I’ve noticed that TikTok Shop creators excel by tapping into the psychology that drives people to act. Let me share how we can leverage these persuasive principles in our writing.
SEO content is often designed to rank, but conversion can sometimes fall by the wayside when we’re caught up in the technical checklist. In light of AI Overviews and falling click-through rates making visibility more challenging, I believe it’s time to focus on whether our content encourages action once someone engages with it.
Take a cue from TikTok Shop creators—they don’t just thrive because of large followings. They master persuasion by understanding consumer psychology and scaling actions. This insight can transform how we approach our written content.
The formula that successful TikTok Shop creators follow isn’t random. It relies on consumer psychology principles, not on celebrity status or follower count. I’ve realized that 99% of my own video views come from non-followers. Therefore, it’s the understanding of the psychology behind actions that matters.
By focusing on visual hooks, psychological triggers, storytelling, and relentless experimentation, we can apply these elements to written content to drive similar results.
People often buy based on emotions, justifying their decisions rationally later. It’s crucial to connect with their motivations rather than just presenting facts.
Persuasive content succeeds because it targets human desires like protecting loved ones, enjoying life, feeling safe, and seeking social approval.
Understanding these motivations allows me to craft content that resonates more deeply with my audience, ultimately leading to better engagement and conversion rates.
Over the years, as Google continually tweaked its algorithms and transformed its search results pages, I’ve seen Condé Nast adjust its strategies considerably. Now, we’re designing our business around the notion that search traffic barely impacts us anymore.
In a recent conversation featured on TBPN—the tech media network that’s been likened to “technology’s daily show”—CEO Roger Lynch shared that we’ve stopped regarding Google search as a dependable traffic source.
Here’s what Lynch explained. While Google traffic isn’t expected to vanish completely, we’re intentionally planning as if it’s on the decline:
“Last year, I instructed our teams: plan as if there is no search—consider search as non-existent.”
“We’re not saying it will be gone entirely… but we anticipate it will comprise only single digits of our overall traffic—very minimal.”
The background. Throughout the past few years, Lynch has observed a recurring trend: Google’s adjustments consistently exceeded our expectations in reducing our visibility.
“For each of the last three years, we predicted some search traffic declines in our budgets, but it fell even more than anticipated,” he noted.
Why has our search traffic dwindled? Lynch attributes this decline not only to algorithm changes but also to AI Overviews and Google’s increasingly commercial-centric results.
“Seven or eight years ago, search results had a few ads, followed by ’10 blue links.’”
Currently, users first encounter AI Overviews, then a slew of commerce links, pushing organic results further down the page.
“It’s worked out well for Google,” Lynch commented.
A shifting landscape. The alterations made by Google have disrupted the model that other digital entities, like BuzzFeed, used to convert social media and search traffic into revenue.
“That era has ended,” he declared.
Lynch mentioned that brands in the intermediary stages are having the most trouble adapting to changes in AI and search frameworks.
“In today’s world, having a specified niche with a dedicated audience is crucial. Relying solely on advertising to support significant journalism investments is a challenging position,” he stated.
Shifting priorities at Condé Nast. We are now emphasizing brands that excel in these areas:
Dedicated direct audiences.
Potential for subscriptions.
Undeniable expertise in a given niche or category.
Lynch also hinted at a potential advantage for premium publishers against AI-generated content:
“Our audience expects and desires human-generated content. Creating AI-generated content doesn’t play to our strengths. Identifying and building on your competitive advantages is vital.”
Why this matters. Lynch emphasized that the practice of turning search and social media traffic into lucrative businesses is outdated. Publishers lacking a strong brand or dedicated readership might face challenges, as platforms can revise their methods at any moment.
The full interview. You can watch Lynch’s discussion, where he elaborates why human journalism remains crucial in the AI era, starting at 30:28 here.
According to a recent, though unverified, report, Google Gemini’s AI is designed to tailor its responses based on the user’s tone, intent, and emotional context. This fascinating development suggests that the AI aligns its answers with the emotional backdrop of each query.
Why This Matters. If this information holds true, it means that the responses generated by AI might vary significantly, depending on how we phrase our queries, rather than just on the data available. This could change the way we engage with search engines.
New Findings. At the heart of this revelation is a system called upcast_info. As reported by Elie Berreby, head of SEO and AI search at Adorama, this system seems to provide the blueprint for how Gemini processes user queries, aiming to:
Reflect the user’s tone, energy, and purpose.
Acknowledge emotions before formulating a response.
Deliver answers from the user’s perspective.
Implications. Instead of maintaining a neutral stance, the AI’s responses could:
Emphasize negative perspectives (“Why is X bad?”).
