--- description: AI chatbots are intercepting B2B buyers before they click. Learn how funnel cannibalization works, what the data shows, and how to recover lost pipeline. title: How AI Chatbots Are Cannibalizing Your B2B Organic Funnel (and What to Do About It) image: https://www.mersel.ai/blog-covers/Online%20connection-bro.svg --- [Introducing Cite:Your AI content agent for inbound leads.Your AI content agent.See how](/cite) Platform [Cite - Content engineYour dedicated website section that brings leads](/cite)[AI visibility analyticsSee which AI platforms visit your site and mention your brand](/platform/visibility-analytics)[Agent-optimized pagesShow AI a version of your site built to get recommended](/platform/ai-optimized-pages) [Blog](/blog)[Pricing](/pricing)[About](/about)[Contact Us](/contact) Language [English](/en/blog/why-chatbots-are-eating-your-organic-funnel)[中文](/zh-TW/blog/why-chatbots-are-eating-your-organic-funnel) [Home](/)[Blog](/blog)How AI Chatbots Are Cannibalizing Your B2B Organic Funnel (and What to Do About It) 22 min read # How AI Chatbots Are Cannibalizing Your B2B Organic Funnel (and What to Do About It) ![Mersel AI Team](/_next/image?url=%2Fworks%2Fjoseph-headshot.webp&w=96&q=75) Mersel AI Team March 18, 2026 Book a Free Call On this page [Key Takeaways](#key-takeaways)[The New B2B Buyer Journey: A Flowchart That Explains the Gap](#the-new-b2b-buyer-journey-a-flowchart-that-explains-the-gap)[The Funnel Cannibalization Data: This Is Not Anecdotal](#the-funnel-cannibalization-data-this-is-not-anecdotal)[The ROI Framework: How to Think About This Investment](#the-roi-framework-how-to-think-about-this-investment)[Evidence: What Structured GEO Programs Actually Deliver](#evidence-what-structured-geo-programs-actually-deliver)[Fit Conditions: When This ROI Applies and When It Does Not](#fit-conditions-when-this-roi-applies-and-when-it-does-not)[Common Objections and Counterarguments](#common-objections-and-counterarguments)[What a Two-Layer Response Looks Like](#what-a-two-layer-response-looks-like)[FAQ](#faq)[Start with an AI Visibility Audit](#start-with-an-ai-visibility-audit)[Sources](#sources)[Related Reading](#related-reading) AI chatbots are intercepting your B2B buyers before they ever reach your website, and your GA4 dashboard cannot show you where they went. This is funnel cannibalization: the buyer journey still happens, but the discovery step now occurs inside ChatGPT, Perplexity, or Gemini rather than on a search results page your content controls. The result is a shortlist your brand never made, a demo request that never arrived, and a pipeline gap that looks like a demand problem when it is actually a visibility problem. This matters now because the shift is accelerating. Gartner forecasts that traditional search engine volume will drop 25% by 2026\. Meanwhile, approximately 60% of Google searches already end without a single click to any website. If your inbound numbers are flattening despite stable keyword rankings, you are almost certainly experiencing AI-driven cannibalization. This article will show you exactly what is happening at each funnel stage, what the financial cost looks like, and what a measurable response requires. ![](/blog-covers/Online connection-bro.svg) ## Key Takeaways * Gartner predicts traditional search engine volume will fall 25% by 2026, driven by AI chatbots replacing informational queries at the top of the B2B funnel. * When a Google AI Overview appears for a query, organic click-through rate drops 61% (from 1.76% to 0.61%), according to a Seer Interactive analysis of 25.1 million impressions across 3,119 queries over 15 months. * 73% of B2B websites experienced meaningful traffic decline between 2024 and 2025, with an average year-over-year drop of 34%. * Only 38% of pages cited in Google AI Overviews rank in the top 10 for the same query (Ahrefs, 4 million AI Overview URLs), proving that traditional SEO rankings no longer guarantee AI citations. * AI-referred traffic converts 4.4x better than standard organic search, meaning the buyers who arrive via AI are higher quality but only reachable if your brand appears in the AI answer. * A Series A fintech company running a structured GEO program grew AI visibility from 2.4% to 12.9% in 92 days, with 20% of demo requests directly influenced by AI search. ## The New B2B Buyer Journey: A Flowchart That Explains the Gap The traditional B2B buyer journey assumed a linear path: awareness query on Google, click to informational content, nurture sequence, demo request. That model is broken. Here is what the truncated AI-intercepted journey looks like today, and where your funnel