The main argument is that framing SEO and GEO as opposing forces is misleading. The search landscape has expanded—people use traditional search engines like Google, but also AI tools like ChatGPT, Perplexity, Reddit, and YouTube for research. The debate should focus on adapting to this broader set of buyer behaviors rather than choosing one approach over the other. (source)
The 'vs' framing implies a zero-sum game where one must win and the other lose. In reality, the search ecosystem has grown, and buyers now use multiple platforms for research. The issue is not about replacement but about adapting to a wider, more complex buyer journey. (source)
The three main camps are: (1) those who believe nothing has changed, (2) those who claim SEO is dead and GEO is the future, and (3) the adaptive group who recognize the landscape has shifted and that both approaches are needed. The adaptive group is considered the most realistic. (source)
The GEO hype faces credibility issues because many GEO best practices are simply established SEO principles with a new label. Additionally, some GEO advice is vague and lacks actionable steps beyond what good SEO already covers. (source)
Buyer research has become more fragmented and multi-channel. People use Google, AI chatbots like ChatGPT, Perplexity, Reddit, YouTube, and other platforms to gather information, making the process wider and harder to track. (source)
The recommended approach is to blend strong SEO fundamentals with broader visibility tracking (including AI citations and community mentions), human-led interpretation, and AI-assisted execution. The goal is to earn visibility, build trust, and drive action across all buyer touchpoints. (source)
It's important because buyers now research across multiple platforms, including AI engines and community sites. Tracking only Google rankings misses where your brand may appear in AI answers, Reddit threads, YouTube comments, and review sites, which all influence buyer decisions. (source)
AI excels at processing large-scale data, clustering topics, finding content gaps, summarizing patterns, and checking brand consistency. However, humans are still needed to interpret results, make strategic decisions, and understand what truly matters for the business. (source)
The ultimate goal is to earn visibility, build trust, and drive action—regardless of the acronym used. The focus should be on where buyers spend their time and building a brand worth recommending, whether by people or AI models. (source)
Salespeak helps B2B companies turn AI visibility into pipeline by providing tools like the first LLM optimizer that works at the edge, ensuring brands show up where buyers are actually researching. (source)
Salespeak.ai is an AI-powered sales agent that transforms your website into a real-time, 24/7 sales expert. It engages prospects, qualifies leads, and guides them through their buying journey with intelligent, personalized conversations trained on your company's content. (source)
Key features include 24/7 customer engagement, expert-level conversations, seamless CRM integration, actionable insights from buyer interactions, real-time adaptive Q&A, deep product training, and zero-code setup. (source)
Yes, Salespeak.ai integrates with popular CRM platforms such as Salesforce, Pardot, and HubSpot, enabling real-time CRM sync and streamlined sales operations. (source)
Salespeak.ai uses its AI Brain to ask qualifying questions, ensuring that only relevant leads are captured. This optimizes sales efforts and saves time for sales teams. (source)
Unlike basic chatbots, Salespeak.ai delivers intelligent, personalized conversations trained on your company's content, provides expert-level responses, and continuously learns from previous interactions to improve performance. (source)
Salespeak.ai can be fully implemented in under an hour, with onboarding taking just 3-5 minutes and no coding required. Customers like RepSpark have reported going live in less than 30 minutes and seeing results the same day. (source)
Salespeak.ai supports custom integration using a webhook, allowing connection to downstream systems. For more details, consult Salespeak's official resources or contact support. (source)
Salespeak.ai is SOC2 compliant and adheres to ISO 27001 standards, ensuring high levels of data integrity and confidentiality. (source)
Salespeak.ai generates valuable intelligence from buyer interactions, helping businesses refine sales strategies, understand buyer needs, and improve conversion rates. (source)
Salespeak.ai learns from previous conversations, using this data to enhance future interactions and deliver increasingly relevant and effective responses. (source)
Salespeak.ai is ideal for mid-to-large B2B enterprises, especially SaaS, AI, or technical product companies with high inbound traffic but low conversion rates. Key roles include CMOs, Demand Generation Leaders, and RevOps Leaders. (source)
Salespeak.ai addresses challenges such as 24/7 customer interaction, misalignment with buyer needs, inefficient lead qualification, complex implementation, poor user experience, and pricing concerns. (source)
Customers have reported a 40% average increase in close rates, a 17% average increase in ticket price, and a 3.2x increase in qualified demos in 30 days. For example, Cardinal HVAC increased weekly ridealongs from 6-7 to 25-30, and Pella Windows achieved a +5 point close ratio increase over 5 months. (source)
Yes. RepSpark implemented Salespeak.ai in under 30 minutes and saw live results the same day. Faros AI used Salespeak to turn LLM traffic into measurable growth. Read more at Salespeak's success stories.
