Executive Summary
The 3-minute version:
AI SEO has fundamentally changed the game. We’re no longer optimizing for human searchers—we’re optimizing for AI agents that filter information before humans see it.
ChatGPT, Perplexity, Claude, Google AI Mode—these platforms won’t cite your content unless you prove you’re authoritative. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and Domain Authority are now gatekeepers, not ranking factors.
Unlike traditional SEO where tactical optimization moved the needle, AI SEO requires you to actually BE authoritative.
The opportunity: Most companies haven’t figured this out yet. You have a 2-3 year window to build authority infrastructure that competitors can’t replicate quickly. Authority takes time—starting today creates a competitive moat.
Real proof: Search “international AI and SEO expert.” I rank #1 organically AND get cited in Google’s AI Overview. Not by luck—by systematically building E-E-A-T and Domain Authority since November 2022.
What you’ll learn:
- Why AI agents evaluate authority before citing (the trust chain)
- How E-E-A-T and Domain Authority work as one integrated system
- The systematic approach to building both through AI content marketing
- Measurement frameworks for AI SEO optimization
- Mistakes that waste resources
Ready for deeper insights? I’m hosting the quarterly AI SEO & GEO Online Summit, where some of the world’s top industry experts break down what’s working in AI SEO and GEO right now—from search engine evolution to agency workflows to cross-platform tracking. 100% free, pure education, live Q&A.
Now let’s get into the framework…
We’re Not Marketing to Consumers Anymore—We’re Marketing to Their Agents
I recently talked with an AI implementation expert building platforms for digital agencies. Mid-conversation, he said something that stopped me:
“The whole martech industry doesn’t realize we’re not marketing to consumers anymore. We’re marketing to their agents.”
He’s right. And most marketers haven’t grasped what this means for AI SEO.
Search “AI SEO expert” in Google. My personal website ranks #1 organically. I also get cited in Google’s AI Overview. Not because I gamed an algorithm—because I understood something fundamental: AI search platforms evaluate trustworthiness before citing sources.
I’ve been doing SEO since the BackRub days. I’ve adapted to every algorithm update over the past three decades. But this shift is different. This isn’t another update to optimize around. This is a complete paradigm change.
Here’s what’s happening: Someone asks ChatGPT a question. The AI provides an answer. But the AI’s reputation depends on the quality of its citations. If ChatGPT cites unreliable sources, users stop trusting ChatGPT. Same with Perplexity, Claude, Google AI Mode.
This creates a filtering mechanism more selective than traditional search ever was. Google could show 10 blue links and let you decide which to trust. AI agents must make that trust decision FOR users before generating answers.
Which means E-E-A-T and Domain Authority aren’t just ranking factors anymore. They’re the admission price for whether AI systems will even consider citing you.
Traditional SEO lets you compete through tactical optimization. AI SEO requires you to actually BE authoritative, not just appear authoritative.
The Trust Chain: Why AI Agents Are Pickier Than Google Ever Was
Here’s the mechanism most AI SEO strategies miss:
The Agent Trust Chain:
- Users trust AI agents to filter and recommend information
- If agents cite unreliable sources, users lose trust in the agent
- Therefore, agents are MORE selective about sources than traditional search
- This makes authority signals existential requirements for AI SEO optimization
Think about it from the AI’s perspective. Ask ChatGPT for medical advice—it won’t cite a random blog just because it has the right keywords. It cites Mayo Clinic, WebMD, and peer-reviewed journals. Sources with unquestionable authority.
Same across every industry. Ask Perplexity about AI SEO—it cites established experts, not whoever published most recently. Ask Claude about business strategy—it prioritizes authoritative publications and recognized thought leaders.
This is fundamentally different from traditional SEO. You could compete through tactical optimization—better keyword targeting, technical improvements, and link building. Those tactics moved you from page 3 to page 1 even without particular authority.
AI SEO doesn’t work that way. You can’t trick an AI agent into citing you if you lack genuine authority signals. The bar is higher because the stakes are higher—AI platforms stake their entire reputation on citation quality.
Back in 2021, we lost 80% of our traffic due to a Google core update. I spent one day panicking, then pivoted to develop what became our Micro-SEO Strategies℠. When ChatGPT launched in November 2022, I immediately recognized this wasn’t just a new tool—it was a fundamental shift in AI content marketing.
While other SEO experts worried about AI-generated content penalties, I focused on understanding what makes AI systems cite sources. That early insight is why I rank #1 for “international AI and SEO expert” today and get cited in AI Overviews.
