I’m looking at a major ChatGPT response update that rolled out in mid-October, and the shift is clear: brand visibility inside AI-generated answers has become more competitive.
With this update, ChatGPT changed how brands appear in its responses, which means fewer easy mentions and a tougher environment for companies trying to show up in answer engines.
Using Answer Engine Insights, Profound analyzed millions of prompts across ChatGPT and other leading answer engines to understand what changed, where visibility moved, and how different categories were affected.
For me, the key takeaway is that AI visibility now depends on stronger entity signals, clearer brand authority, and a deeper understanding of how answer engines decide which names deserve to appear.
I use Query Fanouts in Profound to understand how Answer Engines turn a prompt into the search queries that shape AI-generated answers.
In this guide, I walk through Profound’s new Query Fanouts page step by step, focusing on how prompts are interpreted, which queries carry the most weight, and how those queries influence visibility inside AI answers.
For AEO teams, this view makes the optimization process clearer. I can see where an answer engine is looking for supporting information, identify the queries that matter most, and spot the strongest opportunities to improve content, authority, and brand visibility.
By expanding my analysis beyond the original prompt, I get a more practical view of the full search pathway behind an AI response. That makes it easier to prioritize the work that can actually improve performance in answer engines.
Recently, as AI-powered search has taken center stage, I’ve been pondering a common question many marketing leaders face: not whether to invest in Generative Engine Optimization (GEO), but rather, who is the right expert for this game-changing strategy.
To answer this, I decided to delve deep, gathering extensive data on 43 top GEO practitioners. I carefully evaluated each consultant against seven essential, weighted criteria to serve as a guide on who currently stands out in the field.
My evaluation metrics included:
Client Results (25%): Demonstrable GEO successes with renowned brands.
Published Research Articles on GEO (20%): Number of innovative studies and methodologies published, reflecting an expert’s methodological depth and reproducibility.
Media References (15%): Frequency of mentions in notable industry and general publications, which acts as proof of the expert’s thought leadership.
Technical GEO Expertise (15%): The practitioner’s profound knowledge and skill in GEO and SEO strategies.
Years of Experience in SEO (10%): Direct hands-on SEO years; even as GEO evolves, SEO fundamentals remain an invaluable metric.
GEO Keynotes (10%): The number of significant conference appearances dedicated to GEO and AI search trends.
LinkedIn Following (5%): An indicator of thought leadership and influence in the digital community.
After meticulous consideration, I identified the leading consultants in GEO, and here are the insights presented in the table below.
Evan Bailyn founded First Page Sage in 2009 and has remarkably transformed it into the largest GEO firm in the U.S. His pioneering work recognized generative engine optimization as a crucial marketing discipline by 2023.
His strategy is rooted in fostering thought leadership content that AI algorithms frequently reference. In April 2026, I found him delivering a keynote at the AEO Engine event, helping companies develop strategic research and scalable client delivery approaches.
Client Results: Outstanding GEO achievements with Salesforce, Microsoft, Chanel, LinkedIn, and US Bank
Published Research: ~35
Media References: Exceeding 2,400 mentions
Technical GEO Expertise: Advanced proficiency in Generative Engine Optimization
SEO Experience: Over 22 years
GEO Keynotes: ~20 speeches
LinkedIn Following: 7,000 followers
Specialty: GEO and SEO strategies for lead generation, branding, and thought leadership
Clients appreciate Bailyn for his “unique, data-backed, and meticulously precise analysis,” along with a reputation for “highly tailored and instantly actionable strategies.” Yet some warn that “his calendar is often booked well in advance.”
Aleyda Solís
I discovered Aleyda Solís as the visionary behind Orainti and the LearningAIsearch platform. Her work sheds light on the intricate world of multilingual and international GEO, emphasizing the need for linguistic flexibility beyond English-speaking markets.
Her insights highlight a critical gap: AI systems, predominantly trained on English data, often falter in other languages. For global brands navigating diverse markets, Solís brings unmatched geographic and linguistic depth to the table.
Client Results: Success with global enterprises in SEO/GEO
Published Research: Around 15 articles
Media References: ~1,680 citations
Technical GEO Expertise: Focused on Multilingual AI
SEO Experience: Over 18 years
GEO Keynotes: ~20 delivered
LinkedIn Following: 115,000 followers
Specialty: Navigating international and multilingual GEO challenges
International clients praise Solís for having “deep cross-market GEO fluency” and for crafting “practical multilingual frameworks.” However, those targeting English-only markets may need to “adapt portions of her guidance.”
