Google Search is currently experiencing what I see as an ‘expansionary moment,’ powered by the dynamics of AI technology. The search experience I rely on has transformed through longer queries, follow-up questions, and the increasing use of voice and images. This was highlighted during Alphabet’s recent earnings call, where executives shared these evolving trends.
In other words: Google’s search interface is becoming increasingly AI-driven, facilitating interactions within its system. This isn’t about replacing old queries—instead, we’re witnessing a new era of digital exploration.
Why we care. The integration of AI into Google Search is not just a trial. For me, it’s a structural transformation altering how we discover, interact with, and navigate the web.
By the numbers: Alphabet’s Q4 advertising revenue reached $82.284 billion, marking a 13.5% increase from $72.461 billion in 2024.
Google Search & other: $63.073 billion (up 16.7%)
YouTube: $11.383 billion (up 8.7%)
Google Network: $7.828 billion (down 1.5%)
For the 2025 fiscal year, Alphabet’s advertising revenue climbed to $294.691 billion, a growth of 11.4% from the previous year.
Google Search & other: $224.532 billion (up 13.4%)
YouTube: $40.367 billion (up 11.7%)
Google Network: $29.792 billion (down 1.9%)
AI Overviews and AI Mode are now core to Search. Sundar Pichai, Alphabet/Google’s CEO, emphasized how central AI has become to Google’s search products, with over 250 AI-related product launches in just the last quarter.
Google has recently upgraded its AI Overviews to the Gemini 3 model, a move that connects AI Overviews more seamlessly with conversational search experiences.
“We have also made the search experience more cohesive, ensuring the transition from an AI overview to a conversation in AI mode is completely seamless,” Pichai noted.
AI is driving more Google Search usage. As Google puts it, AI-driven search is expanding the ways people use search rather than replacing traditional searches.
“Search saw more usage in Q4 than ever before, as AI continues to drive an expansionary moment,” Pichai emphasized.
“Once people start using these new experiences, they use them more,” he added.
Changing search behavior. AI Mode is making searches longer, more conversational, and multimodal. “Queries in AI mode are three times longer than traditional searches,” said Pichai.
Not only are queries longer, but sessions are also becoming more conversational, often leading to follow-up questions.
“We are also seeing sessions become more conversational, with a significant portion of queries in AI Mode now leading to a follow-up question,” he said.
“Nearly one in six AI mode queries are now non-text, using voice or images,” Pichai shared.
Google’s visual search capabilities continue expanding with “Circle to Search” available on over 580 million Android devices.
“We haven’t seen any evidence of cannibalization,” Pichai said about the coexistence of Google Search and the Gemini app.
“The combination of all of that, I think, creates an expansionary moment,” he concluded.
I recently delved into fascinating research that sheds light on how higher education data informs SEO visibility and AI search. This exploration reveals what truly enhances visibility in this AI-driven era.
Contrary to some beliefs, AI search hasn’t rendered SEO obsolete. Now, the challenge is to excel both in ranking and in earning those vital AI citations.
Every time I Google something these days, there’s a significant chance an AI Overview will appear before any organic results or ads, framing my query, shortlisting sources, and shaping which brands I consider.
According to Ahrefs, AI Overviews now feature for about 21% of keywords. This means that while search rankings remain crucial, AI summaries increasingly dictate early brand consideration.
I’ve noticed that brands aren’t losing visibility just because they slip from the third to the seventh position on search engines. They’re often losing because they’re not even mentioned in AI answers.
Research conducted by Search Influence and UPCEA, where I serve as CEO, reveals insights into AI-assisted search usage and organizational adaptation in the higher education space.
Key Takeaways
AI citations are emerging as a trust signal: Being cited by AI can enhance credibility and secure early user consideration before direct source comparison occurs.
AI visibility is collective: AI pulls from various sources like YouTube, LinkedIn, and beyond—your URL isn’t everything.
Established brands need to adapt: Even well-known brands can be overlooked if their content doesn’t align with how users ask questions.
