Author: shivamcrushpressai

Discovering the Top GEO Consultants for Breakthrough Success

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.

The Top GEO Consultants of 2026

Rank	Consultant	Client Results	Published Research Articles on GEO	Media References	Technical GEO Expertise	Years of Experience in SEO	GEO Keynotes	LinkedIn Following	Specialty
1	Evan Bailyn	GEO wins for Salesforce, Microsoft, Chanel, LinkedIn, and US Bank	~35	~2,400	Advanced Generative Engine Optimization	22+	~20	7K	Lead generation, brand building & thought leadership through GEO and SEO
2	Aleyda Solís	SEO/GEO wins with global enterprises	~15	~1,680	Multilingual AI	18+	~20	115K	International & multilingual GEO
3	Lily Ray	Successful consulting for Fortune 500s	~25	~890	AI quality signals	16+	~15	52K	Search quality & AI trustworthiness
4	Kevin Indig	Wins with Shopify, G2, Atlassian	~30	~1,250	LLM traffic patterns	15+	~10	61K	AI search metrics & business impact
5	Marie Haynes	Consulting wins for mid-market and enterprise brands	~20	~750	Agentic Search & AI Overviews	16+	~10	18K	Agentic search preparation & AI citation quality
6	Ross Simmonds	Success with Canva, Jobber, and Procore	~12	~1,100	Distribution strategy	10+	~8	59K	Content distribution for AI visibility
7	Gaetano DiNardi	Wins for 40+ B2B SaaS companies	~10	~600	B2B SaaS AI SEO	10+	~8	50K+	AI SEO for B2B SaaS companies

Evan Bailyn

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

Learn more or reach out via First Page Sage

Summary of Online Reviews

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

Discover more or reach out via Orainti

Summary of Online Reviews

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

More about her work can be found here

Summary of Online Reviews

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.

Inspired by this post on First Page Sage Blog.

June 19, 2026

Unlock UK Ad Potential with OpenAI’s ChatGPT Ad Manager
I’ve discovered an exciting development for UK advertisers as OpenAI launches the ChatGPT Ads Manager in beta. This new tool offers businesses an innovative way to engage with a potentially transformative advertising channel.

OpenAI is expanding its advertising tools, providing UK businesses with early access to the self-serve Ads Manager for ChatGPT. This is a clear indication of OpenAI’s commitment to scaling its advertising capabilities on their fast-evolving AI platform.

What’s happening. According to a recent email from OpenAI, the Ads Manager Beta is now available for UK businesses, allowing advertisers to explore the platform’s potential.

The self-serve interface is user-friendly, built to help businesses quickly set up accounts and dive into campaign management with ease.

How it works. The dashboard is organized into four key areas: campaigns, tools, billing, and settings, ensuring digital marketers find the navigation intuitive and straightforward.

The platform’s interface feels familiar, with campaign controls and user management features easily accessible through streamlined navigation.

For agencies. OpenAI suggests that agencies and freelancers should avoid creating accounts on behalf of their clients.

Clients should independently:
1. Create their own Ads Manager account.
2. Go to Settings → Users → Invites.
3. Invite agency partners with suitable permission levels.
Once invited, users receive an email to accept access and can then switch between client accounts on the platform.

The catch. Unlike Google Ads’ MCC structure, current limitations mean users can’t manage multiple accounts simultaneously in a centralized way. Account switching is required for individual access.

Why we care. The UK launch of Ads Manager represents a significant opportunity for brands and agencies to familiarize themselves with the interface and workflows before it gains wider acceptance.

By eliminating upfront billing requirements and simplifying account creation, OpenAI reduces barriers for marketers eager to explore ChatGPT’s burgeoning advertising environment.

What to watch. The rollout in the UK suggests OpenAI is transitioning from experimental phases to establishing a scalable advertising platform.

Advertisers will soon need to consider inventory, targeting options, measurement tools, and how ads integrate into ChatGPT conversations.

For now, marketers are getting a firsthand look at this promising new ad infrastructure that could shape OpenAI’s future advertising success.

First spotted. This update was first shared by Chris Ridley, Head of Paid Media at Evoluted, on LinkedIn.

Inspired by this post on Search Engine Land.
June 19, 2026
Discover The Marketing Engineer Podcast: Insights for Innovators

Welcome to my introduction of The Marketing Engineer Podcast—your essential listen if you’re a marketer who loves to build. I dive into episodes featuring trailblazing practitioners and leaders who share how they’ve revolutionized their team’s workflows.
In every episode, I promise you’ll hear directly from those who’ve mastered the art of scaling marketing initiatives without compromising on quality. They’ve invented novel capabilities, unlocking potential that many haven’t dared to imagine.

