Previsible

🔎 Join us for breaking insights you need for Navigating AI Search with our CEO, Jordan Koene on Wednesday, November 19th at 3:00 PM ET right here on LinkedIn Live! We'll explore how AI search is moving from rankings to responses, driving discovery in documents, browsers, and apps, how response systems choose which brands to present, and why citations matter more than ever. Can't make it? Catch it in post on our timeline!

Brand becomes the final competitive moat when AI equalizes everything else. When artificial intelligence can produce identical copy, ads, and content for every company, traditional marketing advantages disappear overnight. Most brands are scrambling to use more AI tools, thinking technology will solve their differentiation problem. The real opportunity lies in doubling down on authentic brand essence and human connection. Jon Levesque, CEO and Founder at Seeq, believes we're entering an era where brand authenticity becomes the ultimate differentiator. His company turns saved media into shoppable sequences, focusing on genuine human experiences over automated content. As Levesque puts it, when AI equalizes all functional capabilities, "what remains is the essence of the brand, of the being, of the message." This shift creates a massive opportunity for companies willing to invest in authentic brand building while competitors chase the latest AI tools. The brands that survive this transformation will be those that recognize technology as an enabler, not a replacement for genuine human connection and authentic messaging. What's your strategy for maintaining brand authenticity as AI commoditizes content creation? If you want the full conversation with Jon about navigating brand differentiation in the AI era, drop a comment and I'll share the link.

72% of people make decisions based on social influencers. The directory era is ending, and humanity is returning to trusted, personal recommendations. Traditional search relies on directories and algorithms to surface information. But this approach strips away the human element that makes recommendations meaningful and trustworthy. Most businesses still think in terms of SEO rankings and directory listings to drive discovery. The real shift is happening in how people actually want to find and evaluate options through trusted voices and personal connections. Jon Levesque, CEO and Founder at Seeq, believes we're witnessing humanity's attempt to return to authentic, person-to-person information sharing. His perspective challenges the fundamental assumption that directories and search algorithms are the best way to connect people with what they need. Instead of optimizing for search engines, the future belongs to what he calls "Experience Networks" - platforms that prioritize human trust and authentic recommendations over algorithmic relevance. This represents a fundamental shift from transactional discovery to relationship-based recommendations, where influence and trust matter more than keyword optimization. The implications extend beyond marketing tactics to how we think about building authority and connecting with audiences in an increasingly AI-driven search landscape. How are you adapting your discovery strategy beyond traditional SEO and directories? If you want the full conversation with Jon about the end of the directory era and the rise of Experience Networks, drop a comment and I'll share the link.

89% of entrepreneurs experience panic when going full-time on their startup. The difference? How they handle the free fall. Most founders freeze when facing the leap from stable employment to startup uncertainty. The fear of financial instability and unknown outcomes creates paralysis at the exact moment decisive action matters most. Traditional career advice suggests having six months of runway and a detailed business plan before making the jump. Jon Levesque, CEO and Founder at Seeq, experienced immediate panic when first going full-time on his startup but quickly reframed the experience as guidance rather than failure. His approach transformed panic into purposeful action through a powerful mental framework. Rather than viewing the transition as falling toward failure, he chose to see it as controlled navigation through necessary uncertainty. This shift allowed him to bet confidently on both himself and his vision for killing the directory era through Experience Networks. The key insight: panic signals you're pushing beyond your comfort zone into growth territory, not that you've made the wrong choice. How do you reframe startup uncertainty - as falling toward failure or navigating toward opportunity? If you want the full conversation with Jon about transitioning from panic to purpose in startup leadership, drop a comment and I'll share the link.

AI agents will outnumber human web users within two years. The shift is already accelerating faster than most realize. Traditional SEO strategies assume human searchers making deliberate queries and clicking through results. But when AI agents become the primary web navigators, they'll consume information differently by parsing structured data, following programmatic pathways, and making decisions without human oversight. Most brands are still optimizing exclusively for human search behavior while ignoring the agent-first future that's rapidly approaching. Killian Dunne, Founder at Telepathic, helps ecommerce brands prepare for this transformation by building workflows that get them discovered in large language models. His perspective on the timeline challenges conventional wisdom about gradual AI adoption. The mathematician-turned-entrepreneur who previously pitched hyperloop technology to Elon Musk sees a more dramatic shift ahead than most industry experts predict. However, Dunne emphasizes a critical strategic sequence: master traditional SEO fundamentals before advancing to AI search optimization. He argues that SEO remains more fundamental and covers essential basics that create the foundation for sophisticated AI search strategies. The implication is clear—brands need dual-track preparation. Strengthen current SEO performance while simultaneously building the structured data and programmatic accessibility that AI agents will require. How are you balancing immediate SEO needs with preparation for an agent-dominated search landscape? If you want the full conversation with Killian about preparing for AI agent search, drop a comment and I'll share the link.

