Most teams start looking for a GEO or AEO consultant with a name they saw on LinkedIn. A better starting point is the problem. "AI never recommends us" needs a different expert than "we lost our Google traffic" or "we have no idea what ChatGPT searches for behind the scenes."
This guide is built that way. Each consultant below is matched to the problem they are strongest at solving, with public proof you can check and what working with them actually looks like.
GEO (generative engine optimization) is the work of getting a brand named and cited inside answers from ChatGPT, Gemini, Claude and Perplexity. AEO (answer engine optimization) is the closely related work of becoming the quoted answer in Google's AI Overviews, AI Mode and featured snippets. The same consultants usually do both, and both rest on solid SEO, because AI engines still lean heavily on pages that rank well.
The problem he solves: B2B SaaS companies that are missing when buyers ask AI which vendor to choose.
Ran is the founder and CEO of Arobis AI, an AI Search Demand Generation agency built for B2B SaaS. Before starting it he led marketing at five B2B SaaS companies as CMO and VP Marketing, so he treats AI search the way a buyer of marketing would: the only result that counts is showing up in the answers buyers read right before they book a demo.
Every engagement starts with an audit he runs himself. He tests 40 buyer prompts across ChatGPT, Gemini, Claude and Perplexity, records which competitors get recommended instead, and ranks what to fix first. His team then does the work, from rewriting pages and fixing structured data to earning mentions on the third-party sources AI engines trust, and tracks ChatGPT, Gemini, Google AI Overviews and AI Mode every night in a private client portal.
Proof you can check: one B2B software client went from being named in none of its five most important buyer prompts to all five within 60 days, and became the most recommended of eight brands in its category. Ran also built a free AI Visibility Checker used on more than 2,300 websites, and writes about AI search for 20,000+ followers on LinkedIn.
Working with him: an AI visibility audit first, then a done-for-you program. Prices are published: audits from $399 and retainers from $2,500 a month.
Good fit: B2B SaaS teams that need pipeline from AI answers. Not the right fit: consumer brands and local businesses.
Ran Yosef on LinkedIn | Arobis AI
The problem he solves: brands that are invisible in the places AI answers borrow from, such as reviews, Reddit, video and communities.
Ross is the founder and CEO of Foundation, an agency that positions itself as an AI visibility agency for B2B tech and SaaS and runs a dedicated generative engine optimization service. His long-running theme is distribution: creating content once and getting it in front of people everywhere they already spend time, which is exactly where AI engines now look for citations.
Proof you can check: Foundation and AirOps studied 379,810 AI answers and about 3 million citations across 81 B2B software categories, covering ChatGPT, Claude, Gemini, Perplexity, AI Overviews and AI Mode. Ross also wrote the book Create Once, Distribute Forever.
Working with him: agency work through Foundation, or directly through executive sessions, an AI visibility strategy workshop (from $50,000, per his consulting page) or a private advisory retainer with a six-month minimum.
Good fit: B2B brands with a strong product and weak presence on third-party sites. Not the right fit: small budgets looking for a one-off fix.
Ross Simmonds on LinkedIn | Ross Simmonds
The problem he solves: sites that lost search and AI visibility after Google core updates, spam updates or a wave of scaled AI content.
Glenn has run G-Squared Interactive, a consultancy in Princeton, New Jersey, since 2001, and is one of the most detailed analysts of how Google updates hit real sites. He now sells AI search consulting by name, covering ChatGPT, Gemini, Claude, Copilot, Perplexity, AI Overviews and AI Mode.
Proof you can check: a published case study of a site that had no Google visibility left while ChatGPT kept citing it heavily, and an ongoing test of whether ChatGPT, Claude and Perplexity can render JavaScript.
Working with him: audits with a remediation plan, follow-up calls and checks of changes in staging before they go live.
Good fit: sites that took a hit and need a precise diagnosis. Not the right fit: teams that want a full agency to execute everything.
Glenn Gabe on LinkedIn | G-Squared Interactive
The problem he solves: teams that want to see the hidden searches AI engines run before they write an answer.