Most organizations recognize AI’s importance but lack action plans: Awareness exists, but execution is hindered by a lack of ownership and processes.
Content structure determines inclusion: Content that is structured for easy retrieval and decision-making often gets cited over long narratives.
To grasp the evolving search landscape, we need to examine both user behavior and organizational responses.
The findings show increased AI-assisted discovery and shifts in trust signals. Meanwhile, a UPCEA member institution poll uncovers gaps in AI strategy adoption.
The question isn’t whether AI search will impact your field; it’s whether your brand will be cited, overlooked, or represented by competitors.
I might be witnessing a significant shift as Google seems to be tightening its grip on self-promotional ‘best of’ listicles. This trend was highlighted by Lily Ray, who leads SEO strategy and research at Amsive.
Recently, many SaaS brands experienced a sharp decline in visibility, ranging from 30% to 50%. These companies often featured content that ranked their own products as ‘Number 1’ in their fields, frequently updating with the latest year to capitalize on recency signals.
Understanding the Trend. Following the December 2025 core update, there was noticeable volatility in Google search results throughout January, as reported by Barry Schwartz. Although Google hasn’t confirmed any updates for this year, the timing matches the visibility drops experienced by major SaaS and B2B brands. Lily Ray observes:
• In several situations, organic visibility dropped by as much as 50% within weeks. The losses were primarily in subfolders containing blogs, guides, and tutorials.
• These sections often housed numerous self-promotional listicles for ‘best’ queries, with the publishers typically ranking themselves first. Most articles were minimally refreshed with the addition of ‘2026’ to their titles, without substantial updates.
• “It seems likely that these declines in Google organic rankings might also affect visibility across other search engines and AI platforms that utilize Google’s results, like Gemini and ChatGPT,” Ray explained.
Why This Matters. There has been a longstanding practice of using self-promotional listicles to sway search rankings and AI-generated responses. If Google is reconsidering this kind of content, any strategies focusing on ‘best’ queries might face substantial challenges.
The Controversy. Ranking oneself as ‘the best’ without independent verification or third-party endorsement is often seen as a dubious SEO move. While not outright banned, it conflicts with Google’s guidelines on reviews and trustworthiness.
• Google maintains that quality reviews should display firsthand experience, originality, and clear evaluation. Self-serving listicles frequently fall short, particularly when bias isn’t disclosed.
However. Self-promotional listicles may only be one of several factors affecting organic visibility. Affected sites often showed signs of fast content expansion, automation, aggressive year-based updates, and other risky tactics.
• Nevertheless, the prevalence of self-promoting ‘best’ content among the most impacted sites suggests that this signal might now be more influential, especially when used extensively.
What’s Next. The outcome for self-promotional listicles in terms of gaining recognition and organic visibility is still uncertain, as Google seldom implements changes uniformly or immediately.
• If this volatility is linked to updates in Google’s review system, the trend is evident: Content aimed mainly at influencing rankings, rather than offering credible evaluations, poses growing risks.
• The enduring lesson for brands seeking online visibility is clear: SEO shortcuts may yield effective results, but only until they don’t.
I’ve noticed a shift as informational searches decline. Digital PR is now fueling authority, relevance, and high-intent outcomes in SEO. Here’s what I’ve discovered about its impact.
Digital PR is becoming more crucial than ever—not just a trend or a rebranded link-building tactic. The dynamics of search and discovery are evolving, and here’s why that’s important to me.
Brand mentions, earned media, and the broader PR ecosystem are redefining how search engines and large language models perceive brands. This shift influences how I approach visibility, authority, and revenue in SEO.
Informational search traffic is dwindling. Fewer people are clicking on expansive blog posts for top-of-funnel keywords.
Now, the commercial value is centered around high-intent queries, like product and category pages. Digital PR perfectly aligns with these changes.
Here are seven practical, experience-driven secrets showcasing how effective digital PR is transforming SEO in my view.