SEO's "follow the user" mantra faces its biggest test yet. AI search is creating a new wild west phase. The fundamentals of user-first optimization remain critical, but there's a paradigm shift emerging that most teams aren't prepared for. Traditional SEO wisdom says follow the user, optimize for their needs, and rankings will follow. That foundation still holds true. But we're entering uncharted territory where the next optimization layer creates new opportunities and risks. Killian Dunne, Founder at Telepathic, sees a spammy phase emerging in AI search optimization where companies will game these new systems until quality controls catch up. His prediction mirrors the early Google era when quantity often trumped quality before algorithmic sophistication evolved. The challenge for enterprise teams is navigating this transition period where basic user-focused optimization remains essential, but advanced AI search strategies require different approaches. Companies that understand this dual-layer optimization framework will gain competitive advantages while others struggle with traditional tactics alone. The question isn't whether to abandon user-first principles, but how to layer AI search optimization on top of that foundation without compromising quality. What's your strategy for balancing traditional user optimization with emerging AI search opportunities? If you want the full conversation with Killian about navigating AI search optimization, drop a comment and I'll share the link.

AI search visibility is becoming compressed. The noise is getting filtered into very specific information points. This changes everything about how brands position themselves in search. Instead of spreading messages across dozens of touchpoints, successful companies are discovering they need laser focus on one or two core positioning statements. Most teams still operate under the old assumption that users will absorb 20 different brand messages across their journey. Killian Dunne, Founder at Telepathic, sees a fundamental shift happening in how information gets surfaced and consumed through AI-powered search experiences. His insight centers on strategic compression. Rather than diversifying messaging, winning brands are identifying their singular unique positioning and reinforcing it consistently across every touchpoint. The mathematics are simple: when AI systems compress information, only the most reinforced and consistent messages survive the filtering process. This means every piece of content, every page, every brand mention needs to hammer home the same core message about what makes you unique. The brands that adapt to this compressed information environment will own their category positioning, while those spreading thin messages will disappear into the noise. What's your brand's single most important message that should survive AI compression? If you want the full conversation with Killian about positioning for AI search visibility, drop a comment and I'll share the link.

73% of SaaS brands aren't even indexed properly. Yet they're obsessing over AI optimization strategies. Most enterprise SEO teams are jumping straight to advanced AI visibility tactics while their foundational search presence remains broken. The reality is that winning in AI-powered search requires mastering the basics first, then building strategically upward. Killian Dunne, Founder at Telepathic, applies a systematic approach that treats SEO like a hierarchy of needs. His software helps ecommerce brands build workflows that get them found in LLMs. Rather than chasing the latest AI optimization trends, successful SaaS brands audit their current position on the organic search hierarchy. The framework starts with fundamental questions: Are you getting indexed at all? Is your content even discoverable? Only after securing these foundational elements should teams consider advanced tactics like Q&A formatting for AI consumption. This hierarchy approach prevents the common mistake of optimizing for AI visibility while basic search signals remain compromised. What level is your SaaS brand operating at in the organic search hierarchy? If you want the full conversation with Killian about building systematic approaches to AI-era SEO, drop a comment and I'll share the link.

AI-generated email subject lines are becoming standard practice. Here's why performance marketers are embracing automation... Email marketing at scale requires balancing personalization with efficiency, especially when managing campaigns across multiple client verticals. Most teams struggle with the time investment needed to craft compelling subject lines while maintaining brand voice consistency. Patrick McKenna, CEO at DMi Partners, shared how his award-winning performance marketing agency approaches AI integration in email campaigns. His team has found that AI serves as a powerful assistant in the content creation process, particularly for subject line generation and audience segmentation analysis. The key insight: AI isn't replacing human creativity but enhancing the strategic process. - Content Enhancement: AI helps generate initial subject line concepts while human strategists refine for brand alignment and conversion optimization - Segmentation Intelligence: Automated analysis identifies audience patterns that inform more targeted messaging approaches - Process Acceleration: Teams can test more variations faster while maintaining quality control through human oversight The approach focuses on AI as a collaborative tool rather than a replacement for strategic thinking. What's your experience with AI-assisted email marketing? Are you seeing better performance with hybrid human-AI approaches? If you want the full conversation with Patrick about performance marketing automation, drop a comment and we'll share the link.

Transactional searchers are shifting to informational seekers. Here's what performance marketers need to know about this fundamental change... The traditional approach of pushing product-focused content and promotions is missing the mark as search behavior evolves. Traffic patterns show users migrating from Google to LLMs, fundamentally changing how people discover and consume information. Patrick McKenna, CEO at DMi Partners, identified this critical shift in user behavior that's reshaping performance marketing strategies. The data reveals a clear trend: customers who previously searched with transactional intent are now seeking educational content first. This behavioral change requires marketers to completely rethink their content delivery approach. Instead of leading with promotions when users want information, successful teams are pivoting to educational content that meets customers where they actually are in their journey. The challenge isn't just recognizing this shift, it's developing the data sharing and analysis capabilities to deliver the right content type at the right moment. How are you adapting your content strategy to match the shift from transactional to informational search behavior? If you want the full conversation with Patrick about navigating these search behavior changes, drop a comment and we'll share the link.