Mark is a director at Candour, a UK SEO agency based in Norwich, and the founder of AlsoAsked, a question research tool with more than 100,000 users. Candour sells AI search optimisation work, including AI visibility audits, AI technical audits and strategy.
Proof you can check: he built QueryFan, a tool that shows the background searches ChatGPT and Gemini fire when they build an answer. He also uncovered a Google endpoint that exposed more than 2,000 classification properties, including site quality scores, a find covered by Search Engine Land.
Working with him: agency work through Candour, plus consulting and talks.
Good fit: teams that want evidence over theory. Not the right fit: companies looking for a quick checklist.
Mark Williams-Cook on LinkedIn | Mark Williams-Cook
The problem he solves: leadership teams unsure where AI search actually changes their funnel, and what to rebuild because of it.
Eli is an independent advisor and the author of Product-Led SEO, an approach that builds organic growth around the product rather than around keyword lists. He writes a newsletter on the future of SEO and AEO for more than 16,000 subscribers.
Proof you can check: his book Product-Led SEO, and his Lenny's Podcast episode on rethinking SEO in the age of AI.
Working with him: custom advisory engagements, plus speaking.
Good fit: founders and growth leaders who need strategy, not tactics. Not the right fit: teams that need hands-on execution.
Eli Schwartz on LinkedIn | Eli Schwartz
The problem she solves: brands trying to understand how Google's AI Overviews and AI Mode turn a single query into an entity-based journey, and where they fit in it.
Cindy is the founder and CEO of MobileMoxie, which she started in 2008. Her recent talks focus on how Google's AI features connect topics, entities and follow-up questions, and how content should be modelled around those journeys.
Proof you can check: her SEO Week talk on journey-based content for AI Overviews and AI Mode, her book Mobile Marketing, and the SERPerator and Page-oscope tools her company built.
Working with her: audits, ongoing consulting calls and custom team training.
Good fit: teams focused on Google's AI features. Not the right fit: brands that care mainly about ChatGPT or Perplexity.
Cindy Krum on LinkedIn | MobileMoxie
The problem he solves: large ecommerce and enterprise sites whose catalogs AI models read, rank and trust poorly.
Elie is an SEO and AI search strategist who consults through SEM King, working across European and US time zones. Alongside his consulting he leads SEO and AI search for Adorama, so his advice comes from running AI visibility on a large catalog every day.
Proof you can check: he publishes technical research on how AI systems behave, including a prompt-injection study he reports exposed internal Gemini system information.
Working with him: consulting on enterprise, international and AI search, with limited availability because of his in-house role.
Good fit: large ecommerce and enterprise brands. Not the right fit: small sites with simple needs.
Elie Berreby on LinkedIn | SEM King
Most of the consultants above quote per project. Among those who publish prices, Arobis AI audits start at $399 with done-for-you retainers from $2,500 a month, while Foundation's AI visibility strategy workshops start at $50,000. Senior advisory and large agency programs sit in between or above, depending on scope.
Pick the consultant who fits your problem, not the one with the biggest following. If you sell B2B software and keep missing the shortlist when buyers ask AI, start with Ran Yosef. If you need off-site citations, an update recovery, query-level evidence, funnel strategy, Google AI journeys or enterprise catalog work, the specialists above each own a clear lane.
This guide is built that way. Each consultant below is matched to the problem they are strongest at solving, with public proof you can check and what working with them actually looks like.
First, a quick definition
GEO (generative engine optimization) is the work of getting a brand named and cited inside answers from ChatGPT, Gemini, Claude and Perplexity. AEO (answer engine optimization) is the closely related work of becoming the quoted answer in Google's AI Overviews, AI Mode and featured snippets. The same consultants usually do both, and both rest on solid SEO, because AI engines still lean heavily on pages that rank well.