Secret 1: Digital PR can be a direct sales activation channel
While digital PR is often seen as a link-building or branding strategy—or recently, a way to influence AI and generative search outputs—its direct impact on revenue is sometimes overlooked.
Being featured in the right media puts your brand before buyers, not during passive awareness but in a critical moment of consideration.
Platforms like Google excel at understanding user intent. Digital PR leverages this by positioning you where your audience is already searching.
Executed well, two outcomes arise:
Your brand gains recognition even if your site already ranks well. Familiarity grows as your name associates with credible insights.
Exposure boosts brand searches and direct clicks. Some readers click through immediately, while others search your brand later, entering your funnel with trust that generic searches lack.
This effect, rooted in recency and familiarity, is hard to single out in analytics but significantly impacts commerce.
I’ve observed this mostly within direct-to-consumer, finance, and health markets, where purchasing is highly active and intent-driven.
In the right environment, digital PR is not just aiding sales—it’s part of the sales engine.
Secret 2: The mere exposure effect is one of digital PR’s biggest advantages
Repeated exposure in relevant media helps build familiarity, turning it into trust and then preference. This is the mere exposure effect—vital for brand growth.
This often happens through syndicated coverage, where a powerful story in regional or sector-specific media results in widespread mentions.
Historically, some SEOs undervalue such coverage due to non-unique links, missing the point.
Repetition builds a network of associations, positioning your brand alongside relevant subjects, influencing public and machine perception alike.
An ongoing digital PR strategy, rather than sporadic major hits, accelerates familiarity growth in both human and algorithmic terms.
Secret 3: Big campaigns come with big risk, so diversification matters
Large digital PR campaigns are tempting, generating excitement and industry approval. However, they also consolidate risk.
Giant campaigns might succeed tremendously or flounder silently, often failing to yield the desired links or mentions.
The reason is simple: what marketers enjoy may not meet journalists’ needs.
Journalists need prompt, engaging stories. If a campaign doesn’t translate well, it will flounder. Overinvestment in one idea leaves no backup.
A diversified digital PR approach spreads resources across smaller efforts and reactive opportunities, ensuring consistent coverage.
In the realm of digital PR, consistent reliability often trumps one-off brilliance.
It’s easy to forget the gatekeeper in digital PR: the journalist.
From a brand’s angle, goals include links and authority. For journalists, it’s about stories that capture reader interest.
They determine if your pitch succeeds, so they are, quite literally, the customer.
Effective digital PR should first simplify journalists’ tasks by offering clear angles, credible data, timely insights, and quick responses.
Helping journalists enriches your exposure, affecting search engines and AI systems favorably.
Treat journalists as partners instead of mere distribution channels.
Secret 5: Product and category page links are where SEO value is created
Not every link is created equal in SEO. Links to product, category, and core service pages are usually more valuable than those to blogs. Yet, securing these links via traditional outreach can be challenging.
Digital PR shines here. It places links naturally within product or service contexts, steering authority to revenue-driving pages.
As informational content’s traffic-generating role diminishes, ranking high-intent pages grows in economic significance.
Sometimes, a few high-quality, relevant links are more valuable than numerous superficial ones directed at top-of-funnel content.
Digital PR planning should prioritize these target pages from the start.
Secret 6: Entity lifting is now a core outcome of digital PR
Search engines have long emphasized context, underscoring the importance of surrounding text and brand descriptions for defining brand identity.
This has escalated with large language models, which interpret data chunks, drawing meaning from context rather than isolating links.
Repeatedly mentioning your brand with specific topics enhances your standing in those arenas, a process known as entity lifting.
This approach extends beyond individual pages, enhancing term and category rankings by bolstering overall authority.
AI systems also increasingly reference consistently relevant brands.
Digital PR offers a scalable method to spread this contextual insight.
Secret 7: Authority comes from relevant sources and relevant sections
Ex-Google engineer Jun Wu explains in “The Beauty of Mathematics in Computer Science” that authority stems from recognition within specific knowledge clusters.