Lily Ray
Founding Algorythmic, Lily Ray has emerged as a thought leader on E-E-A-T, focusing her research on how these quality signals influence AI citations in LLMs. Her diagnostic skills are essential for brands excelling in traditional SEO but lacking AI presence.
Ray offers a laser-focused strategy, filling E-E-A-T authority gaps to enhance AI search visibility. However, for broader needs like content strategy or technical execution, her work complements rather than replaces a complete GEO program.
Client Results: Triumphs with Fortune 500 brands
Published Research: ~25 papers
Media References: ~890 mentions
Technical GEO Expertise: Specializes in AI quality signals
SEO Experience: Over 16 years
GEO Keynotes: ~15 published
LinkedIn Following: 52,000
Specialty: Enhancing search quality & AI trustworthiness
Professionals and clients appreciate Ray’s “diagnostic approach for AI search gaps,” valuing her for “evidence-based, rigorous recommendations.” While some find her methods “conservative,” this conservatism is often considered a strength.
Hey there! Have you ever wondered what GEO is and how it can supercharge your content’s visibility and engagement in AI-based search engines like ChatGPT and Gemini?
I’m excited to share my insights on optimizing your content specifically for these AI platforms. Think of GEO as the key to getting noticed in the digital realm where AI engines are becoming the norm.
By mastering Generative Engine Optimization (GEO), you can pivot your strategy to cater to AI Overviews, boosting your reach by ensuring your content is relevant and easily discoverable. Let’s dive into this transformative journey together!
Between March and June of 2026, my team and I dove into an extensive study of 47 digital marketing agencies specializing in generative engine optimization (GEO) for senior living communities. Our goal was to evaluate each one based on specific weighted factors to rank the top players in this niche.
We considered several critical metrics including:
AI Visibility Score (25%): We looked at how effectively each agency integrates clients into AI platforms like ChatGPT, Perplexity, and Google Gemini, rating them from 1.0 to 5.0.
Leadership Experience Score (20%): This score evaluated the depth of the leadership team’s experience in senior living marketing and GEO, again rated between 1.0 and 5.0.
Average Review Score (20%): We pulled ratings from trusted platforms including Google, Clutch, and G2, to score these agencies from 1.0 to 5.0.
Notable Clients (15%): We assessed the quality and prominence of senior living clients in each agency’s portfolio.
Year Established (10%): We considered the agency’s longevity and track record in the digital marketing space.
Media References (10%): We analyzed how often agencies were cited in authoritative publications to gauge their industry standing.
Our thorough analysis led us to identify the top senior living GEO agencies of 2026.
The Top Senior Living GEO Agencies of 2026
The agency that stands out at the top of the list is First Page Sage. Their AI Visibility Score is unparalleled, and their consistent results for senior living clients set a benchmark in the industry. It’s fascinating to see how Evan Bailyn, the CEO, leveraged early research on AI platform recommendations to shape their impressive approach.
First Page Sage ensures that their clients are prominently featured when families turn to AI platforms for guidance. Their remarkable lead quality has consistently distinguished their GEO work in the industry.
Here’s a quick overview of how these agencies are making waves:
Genevate combines GEO with strategic PR to position their clients as trusted authorities across AI platforms.
Focus Digital offers budget-friendly solutions without compromising on quality, appealing to smaller senior living communities.
Signal Hill Strategies lends its healthcare expertise to navigate the complexities of medical compliance in marketing.
CCR Growth is entirely focused on senior living GEO strategies, tailoring efforts from discovery through sales process to occupancy.
Love & Company integrates brand development with their four decades of experience to support long-term growth.
Senior Living Smart expertly combines technology and marketing automation, seamlessly nurturing leads into residents.
SageAge brings a comprehensive approach by blending traditional and digital marketing strategies for a cohesive brand presence.
Overall, these top agencies are redefining how senior living communities engage with families through cutting-edge generative AI optimization.
In my latest exploration, I dived deep into the world of marine and maritime marketing agencies. I closely examined 29 firms dedicated to serving sectors like recreational boating, commercial maritime, yacht brokerages, marine technology, marina operations, and offshore services. What I found was enlightening. Each agency was rigorously evaluated based on five key factors that I consider essential.