Highlight positive aspects (“Why is X great?”).
Should the public sentiment toward a topic be negative, the AI might intensify that sentiment. As the report indicates:
AI mirrors prevalent emotional signals.
It doesn’t offer the balancing act usually provided by traditional search result links.
The Role of Query Framing. The emotional tone of a query can impact:
The choice of sources cited.
The style of summaries presented.
The overall tone and substance of the answers.
Google’s AI Overviews already demonstrate shifts in tone that align with the intent of queries, providing potential insight into the mechanics behind these changes.
Unsubstantiated Information. Google has yet to confirm this leak. As Berreby mentions: “I’ve decided to share just a portion of the leaked internal system data publicly. It’s not a security exploit or major breach, just a minor leak.”
Today, Google released its March 2026 spam update, making it the second announced algorithm change this year, following the February 2026 Discover core update.
This marks the first spam update of 2026. The previous one was rolled out in August 2025.
Timing. Google mentioned that this update might “take a few days to complete.” They reiterated on LinkedIn: “This is a normal spam update, and it will roll out for all languages and locations. The rollout may take a few days to complete.”
Why we care. Since this is the second major algorithm update of 2026, I need to stay alert for any changes in rankings or traffic on my sites. Google hasn’t specified what spam is being targeted, but shifts in performance could be related.
More on the spam update. Google’s documentation states: “While Google’s automated systems to detect search spam are constantly operating, we occasionally make notable improvements to how they work. When we do, we refer to this as a spam update and share when they happen on our list of Google Search ranking updates.”
Google’s AI-based spam-prevention system, SpamBrain, gets enhanced from time to time to better detect and manage new types of spam. If I notice changes after this update, reviewing and ensuring compliance with Google’s spam policies is essential for maintaining or improving rankings. Violations can lead to lower rankings or removal from search results entirely.
For link spam updates, improvements might not translate to immediate gains since any ranking boost from spammy links is nullified. Hence, reclaiming lost benefits isn’t possible.
I’ve learned that website migrations often fail due to small oversights. That’s why I focus on reducing risks with thorough pre-launch, launch-day, and post-launch SEO checks.
Website migrations can notoriously go awry, even with the best planning. I’ve seen rankings slip, traffic drop, and tracking break. Surprisingly, it’s usually the small oversights rather than complex technical issues that cause these problems.
I approach website migrations with a staging process. The checks I perform during staging, on launch day, and in the few weeks following the launch are crucial. They often determine whether a migration stabilizes quickly or spirals into a long recovery project.
Before Launch: Catch Issues on Staging
I’ve found that most migration problems should be identified and resolved on the staging site. If issues make it to the live site, recovery tends to be slower and more uncertain. Here’s how I set myself up for success:
Keep the Staging Site Private (Even from Crawlers)
A common mistake I’ve encountered is making the staging site publicly indexable. Google crawling a staging environment can lead to duplicate content in search results, causing rankings to fluctuate and unfinished pages to be indexed.
I make it a point to block crawlers from the staging site or protect it with a password to ensure it stays invisible to search engines until the live launch.
It’s not just about the crawlers. I’ve seen ecommerce sites where customers found the staging site and tried to place orders, creating confusion and frustration internally.
Take Benchmarks
To help identify real issues rather than reacting to normal shifts, I always take a baseline. I record organic sessions, rankings, top landing pages, indexed pages, conversions, and site speed before moving to the new site.
Identify Priority Pages
For me, it’s crucial to focus on pages that drive traffic, revenue, or attract links. These need extra care during redirect mapping, content review, and testing, with special attention to internal links, redirects, and URL rules.
Review Templates and Content Continuity
Templates are the backbone of a website, controlling titles, headings, metadata, and more. If templates break, similar problems can spread across countless pages. Here’s what I check:
Presence and accuracy of titles and headings.
Canonical tags that use full URLs and point to live pages.
Correctly transferred structured data.
Intact copy, images, and internal links.
Launch Day: Verify Everything Works on the Live Site
On launch day, preparation meets reality. I join my SEO, developer, and design teams to make sure what worked on staging works on the live site as well. Even small oversights can immediately impact rankings, traffic, and user experience.
Test Redirects at Scale
It’s not enough to spot-check. Every mapped URL should redirect correctly, without chains or loops, as they can slow down crawling and delay signal consolidation.
Crawl the Live Site
Immediately after the site goes live, I run a full crawl and compare the results to the staging crawl to spot any differences. I’m on the lookout for broken links, redirected internal links, missing pages, and server errors.