Authority is harder to fake, which means it creates more sustainable competitive advantages. Good news for companies willing to do the work.
What E-E-A-T and Domain Authority Actually Mean (And Why They’re Connected)
Most marketers know these terms superficially. Let’s go deeper to understand how they work as one integrated AI SEO infrastructure.
- Experience: First-hand knowledge through case studies, original research, and real-world examples. Not theory—actual lived experience.
- Expertise: Deep understanding shown through comprehensive coverage, technical accuracy, and nuanced insights. The gap between surface explanation and genuine mastery.
- Authoritativeness: Recognition from peers, citations from other experts, speaking engagements, media features. What the industry says about you, not just what you say about yourself.
- Trustworthiness: Transparency about who you are, accurate information with proper citations, secure infrastructure, and clear contact information. The foundation that makes everything else matter.
Here’s the critical insight: These aren’t four separate optimization factors—they’re interconnected signals that Google and AI systems triangulate to determine genuine authority.
When I teach at the University of Strasbourg’s TCLoc Master’s Program, that single activity demonstrates all four:
- Experience (three decades doing this work)
- Expertise (universities vet instructors rigorously)
- Authoritativeness (academic recognition validates expertise)
- Trustworthiness (my identity and credentials are verified)
Domain Authority is a third-party metric (developed by Moz and tracked by SE Ranking) that predicts how likely your website is to rank in search results. Measured on a 100-point scale, primarily based on backlink profile quality and quantity.
DA isn’t a direct Google ranking factor. But DA correlates strongly with what Google values because both measure the same thing: how much the wider internet trusts your domain.
Research shows AI Overviews overwhelmingly cite sources with Domain Authority scores of 70+. High-DA domains dominate AI citations because these are sources AI systems learned to trust through training data and real-time analysis.
The Connection That Changes Everything:
Every action that builds E-E-A-T also tends to build Domain Authority, and vice versa.
Get published on an authoritative industry site:
- Builds E-E-A-T: Demonstrates expertise recognition
- Builds Domain Authority: Creates high-quality backlinks
Speak at industry conferences:
- Builds E-E-A-T: Establishes you as an authority
- Creates citation opportunities: Conference coverage builds DA
Produce original research:
- Builds E-E-A-T: Shows genuine expertise and first-hand experience
- Earns backlinks: Other publications cite your research, improving DA
Engage in digital PR:
- Builds E-E-A-T: Increases brand recognition and expert positioning
- Builds Domain Authority: Media backlinks from authoritative publications
This integration means you don’t need separate budgets or initiatives. One strategic AI SEO infrastructure serves both goals simultaneously. Most agencies tell clients they need an E-E-A-T strategy AND a link building strategy AND a digital PR strategy. That’s three budgets, three teams, three KPI sets.
The reality? One integrated authority-building infrastructure for AI SEO optimization that manifests multiple measurable ways.
A Short Window: Why Starting Now Creates Competitive Moats
Companies have roughly 2-3 years to build authority infrastructure before AI search becomes completely dominant. After that window closes, catching up becomes exponentially harder.
The Current Landscape:
- Google’s AI Mode, rolling out gradually, will eventually become default search experience
- ChatGPT processes hundreds of millions of searches monthly
- Perplexity, Claude, and other AI platforms gaining significant daily users
- 61% of Gen Z and 53% of Millennials now use AI tools instead of traditional search
This isn’t temporary—it’s a generational behavior shift.
Why Two Years Matters:
Authority takes time. You can’t create high-Domain Authority overnight. E-E-A-T signals require consistent demonstration over months and years. This creates a natural competitive moat—companies starting today will have 2-3 years of authority accumulation before AI search dominates.
What goes into building real authority:
- Publishing track record (consistency over time)
- Backlink profile growth (gradual through genuine value)
- Speaking engagements and media features (relationship building)
- Original research and thought leadership (time to produce and gain recognition)
- Verified expert profiles across platforms (Google Knowledge Graph, LinkedIn)
None of this happens fast. This is exactly what makes it valuable for AI for SEO strategies. If authority could be built quickly, it wouldn’t serve as an effective filter for AI systems.
The Compounding Effect:
Authority builds on itself. Your first digital PR placement makes the second easier—now you’re “featured in [Publication X]” which increases credibility. Your first speaking engagement creates video content that demonstrates expertise, builds E-E-A-T, and leads to more invitations. Your first AI Overview citation drives qualified traffic, builds social proof, and increases the likelihood of future citations.