Inspired by this post on Try Profound Blog.

June 19, 2026
Organize Your Profound Space with Folders and Favorites

I’m excited to share that you and I can now easily sort our Agents and Sheets in Profound. The new feature allows us to organize them into folders, sub-folders, and even mark them as favorites for quick access.

Imagine the convenience of having all your important files just a click away, neatly categorized and prioritized as per your needs. This enhancement is designed to save us time and boost our productivity, making our workflow smoother and more efficient.

Inspired by this post on Try Profound Blog.

June 19, 2026
Enhance Teamwork by Using Profound in Slack Effortlessly

I’m thrilled to share how you can seamlessly bring Profound into your Slack workspace. Imagine asking questions and launching projects without switching platforms. It’s a game-changer!
With Profound, you can streamline your workflow, making collaboration smoother and more efficient. Being able to create and manage projects directly from Slack simplifies our daily tasks and fosters a dynamic work environment.

Inspired by this post on Try Profound Blog.

June 18, 2026
How AI Transforms American Search Habits: Insights From Pew

I’ve noticed something remarkable about how we, as Americans, are searching for information these days. Pew Research Center recently reported that 60% of us are now reading AI-generated summaries at the top of our search results, while approximately 40% have turned to chatbots for finding information.

It’s fascinating to see that AI-generated answers are appearing more and more, whether in traditional search results or dedicated chatbot platforms like ChatGPT, Gemini, and Copilot, as Pew discovered.

AI summaries reach most searchers. According to Pew, six out of ten American adults have read AI summaries at the top of search results. Surprisingly, three out of ten haven’t, which suggests room for growth.

Interestingly, another 10% are unsure if they’ve read AI summaries. It seems some of us may not clearly recognize them when they pop up in our search results. The research also found that men are slightly more inclined than women to read these summaries, with 63% versus 57%. Those of us aged 65 and older are less likely to engage with them.

Chatbots are search tools. Chatbots are increasingly becoming popular search tools. About half of American adults have used AI chatbots, which is a jump from one-third back in 2024. What’s more, about one in four of us make use of them daily.

The most common reason we use chatbots? Searching for information. Around 40% of adults turn to chatbots for this purpose, more than for entertainment, media creation, or even advice on fitness and medical matters. Interestingly, work-related tasks follow closely behind, with 38% of employed adults utilizing chatbots at their jobs.

ChatGPT dominates. ChatGPT remains the most popular chatbot by a significant margin. Pew indicates that 44% of U.S. adults have now engaged with ChatGPT, which is up from 34% last year and over twice the number reported in 2023.

Gemini takes second place, with about a quarter of us using it, followed by Copilot and Meta AI. Tools like Grok, Claude, and Character.ai have a much smaller audience, with only about one in ten of us using them, if at all.

Why we care. In today’s world, finding information doesn’t just mean looking at traditional search results. We now also find answers through AI summaries and chatbot responses, which is a fact worth noting, especially when it comes to understanding where people are sourcing their information.

Dig deeper. For more insights on AI search adoption and consumer trust, check out the study.

About the data. Pew Research Center gathered this data by surveying 5,119 American adults from February 17-23, 2026, via its American Trends Panel. The margin of error for this study is plus or minus 1.6 percentage points.

The report. For a more detailed look at the survey, visit Americans and AI 2026: Chatbots, Smart Devices and Views on Impact.

Inspired by this post on Search Engine Land.

June 18, 2026
Unlock Enhanced Ad Performance with Google’s New Conversion Beta
In a significant move, Google Ads has launched a beta feature that allows advertisers like me to connect additional data sources directly to website conversion actions. This innovative step gives us a chance to enhance tag-based measurements using our backend conversion data.

The new feature equips advertisers to merge conversion signals gathered through Google tags with transactional data from various platforms, such as CRMs, order databases, and e-commerce systems.

What’s new. Now, I can append an additional data source to an existing website conversion action via Google Ads Data Manager or through the Data Manager API.

Designed to enhance—not replace—website tagging, this beta allows us to send conversion data from backend systems into the same conversion action utilized for campaign measurement and optimization.

Why we care. This beta is crucial for filling conversion measurement gaps by fusing Google tag data with our first-party data from backend structures like CRMs. It helps us capture conversions that might be overlooked due to browser limits, privacy settings, or ad blockers, providing a fuller view of campaign performance.

Why Google launched it. Google indicates that combining tag-based measurement with backend conversion data allows advertisers to construct a more comprehensive picture of conversions, subsequently boosting campaign performance.

Here’s what this feature helps achieve:
- Recover conversions that may escape website tags.
- Enhance measurement resilience.
- Deliver more exhaustive data for automated bidding.
- Simplify data integration through the Data Manager.
How it works. The system combines website conversion data captured by Google tags with conversion records uploaded from an advertiser’s backend systems.