In simpler terms, where you’re mentioned and the context matters as much as the site’s size.
A relevant mention within a prestigious publication’s specific section often surpasses a home-page mention in terms of value.
Effective digital PR should focus on publications and sections aligned closely with your industry and target topics.
That’s how authority is constructed for both search engines and AI systems.
Digital PR is emerging not just as a support tool for SEO but central to how brands are discovered, understood, and trusted.
As informational traffic wanes and high-intent competition surges, successful brands will blend relevance, repetition, and authority across earned media.
Through over 20 years of experience in varying SEO roles, I’ve witnessed a recurring theme: the root of SEO performance issues often stems from organizational factors, not technical glitches.
Many times, problems manifest through decision rights, lack of ownership, and insufficient processes. These often precede noticeable traffic dips, obfuscating the real issues beneath the surface.
The technical fixes may expose symptoms but rarely uncover why progress has stalled.
No governance
The real limitations become apparent much earlier, rooted in reporting structures and decision-making authority. When SEO stumbles, governance—or lack thereof—is often to blame.
I discovered that when ownership of CMS templates was unclear or when cross-departmental priorities conflicted, SEO suffered. It wasn’t until I understood governance that the underlying issues became clear.
Only two companies in my career had the right conditions, with clear ownership and structured release pathways. Leaders recognized the importance of deliberately managing visibility, rather than reacting post-traffic drops.
Elsewhere, metadata and schema often didn’t limit performance. Organizational behavior did.
Beware of drift
Quarterly sales pressures often lead to sites making numerous small, seemingly innocuous changes that accumulate over time. These can range from navigation alterations by a new UX hire to content wording tweaks.
Individually, these shifts may not seem detrimental; however, collectively, they contribute to a decline in performance. This is something industry commentary often glosses over—while tangible technical fixes are more teachable, they aren’t where SEO outcomes are typically determined.
SEO loses power when it lives in the wrong place
I’ve observed how such drift can negatively impact rankings, with SEO unjustly taking the fall. Often, the actual cause was a lack of governance, which became apparent when outside agencies confirmed conclusions I had already reached.
The placement of SEO within an organization’s structure profoundly influences whether potential issues are identified early or only discovered post-launch. It affects whether changes are implemented promptly or languish for months.
SEO embedded under marketing, product, or IT each faces a unique set of challenges, restricting its effectiveness when placed too low on the organizational hierarchy.
Changes by engineering, product, or marketing often ship without SEO input, leading to misalignments that can reduce the efficacy of SEO strategies.
Positioning the SEO function
When SEO lacks proper placement within the organizational framework, it devolves into a reactive, cleanup role. The best results come when SEO is sufficiently integrated to influence early decision-making processes.
Organizations where SEO achieved significant success had the SEO function near leadership, ensuring visibility into upcoming changes and the ability to coordinate across departments.
The most favorable outcomes arose in environments where SEO acted as an integrated part of the infrastructure, reinforcing its importance as a contributor to long-term visibility and consistency.
Managing my website’s URLs efficiently is crucial to prevent crawlers from slowing it down. If you’re like me, you want your site to load fast, ensuring both visitors and search engines have a seamless experience.
Just the other day, I listened to Google’s latest insights on their year-end report for 2025. It was fascinating to hear Gary Illyes discuss on the Search Off the Record podcast about the major crawling challenges Google faces, like faceted navigation and action parameters, which make up a whopping 75% of the issues.
What’s the issue? Well, I’ve learned that crawling problems can seriously impact site performance, potentially making it unusable or inaccessible. Crawlers can sometimes get stuck in an infinite loop on a site, wreaking havoc on server performance.
According to Gary, once a set of URLs is discovered, the crawler has to check a significant portion to determine its quality. By the time this is done, the damage is done—your site slows down dramatically.
The Biggest Crawling Challenges Here’s what caught my attention as the major issues from the report:
50% relate to faceted navigation. These are very common in e-commerce sites where endless filtering options exist for products based on size, color, price, etc.