The criteria included the innovative AI Visibility Score, where I looked at how effectively these agencies could place their marine clients in the limelight of platforms like ChatGPT, Perplexity, Claude, and Gemini. It wasn’t just about having a presence; it was about being recognized. I also considered the prestige of their notable clients, coupled with the leadership experience that tipped the scale in their favor.
Add to that the customer review scores sourced from trustworthy platforms and the number of media references that showed their industry influence, and you’d get a clear view of what makes an agency stand out.
Allow me to present the seven highest-scoring agencies, each a powerhouse in its own right, capable of shaping the future of maritime marketing.
I’ve often wondered how people are truly interacting with AI technology and what those interactions mean for our digital strategies. As I dive into recent survey data, it’s clear that real-world users are blending short queries with personal context, altering how brands achieve visibility in AI-driven searches.
Initially, I was surprised to learn that most people don’t use AI in the manner many Generative Engine Optimization (GEO) discussions suggest. Through surveys conducted by Stella Rising, where I’m the VP of SEO, we discovered that many AI prompts closely resemble traditional search engine queries.
For instance, in a beauty-focused study from August 2025 and a general study from January 2026, most prompts were succinct and keyword-driven, much like a Google search. However, many users are now providing AI systems with personal details, such as location and preferences, creating a deeper level of personalization.
Based on these findings, it’s evident that GEO strategies need to embrace this dual approach: accommodating classic keyword searches while optimizing for prompts enriched with personal context. This challenge presents a significant opportunity for brands willing to navigate this new landscape.
A lot of people are still typing like it’s 2008
A significant revelation from the surveys is that typical AI users still submit minimal inputs, hoping for optimal results.
Notably, our January general-audience study indicated:
Two-thirds of users wrote prompts with 15 words or less.
Only a small faction, about 12%, crafted what might be considered a comprehensive AI prompt.
Most framed their questions while very few issued direct commands.
When I replicated a basic scenario — asking for a shoe recommendation — the average response consisted of eight words. Real entries included queries like:
“Shoes nearby”
“Tennis shoes”
“Nike”
“Ladies tennis shoes size 7 near me”
“Best price for hiking shoes”
These align closely with findings from Semrush’s clickstream data, showing that the average prompt ranges between 4.2 and 8.7 words, paralleling standard Google queries. Structured, detailed prompts often surface in tasks beyond simple searches, like coding or content creation.
The shift between the two surveys
In the beauty-focused August 2025 survey, nearly half the prompts were firm, SEO-keyword-shaped. However, by January 2026, such prompts reduced to about 30%, with richer context becoming more prevalent.
Key observations included:
Nearly a quarter incorporated the term “best,” highlighting an opportunity in “best [category]” visibility.
A noticeable percentage mentioned budget or price, pointing to financially mindful consumers.
“Near me” remained a common phrase, adapted from Google to AI interactions.
A notable share included personal attributes, reinforcing the importance of personal context in queries.
However, the varying audiences surveyed offer caution. The 2025 beauty panel represented a unique demographic, while the 2026 group was more general and transactional, showcasing more complex query evolution.
The user embedding layer is where this gets interesting
The data revealing that 32% of users incorporate personal context into their prompts is significant. This includes details like job roles or life scenarios that traditional search queries do not capture. Real-world queries from users might include:
“What shoes are ideal for standing all day at work?”
“Find affordable running shoes on Amazon; size men’s 10.”
“Suggest trendy, comfy women’s shoes, size 8 wide, under $120.”
The last example incorporates several layers of identity and specifics, which typical search engines never explicitly addressed. The embedding layer fuels AI’s ability to ‘know’ its user, leveraging past interactions to tailor responses, and it’s a game-changer for brand visibility.
Brands need to recognize that purchase-driving prompts often diverge from those seen in search engine results pages (SERPs). Real prompts hold significant buying influence and highlight the importance of context-rich brand mentions within AI interactions.
Where synthetic prompts fit — and where they don’t
Constructing synthetic personas helps test AI models’ representation of different user traits. However, synthetic prompts frequently miss the nuanced, ongoing dialogue a real user shares with AI tools. These personas can illuminate potential brand-user interactions but shouldn’t be the sole basis for measuring success in AI visibility.
Instead, complement synthetic prompts with insights from real user interactions for a holistic view. Pull real-world data from customer inquiries, support tickets, and search patterns to gauge true user engagement with your brand.
What to actually track
The current dynamics in AI search query patterns prompt us to reconsider our tracking strategies. With retrieval rates soaring, traditional SEO keywords are far from obsolete in AI contexts.
