scraper sites, automated directories, nonsense blogs, and long‑dead forums. Search engines already treat most of that as background noise; if a link never conferred meaningful PageRank, “removing” it cannot make you rank better. The genuine risk comes from link schemes that form a detectable pattern: paid networks, obvious PBN clusters, and repeating footprints across the same small pool of manufactured domains.

Buying backlinks vs earning durable authority

Buying backlinks can move the needle in the short term, especially in weaker niches, but it comes with a structural problem: once a pattern is caught, lift decays quickly and can reverse. There is no reliable way, for most site owners, to verify that a cheap “high‑authority link” offer is not part of a wider footprint that has already been fingerprinted. A safer long‑term approach is aggressive but clean link acquisition: PR, partner features, editorial contributions, high‑utility resources, and community participation that earns links people would place even if search engines did not exist. That still feeds PageRank, but through assets that can survive multiple algorithm cycles.

How to operationalize this on a real site

For a site like Primary Position’s audience, a PageRank‑first worldview turns into a few concrete operating rules:

• Treat every serious page as a router for authority: focused topic, clear internal links, and a path to pass PageRank into your actual money pages.

• Prioritize backlinks by relevance and real traffic, not just DR: if the page is on‑topic, indexed, and gets real visitors, it is a better bet than a random “high‑DA” list.

• Ignore most “toxic link” panic unless you know you have been in obvious paid‑link schemes; assume background spam is being discounted and spend your energy creating better targets for real links.

• Build a small, coherent network of assets—site, YouTube, LinkedIn, Reddit, niche communities—that all send links and branded demand back into the main domain.

Behind all the jargon, the reality is blunt: search still runs on a link economy, not a vibes economy. You can debate content “holism” and qualitative quality signals all day, but if your site has no meaningful PageRank flowing into it, you are arguing about interior design on an empty lot.

The post What about Backlinks and PageRank in 2026? appeared first on Primary Position SEO NYC.

Most content marketing doesn’t fail because the writers are bad. It fails because there is no actual SEO strategy beneath the calendar—no defined topics, no focus per page, and no plan for links. At Primary Position, a content marketing SEO strategy is built around one simple equation we keep repeating in: SEO = Relevance × Authority.

Relevance is the content itself: what the document is about, how clearly it matches a query, and how tightly it’s scoped. Authority is every external and internal signal that this document matters—backlinks, mentions, co‑citations, and internal links that concentrate PageRank instead of diluting it.

A real strategy is how you choose which topics to be relevant for and where you’re going to earn enough authority to matter.

Pick Topics You Can Actually Own

Most teams start with “what should we write this month?” and end up publishing generic, over‑competitive posts nobody remembers. Primary Position’s approach is closer to your multi‑domain, AI‑era strategy: pick a small set of topics your brand should own across web, social, and communities, then build into those.

For content marketing SEO, that means:

• Start with research, not titles. Use tools like SEMrush to map queries around your commercial themes (e.g., “local SEO services,” “content marketing SEO strategy,” “SEO positioning”).

• Group those queries into topic clusters that align with business problems, not just keywords.

• Decide which clusters belong on the main domain and which might live better as supporting assets on YouTube, Reddit, LinkedIn, or satellites.

The goal is not to “cover everything.” The goal is to concentrate effort where you can build topical authority instead of being a weak answer to dozens of disconnected topics.

Make Each URL Obvious About One Thing

On‑page SEO is just setting keyword focus—document name, title, headings—around what the page is actually about. You don’t win by stuffing; you win by being unambiguous.

For a content marketing SEO strategy cluster, each URL should:

• Use a clean, descriptive slug tied to the primary topic (no duplicate base keywords across multiple pages).

• Have a title and H1 that match that topic exactly, with variations handled by sections and supporting content instead of separate, competing pages.

• Open with 2–3 sentences that spell out what the page is for and who it is for, not a vague story intro.

Primary Position’s own posts on SEO positioning and strategy already do this: one page = one concept, laid out in clear sections and scannable structure. The same discipline should apply to every content marketing piece you expect to rank.