is losing buyers before they ever touch your site: The Truncated B2B Buyer Journey: Where AI Intercepts Your FunnelOLD JOURNEYNEW JOURNEYBuyer hasa questionGooglesearchClicks yourcontentNurturesequenceDemorequestBuyer hasa questionChatGPT /PerplexityAI givesdirect answerYour brand citedon shortlistDemorequestBrand invisible.Shortlist excludes youPipeline loss(invisible to GA4)Cited = survivesNot cited = eliminated before first click _The diagram compares the old B2B buyer journey (Google search to click to nurture to demo) against the new AI-intercepted journey. In the new path, the buyer's question goes directly to ChatGPT or Perplexity, which synthesizes an answer and produces a shortlist. Brands that appear on that shortlist survive and receive a demo request. Brands that do not appear are eliminated before a single click occurs, and this loss never appears in GA4 or Google Search Console._ The critical insight from this flowchart: the buyer's intent is identical in both journeys. The question is the same. The purchase decision is the same. But your entire content investment, your nurture sequences, your keyword rankings, are bypassed entirely if AI does not put your name in the answer. ## The Funnel Cannibalization Data: This Is Not Anecdotal AI chatbots are structurally redirecting B2B discovery traffic away from publisher websites. The evidence is specific and growing. ### Search Volume Is Declining at Scale Gartner's 2024 forecast is the clearest macro signal: traditional search engine volume will drop 25% by 2026 as AI chatbots and virtual agents absorb informational queries. These are the exact queries that power the top-of-funnel awareness stage for B2B brands. "What is \[category\]," "How to solve \[problem\]," "Best tools for \[use case\]" — the answers now live inside ChatGPT rather than on the blog post you spent three months producing. According to analysis compiled by ABM Agency, approximately 73% of B2B websites experienced meaningful traffic decline between 2024 and 2025, with an average year-over-year drop of 34%. HubSpot reportedly lost 70-80% of its organic blog traffic in 2025, despite maintaining domain authority and extensive content archives. If it happened to HubSpot, it is happening to your category. This is the primary reason [organic search traffic declines feel disconnected from your keyword rankings](/blog/why-is-my-organic-search-traffic-declining-the-ai-effect): rankings are holding, but the clicks attached to those rankings are evaporating. ### Zero-Click Has Become the Default Search Outcome SparkToro research using Datos clickstream data found that approximately 60% of Google searches in the US and EU now end without any click to an external website. On mobile, that figure rises to 77%. The buyer's informational need is satisfied directly on the results page through AI Overviews, featured snippets, or knowledge panels. For B2B marketers, this means the content investment that once generated top-of-funnel traffic is now functioning as training data for AI summaries rather than a channel into your pipeline. As Lever Interactive notes, the click never comes. ### Organic Click-Through Rates Have Collapsed Seer Interactive conducted a longitudinal analysis of 25.1 million organic impressions across 3,119 queries over 15 months. The finding: when a Google AI Overview appears on a search results page, organic click-through rate falls 61%, dropping from a baseline of 1.76% to just 0.61%. Paid search CTR for the same queries dropped 68%. Ahrefs corroborated this with a separate analysis showing that the number one organic result's CTR falls from approximately 7.3% to 2.6% when an AI Overview is triggered for that same query. The revenue implication is direct. If your category keywords now consistently trigger AI Overviews, your top-of-funnel traffic from those terms has effectively been taxed by approximately 60%, without any change to your rankings. ### Your Rankings No Longer Guarantee AI Citations This is the most dangerous assumption in modern B2B marketing: "We rank well, so we must be in the AI answers." The data says otherwise. A BrightEdge study initially found 54% overlap between sites cited in Google AI Overviews and those ranking in traditional organic search. As AI models have evolved, that overlap has shrunk. An Ahrefs analysis of 4 million AI Overview URLs found that only 38% of cited pages ranked in the top 10 for the same query. A separate BrightEdge dataset placed the top-10 overlap as low as 17% for specific categories. That means between 62% and 83% of AI citations come from pages that do NOT rank in your top 10\. Your SEO investment is a