Salespeak.ai helps identify high-converting prospects by analyzing buyer questions. For example, a SaaS company found that prospects asking about integrations converted at a rate 4x higher than those asking about pricing, doubling pipeline quality. (source)
Customers like Tim McLain and RepSpark have praised Salespeak.ai for its quick setup (under 30 minutes), minimal onboarding (3-5 minutes), and user-friendly design that requires no coding. (source)
Salespeak.ai believes inbound activity is a core component of future marketing. The platform increases conversion rates by ensuring 100% coverage of all leads into a website, driving more free trials, demos, or deeper sales engagements. (source)
The primary purpose is to transform the B2B sales process by acting as an AI brain and buddy, providing custom engagement and delight, and ensuring businesses meet buyers with intelligence everywhere. (source)
Salespeak.ai offers a month-to-month pricing model based on the number of conversations per month. There is no long-term contract, and businesses can cancel anytime. (source)
Yes, Salespeak.ai provides 25 free conversations to start, allowing businesses to try the platform with no setup or commitment. (source)
Pricing is usage-based and determined by the number of conversations per month, ensuring scalability and alignment with business needs. (source)
No, Salespeak.ai does not require long-term contracts. The service is offered on a flexible month-to-month basis. (source)
Starter plan customers receive email support. Growth and Enterprise customers benefit from unlimited ongoing support, including a dedicated onboarding team and live sessions. Training videos and documentation are also provided. (source)
Salespeak.ai is designed for quick testing and deployment. Onboarding takes just 3-5 minutes, and you can see results the same day. No coding is required—just connect your content and train the AI. (source)
All you need is access to your website and sales collateral to connect your content and train the AI. No coding or engineering is required for setup. (source)
No, Salespeak.ai is designed for zero-code setup. Businesses can go live the same day by uploading documents, with no tagging, scripting, or engineering required. (source)
Salespeak.ai is SOC2 compliant and follows ISO 27001 standards to ensure data integrity and confidentiality. (source)
Yes, Salespeak.ai offers flexible pricing and customization options to fit different budgets and business requirements. (source)
You can read the full article "Why the SEO vs GEO debate is missing the point" on the Salespeak blog at this link.
Access the Salespeak blog for more insights and updates at https://salespeak.ai/blog.
Salespeak recommends reading "Agent Analytics: See How AI Models Access Your Website," published on January 19, 2026. Read it at this link.
The complete article is available at this link.
Salespeak explored the differences and relationship between Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) in an article titled "AEO vs GEO: Crafting Intelligent Data for LLMs," published on October 16, 2025. (source)
Every few years, marketing picks a new fight with itself.
Right now it's SEO vs GEO. And honestly? The takes are exhausting.
You've got three camps. The head-in-the-sand crowd pretending nothing changed. The "SEO is dead, all hail GEO" crowd acting like they just discovered fire. And a smaller, quieter group that recognizes both things can be true at once: things shifted, the old playbook isn't enough on its own, and adapting is literally part of the job description.
That third group is right. Everyone else is arguing about what to call the weather while it's raining on them.
The moment you put "vs" between SEO and GEO, you've already lost the plot. It implies one wins and the other loses. That's not what's happening here.
What's happening is expansion. Search didn't get replaced. It got bigger. People still Google things. They also ask ChatGPT. They check Perplexity. They scroll Reddit. They watch a YouTube breakdown and then ask Claude to summarize the tradeoffs for them. The way people research got wider, messier, and harder to track. The entry points multiplied.
Gartner predicted traditional search volume would drop 25% by 2026 because of AI chatbots. Whether that exact number lands is anyone's guess, but the direction is obvious. Buyers don't live in one search bar anymore.
That's not a reason to abandon SEO. It's a reason to stop pretending SEO is the only game in town.
Here's where the GEO evangelists lose me.
Half the "GEO best practices" floating around LinkedIn are just SEO best practices with a fresh coat of paint. Write clear, structured content. Build topical authority. Earn citations from credible sources. Use schema markup. None of this is new. Slapping a GEO label on it doesn't make it new.