Design for Scrolling and Structure, Not Word Count

One of our most practical comments is that Google doesn’t enforce a specific document structure, but users do. The structure is for humans; the signals (engagement, scrolling, internal navigation) are what search and AI models end up “seeing.”

That’s why a PrimaryPosition‑style content marketing SEO asset:

• Uses short, one‑idea paragraphs and clear H2/H3 hierarchies so mobile users keep scrolling instead of bouncing.

• Leans on bullets, bolding, and sectioning to make the post feel like a playbook, not an essay.

• Integrates internal links in a way that pushes readers deeper into the cluster, rather than spraying links to every semi‑related page.

Content structure, in this model, isn’t about ticking “readability” scores. It’s about making it impossible for a serious reader to miss the next logical click.

Build Authority as Part of the Content Plan

The big point that keeps resurfacing is that content alone does not rank; content × links does. Being first to cover a topic doesn’t guarantee rankings if nobody links to it.

So your content marketing SEO strategy has to ship with authority baked in:

• Design a handful of “be the source” pieces per topic—original data, unique frameworks, teardown case studies—so other writers have a reason to cite you.

• Decide which communities and channels will see each asset: niche subreddits, LinkedIn, industry newsletters, conferences, or PR hooks.

• Use satellites and social profiles to co‑rank for the same problems, pointing back to the main domain as the canonical home of your explanation.

PrimaryPosition’s own best‑strategy content already reflects this “ecosystem” thinking: one strong brand domain, surrounded by supporting surfaces that all reinforce the same entity and topics.

Turn Content into a Scoreboard, Not a Calendar

Finally, a content marketing SEO strategy has to be measurable in a way that matches how Primary Position both think about SEO: as a system, not a set of hacks.

Instead of “we published 8 posts this month,” your scoreboard should answer:

• Which topic clusters grew impressions, non‑brand clicks, and assisted conversions this quarter.

• Which individual URLs picked up new referring domains and brand mentions.

• Where rankings are capped by authority (links) rather than relevance (content fit), so you know whether to invest in promotion or re‑writing.

That’s the big shift: content marketing stops being “let’s post more” and becomes “let’s increase relevance and authority around a small number of topics that actually move pipeline.”

How Primary Position Can Run This for a Client

If you apply this  view to a client engagement, the playbook looks like this:

Map the opportunity

Use Semrush and SERP analysis to define 3–5 core topic clusters tied to revenue, including one around “content marketing SEO strategy” for their niche.

Architect the cluster

Design a pillar and 5–15 supporting URLs per cluster, each with one clear focus and non‑overlapping slugs.

Ship structured, scannable content

Build pages with strict structure, strong intros, and internal linking that reinforces the pillar and service pages.

Execute authority campaigns

Plan link‑earning campaigns around a few “be the source” pieces, plus Reddit/LinkedIn plays where it makes sense.

Report like a strategist, not a copy team

Show cluster‑level movement in rankings, traffic, and revenue, and re‑allocate effort away from topics that can’t realistically win.

That’s a content marketing SEO strategy Primary Position can stand behind: opinionated, constrained, and rooted in the same relevance × authority model we keep teaching in public.

The post An SEO Content Marketing Strategy: Relevance × Authority, Not “Post More Blogs” appeared first on Primary Position SEO NYC.

Reddit has quietly become one of the most powerful levers for SEO, AI visibility, and demand generation—if you use it like a research lab and distribution channel, not a link dump. For Primary Position’s audience, the opportunity is to treat Reddit as both a place to learn what the market actually cares about and a place to earn durable search assets that co‑rank with your site.

Why Reddit matters for SEO now

• Reddit threads rank for an enormous range of mid‑ and long‑tail queries, especially “how do I…”, “best tools for…”, and “is X legit?” type searches.

• Those same threads are increasingly being pulled into AI answers, overviews, and “discussions and forums” modules.

• For brands, that means you can now show up three ways at once: your own pages, other people’s Reddit threads mentioning you, and threads you’ve contributed to or started.

If you ignore Reddit, you’re ignoring a channel that’s already shaping what prospects see when they Google your category and when they query AI tools.