Check Internal Links and Navigation
Menüs, breadcrumbs, and in-content links should directly point to live URLs. Allowing internal links to rely on redirects adds unnecessary load and risk.
After Launch: Monitor and Stabilize Performance
I know that even with the best planning, surprises can emerge once search engines and real users start interacting with the site. Small errors missed on staging can suddenly affect rankings or traffic.
Structured monitoring in the days and weeks post-launch is crucial. By catching issues early, I can ensure they don’t impact performance or user experience.
I’ve discovered that the most successful GEO and AEO strategies are deeply rooted in traditional SEO. It’s fascinating how these foundational principles seamlessly translate to AI visibility. Let me share why it’s crucial not to overlook these basics.
In our quest to harness the power of AI, many of us might feel tempted to skip straight to advanced strategies. However, without a solid SEO foundation, even the best AI-driven tactics can fall short. The rules that govern traditional SEO are critical to unlocking AI’s full potential in search visibility.
Consider this: AI systems thrive on structured data and clear content hierarchies. It’s precisely these elements that traditional SEO prioritizes, ensuring that our websites are not only user-friendly but also AI-ready. This is why every AI optimization journey should begin with tried-and-true SEO practices.
As someone who loves diving into the nuances of AI and SEO, I’ve seen firsthand how these two fields complement each other. Embracing the basics doesn’t merely prepare us for AI; it catapults our strategy into an era of smarter, more efficient digital marketing.
In today’s SEO landscape, it’s about creating content that captivates, builds trust, and converts. I’ve discovered storytelling plays a crucial role in this process.
By incorporating storytelling effectively, I can enhance engagement, improve relevance, and transform traffic into actionable results. Here are seven storytelling techniques I’ve found invaluable for my business blogs.
7 Storytelling Techniques for Boosting Engagement and Conversions
I use these strategies to craft my content’s flow, from the initial hook to the compelling call to action at the end.
1. Hook the Reader
T.S. Eliot wisely said, “If you start with a bang, you won’t end with a whimper.” In my blogging, beginning with an engaging entry point keeps readers invested. For B2B or B2C blogs, it’s crucial to hook the reader effectively.
Here are techniques I use to captivate my audience right away:
Challenge a belief: Start by questioning established norms.
Weave a narrative: A story doesn’t need to start with “Once upon a time.”
Cite a statistic: Numbers, like “Google owns 89.9% of the search market,” can be compelling.
Make a promise: Offer enticing outcomes, such as blogs that drive traffic and conversions.
Empathize: Understand and relate to the reader’s struggles to draw them in.
Quote: Use a powerful quote that aligns with your message.
Combining these methods has helped me set the stage effectively. A reader’s issue paired with a success story often lends itself well to both B2B and B2C blogging.
2. Make Promises and Deliver on Them
I love stories with foreshadowing that hint at what’s to come. In my blogs, I use phrases like “You will learn…” to tantalize and keep interest alive.
This strategy also strengthens SEO. When I introduce keywords with promises about the content, it often boosts my click-through rate, as Google sometimes uses these excerpts.
Getting potential customers to visualize using my products is key. Instead of heavy-handed sales pitches, I rely on vivid storytelling to illustrate problems and solutions, guiding them through their buying journey.
6. Consider a Three-Act Structure
Jessica Brody says Act 2 contrasts Act 1. I introduce an approach, reveal its flaws, and provide a viable solution, crafting a compelling narrative that leads to success stories.
In the drafting process, I’m all about getting the ideas down. Editing refines that initial mess into a narrative that resonates deeply with my audience, choosing the perfect hooks and calls to action.
These techniques have not only polished my storytelling but also significantly boosted reader engagement and business conversions.
Content Quality Shows Its Worth in Performance
I’ve observed that quality content makes a difference in performance metrics. As I experiment with storytelling, I closely track these key performance indicators:
Organic traffic
Keyword rankings
Click-through rate (CTR)
Time on page
Conversions
Google Search Console and Google Analytics are invaluable tools that provide data to evaluate my efforts. With continuous improvement, I not only craft better stories but also drive tangible business results.
As I look back on 2025, it’s astonishing to see the AI search traffic growth leap by an impressive 180% year-over-year. I’m diving into the data to better understand how this impacts our visibility strategies. We’ll explore insights on ChatGPT, Gemini, Perplexity, and Claude usage trends in this review.
With AI technologies rapidly advancing, I’ve noticed how they continue to reshape how we think about search and brand visibility. The increased use of AI-powered tools signifies a pivotal shift in the way we approach digital marketing strategies.