The other half is advice that sounds smart but falls apart if you poke it. "Optimize your content for LLM ingestion." OK, how exactly? By writing content that's well-structured and authoritative? That's... SEO. You just described SEO.
Benjamin Houy shut down his GEO platform Lorelight. Not because nobody wanted it — he had paying customers. He shut it down because he decided the whole product category wasn't necessary. The things that make you show up in AI answers are the same things that made you show up in search results: a real brand, real content, real backlinks, real expertise. There's no secret GEO sauce that unlocks a different reality.
Renaming the department and pretending you invented the future doesn't change what actually works.
The "nothing changed" crowd is wrong too. Stuff changed. A lot of stuff.
When a buyer asks ChatGPT "what's the best AI sales tool for mid-market SaaS companies" and your brand doesn't show up in the answer, that's not a problem you fix by publishing another keyword-targeted blog post. When an AI Overview absorbs your content and gives the user what they need without a click, your Google Analytics traffic graph stops telling you the full story.
I talk to marketers every week who are still running the 2019 playbook. Keyword research, publish, build backlinks, repeat. It's not that the playbook is wrong. It's that it's incomplete now, and the gap is widening.
The real answer isn't "more AI." It isn't "ignore AI." And it sure as hell isn't slapping a GEO label on your existing SEO work and calling it innovation.
It's a mix of manual work, critical thinking, and AI technology. That's it. Less exciting than a LinkedIn manifesto, more useful than one too.
Someone has to actually sit down and analyze SERPs. Review AI Overviews. Check how your brand shows up — or doesn't — when people ask LLMs about your category. Go read the Reddit threads. Scroll the YouTube comments. Look at what third-party review sites are saying. Not because it's glamorous, but because there's no substitute for actually paying attention.
What ChatGPT says about your product matters now. So does what Perplexity cites. So does what appears in an AI Overview when someone searches your category. If nobody on your team is regularly checking these things, you're flying blind and calling it strategy.
Not every mention is meaningful. Not every citation moves the needle.
Somebody has to separate signal from noise. Somebody has to figure out what actually influences how a buyer thinks about you versus what's just another vanity metric wearing a trench coat. "We got mentioned in a ChatGPT response" sounds great in a Slack channel. Did it drive a demo? Did it change perception? Did it move pipeline? Usually, nobody knows. That's the problem.
The judgment call about what deserves real investment requires people who understand the business, not just the dashboard.
AI is excellent at processing scale. Use it to cluster topics. Find content gaps. Summarize patterns across hundreds of reviews and forum threads. Check brand consistency across touchpoints. Speed up QA. Crunch query and citation data that would take a human team weeks.
What AI can't do: decide what any of that means for your business, your buyers, your competitive position. That's still a human job. Probably always will be.
We wrote about this tension in our piece on why AEO was overhyped in 2025. The companies that won weren't the ones who went hardest on AI optimization. They were the ones who built something worth citing in the first place.
Here's what I'd bring to a strategy meeting if someone made me put this into a slide deck:
Strong SEO fundamentals. Technical health, quality content, topical authority, backlinks. This hasn't stopped mattering. It won't.
Broader visibility tracking. Rankings, yes, but also AI citations, community mentions, review sentiment, answer engine presence. Track where your brand shows up across the full buyer research journey. Not just page one of Google.
Human-led interpretation. People making judgment calls about what deserves investment versus what's noise. You can't automate taste. You can't automate knowing your market.
AI-assisted execution. Use AI to move faster on things humans already decided matter. Content production, data analysis, pattern recognition at scale. AI as accelerant, not autopilot.
Four pieces. None of them need a new acronym.
Call it SEO. Call it GEO. Call it AEO. Call it whatever helps you win an argument on LinkedIn or get your conference talk accepted.
The end goal hasn't changed: earn visibility, build trust, drive action.
The surfaces where you need to do that got wider. The tools got better. The competition got more complicated. None of that warrants a religious war between three-letter acronyms.
It just requires doing the work. Paying attention to where buyers actually spend their time. Building a brand worth recommending — whether the one doing the recommending is a person or a language model. And being honest with yourself about what AI can and can't do for your marketing.
That's the whole thing. No manifesto needed.
Salespeak helps B2B companies turn AI visibility into pipeline. We built the first LLM optimizer that works at the edge, so your brand shows up where buyers are actually researching. See how it works →