Treat Reddit like a search engine with its own rules

If you show up on Reddit with “content marketing brain” turned on, you will get banned. If you show up with “searcher brain” turned on, you win.

• Study how people actually phrase questions: copy their language, not your keyword tools.

• Think in queries, not “topics”: every post title should sound like something someone would type into a search box.

• Accept that the “algorithm” is votes, comments, and mods—not your usual on‑page levers.

A useful exercise: pull 20–30 thread titles from relevant subreddits and ask, “If this was a blog title, what would the matching page look like?” That’s your content roadmap.

Pick the right subreddits and roles

Most brands try to brute‑force their way into the biggest subs and fail. You need a map and a role.

• Map 3–5 subreddits for each product line or ICP: one broad (e.g., r/SEO), one niche (e.g., r/TechSEO, r/SaaS), and one “adjacent pain” (e.g., r/Entrepreneur, r/smallbusiness).

• Decide your role in each: teacher, practitioner sharing in‑public experiments, or peer asking sharp questions.

• Avoid subs whose rules or culture are openly hostile to brands unless you’re ready to be extremely careful and patient.

Think of it the same way you think about link prospects: relevance and fit first, then volume.

Build a credible Reddit presence before you promote

Reddit is a reputation game. You’re not a brand there; you’re a person who either helps or doesn’t.

• Start with an individual account, not a logo. Fill the profile with a simple, human bio.

• Spend 30–60 days only answering questions and joining existing threads. No links, no “we wrote a guide,” no CTA.

• Aim to become “the person who writes the long, useful comment” on a small number of recurring topics.

One good internal heuristic: your first 50–100 comments should all be answers that would still be valuable if links were illegal.

 On‑Reddit SEO: how to write posts that rank

Once you have karma and trust, you can start creating original posts that serve both Reddit and search.

• Titles: write them like search queries with a hook. “How I increased demo requests 38% by fixing our internal search (deep breakdown)” beats “Here’s how I fixed our internal search.”

• Bodies: answer the whole question in‑thread. Use clear headings, step‑by‑step breakdowns, and real numbers where you can.

• Comments: treat top‑level comments like secondary content. You can add follow‑ups, mini frameworks, and clarifications that help the thread rank and convert.

If someone could read your post and never click anything else and still feel like they got real value, that post will travel.

How and when to drop links without getting burned

Links are a byproduct of value, not the point.

• Only link when the thing you’re linking to contains artifacts Reddit can’t easily host: full templates, detailed spreadsheets, interactive tools, long case studies with redacted details, etc.

• Always summarize the linked resource in the post itself. “Full breakdown with screenshots in the comments” is fine; “read my blog for the answer” is not.

• Be transparent about affiliation. “This is our tool” or “I wrote this guide” reads as honest; stealth self‑promotion gets you called out and reported.

A simple test: if you removed the link, would the post still be one of the best on that thread? If not, you’re not ready to link yet.

Use Reddit as a continuous SEO research feed

Primary Position’s clients can treat Reddit as a live, free user research panel that feeds the entire SEO program.

• Topic discovery: mine recurring questions, objections, and rants to identify content gaps and new clusters for your site.

• Language and framing: copy the exact phrases prospects use for H1s, intros, and product positioning, rather than inventing “brand speak.”

• SERP intel: track which Reddit threads co‑rank with you; study what’s being said about competitors and your category.

This turns “we think this is what people care about” into “we know this is what they complain about, compare, and ask for help with every day.”

Building a branded subreddit (when it actually makes sense)

A branded subreddit is not step one; it’s step five.

It becomes useful when:

• You’ve got a small but real audience who already talks about your product or category elsewhere.

• You can commit to being present: answering questions, posting updates, sharing breakdowns, and moderating clearly.

• You see repeatable themes that need their own home: implementation questions, teardown requests, or ongoing experiments.

Run it like a community, not a billboard: AMAs, office hours, teardown threads, and “build in public” experiments. Over time, that subreddit itself becomes an asset that can rank, be cited, and feed your broader content strategy.

Integrate Reddit into your SEO reporting

If Reddit is going to be a serious input to your strategy, it needs to show up in how you measure success.