During that conversation with the AI implementation expert, I mentioned: “People are finally starting to get that if they don’t implement AI, they’re going to go out of business.”
He understood it from the technology side. But the same principle applies to authority-building in AI SEO. Companies waiting to see how AI search evolves will find themselves 2-3 years behind competitors who have already started building authority infrastructure.
I started building my E-E-A-T infrastructure in November 2022 when ChatGPT launched. That three-year head start is why I dominate my category today. Not because I’m smarter—because I understood the timeline and started earlier.
The Authority Building Infrastructure: How E-E-A-T and DA Work Together
Let’s get practical. How do you actually build this integrated authority infrastructure?
The Core Principle:
Build ONE authority infrastructure that serves multiple goals simultaneously, rather than separate E-E-A-T and Domain Authority initiatives. Every action should advance both objectives.
Component 1: Expert Profile Development
This is your foundation—establishing who you are and why anyone should listen.
What this includes:
- Comprehensive author bios with actual credentials and experience
- Detailed “About” pages that tell your professional story
- Personal brand presence across key platforms (LinkedIn is non-negotiable)
- Documentation of experience through case studies and specific examples
- Professional photography and consistent brand presentation
How this serves both goals:
- E-E-A-T: Verified expertise signals that AI systems can triangulate across multiple sources
- Domain Authority: Personal brand backlinks from speaking, media, and citations
When someone searches my name, they find my personal website, LinkedIn profile, Boulder SEO Marketing bio page, speaking engagement videos, and Featured.com publications. Google has a comprehensive understanding of who I am and what I’m known for. That’s not accidental—it’s systematic expert profile development.
Component 2: Strategic Digital PR
This is where everything accelerates. Digital PR done right builds authority faster than almost anything else.
We’ve developed a specific methodology using Featured.com, a platform that connects journalists with expert sources. My team visits Featured.com daily, filtering for opportunities where I can contribute genuine expert insights. When we get selected, I’m published on high-authority sites like Marketer Magazine with active links back to my website and LinkedIn.
But here’s the strategic piece most people miss: Title optimization.
When I get published, I use “International AI and SEO Expert” as my title. Not “SEO Consultant” or “Marketing Professional.” This strategic repetition reinforces the exact keyword phrase I want to rank for.
One piece of digital PR accomplishes multiple goals simultaneously:
- Builds E-E-A-T: Recognition from authoritative publishers validates expertise
- Creates high-quality backlinks: Improves Domain Authority
- Reinforces keyword associations: Helps traditional search rankings
- Creates citation opportunities: AI systems discover and cite these authoritative sources
The key insight: One strategically executed piece of digital PR moves 4-5 metrics at once.
Component 3: Original Content and Research
Create genuinely helpful, comprehensive resources demonstrating depth of knowledge. Not content to manipulate rankings—content establishing you as the definitive expert in your space.
We use what I call the Universal Content Engine—a 9-step system that transforms expert knowledge (captured through sales call transcripts, presentations, and podcast interviews) into ranking content. The methodology is human-driven, AI-assisted. AI handles research and competitive analysis, while human expertise guides AI-generated SEO content and ensures strategic alignment.
I’ve created “Virtual Chris”—an AI model explicitly trained on my transcripts, presentations, and conversations. My team uses Virtual Chris to maintain my authentic voice across content at scale. But here’s what matters: it’s trained on actual expertise, not web-scraped generic content. This is AI content marketing done right—amplifying human expertise, not replacing it.
Original content serves both authority goals:
- E-E-A-T: Demonstrates genuine expertise and first-hand experience
- Domain Authority: Earns citations when others reference and link to your research
Component 4: Systematic Backlink Strategy
Focus relentlessly on quality over quantity. One link from an authoritative source in your industry beats 100 links from random blog directories.
The strategy:
- Earn citations through value, not manipulation
- Build relationships with industry publications and thought leaders
- Create genuinely link-worthy resources (comprehensive guides, original research, tools)
- Participate meaningfully in industry conversations (not spammy link drops)
I speak globally about AI and SEO. Each speaking engagement creates natural backlink opportunities from event coverage, social media mentions, and attendee blog posts. These aren’t manipulated links—they’re organic citations earned through providing value.
Beyond Traditional Backlinks: Brand Mentions Matter More Than Ever
Here’s what most SEO professionals are missing: AI systems don’t just evaluate backlinks—they evaluate brand mentions, even unlinked ones.