25% pertain to action parameters. These come from URL parameters that trigger actions instead of significantly changing page content.
10% involve irrelevant parameters like session IDs or UTMs.
5% are due to plugins or widgets that cause confusion by creating problematic URLs.
2% encapsulate other “weird stuff”, which includes strange issues like double-encoded URLs.
Why this matters to me is simple. A well-structured URL strategy keeps my server healthy, ensures quick page loads, and prevents search engines from misunderstanding which URLs should be indexed as canonical.
The Podcast: Here’s where you can listen to the discussion yourself:
I’ve noticed that in today’s digital landscape, our search performance is heavily influenced by how people engage with and trust our content, even beyond the initial click. This concept of Human Experience Optimization (HXO) connects SEO with UX, conversion rate optimization (CRO), and brand signals.
I used to think of SEO as simply figuring out what algorithms liked best—focusing on keywords, links, and technical details. But now, things have changed.
Now, my visibility is more about earning trust and being useful. It’s not just about having the right signals or being easy to crawl; it’s about experience.
Search engines today pay attention to how people interact with brands over time, marking the rise of HXO. This involves enhancing how individuals experience, trust, and engage with my brand across search, content, product, and conversion channels.
Instead of replacing SEO, HXO broadens its perspective to match how search engines now evaluate performance. Experience, engagement, and credibility are becoming essential parts of visibility itself.
Let’s dive into why HXO is crucial now and its influence on the merger of SEO, UX, and conversion strategies.
Why HXO Matters Now
Contemporary search engines now reward outcomes over mere tactics. They align with Google’s focus on user satisfaction rather than isolated page signals.
In practice, we see signals relating to questions like: Do users engage or bounce? Do they come back? Do they recognize the brand later? Do they trust the information enough to act on it?
Today, visibility is influenced by overlapping forces like user behavior signals, brand signals, and content authenticity.
HXO arises in response to the saturation of AI-generated content and diminishing returns from traditional SEO tactics unsupported by a strong experience and brand coherence.
In a nutshell, ignoring human experience is no longer an option if we want to remain competitive.
The Convergence: SEO, UX, and CRO Are No Longer Separate
SEO, UX, and CRO used to operate as distinct disciplines. But that separation doesn’t work anymore.
In modern search experiences, traffic alone means little without engagement. Engagement without a path to action limits impact. Conversion struggles without trust.
HXO acts as a unifying layer: SEO determines arrival, UX ensures understanding, and CRO transforms understanding into action.
In this realm, optimization focuses on supporting attention and trust over time, not just securing a single click.
E-E-A-T is a Business System, Not Content Guidelines
A common misconception is that E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) can be “added” to content with elements like author bios and citations. These help, but E-E-A-T requires more—it’s about long-term brand credibility.
E-E-A-T involves real expertise, transparency, consistency, and accountability, evaluated holistically by search engines.
The consistent systems and patterns reinforce E-E-A-T beyond little tweaks on a page.
First-Hand Experience Signals Are the New Differentiator
Today’s search landscape is filled with well-structured content. First-hand experience, such as original research and insights from lived experiences, sets content apart from mere aggregation.
Creators and operators excel by providing insights that reflect direct involvement and real-world expertise.
This emphasizes the importance of the human element in content creation.
Helpful Content Is a Brand Problem, Not an SEO Problem
Content that fails to be helpful often reflects a lack of clarity in a brand’s positioning and how it serves its audience.
When I look at content that resonates well, it reflects actual understanding of the audience and consistent intent throughout brand interactions.
SEO aids in discoverability, but genuine helpfulness requires brand consistency and deeper alignment.
Closing these gaps involves understanding how audiences experience and engage with the brand beyond a single interaction.
How to Start Practicing Human Experience Optimization
Practicing HXO starts with understanding people and why they search, not just focusing on keywords. It involves transforming keyword strategies into audience strategies and auditing experience across all user touchpoints.
