Tag: Trust

Boost Visibility: Build Trust for Lasting Impact

Every day, I notice how our attention becomes more fragmented as new information platforms emerge.

With entrants like AI search and proprietary spaces on social networks, we’re bombarded by noise from every direction.

In this deluge of information, trust is slipping, even in previously reliable sources like search engines and social media.

In times of uncertainty, we revert to the most timeless source of trust: other people. To be visible, I must appear across multiple platforms, especially those led by people.

Search is a trust experience

Rachel Botsman, a trust expert, defines trust as “a confident relationship with the unknown.” It’s the element we rely on when facing uncertainty.

As humans, I search for information when uncertain, relying on three layers of trust: self-trust, platform trust, and source trust.

The entire search process hinges on trust, and the most effective support comes from other humans.

An example of my own search journey to find a trusted answer

Recently, I decided to buy new shoes. My search began with AI tools, where I conducted low-trust research using ChatGPT and Claude.

Seeking high trust in pricing and delivery, I turned to Amazon for reviews and pricing, then to Google for deeper insights from Reddit and YouTube.

Bombarded by low-trust social media ads, I finalised my decision with high-trust recommendations from friends and a local running shop.

Search journeys now span dozens of platforms and sources

Research by Yext found that 75% of consumers use more platforms now than a year ago, but only 10% trust the first result. Reflecting on my 65-source journey, most were people-led, matching a trend in professional decision-making.

The 2026 Edelman Trust Barometer reinforces that amidst rising uncertainty, people seek advice from those they trust most.

So how do you turn trust into visibility?

To influence someone’s search journey, I aim to appear on all information-searching platforms and in as many people-led sources as possible.

Start by earning mentions in people-led spaces and build genuine trust. This naturally leads to visibility on major platforms.

For instance, Adidas Terrex was visible at every touchpoint in my journey, reflecting its active engagement and trust-building with consumers.

Through events and community initiatives, Adidas fosters engagement, enhancing visibility through hashtags and social platform mentions.

Where to go to earn people’s trust
Building relationships lays the foundation for trust. I start by engaging in communities, events, social media, and forums where genuine conversations occur.

Select places with active, two-way communication where you can authentically connect and build a trustworthy presence.

How to engage in trust-building spaces

The priority is helping, not selling. I listen first to understand what people need, then engage meaningfully to build trust.

Start by listening, not talking

Before jumping in, I learn what ‘helpful’ means in the specific space and identify how I can support the community’s needs.

Engage to build trust

Building trust takes time and involves personalized interactions and consistent presence as a genuine individual, not as a brand representative.

Turn conversations into scalable trust

Using insights from personal interactions, I create scalable assets that support people’s aspirations, reinforcing trust on a larger scale.

For example, a guest-posting program for professionals looking to amplify their personal brand can be a powerful tool for fostering trust.

What does this actually look like in action?

In my journey from marketing to community building, I experienced firsthand how focusing on helping rather than selling leads to building trust and achieving visibility.

By listening and engaging with genuine support, an SEO SaaS partner grew visibility in our community, resulting in substantial business impact.

Building trust is a long-term visibility bet

Trust persists as a critical factor in information seeking. By embedding trust-building into my business strategies, I ensure lasting visibility across current and future platforms.

Remember, prioritizing trust preserves visibility beyond algorithms, creating enduring presence in an ever-evolving digital landscape.

Inspired by this post on Search Engine Land.

April 22, 2026
Boosting Medical Device Marketing ROAS with SEO Maturity

I took our SEO to a whole new level, and the results were astonishing. From just $12K in ad spend, we skyrocketed to $1.6M in revenue. Let me share how building authority, optimizing conversion signals, and setting up CRM feedback loops made our PPC scalable.

You might already be familiar with how important SEO is for improving traffic and authority, but what isn’t discussed enough is its impact on other channels like PPC. This case study reveals how we scaled performance marketing in the high-consideration B2B medical device market by nailing our SEO fundamentals.

Marketing a premium pelvic floor chair isn’t your typical ad campaign. This device has a lengthy sales cycle and relies heavily on medical expertise. Our customers range from doctors to physiotherapists, all of whom demand reliable clinical evidence and credibility.