• Track: how many relevant threads mention your brand, your competitors, and your core problems.

• Monitor: which Reddit URLs appear alongside your site for key queries and how often your content is referenced in those threads.

• Attribute: look at branded search lifts, referral traffic, and qualified signups that mention “I found you on Reddit” or describe stories you know came from a thread.

The story you want to tell isn’t “we got X links from Reddit,” it’s “we own more of page one and AI answers for the problems we solve, and Reddit is one of the paths people take to us.”

A simple Reddit SEO cadence for Primary Position clients

Here’s a lightweight, realistic weekly rhythm you can roll out:

• 2–3 days per week: answer questions in target subreddits; aim for one standout, saved‑worthy comment per session.

• 1 day per week: publish or update a deeper post (case study, teardown, experiment log) in the most relevant sub.

• 1 day per week: review which threads drove engagement, questions you didn’t fully answer, and ideas to turn into site content.

Over a quarter, this gives you dozens of high‑quality contributions, a handful of threads that can rank and attract links on their own, and a backlog of content ideas pulled directly from the market.

If you share a specific Primary Position client scenario (industry, ACV, and main channel mix), I can turn this into a tailored Reddit + SEO playbook with example post titles and weekly actions.

(We anonymously interviewed the Moderator of 2 of the largest SEO forums in the world and on Reddit)

The post Best Practices for using Reddit for SEO appeared first on Primary Position SEO NYC.

Most teams buy AI visibility tools, then barely change how they do SEO. The ones that win treat those tools as a second Search Console: a live map of how LLMs actually talk about their brand, competitors, and category, and then rebuild strategy around that.

Footnote: Disinformation in GEO Tool Marketing

Many GEO tool vendors are at the forefront of a massive campaign to pretend that GEO is not SEO and that LLMs are independent Search Engines that have their own ranking algorithms, databases and processes. This also made the hiring of an SEO Lead for Anthropic really interesting.

Start with use cases, not tool features

“AI visibility” tools are only useful if you’re clear on the problems they should solve for you. For most SaaS and B2B brands, that’s three things:

• Find out which questions in AI search you already “own,” where your brand is the default answer.

• See which competitors get mentioned instead of you when buyers ask the questions you care about.

• Discover pages and domains that LLMs keep citing so you can reverse‑engineer and out‑position them.

Before you even pick a platform, define these use cases and write down how often you’ll check them and how they’ll change your roadmap. If you can’t tie a view directly to content decisions, link building, or positioning, it’s just a dashboard.

Build a prompt set from real buyer language

AI visibility tools live and die on the prompts you feed them. Instead of generic “best AI visibility tool” or “AI SEO software,” mine actual phrasing from:

• Sales calls and discovery forms

• Support tickets and “why we chose/left you” notes

• Reddit, G2, Capterra, X threads in your niche

Turn that into a stable “prompt set” that represents how your ICP asks for help: “tools to see if ChatGPT mentions my brand,” “how do I check AI search visibility,” “track mentions in AI Overviews,” and so on. Treat this prompt set like your keyword list for the AI layer. You’re not just ranking for terms any more; you’re auditing how often and how well you appear as an answer.

Use AI visibility data to reshape your content map

Once you see which prompts you win, lose, or don’t show up for at all, you can redesign your content architecture. Typical patterns you’ll find:

• Prompts you want but don’t appear in: you likely have zero or weak “standard answer” pages on your site. Fix that by publishing one clear explainer, one comparison, and one “how to choose” piece around each gap.

• Prompts where you’re mentioned but not cited: you’re in the corpus, but your pages don’t look like clean sources—thin, scattered, or lacking structure and headings that match the question. Consolidate and harden these into a single strong resource.

• Prompts where competitors dominate: list the exact questions and build a small funnel for each—top‑level explanation, teardown of the wrong approaches, and a product‑adjacent walkthrough that shows your way of solving it.

Every quarter, update your topic map based on what the AI tools show you about questions, not just keyword volumes.