1. Shift to Audience Strategy
Keywords are informative, but we need deeper insights into motivations and contexts.
2. Audit the Complete Experience
Consider trust, clarity, and consistency across all channels and touchpoints, not just individual pages.
3. Align Teams Around Experience Outcomes
Bridging gaps between marketing, product, content, and design teams can achieve more cohesive user experiences.
4. Measure What Truly Matters
Beyond traditional metrics, focus on engagement quality, brand recall, and trust-driven conversions.
Optimize for Humans to Earn Algorithms
Ultimately, HXO is about consistently delivering valuable experiences. Reliable brands in search are grounded in real experiences and useful content, earning visibility through the lasting impressions left on users.
I’m excited to share how combining SEO and AEO competitive research can reveal new opportunities, shape your strategic positioning, and enhance AI visibility before a click even happens.
Competitive research is like striking gold in organic discovery. Clients love seeing where they stand compared to rivals, and these insights pave the way for a multi-layered action plan on crucial topics.
This year, it’s time to integrate answer engine optimization (AEO) research—what I also call AI search—into your organic strategy. Whether or not your executives are already asking for it, the benefits are clear.
In this article, I’ll dive into the unique contributions of SEO and AEO competitive research, the tools at our disposal, and how these insights translate into actionable steps.
Traditional SEO excels at content planning and tackling specific keywords, but the landscape in 2026 demands more. Merging SEO with AI competitive research offers a holistic strategy for messaging, content creation, and even product marketing roadmaps.
Tools like Ahrefs and Semrush are invaluable for SEO, aiding demand capture and keyword mapping, but AI’s emergence in search means we need to pivot focus. SEO should now bolster AI strategies, refine content gaps for AI systems, and validate demand.
AEO tools address different customer journey stages, crafting demand, framing brands, and influencing decisions before a search result click. They synthesize insights like market perception, directly impacting how users see competitor visibility and perception.
With AI insights, I can pinpoint competitor feature expectations, spotlight emerging trends, and verify our strategies align with market explanations. This knowledge empowers us to lead in category perception and ensure our messaging resonates with users.
In tool selection, platforms like Profound, Ahrefs, and ChatGPT offer a diverse suite for both SEO and AEO, each contributing different insights and functionalities. These extend from classic ranking analysis to intricate AI-answer exposure.
Using AI tools alongside traditional methods helps offer a fuller understanding of competitive landscapes. Implementing these insights isn’t just academic—it’s crucial for clients and internal alignment on marketing action plans.
When I integrated WordPress, Sanity, and Slack, I unlocked the ability to effortlessly manage and update content. This integration dramatically improved how customers discover my brand, products, and services through AI Search.
With these native integrations, I’ve streamlined my workflow, enabling me to publish, update, and coordinate tasks more efficiently. This not only enhanced my brand’s visibility but also optimized customer interactions at every touchpoint.
Embracing these tools has revolutionized my content operations, ensuring my digital presence is cohesive and compelling. The ease of use and the seamless syncing of data have allowed me to focus on what truly matters—creating value for my customers.
Analyzing nearly two million LLM sessions across nine industries throughout 2025 was a fascinating journey for me. I began with the assumption that ChatGPT would dominate and that AI usage patterns would be relatively uniform with minimal impact.
The findings, however, were surprising.
While ChatGPT does indeed control 84.1% of the trackable AI discovery traffic, it’s primarily serving as a broad-market tool. This discovery significantly impacts strategic approaches.
In today’s landscape, relying solely on a single discovery strategy is not viable. A multi-platform approach that aligns with how and where users find productivity is essential.
Brands must now discern which platforms are empowering productivity rather than merely supporting initial discovery phases.
Various LLMs are excelling in different sectors, often with stark differences. The key takeaway for 2026 is more complex than simply focusing on ChatGPT.
Here’s what I’ve discovered from the data.