necessary but no longer sufficient condition for AI visibility. Understanding [what generative engine optimization actually requires](/blog/what-is-generative-engine-optimization-geo) as a discipline distinct from traditional SEO is the starting point for closing that gap. ## The ROI Framework: How to Think About This Investment Traditional SEO ROI formulas break down when applied to AI search. Foundation Inc. identifies the core flaw: generative engines operate in zero-click environments, intercepting buyers before a trackable website visit occurs. You cannot calculate return on a channel when the interaction is invisible to your analytics stack. The industry has moved toward a framework called Return on Generative Engine Optimization (RoGEO). This framework, documented by ABM Agency and practitioners like Ross Simmonds, evaluates three dimensions that standard web analytics cannot capture. **Citation Frequency:** How often is your brand mentioned or recommended across the prompts your buyers actually use? This is measurable through AI visibility platforms and can be tracked over time as a share-of-voice metric. **Reference Depth:** When AI does mention your brand, how accurate and complete is the description? Does it include your key use cases, differentiators, and ideal customer profile? Shallow mentions drive less qualified inbound. Detailed, accurate citations drive intent-matched discovery. **Revenue Attribution:** The downstream signal. Track referral traffic originating from chatgpt.com, perplexity.ai, and claude.ai directly in GA4\. Combine this with self-reported attribution in your demo request forms ("How did you hear about us?"). AI-influenced pipeline will emerge as a measurable percentage of total inbound. ### Key Performance Indicators for the Business Case | Measurement Tier | Specific Metrics | | ---------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | | Direct Performance | AI visibility rate (%); referral traffic from chatgpt.com, perplexity.ai, claude.ai; conversion rate of AI-referred visitors | | Brand Impact | Category Share of Voice across AI engines; sentiment accuracy of AI brand descriptions; competitor displacement rate | | Pipeline and Financial | CAC for AI-referred leads vs. paid leads; sales cycle velocity for AI-aware prospects; total pipeline value influenced by AI search | The conversion quality data makes the financial case clear. According to ABM Agency research, AI-referred traffic converts 4.4 times better than standard organic search. Engagement time from AI-referred visitors averages 8 to 10 minutes, compared to 2 to 3 minutes from traditional Google. These are buyers who arrived already informed, already considering, already closer to a decision. The CAC efficiency is structurally superior, but only for brands that appear in the answer. ## Evidence: What Structured GEO Programs Actually Deliver The [real cost of ignoring generative engine optimization](/blog/real-cost-of-ignoring-generative-engine-optimization) is not just theoretical traffic loss. Here is what measurable GEO programs have produced across different industries and company types. ### Industry Case Studies | Company / Vertical | Timeline | Results | | -------------------------- | --------------------- | ------------------------------------------------------------------------------------------------------------- | | Ramp (Fintech SaaS) | 1 month | AI visibility 3.2% to 22.2% (7x increase); 300+ citations earned in a single month | | Runpod (AI Infrastructure) | 90 days | 4x new customer acquisition via ChatGPT; 8% conversion rate; prompt coverage expanded from 50 to 300 keywords | | Lago (Fintech SaaS) | \~6 months | 11x increase in AI Overview impressions; citation rate 3.5% to 17%; 50% of demos influenced by AI search | | Popl (Digital SaaS) | 18-day payback period | AI Share of Voice rank jumped to number one; +38.85% month-over-month AI-driven leads; 1,561% ROI | ### Mersel AI Client Benchmarks Across Mersel AI client engagements, four patterns appear consistently across industries. A Series A fintech company (unified finance OS, global payroll focus, approximately 20 employees) ran a 92-day program. AI visibility grew from 2.4% to 12.9%. Non-branded citations increased 152%. Category Share of Voice moved from 3.1% to 10.8%. Critically, 20% of demo requests were directly influenced by AI search discovery. A publicly traded quantum computing company targeting Fortune 500 logistics and manufacturing enterprises ran a 123-day program. Technical prompt visibility grew from 6.5% to 17.1%. The company earned 214 citations across tracked quantum computing prompts. AI-influenced enterprise leads grew 16% quarter-over-quarter. An Asia-based commerce agency in the manufacturer export vertical ran an 86-day program. Visibility for export-related prompts grew from 3.6% to 13.8%. Brand mentions in export consulting prompts grew from 4.2% to 15.4%. 