Yet, it’s crucial to focus tracking efforts wisely. Generic terms or single-brand queries may not yield insightful visibility information. Here’s how I recommend setting up an effective tracking framework:
Use synthetic-persona prompts to cater to user embedding layers.
Gather a set of real prompts from various data inputs for short, retrieval-invoking prompts.
Maintain a qualitative set of context-heavy prompts to ensure content relevance and thoroughness.
What the broader data tells us about AI search
Further insights from January 2026 underscore why these prompt configurations matter in AI search:
Users increasingly trust AI recommendations
Approximately 68% of respondents trust AI recommendations more than Google’s, highlighting a trust transition driven by personalization and a lack of advertising clutter.
AI search is becoming a daily habit
Half of active AI users engage with these tools daily, gradually shifting dependency from Google to AI for common tasks. This shift signifies a change in how search habits are being shaped by AI convenience.
Citations still drive traffic
A substantial number of users still click on citations, validating that mentions within an AI context act as a gateway rather than an endpoint, showing the importance of monitoring and optimizing referral traffic through AI channels.
Voice may finally be having its moment
Voice interactions are finally seeing substantial usage, suggesting the long-predicted rise in voice-activated search is materializing, reinforced by the data from Ahrefs indicating visible shifts in clickthrough patterns.
In summary, AI search is taking form as a more personalized, interactive endeavor. It blends traditional intent with modern layers of user context, posing new demands and opportunities for content optimization. SEO and GEO strategies need to align closely with these evolving practices to maintain competitive edge.
What changes — and what doesn’t
As an SEO strategist, here are my top three recommendations for leveraging these insights:
Revamp Your Prompt-Tracking Strategy: Blend synthetic prompts with real user inputs for a fuller understanding of AI visibility.
Align Content with User Embeddings: Identify key user personas and ensure your content addresses their specific needs.
Continue SEO-Keyword Optimizations: Traditional searches still play a crucial role, especially with high retrieval rates in play.
It’s vital to recognize that while AI evolves, many users still engage reminiscent of Google’s era, albeit within a platform more attuned to their specific contexts. This understanding guides where our optimization efforts must focus, staying attuned to changing user interactions and preferences.
The August 2025 study surveyed 178 members of Stella’s community specializing in beauty, while the January 2026 survey covered a broader user base of 524 active users with some margin of error. These insights offer a directional lens into the broader adoption and interaction patterns within the AI space.
I’ll be honest; the ongoing discourse around the GEO debate feels like a distraction from a much more significant transformation. AI systems are reimagining how brands, sources, and recommendations are surfaced, demanding our full attention.
It’s both impressive and frustrating how search has managed to spark such passionate debate at a time when it should be becoming more pivotal to clients. Yet, our industry is stuck in arguments that render us irrelevant.
So, who truly owns the future of search? That’s the real question we need to tackle.
Who defines the next phase of search? Who secures the budget? Who articulates the shift from a list of links to a machine-driven recommendation system?
The phrase “it’s just SEO” has caused considerable damage. It sounds like the calm, seasoned wisdom you’d expect from a search veteran. However, it lacks strategic depth. It’s a meme that constrains one of the most substantial commercial opportunities in years.
Why Memes Matter in Search
Memetics isn’t a new concept. Richard Dawkins introduced it in “The Selfish Gene” in 1976, suggesting that ideas spread through culture in a fashion similar to genes. Susan Blackmore expanded on this, claiming we’re essentially ‘meme machines’ built to propagate cultural information. The most resilient ideas aren’t necessarily true; they’re the stickiest.
Take “Happy Birthday to You,” it’s memorable and universally known not because it’s brilliant, but because it’s easy to replicate and emotionally fulfilling. Slogans and professional clichés endure for their simplicity and utility, not their accuracy.
SEO and GEO are entangled in a memetic struggle. This issue is amplified as the phrase “it’s just SEO” became predominant when GEO appeared, driving a wedge into meaningful conversation.
When GEO first came into the discussion, reactions varied. While some recognized the need for new tools and methods, others viewed it as a threat, repelling it with the phrase “it’s just SEO” — turning it into a chant and then a weapon. It was an ideal meme, short and socially protective.
The follow-up meme “GEO grifter” did even more harm, framing advocates of GEO as opportunists and stifling exploration and innovation. This behavior causes harm when consensus forms based solely on repetition, with the algorithms rewarding those repeating the framing, creating a false sense of agreement.
