Core Pillars of AI SEO for Primary Position
When we talk about AI SEO with clients at Primary Position, we focus on four pillars.
1. Intent‑First Content Architecture
Instead of planning “keywords,” we plan questions and jobs to be done.
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Map journeys: informational, commercial, transactional, post‑purchase.
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Build topic clusters: a central pillar page with tightly related, supporting assets.
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Answer completely: definitions, how‑to steps, comparisons, objections, and next steps all in one journey.
The litmus test: if a human doesn’t need to go back to Google after reading your page, you’re aligned with AI SEO.
2. Semantic Depth, Not Keyword Stuffing
LLMs don’t need you to repeat a phrase 17 times to understand what your page is about.
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Cover related subtopics and entities naturally (tools, methods, use cases, pitfalls).
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Use variations and natural language questions, not robotic keyword repetition.
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Structure content with clear headings so both humans and models can skim and summarize.
If an AI summary of your page would read like “generic fluff about [topic],” you have a semantic depth problem.
3. Human‑Led, AI‑Supported Content Production
AI is a power tool, not a replacement for subject‑matter expertise.
Good uses:
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Research support (outline options, angle exploration, FAQs).
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Drafting first passes for non‑core content that humans then heavily edit.
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Repackaging a strong core asset into other formats (email, social, video scripts).
Bad uses:
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Publishing untouched AI drafts as “thought leadership.”
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Generating hundreds of near‑duplicate pages hoping one ranks.
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Using AI to spam every long‑tail variation of the same question.
Your brand voice, opinions, original data, and examples are what differentiate you in an AI‑crowded SERP.
4. Technical and UX Signals That Feed AI
AI systems are “reading” your site through the lens of classic technical SEO and user experience.
Priority items:
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Clean, fast, mobile‑first pages with solid Core Web Vitals.
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Logical internal linking that reinforces your topic clusters.
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Clear metadata and headings to guide summaries and snippets.
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Structured data where it actually helps (products, FAQs, how‑tos, org/author), not as a superstition checklist.
If your site is slow, broken, or confusing, AI won’t save you. It will see the same poor behavior signals your users show you.
How Primary Position Approaches AI SEO With Clients
A practical AI SEO engagement today looks less like “keyword research + blog posts” and more like:
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Landscape & intent analysis
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Identify how AI‑augmented SERPs present your space (AI overviews, answer boxes, People Also Ask, etc.).
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Map the intent and depth of the pages that actually surface.
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Topic and entity strategy
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Define core topics where you can realistically earn topical authority.
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Plan content around entities (people, tools, brands, processes) your audience genuinely cares about.
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Content system, not content calendar
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Build pillar pages, supporting guides, tools, and media that can be reused and repurposed.
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Use AI to speed up production where it doesn’t dilute expertise.
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Continuous learning loop
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Watch how AI summaries, overviews, and snippets describe your brand and pages.
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Iterate structure, copy, and internal links based on how search actually uses your content.
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The outcome isn’t just “more traffic”; it’s more qualified, ready‑to‑act visitors from searches where your brand deserves to show up.
Where to Start If You’re Behind
If you feel late to AI SEO, start small and strategic:
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Audit one high‑value topic area, not the whole site.
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Rebuild one pillar page to be the best, clearest answer in your niche.
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Use AI to help you identify missing angles, questions, and objections.
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Track how rankings, engagement, and assisted conversions change.
AI SEO isn’t about gaming new rules. It’s about aligning your site with how modern search actually understands and evaluates value. If you’re ready to re‑think your strategy around that reality, that’s exactly what Primary Position is built to help you do.