In markets like ours, when common performance tactics fell short, building credibility and authority was key. Without trust in our products and services, performance simply couldn’t scale. I’ve learned that no optimization works without it.

Starting 2023, our Google Ads campaigns were launched with limited SEO. The lack of optimization led to underattribution and resulted in a minimal scaling effect. We also dealt with delays in Google Ads bidding algorithms due to conversion tracking issues.

Despite these challenges, early campaigns confirmed there was a demand. I realized that fixing the surrounding system was necessary to capitalize on this potential in the long run.

By mid-2024, I shifted the focus to treating SEO as a central part of our revenue strategy rather than an additional enhancement. Rather than chasing quick rankings, we prioritized building authority in pelvic health. Our strategy involved educational content, mapping out the entire informational landscape around pelvic health issues.

Our shift paid off. We invested in long-form content, structured it well, and embedded supporting visuals. This approach transformed us into a trusted resource over time and improved our credibility, which is essential in medical markets.

Our biggest success came from leveraging partnerships with clinics and medical professionals. Providing ready-to-use content allowed us to establish valuable backlinking opportunities in exchange for using our resources. These links enhanced our visibility and authority in healthcare sectors.

Ultimately, this strategy resulted in a manifold increase in referring domains and significantly boosted our topical authority. Our backlinks were closely aligned with Google’s assessment of expertise and trust.

By late 2024, our top rankings for crucial keywords like ‘Beckenbodenstuhl’ clearly demonstrated our growing organic visibility. Prospects repeatedly encountered our brand in their research phase, reinforcing trust even before they saw our ads.

Our organic presence also reshaped how users engaged with our ads. Familiarity bred trust, and many users chose our advertisements due to previous organic encounters. This effect was even more pronounced in competitor-specific campaigns, where we achieved high click-through rates.

Improving conversion tracking was the next game-changer. Moving away from standard GA4-imported conversions to GTM-native events allowed us to get faster and cleaner signals, optimizing bidding algorithms effectively.

Integrating our HubSpot CRM closed the loop between marketing and sales. We tracked not only the quantity of leads but also their quality, feeding this data back into our Google Ads to optimize really meaningful outcomes.

With $12,000 in ad spend during 2025, our integrated SEO and PPC strategy led to impressive growth. In just two years, we observed a 140% sales increase from 2023-2024, followed by another 79% in 2025. This equated to a fourfold growth in our sales volume fueled by digital marketing.

The key to scaling PPC lies in trust and quality signals, underscored by sound SEO practices. It’s not about one-off optimizations but a holistic system that includes aligned SEO, precise tracking, and insightful CRM feedback.

Complex markets don’t fail because the strategies are wrong; they fail due to incorrect assumptions about simplicity solving complexity.

Inspired by this post on Search Engine Land.

March 27, 2026
Perplexity’s Bold Move: Choosing Trust Over Advertising

Recently, I learned that Perplexity has decided to halt its advertising initiatives. The company started experimenting with sponsored placements back in 2024, but now they’re stepping back, believing these ads might jeopardize the trust that users place in their AI answer engine.

I read the Financial Times report stating that Perplexity phased out the ads and currently has no intention of reintroducing them. It’s an intriguing approach considering the rapid evolution of AI search companies.

As someone who utilizes AI-driven platforms, I find it important to monitor these changes. If Perplexity stays ad-free, brands miss out on direct paid access to a growing audience. Imagine how brands must navigate a landscape with 780 million monthly queries without the option for sponsored placements.

Perplexity was pioneering in testing ads, placing sponsored answers beneath chatbot responses. They claimed these ads were clearly labeled, ensuring they didn’t affect the quality of information. Yet, it’s evident that perception is as crucial as policy for them.

From my perspective, the notion that users might doubt the integrity of responses if ads appear is understandable. One of Perplexity’s executives mentioned that maintaining users’ belief in receiving the best possible answer is paramount.