In 2025, ChatGPT saw a remarkable surge in use, closely followed by interest in platforms like Gemini and Claude. This data is crucial as we plan for future visibility tactics, ensuring that our brand remains competitive in an ever-evolving digital landscape.
How does this data affect your brand’s approach? I believe understanding and leveraging these trends will be key to optimizing AI-driven search capabilities and visibility while crafting more personalized and effective content strategies.
In this comprehensive report, I’m excited to share insights on the top IT & MSP SEO agencies of 2026. Our team meticulously curated this list from around 40 candidates, ranking them based on several critical criteria:
Notable Clients (30%): We heavily weighted companies with notable IT & MSP clients, reflecting their depth of experience in the field. We’ve also assessed their work in related areas like cybersecurity and software development.
Leadership Experience (25%): We evaluated the marketing experience of the company’s senior leaders specifically in the IT and MSP sectors.
Average Review Score (20%): This reflects an average of third-party reviews from platforms like Clutch, G2, and Google Business Reviews, with extra emphasis on reviews from IT companies and MSPs.
Median Employee Tenure (15%): We examined the average tenure of employees to understand the continuity and stability experienced by their clients.
Founder Led (5%): We assessed whether the founder remains involved, which typically speaks to consistent leadership, though it’s a minor factor.
Year Established (5%): The founding year provides insights into the company’s adaptability and resilience in the dynamic SEO and IT sectors.
Below, I’ll guide you through the top 9 IT and MSP marketing agencies and offer insights into their unique marketing specialties.
Top IT & MSP SEO Agencies: 2026 Report
First up is First Page Sage, renowned for integrating thought leadership with SEO strategy, distinguishing their offerings in a sea of AI-generated content. Their strategic planning has earned them clients like Equinix, placing them at the top of our list.
Next, Epsilon provides comprehensive marketing solutions, especially adept for large tech enterprises, with clients such as Epson and Dell, showcasing their prowess in managing complex campaigns.
JumpFactor stands out as a digital marketing force for MSPs, offering everything from SEO to PR management. Their strategy especially benefits mid-sized MSPs poised for growth.
Opollo might be newer, but they’re known for their agility and effective social media strategies. They’ve already partnered with giants like Microsoft, leveraging their youthful dynamism.
With deep roots in the marketing industry, The Hoffman Agency is your go-to for PR and brand development, partnered with global leaders like Oracle and Meta.
Seota Digital Marketing is ideal for businesses needing robust SEO through WordPress and Shopify sites, keeping clients satisfied with ongoing support and web design excellence.
Lemonade Stand leverages its experience as a former MSP to deliver a broad spectrum of marketing services, personalized to help clients like RE/MAX succeed.
For IT firms seeking quick results, Yes&</strong; offers short-term, high-impact campaigns, backed by robust PPC and SEO offerings, making them invaluable for launches and branding.
Finally, MiroMind specializes in international SEO and on-site optimization, positioning themselves as experts for companies needing seamless multi-market strategies.
These agencies are leading the way in 2026, shaping the future of IT and MSP marketing with their innovative tactics and committed client service.
With over twenty years in SEO, I’ve experienced every major industry disruption—from the days of keyword stuffing on AltaVista to the era of Google’s search algorithms, mobile-first indexing, and now the rise of AI.
What’s striking today is the rapid pace of change and the emotional challenges it brings. I notice mounting pressure among teams, even those who have navigated previous shifts successfully.
The common apprehension is valid: If AI improves speed, where does that leave me? This isn’t just a technical question—it’s deeply personal.
This uncertainty can lower morale and slow adoption. Productivity can wane, and experimentation might stall, leading teams to either over-rely on AI or completely avoid it.
The real leadership challenge is building confidence, capability, and trust in AI-assisted teams.
4 Ways to Boost AI Confidence in SEO Teams
Instilling genuine AI confidence within an SEO team goes beyond just adopting the latest tools—it’s a cultural shift.
The most effective SEO teams don’t just accumulate tools; they use AI purposefully and with discipline—automating data pulls, summarizing research, and clustering keywords—to devote more time to strategy, storytelling, and aligning with stakeholders.
As noted by Harvard Business School, technology adoption is largely cultural. Tools themselves don’t drive change—trust does. This insight is crucial for SEO teams navigating AI today.
Below are four strategies for enhancing AI confidence in your teams through clarity, participation, and shared ownership, instead of pressure or hype.
1. Earn Trust by Involving the Team in AI Tool Selection and Workflow Design
Strengthening trust can effectively be achieved by transitioning from a top-down approach to shared ownership. People generally trust what they help create.