Make “answer‑first” pages your core asset

LLMs pull from content that looks like a neat, copy‑and‑pasteable answer. That doesn’t mean “AI‑written fluff”—it means pages that:

• Start with a direct, one‑paragraph answer to the question in plain language.

• Use clear subheadings that mirror the way people phrase follow‑ups.

• Include one or two simple, scannable frameworks (checklists, steps, tables) that can be easily summarized.

• Tie in concrete examples from your product and customers so you’re not just repeating generic advice.

Your AI visibility tool will show you which pages get cited or mentioned most often—use that to reverse‑engineer your own template. Then retrofit your older “bloggy” content into this answer‑first pattern.

Treat citations like links (for the AI layer)

In classic SEO, you chase links and authority. In AI visibility, you chase citations and inclusion in the training diet for “best answers.” For each high‑value question where your brand is missing, use the tool’s data to identify:

• The articles, docs, and listicles that LLMs keep referencing.

• Aggregators and analysts that define the “shortlist” of tools in your category.

• High‑trust educational sites that show up whenever someone asks how to solve your core problem.

Then build a small outreach and content program aimed specifically at those sources: contribute better examples, data, or mini‑frameworks; offer quotes; create companion pieces their audience will value. You’re essentially doing digital PR and guest content, but with the explicit goal of becoming part of the reference set AI systems rely on.

Use AI visibility to debug UX and positioning

AI answers don’t just tell you whether you’re visible; they tell you how you’re framed. If tools keep summarising you as “a generic SEO platform” while calling competitors “AI visibility specialist” or “LLM analytics leader,” you have a positioning problem, not just a content gap.

Use what AI systems say about you to:

• Rewrite your one‑line description, homepage hero, and key product pages so they consistently express the positioning you want.

• Align your nav labels, pricing page copy, and feature names around the category and use cases you want to own.

• Update your external profiles (directories, review sites, partner pages) so the same short description appears everywhere.

Over time, this consistent framing makes it easier for LLMs to understand who you are and slot you into the right mental bucket when they answer.

Close the loop with analytics and product

The best teams don’t stop at “we improved our AI visibility score.” They connect the dots between AI mentions, site sessions, and pipeline. Even if attribution is squishy, you can still:

• Watch for rising branded and “brand + AI” searches that correlate with improved AI visibility metrics.

• Track signups or demo requests that mention “found you via AI” in free‑text fields, chat, or sales notes.

• Compare performance of pages and features you’ve deliberately optimised for AI‑style questions against the rest of your content.

When you see a question where you just gained visibility and you know it maps to a high‑value feature or persona, feed that back into your product marketing and onboarding. Turn those questions into in‑app tours, checklists, and playbooks so that win shows up in retention and expansion, not just in dashboards.

If you tell me which AI visibility tool you’re using (or considering) and what your product does, I can turn this into a concrete 90‑day plan: which prompts to track, which pages to build or refactor first, and how to measure whether your AI visibility is actually moving revenue.

The post Best SEO Strategies for AI Visibility Tools​ appeared first on Primary Position SEO NYC.

Introduction

A modern B2B SEO strategy starts long before someone hits your homepage. It begins where your buyers complain, compare, and troubleshoot: on Reddit, YouTube, X, in Slack communities, and in their calls with your sales team. If you treat those places as the raw source material for everything you publish, keyword research, content strategy, signup flows, and customer journey design all snap into place as one system instead of disconnected tactics.

What is a B2B SEO Strategy?

A strategy is really a statement of where you want to be and how you want to get there. This document goes a little beyond it but it does so to give you an idea of the depth we reach into.

In an ideal world, an SEO Strategy would outline

• Where you are today
• Where you need to be
• How you’re going to get there
• What you need to get there
• Who you’ll need

What does a typical SEO strategy look like

As the world’s fastest growing XXXX SaaS company,

Applicable Vertical Markets

• AI SEO Strategy
• Cybersecurity SEO Strategy
• SaaS Cybersecurity Strategy
• Cloud/Networking/IT SEO Strategy
• Marketing Agency SEO Strategy
• Professional Services
  • Legal Services
• Medical
  • Doctor
  • Dentist

The post Your Guide to writing a B2B SEO Strategy appeared first on Primary Position SEO NYC.