Research shows brand mentions in LLMs matter more than ever in the age of AI search. When publications mention your brand or expertise without necessarily linking to you, AI systems still capture that signal as evidence of authority and relevance.
This is why digital PR strategies focused solely on getting backlinks miss half the opportunity. Unlinked brand mentions are increasingly valuable for AI visibility because:
- AI training data includes the full text of articles, not just linked references
- Language models evaluate expertise based on how brands are discussed contextually
- Repeated mentions across authoritative sources signal topical authority
- AI systems triangulate multiple sources to verify expertise claims
The strategic implication: Your digital PR should aim for high-quality placements where you’re mentioned as an expert, whether or not you get a traditional backlink. Being quoted in industry publications, featured in roundup articles, or mentioned in research reports all contribute to how AI systems evaluate your authority.
This shift from backlinks to brand mentions represents a fundamental change in how authority is measured and recognized in AI search.
Component 5: Technical Foundation
Authority signals don’t matter if your technical infrastructure undermines trustworthiness:
- Site security: HTTPS is non-negotiable (unsecured sites signal untrustworthiness)
- Schema markup: Helps AI systems understand your content structure
- Fast load times: Poor user experience signals low quality
- Clear site architecture: Make it easy for AI systems to parse your content
- Mobile optimization: Most AI searches happen on mobile devices
Think of technical optimization as the table stakes. It won’t BUILD authority, but technical issues will UNDERMINE authority signals you’ve worked hard to establish.
The Authority Flywheel
When you build these components systematically, they create a self-reinforcing cycle:
- Build expertise signals → Get cited by authoritative sources
- Citations build DA → Makes future citations easier to earn (higher DA = higher trust)
- Higher DA → More visibility in traditional search → More opportunities discovered
- More opportunities → More E-E-A-T building → Better AI citation rates
- AI citations → Drive qualified traffic → Create social proof → Cycle accelerates
I’ve watched this flywheel accelerate over the past three years. The first Featured.com publication took significant effort. Now, I get invited to contribute regularly because I’ve established track record and authority. The first conference speaking invitation required pitching. Now, event organizers reach out directly.
That’s the compounding effect of systematic authority building.
Want to see how leading agencies are actually implementing AI-powered workflows to build authority at scale? The upcoming AI SEO & GEO Online Summit includes a live demonstration of how we’ve integrated AI into our authority-building process at Boulder SEO Marketing—including a walkthrough of our proprietary BSM Copilot AI SEO tool. It’s not theory—it’s the actual systems we use daily.
Measuring What Matters: Tracking Authority Building Success
You can’t improve what you don’t measure. Here’s the framework sophisticated marketers use to track ROI for authority-building.
Traditional Metrics Still Matter:
- Domain Authority score: Track quarterly using SE Ranking or Moz. Meaningful DA growth takes 6-12 months, so don’t obsess over monthly fluctuations.
- Backlink profile growth: Focus on quality metrics—referring domains from high-authority sources, not total link count.
- Organic search rankings: Track both branded and non-branded keyword positions. Pay special attention to expertise-focused keywords like “[your topic] expert.”
- Organic traffic growth: Overall trajectory matters more than month-to-month variations.
New AI-Specific Metrics:
- AI Overview citation frequency: How often does your content get cited in Google’s AI Overviews? SE Ranking’s AI Overviews Tracker now tracks this.
- Mentions in AI platforms: Search your brand and key topics in ChatGPT, Perplexity, and Claude monthly. Track whether you’re being mentioned and in what context.
- Traffic from AI platforms: Set up referral tracking in Google Analytics 4 to capture traffic from openai.com, perplexity.ai, and other AI sources.
- Share of voice in AI answers: When AI systems answer questions in your expertise area, how often do they cite you versus competitors?
Business Outcome Metrics:
Because ultimately, authority building needs to drive business results:
- Lead quality from AI-sourced traffic: Are leads from AI platforms more or less qualified than traditional search?
- Conversion rates by source: Track AI referral conversion rates separately.
- Customer acquisition cost trends: Authority building should decrease CAC over time as qualified traffic increases.
- Brand search volume growth: As authority increases, more people should search your brand directly.