Find your problem in 30 seconds
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"Buyers ask AI for a shortlist and we are not on it." Ran Yosef (Arobis AI)
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"AI cites reviews, Reddit and video, and we are absent from all of them." Ross Simmonds (Foundation)
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"A Google update or scaled AI content hit our visibility." Glenn Gabe (G-Squared Interactive)
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"We want to see what AI engines search for before they answer." Mark Williams-Cook (Candour)
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"We are not sure where AI search changes our funnel." Eli Schwartz (Product-Led SEO)
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"We need to understand AI Overviews and AI Mode journeys." Cindy Krum (MobileMoxie)
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"We run a large catalog and AI reads it badly." Elie Berreby (SEM King)
Ran Yosef, Arobis AI
The problem he solves: B2B SaaS companies that are missing when buyers ask AI which vendor to choose.
Ran is the founder and CEO of Arobis AI, an AI Search Demand Generation agency built for B2B SaaS. Before starting it he led marketing at five B2B SaaS companies as CMO and VP Marketing, so he treats AI search the way a buyer of marketing would: the only result that counts is showing up in the answers buyers read right before they book a demo.
Every engagement starts with an audit he runs himself. He tests 40 buyer prompts across ChatGPT, Gemini, Claude and Perplexity, records which competitors get recommended instead, and ranks what to fix first. His team then does the work, from rewriting pages and fixing structured data to earning mentions on the third-party sources AI engines trust, and tracks ChatGPT, Gemini, Google AI Overviews and AI Mode every night in a private client portal.
Proof you can check: one B2B software client went from being named in none of its five most important buyer prompts to all five within 60 days, and became the most recommended of eight brands in its category. Ran also built a free AI Visibility Checker used on more than 2,300 websites, and writes about AI search for 20,000+ followers on LinkedIn.
Working with him: an AI visibility audit first, then a done-for-you program. Prices are published: audits from $399 and retainers from $2,500 a month.
Good fit: B2B SaaS teams that need pipeline from AI answers. Not the right fit: consumer brands and local businesses.
Ran Yosef on LinkedIn | Arobis AI
Ross Simmonds, Foundation
The problem he solves: brands that are invisible in the places AI answers borrow from, such as reviews, Reddit, video and communities.
Ross is the founder and CEO of Foundation, an agency that positions itself as an AI visibility agency for B2B tech and SaaS and runs a dedicated generative engine optimization service. His long-running theme is distribution: creating content once and getting it in front of people everywhere they already spend time, which is exactly where AI engines now look for citations.
Proof you can check: Foundation and AirOps studied 379,810 AI answers and about 3 million citations across 81 B2B software categories, covering ChatGPT, Claude, Gemini, Perplexity, AI Overviews and AI Mode. Ross also wrote the book Create Once, Distribute Forever.
Working with him: agency work through Foundation, or directly through executive sessions, an AI visibility strategy workshop (from $50,000, per his consulting page) or a private advisory retainer with a six-month minimum.
Good fit: B2B brands with a strong product and weak presence on third-party sites. Not the right fit: small budgets looking for a one-off fix.
Ross Simmonds on LinkedIn | Ross Simmonds
Glenn Gabe, G-Squared Interactive
The problem he solves: sites that lost search and AI visibility after Google core updates, spam updates or a wave of scaled AI content.
Glenn has run G-Squared Interactive, a consultancy in Princeton, New Jersey, since 2001, and is one of the most detailed analysts of how Google updates hit real sites. He now sells AI search consulting by name, covering ChatGPT, Gemini, Claude, Copilot, Perplexity, AI Overviews and AI Mode.
Proof you can check: a published case study of a site that had no Google visibility left while ChatGPT kept citing it heavily, and an ongoing test of whether ChatGPT, Claude and Perplexity can render JavaScript.
Working with him: audits with a remediation plan, follow-up calls and checks of changes in staging before they go live.
Good fit: sites that took a hit and need a precise diagnosis. Not the right fit: teams that want a full agency to execute everything.
Glenn Gabe on LinkedIn | G-Squared Interactive
Mark Williams-Cook, Candour
The problem he solves: teams that want to see the hidden searches AI engines run before they write an answer.