It’s worth mentioning that while Perplexity opts out of ads, other platforms are diving in. For instance, OpenAI is testing ads in ChatGPT for free users, and Google is running ads in AI Mode within Search, although not in Gemini. Meanwhile, Anthropic is committed to keeping Claude ad-free, which reflects different strategic approaches in the industry.

Sustainability in business is key, and Perplexity sees subscriptions as its core model. They offer both free and paid plans ranging from $20 to $200 monthly, boasting over 100 million users and approximately $200 million in annual revenue. This model reflects their focus on accuracy and providing the truth, minimizing conflict of interest.

Despite launching shopping features, Perplexity doesn’t take a transaction cut, aligning with their cautious stance on revenue models that might undermine trust.

For more detailed insights, one could explore the full report from the Financial Times, though it’s a subscription-based service.

Inspired by this post on Search Engine Land.

February 18, 2026
AI Revolutionizes Digital Advertising by 2026: What You Need to Know

As I look ahead to 2026, Google’s innovative strides in AI are truly reshaping digital advertising and commerce. Thanks to the leadership of Vidhya Srinivasan, VP/GM of Ads & Commerce, AI is significantly enhancing the shopping and advertising landscape, making it more efficient and personalized for everyone involved.

Key Trends:

Creators to commerce: In my experience, YouTube is increasingly becoming a go-to platform for discovery, largely because creators act as influential tastemakers. AI plays a pivotal role in pairing the right creators with brands, transforming influence into tangible business outcomes.

Search ads evolve: With conversational and visual searches gaining popularity, AI Mode is revolutionizing ads to seamlessly integrate into the user’s discovery process. Innovative formats like sponsored retail listings and Direct Offers are crafted to assist users in their shopping journey while offering brands meaningful conversion opportunities.

Agentic commerce arrives: Through Google’s Universal Commerce Protocol (UCP), AI-driven shopping experiences are becoming standardized. This advancement allows users to browse, purchase, and finalize transactions effortlessly. Early adopters like Etsy and Wayfair have already started using this system, with giants like Shopify, Target, and Walmart soon joining the bandwagon.

AI-powered creative and performance: I’m thrilled to see how tools powered by Gemini 3 are enhancing creative production and campaign optimization. Generative platforms like Nano Banana and Veo 3 help advertisers produce high-quality assets swiftly, while AI Max boosts reach and performance.

Trust as a foundation: It’s reassuring to know that each advancement prioritizes privacy and security. Strong data management practices, alongside transparent ad personalization, are founded on Google’s legacy of trust.

Why we care: 2026 is poised to be a groundbreaking year, with AI enhancing every facet of the consumer journey. With cutting-edge tools like Gemini 3, Nano Banana, Veo 3, and AI Mode, brands like mine can efficiently create superior content, target the perfect audience, and seamlessly convert interest into purchases during search and discovery.

The advent of agentic commerce through UCP presents a novel approach, connecting advertisers to consumers at critical purchasing moments, all while preserving trust and transparency.

The big picture: The year 2026 heralds an expansive era for digital commerce and advertising, where the fusion of speed, personalization, and AI-driven insights eliminates barriers, facilitating smoother transitions from discovery to purchase while keeping trust paramount.

Dig Deeper: Discover what’s next in digital advertising and commerce by 2026

Inspired by this post on Search Engine Land.