To avoid duplicate reporting, Google utilizes transaction IDs to identify and de-duplicate conversions between the tag and the supplementary data source within the same conversion action.

What advertisers need to know. The beta is currently restricted to website conversion actions that implement Google tags or Google Tag Manager.

It’s not available for:
- Google Analytics imported conversions.
- URL-based conversion actions.
Google advises attaching an additional data source to an existing conversion action rather than initiating a new one to eschew potential double-counting across campaign goals.

Data requirements. Each upload must encompass:
- Transaction ID.
- Conversion date and time.
Advertisers need to supply at least one attribution identifier, like hashed customer data or a Google click identifier.

Google suggests that I upload conversion data as swiftly as possible and ensure the conversion values match the currency format utilized by website tags.

Bottom line. This beta signifies Google’s ongoing effort to bolster conversion measurement by integrating backend transaction data directly into Google Ads. As we seek more comprehensive performance insights, this feature provides a streamlined means to enhance website measurement using first-party business data.

Inspired by this post on Search Engine Land.
June 18, 2026
Boosting USA Today

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As I work to adjust our workflow for breaking news, I

Inspired by this post on Search Engine Land.

June 18, 2026
Discover the Power of Google’s New AI Agent for Ad Manager

I’m excited to share that Google has taken a significant step in integrating Artificial Intelligence into publisher workflows by launching a new AI agent called Ask Ad Manager. This innovative tool leverages a Gemini-powered assistant to help us analyze performance and take action seamlessly through a user-friendly chat interface.

Google is embedding AI into publisher workflows, making it easier to analyze performance and act on insights from a chat interface.

Incorporating generative AI into Google Ad Manager, Ask Ad Manager is specifically crafted to assist publishers like myself in analyzing performance, troubleshooting issues, and navigating the Ad Manager platform effortlessly by using natural language.

The beta version is set to roll out this month, marking Google’s deeper foray into AI-supported ad operations.

What’s happening. Ask Ad Manager acts as a conversational AI agent dedicated to Google Ad Manager users who are publishers. Unlike conventional reporting tools, it allows us to pose questions in everyday language and receive tailored answers, recommendations, and reports based on our own Ad Manager data.

Google assures that this tool is engineered to help us swiftly transition from analysis to action, drastically reducing the time spent on generating reports, diagnosing issues, and navigating the Ad Manager platform.

What it can do:

Troubleshoot delivery issues. Instead of manually gathering reports to understand why certain line items are underperforming, I can now ask the AI agent questions and receive insights on the possible causes and recommended next steps.

Generate reports on demand. With a simple prompt, I can request customized metrics, benchmarks, and performance reports without the hassle of building multiple reports manually.

Navigate Ad Manager faster. Ask Ad Manager guides me to relevant pages on the platform and automatically applies suitable filters and settings rooted in the ongoing conversation.

Why we care. As a publisher managing large inventories and complex campaigns, having the capability to quickly uncover insights and diagnose issues can significantly reduce operational workloads and speed up decision-making processes.

Moreover, this feature signifies a broader trend in ad tech towards employing AI agents that not only generate information but also enhance workflows and task execution.

Looking ahead. According to Google, Ask Ad Manager marks just the start toward a future they envision as being more “agentic”, enhancing advertising operations comprehensively.

Google plans to unveil additional AI features throughout the year, incorporating developer tools like REST APIs and an MCP server aimed at supporting workflow automation and integration efforts.

They’re also working on developing specialized agents that could assist publishers and agencies in exploring inventory, negotiating deals, and executing campaigns with improved efficiency.

Bottom line. Ask Ad Manager introduces Gemini-powered assistance directly within Google Ad Manager. It offers a novel way for us publishers to access insights, resolve issues, and manage advertising operations all through natural language prompts.

Inspired by this post on Search Engine Land.

June 18, 2026
Boost Your Brand’s Visibility with AI Shopping Insights

Over the past few months, I’ve been diving deep into the world of AI comparison shopping. Let me guide you through how it works and what fuels AI recommendations, so you can enhance your brand’s presence in these AI-driven product comparisons.
Understanding AI’s role in product comparisons is crucial. AI algorithms evaluate vast amounts of data to make product recommendations that are both relevant and tailored to user preferences. My goal is to unravel these mechanisms and equip you with strategies that improve how your brand is perceived in AI shopping lists.
By the end of this guide, you’ll have actionable insights on boosting your brand’s visibility in AI comparisons, a key factor in capturing consumer attention in today’s digital landscape.

Inspired by this post on HiGoodie Blog.

June 18, 2026