Mark is a director at Candour, a UK SEO agency based in Norwich, and the founder of AlsoAsked, a question research tool with more than 100,000 users. Candour sells AI search optimisation work, including AI visibility audits, AI technical audits and strategy.
Proof you can check: he built QueryFan, a tool that shows the background searches ChatGPT and Gemini fire when they build an answer. He also uncovered a Google endpoint that exposed more than 2,000 classification properties, including site quality scores, a find covered by Search Engine Land.
Working with him: agency work through Candour, plus consulting and talks.
Good fit: teams that want evidence over theory. Not the right fit: companies looking for a quick checklist.
Mark Williams-Cook on LinkedIn | Mark Williams-Cook
Eli Schwartz, Product-Led SEO
The problem he solves: leadership teams unsure where AI search actually changes their funnel, and what to rebuild because of it.
Eli is an independent advisor and the author of Product-Led SEO, an approach that builds organic growth around the product rather than around keyword lists. He writes a newsletter on the future of SEO and AEO for more than 16,000 subscribers.
Proof you can check: his book Product-Led SEO, and his Lenny's Podcast episode on rethinking SEO in the age of AI.
Working with him: custom advisory engagements, plus speaking.
Good fit: founders and growth leaders who need strategy, not tactics. Not the right fit: teams that need hands-on execution.
Eli Schwartz on LinkedIn | Eli Schwartz
Cindy Krum, MobileMoxie
The problem she solves: brands trying to understand how Google's AI Overviews and AI Mode turn a single query into an entity-based journey, and where they fit in it.
Cindy is the founder and CEO of MobileMoxie, which she started in 2008. Her recent talks focus on how Google's AI features connect topics, entities and follow-up questions, and how content should be modelled around those journeys.
Proof you can check: her SEO Week talk on journey-based content for AI Overviews and AI Mode, her book Mobile Marketing, and the SERPerator and Page-oscope tools her company built.
Working with her: audits, ongoing consulting calls and custom team training.
Good fit: teams focused on Google's AI features. Not the right fit: brands that care mainly about ChatGPT or Perplexity.
Cindy Krum on LinkedIn | MobileMoxie
Elie Berreby, SEM King
The problem he solves: large ecommerce and enterprise sites whose catalogs AI models read, rank and trust poorly.
Elie is an SEO and AI search strategist who consults through SEM King, working across European and US time zones. Alongside his consulting he leads SEO and AI search for Adorama, so his advice comes from running AI visibility on a large catalog every day.
Proof you can check: he publishes technical research on how AI systems behave, including a prompt-injection study he reports exposed internal Gemini system information.
Working with him: consulting on enterprise, international and AI search, with limited availability because of his in-house role.
Good fit: large ecommerce and enterprise brands. Not the right fit: small sites with simple needs.
Elie Berreby on LinkedIn | SEM King
Five questions to ask on the first call
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Which buyer prompts will you track, and can I see today's answers? A good consultant shows you the real AI responses before quoting anything.
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Who does the work after the strategy? Some advise, others run a team that ships the changes.
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Which engines do you measure? ChatGPT, Gemini, Claude, Perplexity and Google's AI features behave differently.
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What will look different in 60 to 90 days? Expect a specific answer tied to your prompts.
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What do you not promise? Nobody controls what a model says. Be wary of anyone who guarantees mentions.
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Reports that show rankings and traffic but never the AI answers themselves.
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A fixed package that ignores your market and your buyers.
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No public proof: no research, tools, talks or client results you can verify.
What GEO and AEO consultants cost
Most of the consultants above quote per project. Among those who publish prices, Arobis AI audits start at $399 with done-for-you retainers from $2,500 a month, while Foundation's AI visibility strategy workshops start at $50,000. Senior advisory and large agency programs sit in between or above, depending on scope.
The bottom line
Pick the consultant who fits your problem, not the one with the biggest following. If you sell B2B software and keep missing the shortlist when buyers ask AI, start with Ran Yosef. If you need off-site citations, an update recovery, query-level evidence, funnel strategy, Google AI journeys or enterprise catalog work, the specialists above each own a clear lane.