Timeline Expectations (Set Realistic Goals):
- E-E-A-T signals: 3-6 months to see initial impact from consistent expert profile development and digital PR
- Domain Authority growth: 6-12 months for meaningful DA increases (moving from DA 40 to DA 50, for example)
- AI Overview citations: 2-4 weeks if authority foundation already exists; 6+ months if starting from scratch
- Business results: 6-12 months for significant ROI from authority-building investments
This is patient capital. Early investments take time to show returns, but create exponential advantages over time. Like compound interest, the returns accelerate as authority accumulates.
Tool Recommendations:
- SE Ranking: Comprehensive SEO tracking plus AI search visibility monitoring. (Full disclosure: SE Ranking sponsors our AI SEO & GEO Online Summit because their AI SEO tools are genuinely the best for tracking these metrics)
- Google Search Console: Foundation for tracking organic performance
- AI Overview tracking tools: Multiple platforms now offer AI citation monitoring
- Brand mention monitoring: Track when and how you’re mentioned across platforms
We track all these metrics for ourselves and our clients. The data consistently shows authority-building works—but requires commitment to the timeline. Companies expecting immediate results get disappointed. Companies understanding the 6-12 month horizon get excited as results compound.
Understanding how to track and measure success across multiple AI search platforms is crucial. The upcoming AI SEO & GEO Online Summit features a dedicated session on exactly this—how to track your visibility and performance across Google, ChatGPT, Perplexity, Gemini, and other AI platforms using cutting-edge tools.
What This Means for Different Business Types
Let me help you contextualize how authority building applies to your specific situation.
For B2B Service Companies:
Authority matters MORE in B2B because buying decisions require substantial trust. When someone’s considering a six-figure software purchase or hiring a consulting firm, they research extensively. If AI agents repeatedly cite your expertise, it builds trust before any sales conversation.
The long B2B sales cycle means early AI visibility builds pipeline months before deals close. Executives researching solutions six months from now need to discover you TODAY through AI search.
Thought leadership through digital PR fits naturally with B2B sales approaches. Getting featured in industry publications positions you as the expert prospects want to work with, not just another vendor pitching services.
For E-commerce and Product Companies:
Product authority comes through demonstrated expertise—comprehensive reviews, actual testing, category knowledge. If you sell hiking gear, prove you actually hike. Document the testing process. Show why you selected specific products to carry.
Trust signals become critical for purchasing decisions. When AI agents recommend products, they cite sources demonstrating genuine product knowledge, not just retailers trying to make sales.
Category authority works at scale. Instead of trying to be authoritative about everything, dominate one specific niche. The expert in ultralight backpacking gear outcompetes the generic outdoor retailer in AI citations.
For Local Businesses:
Local E-E-A-T manifests differently—community involvement, local media features, neighborhood expertise. Google Business Profile optimization becomes critical. Local citations (directories, chambers of commerce) build location-specific authority.
Geographic authority matters more than national recognition. Being THE expert in Denver residential roofing beats being one of thousands competing nationally.
For Enterprise:
Scale requires systematic approaches. You can’t build enterprise-level authority through individual heroics. Multiple experts across your organization need to develop profiles.
Brand-level authority plus individual expert authority. IBM has brand authority; specific IBM researchers have individual expertise authority. Both matter.
Corporate PR strategy integration. Enterprises already do PR—the question is whether it’s optimized for AI search visibility and authority building, or just traditional media relations.
Common Mistakes That Waste Time and Money
Let me share what doesn’t work, based on watching companies try (and fail) to game AI search systems.
Mistake 1: Treating E-E-A-T as a Checklist
Adding author bios and credentials to your website is necessary but not sufficient. E-E-A-T requires genuine demonstration of expertise over time, not cosmetic additions.
I see this constantly: companies add a headshot and 50-word bio, then wonder why nothing changes. AI systems evaluate expertise signals across the entire internet, not just what you say about yourself on your own website.
Mistake 2: Pursuing Quantity Over Quality in Backlinks
Getting 100 backlinks from blog comments, directory submissions, and low-quality guest posts won’t move your Domain Authority meaningfully. One feature in a leading industry publication creates more value than 100 random backlinks.
AI systems evaluate link quality, not just quantity. A single citation from an authoritative source signals more trust than dozens of links from unknown websites.
Mistake 3: Waiting for “Perfect” Before Starting
Authority building is iterative. Starting with imperfect efforts beats waiting until you have everything figured out. The compounding effects reward early action.
I didn’t have a perfect strategy when I started building E-E-A-T infrastructure in November 2022. I just understood the direction search was heading and started moving. That imperfect early action created a three-year compounding advantage.