February 11, 2026
Discover How Ads Enhance Your ChatGPT Experience
On the OpenAI podcast, I recently listened to Andrew Maine as he spoke with OpenAI executive Assad Awan. During their conversation, Awan shared insights into how ads are being introduced to ChatGPT, who will see them, and the measures in place to protect user trust.
Who will see ads:
Ads will be visible to users on the Free and Go tiers. As for Plus, Pro, and Enterprise subscribers, they will not encounter ads in their interactions. Additionally, Enterprise workspaces are staying completely free from advertisements.
The guardrails: Awan highlighted that OpenAI is committed to structuring ads with strict trust principles in mind.
- Separation: Ads are distinctly separate both visually and technically from the model answers.
- Privacy: Conversations are not shared with advertisers, ensuring privacy is upheld.
- Sensitive topics: Discussions on health, politics, and other sensitive subjects will never be interrupted by ads.
- Controls: Users have the ability to adjust ad personalization settings or even upgrade to remove ads entirely.
Awan also mentioned that the AI model itself is not aware of when ads are present and will only reference them if directly queried by a user.
Zoom in. OpenAI emphasizes prioritizing user trust over other factors such as user value, advertiser value, and revenue. This framework is designed to prevent ads from influencing the model’s responses.
For small businesses. Awan envisions a future where AI simplifies advertising for small businesses. By understanding plain language goals, AI can help run campaigns without the complexity of traditional dashboards.
Why we care. ChatGPT ads promise a unique, high-intent channel where businesses can connect with users during their active conversations and decision-making processes. By focusing on relevance and AI-driven matching, the platform can lower the entry barrier for small to midsize advertisers while boosting performance for larger brands.
Should OpenAI succeed in cultivating a trusted ad environment, it could reshape how advertisers perceive discovery and customer engagement within AI-driven platforms.
What’s next. The initial ad tests will remain conservative, concentrating on utility and relevance before volume as OpenAI hones ad formats and placements.
The big picture. Through advertising, OpenAI aims to expand ChatGPT access while adhering to a trust-first design—a balance they assert is key to their long-term strategy.
Dig deeper. Watch the full interview with Assad Awan

Inspired by this post on Search Engine Land.
February 11, 2026
How AI Highlights the Vital Role of Human Connections in Agencies

Working as an office manager in my early 20s, I discovered Dale Carnegie’s “How to Win Friends and Influence People.”

The timeless principles in that book have been my guiding compass through various career shifts. I’ve realized that success in most professions hinges on how we interact with others—be they clients or colleagues.

For many years, combining human touch with technical skills has been a winning formula for digital marketers. It was this ability to demystify complex machines coupled with strong relationship-building that allowed agencies to retain clients.

But now, this model is under scrutiny as AI becomes integral to PPC platforms, raising a pertinent question: why shouldn’t clients dive into an entirely AI-driven approach?

What agencies have an edge on is their relational strength—their ability to communicate effectively and understand what business owners genuinely need.

1. Ask questions

I’ve learned that one of the most effective ways to understand people and what makes them tick is by asking questions. Though it seems straightforward, communication often becomes lost in translation or obscured by assumptions.

Whenever I walk into a sales call, I arm myself with a list of questions. How much can I uncover about this potential client in a brief half-hour conversation?

Similarly, during strategy discussions, I prepare a comprehensive set of queries—some for myself, and some for the client. What are they aiming to achieve? What aspects of their current strategy need refinement? How can we enhance it?

To this day, AI can’t fulfill this role—not yet, at least. Our exchanges with AI remain predominantly one-sided.

AI doesn’t actively seek to understand us as individuals or identify our unique challenges. These discoveries only come from asking questions and actively listening, which leads to the next point.

Dig deeper: 6 tips to build PPC client relationships

2. Talk less, listen more

How often do I find myself in conversations, impatiently waiting for a pause to insert my thoughts? I’m guilty of this, but I’ve found that clients crave the opportunity to be heard.

Allow them to express themselves fully, encourage them with more clarifying questions, and just keep listening. It’s remarkable what you can learn about someone when you enter a conversation with no other agenda but to understand the other person.

Fill the silences only if they become awkward, and if you have valuable agenda points to address based on what you’ve learned. This approach fosters collaboration and generates ideas more swiftly than dominating the conversation could. It solidifies agreement, which is foundational in building relationships.

Dig deeper: 8 questions to ask your new PPC clients

3. Find common ground

Whenever possible, I aim to discover commonalities between myself and new acquaintances. By doing so, I build rapport, enriching both personal and professional relationships.

Being personal and specific, whether dealing with a friend or a client, is key. I love recalling little details about people and bringing them up in future conversations. People appreciate being remembered and valued.

Though AI is beginning to develop memory, finding shared experiences with others is a uniquely human skill that, fortunately, remains beyond AI’s reach.