17% of total inbound leads were influenced by AI discovery. A DTC ecommerce brand in collectibles (approximately $2M to $5M annual GMV) ran a 63-day program. AI visibility in art shopping prompts grew from 5.8% to 19.2%. AI-driven referral traffic increased 58%. 14% of new buyers were influenced by AI search. The consistent pattern across these engagements: initial citation lifts appear within 2 to 8 weeks, meaningful pipeline impact materializes within 60 to 90 days, and performance accelerates over time as the feedback loop accumulates signal about which content earns citations for that specific category. ## Fit Conditions: When This ROI Applies and When It Does Not GEO investment delivers the returns described above under specific conditions. It is important to be honest about where it fits and where it does not. **This applies strongly when:** * Your buyers ask research-heavy questions before engaging vendors. Complex B2B categories (SaaS, fintech, professional services, infrastructure) are heavily represented in AI discovery patterns because buyers use AI to understand their options before ever contacting a company. * Your organic funnel has been a meaningful source of inbound in the past but is now declining despite stable rankings. This is the clearest signal of AI-driven cannibalization. * Competitors in your category are already appearing in AI answers. Once a competitor builds citation authority in a category, the gap compounds. Every month of delay represents compounding advantage for them. * You have product-market fit and need to build or protect a new inbound channel, but your team has no bandwidth for a new discipline. **This applies less strongly when:** * Your sales cycle is entirely relationship-driven with no digital discovery component. Some enterprise verticals still run primarily on referrals and events. AI search has less intercept leverage in those pipelines, at least currently. * Your buyers are not actively using AI tools for vendor research yet. This is increasingly rare but exists in some regulated or highly specialized industries. * You are pre-product-market fit and optimizing discovery before your offering is defined. GEO is a channel amplifier, not a positioning tool. ## Common Objections and Counterarguments **"We already have an SEO agency working on our search presence."** SEO and GEO are different disciplines, not redundant ones. SEO optimizes for Google's traditional algorithmic ranking factors: backlinks, keyword density, crawlability. GEO optimizes for information extraction and entity relationships so that large language models select and cite your content. The Ahrefs data makes this concrete: 62% of AI Overview citations come from pages that do NOT rank in your top 10\. Your SEO agency's link-building program does not produce AI citations. Most SEO agencies also have no expertise in deploying AI-native infrastructure such as llms.txt configuration or crawler-specific schema markup. The two programs are complementary. Neither makes the other redundant. **"Can't our content team handle this in-house?"** Successful GEO execution requires three specific capabilities simultaneously: prompt-mapped content strategy built on how LLMs actually select sources, engineering resources to deploy AI-native technical infrastructure, and a closed-loop data architecture that continuously refines content based on real citation signals from GA4 and Google Search Console. Mid-market marketing teams rarely possess this intersection of skills. Hiring for it takes 3 to 6 months and in most cases costs more than a managed program. The practical outcome of attempting in-house execution is that GEO becomes an engineering backlog item that never gets prioritized. **"GEO monitoring tools are much cheaper than a managed service."** Monitoring tools (ranging from approximately $250 to $3,000 per month) show you where your brand is invisible. They do not fix it. The hidden cost is the 20 to 40 hours per month of internal engineering and content work required to act on the data. Profound's entry-level $99/month plan limits monitoring to ChatGPT only; accessing Perplexity requires upgrading to $399/month, and the full model suite requires a custom enterprise contract. AthenaHQ unlocks all AI engines at $295/month but uses a credit-based model where a standard daily monitoring workflow across 50 keywords and 5 engines can exhaust the monthly credit allotment rapidly. Without the internal bandwidth to act on what the dashboard shows, a monitoring tool becomes an expensive report of compounding market share loss. Total cost of ownership, when factoring in internal labor, heavily favors a managed execution approach for most mid-market teams. **"How long until we see an actual return?"