Mistake 4: Separating E-E-A-T and Domain Authority Initiatives
Running parallel tracks wastes resources. One integrated authority-building strategy serves both goals simultaneously. Every piece of digital PR, every speaking engagement, every original research piece advances both objectives.
Mistake 5: Focusing Only on AI Search OR Only on Traditional Search
AI search is growing rapidly, but traditional search still drives significant traffic. Build infrastructure that serves both rather than picking one. E-E-A-T and Domain Authority matter for traditional search rankings AND AI citations.
Mistake 6: Pure AI-Generated Content
Google explicitly penalizes content created solely to manipulate rankings. AI should assist human expertise, not replace it. Our approach: human-driven, AI-assisted. AI handles research-heavy tasks; humans provide expertise, strategy, and oversight.
The conversation I had with the AI implementation expert captured this perfectly. He builds tools that make experts more efficient. He’s not trying to replace human expertise with AI—he’s amplifying what humans do well by automating what machines do better.
This is the future of AI content marketing: AI as a force multiplier for genuine expertise, not a replacement for it.
Mistake 7: Expecting Immediate Results
Authority building is patient capital. Companies investing today see meaningful returns in 6-12 months, with compounding accelerating thereafter. But trying to evaluate ROI after 30 days leads to abandoning strategies before they have a chance to work.
Understanding what actually works (and what wastes time) requires staying current as AI search evolves rapidly.
The Bottom Line: Start Building Authority Infrastructure Today
We’re three years into the AI SEO revolution. Most companies still operate with pre-AI strategies. That gap creates the opportunity.
Here’s what I know after 30 years in SEO and three years focused on AI SEO optimization:
E-E-A-T and Domain Authority have transitioned from “optimization factors” to “existential requirements.” You can’t game your way into AI citations. You must build genuine authority that AI systems can verify across multiple sources.
The mechanism is simple: AI agents stake their reputation on citation quality. If they cite unreliable sources, users stop trusting the agent. Therefore, agents filter aggressively for authority signals before deciding what to cite.
This creates higher bars than traditional search—but also more sustainable competitive advantages. Authority is more complex to fake and more difficult for competitors to replicate quickly.
The timeline matters intensely:
Companies starting today can accumulate 2-3 years of authority before AI search becomes completely dominant. Companies waiting will find themselves years behind when authority building becomes table stakes rather than a differentiator.
One integrated infrastructure serves both goals:
Stop thinking about separate E-E-A-T strategies and Domain Authority strategies. Build one authority infrastructure—systematic digital PR, expert profile development, original content, strategic backlinks, and technical foundation—that advances both objectives simultaneously.
Measurement determines success:
Track what matters: Domain Authority growth, backlink profile quality, AI Overview citations, mentions in AI platforms, traffic from AI sources, business outcomes. Set realistic timelines (6-12 months for meaningful results) and commit to the process.
When I lost 80% of traffic in 2021, I pivoted to understanding what Google rewards—developing Micro SEO Strategies℠. When ChatGPT launched in November 2022, I focused on understanding what makes AI systems cite sources—leading to the AI SEO infrastructure I’ve shared here.
The shift is here. The opportunity is now. Will you build authority infrastructure starting today, or explain to your board in two years why competitors dominate AI search results?
Learn More: Join the AI SEO & GEO Online Summit
If you found this article valuable, I invite you to join our quarterly AI SEO & GEO Online Summit—a 100% free, educational online event I created specifically to help marketers navigate the rapid evolution of AI search. Join hundreds of forward-thinking marketers, business owners, and SEO professionals who are adapting to AI search rather than getting left behind.
Hands-on AI SEO Expert
Chris Raulf is an international AI and SEO expert, founder of Boulder SEO Marketing, and creator of Micro SEO Strategies℠. He has been optimizing for search engines since before Google was called Google and has been focused intensively on AI search optimization since ChatGPT launched in November 2022. Subscribe to his weekly AI and SEO newsletter for ongoing insights.
I’m Chris Raulf, founder of Boulder SEO Marketing and creator of Micro SEO Strategies℠, a powerful AI SEO and GEO methodology. I’ve been optimizing for search engines since before Google was called Google—nearly 30 years now—and I’ve been laser-focused on AI SEO optimization since ChatGPT launched in November 2022.
Want to talk about AI SEO for your business? Schedule a no-strings-attached intro call with me. I’d also love to have you subscribe to my LinkedIn e-newsletter, where I share weekly AI and SEO insights.
Best,
Chris