When AI tools are imposed, resistance can increase. Inviting team members to participate in evaluation and workflow design makes AI seem less daunting and more empowering. Involving teams early provides real-world insights into where AI can reduce friction or introduce new challenges.
Effective leaders:
Invite teams to test tools and share feedback.
Run small experiments before scaling adoption.
Communicate clearly about what you’re adopting, what you’re rejecting, and why.
When teams feel included, they are more willing to experiment, and growth and innovation are fueled.
2. Meet People Where They Are—Not Where You Want Them to Be
AI capability varies widely across SEO teams. Some members might experiment daily, while others feel inundated or skeptical, influenced by past automation trends that have come and gone.
Leaders who boost confidence know that capability develops at different speeds. They cultivate environments where curiosity is encouraged, uncertainty is acceptable, and learning is continuous rather than mandated.
This means:
Normalizing different comfort levels.
Creating psychological safety around “I don’t know yet.”
Avoiding the shaming or over-celebration of early adopters.
Offering multiple learning paths.
Acknowledging different starting points makes growth seem attainable rather than intimidating.
When a team member uses AI to reduce a task from hours to minutes, it’s a moment worth recognizing. It demonstrates AI’s potential to support meaningful work without sidelining human insight.
Successful teams:
Share clear examples of AI improving quality and efficiency.
Highlight internal champions who can mentor others.
Create opportunities for demos and knowledge sharing.
Foster a culture of exploration, not criticism.
My agency created AI focus groups with members from various departments. One group worked on integrating AI into project management, including representatives from SEO, operations, and leadership.
This collaborative ownership resulted in more successful implementation. Teams were not just introducing AI; they were defining how it fit within real-world workflows. This approach led to enhanced buy-in, improved collaboration, and increased confidence.
Each group shared its achievements and lessons learned, building awareness of what succeeded and the reasons behind that success. When teams observe their peers embracing AI effectively, momentum flourishes.
4. Frame AI as a Collaborative Partner, Not a Replacement
The fear of being replaced by AI is genuine. Ignoring this concern won’t make it disappear. It’s vital for teams to understand where human expertise remains indispensable.
AI accelerates analysis. Humans interpret meaning.
AI drafts. Humans validate, refine, and contextualize.
AI scales output. Humans build trust and influence.
While AI aids execution, it cannot replace strategic instincts, contextual judgment, or cross-functional leadership—skills that ultimately drive performance.
Why Experience Still Matters in AI-Driven SEO
AI has lowered the entry barrier for many SEO tasks. With effective prompts, nearly anyone can produce keyword lists, outlines, or summaries. However, this accessibility often results in fleeting tactics and recycled quick fixes.
Anyone with a lengthy tenure in SEO recognizes this cycle. Tactics evolve. Fundamentals remain. Experience is the key differentiator here.
AI Can Generate Outputs, Not Accountability
AI can create content and analyze data, but it doesn’t bear responsibility for outcomes. It doesn’t uphold brand reputation, compliance, or long-term performance.
SEO professionals remain responsible for:
Deciding what to exclude from publication.
Assessing technical, reputational, and compliance risks.
Weighing long-term consequences against short-term gains.
AI executes. Humans decide. That distinction matters more than ever.
Pattern Recognition Is Learned, Not Automated
AI excels at identifying patterns but struggles to explain their significance or relevance in specific contexts.
Experienced SEOs bring a depth of understanding AI can’t replicate. Their historical insights help them identify true shifts instead of simply reacting to industry noise.
Few industries witness as many tactic fluctuations as SEO. Experience fosters strategic thinking beyond previously successful approaches and avoids repeating tactics that later failed.
AI suggests possibilities. Experience evaluates relevance.
Professional Integrity Remains a Differentiator
In high-visibility search environments, mistakes scale quickly. AI may produce inaccuracies, risking brand trust and compliance dangers.
Teams with strong professional SEO foundations:
Validate AI output instead of assuming correctness.
Prioritize accuracy over speed.
Maintain ethical SEO standards.
Protect brand voice and credibility.
Integrity isn’t automated. It’s a practiced discipline. In a fast-paced AI environment, it holds increasing importance.
As routine tasks become automated, the role of an SEO professional shifts to strategic oversight. Time previously spent on manual analysis can now focus on interpreting user intent, shaping search strategy, guiding stakeholders, and assessing risks.
This evolution makes fundamentals even more critical. Teams still need sound judgment, technical expertise, and accountability. While AI supports execution, professionals remain responsible for decisions, quality, and long-term performance.
Developing future SEOs necessitates more than tool proficiency; it requires teaching:
When to rely on AI.
When to question AI outputs.
How to apply experience and context to its output.