These are the only sources that provide direct information on how Google’s algorithms work:

1. Google Search Central:
   1. Formerly “Webmasters,” this is the ultimate hub. It hosts the SEO Starter Guide, which covers the bedrock of crawling, indexing, and serving.
2. Google Search Essentials:
   1. (Formerly Webmaster Guidelines) These are the “laws” of Google. If you violate these (e.g., spamming or sneaky redirects), your site can be de-indexed.
3. Search Console Training (YouTube)
4. Google’s “How Search Works”: A more visual, high-level guide that explains the philosophy behind their ranking systems.

The Google SEO Documentation

The post An SEO’s Guide to Google Search Ranking Systems Documentation appeared first on Primary Position SEO NYC.

The best SEO strategy is simple to describe and hard to execute: one strong brand domain as the “mothership,” supported by a small, deliberate network of focused EMD/KID satellite sites, YouTube, Reddit, LinkedIn, and other social profiles that all co‑rank together and reinforce one entity.

Instead of trying to get one URL into position one, you build an ecosystem where your brand shows up across multiple results and surfaces for the same problem: web pages, videos, social posts, and community discussions.

One brand, many entrances (primary domain and satellites)

Think of your primary domain as the home of your brand and your entity. It is where search engines, AI systems, customers, journalists, and investors should see the clearest, deepest view of who you are and what you do.
That main domain should own your core topics and categories, carry your strongest content and case studies, accumulate most of your links, PR, and mentions, and be the default destination when anybody searches your brand.
Extra domains do not replace this; they create more ways to enter it.

Exact‑match (EMD) and keyword‑in‑domain (KID) satellites still matter, but only when they are real sites with a clear job. They no longer “hack the algorithm,” but they still shape how humans read SERPs and choose what to click.
They work best in situations like highly specific commercial intent (“[city] [service]” where the whole site is tuned for one offer), vertical or geo spinoffs (narrow sub‑brands of a broader main brand), and conversion‑first funnels (lean, focused landing‑page style sites).
They are a bad idea when they are thin doorway pages, multiple domains all chasing the same broad term with the same angle, or sites that never get updated, never get links, and quietly die.

If a satellite is not worth building as a real, maintained property with its own value, it is better to 301 the domain into the main site.

• Topical authority across multiple domains requires governance. You need a topic map that says, for each topic, whether it belongs on the main domain, on a satellite, or is split by angle.
• A practical split is: the main domain owns broad, educational, and strategic topics (guides, frameworks, comparisons, “what is,” “how it works”), while satellites own narrow, high‑intent situations (“emergency plumber in Queens,” “AI SEO consultant NYC,” “B2B schema markup agency”).
• This allows the main site to become the encyclopedia and authority, while satellites act as specialized landing experiences that convert very specific demand without cannibalizing the main site.

Internal linking between properties must look like real business relationships, not a link wheel. Satellites should link back to the main domain where it naturally makes sense (about pages, “operated by” notes, educational links), and the main domain should reference satellites only where it genuinely helps the user (e.g., “we also operate [site] for [very specific use case]”).
What you want to avoid is every site linking to every other from every page, over‑optimized anchors, and no obvious business reason for the cross‑links.
Treat each satellite as a real business unit within your ecosystem, not a convenience for PageRank sculpting.

Research, local and geo/AI SEO, content and automation

The multi‑domain, multi‑channel strategy only works if the operational layer is solid. That means keyword research, competitor analysis, local and geo/AI strategy, content production, and automation are all aligned with the same topic map and domain plan.

Keyword research and competitor analysis

Start every cluster and every potential satellite with research, not with domain ideas.
Map keywords to entities and problems, not just search volumes. Group queries by topic, intent (informational, commercial, transactional, post‑purchase), and geography, and decide whether their best home is the main site, a satellite, YouTube, Reddit, or LinkedIn.
Analyze who currently owns the SERP: brands, aggregators, marketplaces, local small businesses, Reddit threads, niche blogs, YouTube channels, LinkedIn posts. That tells you whether your entry point should be a deep guide, a lean satellite, a video, or a community answer.
Deliberately look for co‑ranking opportunities: if Reddit or LinkedIn are consistently ranking, plan for your content to appear there and on your own sites, instead of fighting only in traditional organic listings.