Clients Seek Certainty, Not Acronyms
I’ve observed firsthand at conferences like BrightonSEO that many marketers are already leveraging generative systems. They don’t need debates over terms; they’ve adapted to new processes accordingly.
SEO has always been difficult to sell against paid counterparts due to previous uncertainties and failures. Nonetheless, good SEO generates tangible success. Failing to clarify the changes will see budgets drift elsewhere, especially to paid avenues.
The B2B Institute’s Findings
According to LinkedIn’s B2B Institute, growth for B2B brands stems from being easy to locate. Digital environments now demand visibility across new platforms.
The report views GEO as an extension of SEO and emphasizes establishing authority, relevance, and credibility. Discoverability is altering, yet core principles endure.
The 9 a.m. to 5 p.m. Dilemma
“It’s just SEO” oversimplifies a vast concept. When someone insists GEO is “just SEO,” I must ask — which kind? Each interpretation involves different practices and focuses.
If our response to generative systems is “helpful content,” we’re on the wrong track. The future demands more than vague promises; it requires adopting digital PR, brand strategies, and tactical marketing insights.
No Name, No Funding
Markets can’t invest in what they don’t recognize. Naming GEO is crucial as it turns abstract threats into actionable categories. Without a name and a defined category, the industry will fail to secure the investments needed to thrive in an altered landscape.
Ultimately, whether we call it GEO, AI search visibility, or SEO evolved, defining it ensures survival and growth. Brands that embrace this will capture opportunities that arise as search evolves.
A New Framing for Change
It’s time to acknowledge change and redefine the narrative. The transformation involves becoming the recommended brand — present, visible, and credible. It’s about expanding SEO to embrace the broader spectrum of digital marketing.
Adapting to these shifts will ensure brands maintain their visibility as search continues to evolve. Those clinging to outdated debates are at risk of missing out entirely.
From January through April 2026, my research team and I dove into a detailed analysis of 72 marketing agencies specializing in Generative Engine Optimization (GEO) services for pest control companies. The results were intriguing and insightful.
We evaluated each agency using specific criteria, focusing on key performance aspects:
Average Review Score (30%): We’ve gathered and combined ratings from Google, Clutch, G2, and client testimonials.
Notable Clients (25%): Agencies with a strong portfolio of pest control clients demonstrating industry-specific expertise stood out.
Leadership Experience Score (20%): C-suite experience in GEO, pest control marketing, and digital strategy were critical factors, rated on a 1-5 scale.
Year Founded (15%): Longevity and adaptive capability in a fast-changing digital landscape were important indicators.
Company Size (10%): The capacity to execute comprehensive GEO campaigns was assessed.
Using this comprehensive algorithm, we ranked the agencies based on their composite scores. Below is a table showcasing the top contenders, followed by detailed reviews of each.
First Page Sage has been a trailblazer in Generative Engine Optimization since 2023, making it the go-to agency for pest control companies ready for a GEO revolution. What sets them apart is their unique focus on measurable outcomes aligned with pest control companies’ KPIs, including revenue and customer acquisition metrics.
With a committed, detail-focused team, First Page Sage assigns a dedicated GEO strategist, project manager, reporting analyst, web developer, and writer to each client. This ensures consistent delivery of key analytics and strategic recommendations amidst evolving AI trends and market dynamics.
Their collaborations with brands like Terminix, Greenix, and Truly Nolen showcase how they build influential GEO strategies, positioning clients as leading authorities that AI platforms frequently recommend for pest control needs.
Average Review Score: 4.9 Notable Clients: Terminix, Greenix, Truly Nolen Leadership Experience Score: 4.9 Year Founded: 2009 Company Size: 100-250 Specialty: Lead-focused GEO and comprehensive SEO
Summary of Online Reviews
First Page Sage enjoys accolades for “seriously taking organic lead generation” with responsive account managers who deliver “hundreds of new sales leads.” Clients are particularly impressed by their “innovative GEO approach,” making them a “go-to expert” in AI platform solutions.
Looking at data from 10 websites, I discovered why original research, innovative tools, and answer-focused content often outperform generic educational articles in the GEO realm.
Some marketers believe GEO might replace SEO, while others say robust SEO is enough for AI visibility. So, I decided to dig into both perspectives by examining LLM referral traffic and organic traffic across 10 different sites.
Here’s what I found out about how AI search leans towards specific content patterns that differ from traditional organic search.