Dig deeper: When and how to fire PPC clients

4. Smile, be less serious (when it’s appropriate)

In the fast-paced marketing realm, it’s easy to succumb to the all-consuming cycle of data analysis and testing. Remember, though, not to take ourselves too seriously.

After all, this profession is relatively new, and its evolution is unpredictable. Let’s not forget why we ventured into marketing—to help and connect with people. Let’s embrace opportunities to be less serious and inject humor when it fits.

We’re human, and it’s vital for those we work for to recognize this humanity as an integral part of any relationship.

Dig deeper: How to set and manage PPC expectations for teams and stakeholders

What differentiates a partner from an algorithm

In a world increasingly dominated by AI, the focus is shifting from technical prowess to personal connection. AI excels at data and analysis, available at a moment’s notice, but knowledge alone isn’t sufficient anymore.

Empathy, shared experiences, and true rapport are beyond AI’s capability to replicate. These human principles, combined with expertise, are what enabled agencies to decode machines for clients and nurture enduring relationships.

By returning to relational basics—posing insightful questions, practicing active listening, and establishing common ground—agencies can affirm their indispensable value.

These relational skills are vital in distinguishing a partner from an algorithm, ensuring that the work of agencies remains not just relevant but essential.

Inspired by this post on Search Engine Land.

January 29, 2026
How AI is Transforming Trust in Financial Research

In my conversation with Joshua Weisberg, CEO of Lambda Finance, we explored how AI is reshaping financial research. As discovery evolves from traditional search to AI-powered insights, platforms must earn trust in an era demanding clarity, accessibility, and centralization.
First Page Sage: Financial research carries significant risks where misinformation can have severe outcomes. Joshua, why do finance sectors experience shifts in search behavior and AI-driven discovery sooner than others?
Joshua Weisberg: In finance, the repercussions of poor information are swift and quantifiable. If research lacks depth or accuracy, the impact is immediately observed in performance. This urgency pushes investors to adapt their research methods faster than other industries.
As AI shapes discovery, investors scrutinize information sources and presentation more acutely. They prefer sources demonstrating depth, consistency, and reasoning, pushing financial platforms to evolve quickly. This also provides a blueprint for trust-centric industries’ behavior.
First Page Sage: With AI underpinning research, the focus shifts from keyword matching to perceived expertise and trust. How does this affect financial platforms’ approach to visibility and authority?
Weisberg: It redefines the objective. Visibility now relies on being consistently useful rather than merely optimized for keywords.
In finance, expertise emerges from effectively linking concepts and illustrating relationships. AI favors sources that provide comprehensive answers. Platforms should focus on delivering a holistic experience that conveys thorough understanding of the topic.
First Page Sage:: Fragmented user experiences can weaken authority from an SEO/GEO perspective. Lambda Finance unifies several research functionalities. Why is this vital in an AI-driven discovery realm?
Weisberg: Fragmentation causes friction for users and affects perceived expertise. When multiple tools are needed for answers, building confidence is challenging.
Unifying insights allows them to exist contextually. Connecting technical signals, fundamentals, alternative data, and portfolio analyses enhances user comprehension and signals authoritative understanding to the users.
First Page Sage: In finance, ambiguity is costly. How does effectively explaining complex data grow user trust and digital visibility?
Weisberg: Clarity is surprisingly advantageous in financial research. Even seasoned investors benefit from understanding why something is significant, not just the event itself.
By prioritizing explanation, platforms engage users deeply, leading to sustained reliance. Over time, this trust enhances digital visibility. Platforms excelling at detailing complexities often become references for both users and AI systems seeking comprehensive answers.
First Page Sage:: What error do digital leaders in finance commonly make preparing for AI-driven search? And what should they emphasize instead?
Weisberg: A common mistake is seeing AI-driven search as merely a technical challenge. While optimization is important, it doesn’t replace substantive content, especially in complex sectors like finance.
Long-term visibility relies on depth—accurate data, insightful analysis, and clear communication. Companies focusing on these fundamentals are well-equipped as search evolves, aligning with user preferences. Authority in high-stakes industries is earned through consistent utility.
Source

Inspired by this post on First Page Sage Blog.

January 9, 2026