Local strategy and Geo / AI SEO

Local and geo‑driven queries are where EMD/KID, entities, and AI visibility intersect.

1. Use the main domain for scalable local architecture: location hubs, location/service matrices, and city‑level pages that inherit authority from the brand. That keeps most of your link equity and entity strength unified.
2. Use satellites for ultra‑specific geo offers where a standalone, hyper‑local experience is likely to convert better or differentiate more clearly (for example, one metropolitan area that is strategically critical).
3. Design all local content with AI search in mind. Make sure local pages and satellites clearly answer who you are, what you do, where you operate, who you serve, and why you are qualified, so AI systems can confidently pick you up for AI overviews and conversational answers.

Content production and automation

Scaling this system requires process and automation, not heroic one‑off efforts.

Build reusable templates for service pages, local pages, satellite landers, blog hubs, and YouTube descriptions so every new asset starts from a proven structure. Use AI to assist with outlines, clustering, FAQs, and first‑pass drafts, but keep humans in charge of experience, judgment, examples, screenshots, and final decisions about what is published and where it lives.

Automate monitoring and updates: dashboards and alerts that track rankings, impressions, clicks, and brand mentions across main domain, satellites, YouTube, Reddit, and LinkedIn. This lets you prioritize refreshes, expansions, and consolidations based on actual performance.

Co‑ranking across YouTube, Reddit, LinkedIn and the web

YouTube, Reddit, and LinkedIn are not “supporting channels”; they are parallel search and recommendation systems that regularly appear on page one and feed training data into AI models. A modern strategy aims to co‑rank across all of them for the same topics.

YouTube should be treated as a parallel domain. Its topic map should mirror your web topic map and your satellite architecture: if the main site has an “AI SEO agency” hub and a satellite targeting “AI SEO NYC,” your channel should have corresponding videos and playlists.
Video titles should echo real queries, thumbnails should reflect the problem space, and descriptions should link in the first lines to whichever property is the best next step (main guide, satellite offer, or a specific case study).

Chapters should map to sub‑questions that line up with H2/H3s on your pages, improving both user experience and AI chunking.

Reddit is where demand, proof, and AI training data converge. For topics where Reddit already ranks, your goal is not to outrank it but to be inside it.
Find threads and subreddits relevant to your vertical and participate as a helpful expert, not as a spammer. Answer questions in depth and, when appropriate, reference your guides, tools, and case studies. Over time, those mentions send referral traffic, shape sentiment, and increasingly show up in AI‑generated answers.

LinkedIn is where you own the expert narrative.

Use posts, carousels, and articles to explore the same topics your sites and YouTube cover, but with more story, opinion, and “how we did this for a client” framing. Link back selectively to main‑domain hubs, satellite landers, and videos where deeper detail or a demo lives.
Keep entity signals consistent: your name, brand name, domains, offers, and visual identity should line up across profiles, banners, and about sections.

A practical co‑ranking blueprint for one high‑value topic looks like this:

1. First, the main domain publishes the definitive guide (your topical authority anchor).
2. Second, a focused EMD/KID satellite hosts a conversion‑optimized experience for the highest‑intent slice of that topic (for example, one city, one sector, or one offer).
3. Third, your YouTube channel publishes a matching deep‑dive video with chapters that correspond to sections in the guide, and the description links to both core assets.
4. Fourth, you actively participate on Reddit and publish a short series on LinkedIn around that same problem, referencing your main and satellite content where appropriate.
5. Finally, you measure success not as “one URL at position X,” but as “how much of page one we own across web results, videos, Reddit, and LinkedIn, and which of those entries is driving the best leads and revenue.”

The underlying principle is consistent: make it easy for humans and algorithms to see that you understand a problem deeply, that you talk about it consistently across formats, that you show up wherever people search and discuss it, and that there is one clear home—your primary domain—where the full story and relationship live.

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