3 Key Findings from the Dataset
1. Traditional SEO Content Strategies Fall Short for GEO
I noticed blog content themes were a strong predictor of LLM traffic. Educational “comprehensive” guides often underperformed compared to shorter posts with unique data.
Trends and analysis posts were cited by LLMs 78% of the time. Posts featuring unique data held a significant lead in the citation pool, while educational how-to content lagged behind at a mere 12%.
It became clear that producing content rich in data and measurements significantly boosts your chances of entering the LLM citation pool. On the other hand, generic educational content might not make the cut.
2. Organic Success Doesn’t Ensure LLM Traffic
In my analysis, the top 10 organic pages captured over half the organic sessions but only 29% of LLM sessions.
Your most successful organic content may not necessarily perform well with LLM traffic. Among the top 100 organic pages, nearly half didn’t receive any LLM traffic at all!
Although there’s some correlation between organic performance and LLM traffic, the two aren’t equivalent.
3. Service/Product Pages Excel in LLM Traffic
While articles and blogs brought in most LLM referrals by session count, service and product pages outperformed others when LLM sessions are considered per 1,000 organic sessions, making them significant performers.
Page type
LLM sessions per 1,000 organic
Service/product
29.4
Article/content
23.4
FAQ/support
14.0
Tool/demo
9.8
Homepage
5.6
Turning my attention to practical insights, it was evident that crafting authoritative content that offers specific answers can significantly enhance LLM traffic. Integrating interactive tools emerged as another powerful approach. When LLMs recommend tools, they drive targeted traffic effectively.
The Methodology Behind My Case Study
I analyzed GA4 data from 10 diverse websites, covering 150,000 indexed pages in March 2026 to gather these findings.
The domains, handpicked for their varied industries and consistent SEO performance, ranged across healthcare, technology, retail, and more, ensuring a balanced view.
I meticulously isolated LLM-referral traffic using GA4 channel groupings and segmenting referrer paths, focusing on sessions from major AI platforms like ChatGPT.
Content type categorization helped me compare LLM citations, while I used per-page averages from GA4 for engagement time analysis.
It’s worth mentioning that LLM bot crawls aren’t captured by GA4, as they make server-level requests before client-side JavaScript loads. Thus, the organic session data reflects only human visitors.
What LLM Traffic Patterns Reveal About Engagement
LLM Referral Behavior vs. Organic Traffic
Analyzing engagement time across traffic types revealed averages were similar—yet disparities emerged across different page types.
Page type
Organic avg. time
LLM avg. time
Tool/demo
101 seconds
146 seconds
Homepage
36 seconds
82 seconds
Service/product
69 seconds
63 seconds
Article/content
56 seconds
40 seconds
Tools and homepage content saw heightened engagement from LLM users, suggesting they look for actionable insights rather than merely seeking information.
Recognizing the Potential of Interactive Tools with LLM Traffic
Interactive tools received the highest per-page LLM citations, and these tools were prominently featured by LLMs in response to relevant user queries.
Emergence of LLM-only Traffic
Interestingly, some LLM-receiving pages recorded no organic clicks, which could signify unique discovery mechanisms. This study showed engagement quality on these pages was notably high, driven by LLM-directed users ready to engage.
GEO Tactics Supported by Data
Answer Questions LLMs Can’t Address Themselves
It was evident that generic educational content is often redundant for LLMs. Content differentiation comes from original research and proprietary insights.
Investing in research and verifiable data can significantly enhance your content’s GEO impact.
Implement Answer Capsules
Research shows answer capsules, concise responses placed prominently, are strongly favored by LLMs for citation.
By providing direct answers early, the pages excelled in LLM traffic.
Maximize Named Interactive Tools
If your site includes calculators or assessments, highlight them for GEO success. Ensure they are easily found and provide valuable, targeted insights.
Separate Tracking for Organic and LLM Pages
Recognizing that organic and LLM hits don’t always align, thoughtful mapping based on AI queries can reveal high-quality LLM traffic opportunities.
Pages that solely receive LLM attention can still hold value, as users arrive prepared for deeper engagement, driven by AI direction.
Same Strategies, Different Tactics in GEO and SEO
This analysis highlighted that while GEO coexists with SEO, it demands distinct page tactics. As zero-click searches grow, understanding and leveraging these nuances becomes crucial.
By constructing content that answers specific questions with original data and strategic uses of GEO tactics, you can optimize for both systems. Keep in mind, mastering one does not automatically ensure success in the other.