The Growth Rate Divergence: ChatGPT vs. Competitors
Throughout 2025, major LLM platforms exhibited significant growth discrepancies:
ChatGPT: 3x growth
Copilot: 25x growth
Claude: 13x growth
Perplexity: 1x growth
Gemini: 1x growth
Although ChatGPT grew, Copilot and Claude experienced much more rapid growth. Platforms like Perplexity and Gemini remained steady, reinforcing specific workflows.
These numbers highlight strategic priorities:
Satya Nadella celebrated Copilot reaching 100 million monthly users.
Dario Amodei revealed that Anthropic’s revenue grew from $100 million to $8–10 billion in under two years.
Aravind Srinivas noted significant interest in Perplexity Finance.
The focus on growth is crucial because it signals true user value:
Copilot excels in the Microsoft ecosystem.
Claude appeals to developers.
Perplexity thrives among finance professionals.
Different LLMs are thriving in various industries at markedly different rates.
Pattern 1: Copilot’s Striking Growth
Copilot’s remarkable 25x growth is indicative of its premier position in B2B environments reliant on Microsoft tools.
SaaS
ChatGPT: 2x growth
Copilot: 21x growth
The rapid adoption mirrors modern SaaS practices, embedding LLMs directly into workflows.
Education
ChatGPT: 6x growth
Copilot: 27x growth
Copilot benefits from educational settings fostering knowledge sharing and synthesis.
Finance
ChatGPT: 4.2x growth
Copilot: 23x growth
Finance aligns with Copilot due to automation needs and context dependency.
Copilot’s growth is most pronounced in industries where professionals are deeply integrated with Microsoft tools.
Instruments like Excel transform into data interpretation powerhouses with Copilot, eliminating the need for external searches.
Implications
For work-centric audiences like SaaS, finance, and education specialists, AI discovery is shifting into LLMs embedded in workflows.
Pattern 2: Perplexity Shines in Finance
While Perplexity has flat growth overall, it stands strong in finance with a 24% market share, unlike in other sectors where it has diminished.
SaaS: down to 7.3%
E-commerce: down to 3.4%
Education: down to 5.2%
Publishers: down to 3.6%
Finance demands accuracy; thus, traceable sources make Perplexity vital in this sector.
Partnering with Benzinga, FactSet, and others, Perplexity offers in-depth data vital for financial decisions.
Trust and verifiability are crucial in finance, and that’s where Perplexity excels.
Implications
In finance, selection of platforms that integrate with licensed data and credible sources is critical. Success hinges on being part of these authoritative ecosystems.
Pattern 3: Claude’s Dominance in Analysis
With just a 0.6% share, Claude might appear to be an underdog, but it thrives in specialist sectors like publishing and finance.
Publishers: 49x growth
Education: 25x growth
Finance: 38x growth
SaaS: 10.3x growth
Claude’s strength lies in standalone, strategic thinking rather than integrated tools like Copilot.
Publishing professionals and financial analysts use Claude for its substantial context window, enabling complex and strategic queries.
Implications
Target audiences that require in-depth analysis should focus on creating structured and detailed content. Claude’s user base is smaller but highly influential.
Pattern 4: Challenges in Tracking Gemini
The data concerning Gemini is puzzling, showing both growth and declines. This could be attributed to issues with attribution rather than an actual decline in users.
Education: −67% tracked traffic
SaaS: +1.4x growth
Finance: +1.3x growth
E-commerce: +2.7x growth
Gemini’s interaction model keeps users within its ecosystem, making measurement challenging.
The reality is that usage might still be robust, but the tracking systems need to catch up with user behaviors.
Implications
As AI-assisted conversions increasingly occur, traditional last-click attribution models need reconsideration.
Monitor brand search performance and invest in broader visibility strategies.
Strategizing Your LLM Approach
AI discovery is diversifying rather than converging. Tailoring strategies based on your audience’s preferences and behaviors is crucial.
Enterprise Audiences: Focus on Copilot integration for SaaS and B2B environments.
High-Stakes Decisions: Consider Perplexity’s reliability in providing traceable data.