** Unlike traditional SEO (which typically requires 6 to 12 months to move the needle), structured GEO programs operate on faster timelines. Initial citation lifts are typically visible within 2 to 8 weeks. Meaningful pipeline impact, measured as qualified AI-referred demo requests, typically materializes within 60 to 90 days. Because the content feedback loop compounds, month three results are substantially better than month one. **"What if AI models change how they cite sources?"** They will. And that is precisely why a continuous managed system outperforms a one-time audit or static content project. LLMs continuously adjust their retrieval parameters. A static optimization approach decays every time a model updates. A system with a live feedback loop monitors which content earns citations in real time, identifies when citation patterns shift, and adapts. This is not a one-time SEO audit. It is an ongoing managed channel, and it requires the infrastructure to match. ## What a Two-Layer Response Looks Like The brands winning in AI-intercepted funnels are not just publishing more content. They are doing two things simultaneously that most teams cannot execute independently. The first layer is a citation-first content engine. This means building a prompt map from the actual questions buyers ask AI when evaluating vendors in your category, and then producing content specifically designed for citation: direct answers at the top, clear entity relationships, explicit positioning, and bottom-of-funnel intent (comparison posts, alternative roundups, use case breakdowns). Critically, this content must feed into a feedback loop connected to GSC, GA4, and AI referral data so that underperforming posts get updated based on what is actually earning citations, not assumptions about what should. The second layer is AI-native technical infrastructure. Most websites are designed for humans: marketing language, JavaScript-rendered content, complex navigation. When GPTBot or PerplexityBot crawls those sites, it struggles to extract a clean understanding of what the company does, who it serves, and why it is different. Deploying schema markup (FAQPage, HowTo, Product, Organization), entity definitions, proper internal linking for AI relationship mapping, and llms.txt configuration gives AI crawlers a structured, citation-ready version of the brand. Human visitors see nothing different. Existing SEO is untouched. But AI crawlers see exactly what they need to accurately represent and recommend the brand. Mersel AI is a done-for-you managed service that runs both layers simultaneously. It is worth noting that Mersel is not a self-serve dashboard. Teams that need real-time prompt monitoring with direct UI access for internal analysts will find platforms like Profound or AthenaHQ more suitable for that specific need. What Mersel does is execute: content to CMS, infrastructure deployed, feedback loop running, with zero team bandwidth required. For a deeper look at the tools and platforms across the GEO landscape, the [generative engine optimization software comparison](/blog/generative-engine-optimization-software) breaks down the full category. ## FAQ **How do I know if AI chatbots are actually cannibalizing my B2B funnel?** The clearest signals are: stable or improving keyword rankings combined with declining organic traffic; inbound lead volume dropping despite unchanged paid spend; and a growing gap between top-of-funnel content traffic and demo requests. You can also check your GA4 for referral traffic from chatgpt.com, perplexity.ai, and claude.ai. If those numbers are low or absent and your organic traffic is declining, AI interception is a primary suspect. ABM Agency research found 73% of B2B websites experienced meaningful traffic decline between 2024 and 2025, with an average year-over-year drop of 34%, so this is not an edge case. **Does strong Google ranking guarantee that AI chatbots will recommend my brand?** No. An Ahrefs analysis of 4 million AI Overview URLs found that only 38% of cited pages ranked in the top 10 for the same query. A separate BrightEdge dataset placed the top-10 overlap as low as 17% for specific categories. This means the majority of AI citations come from pages outside your top-10 rankings. Traditional SEO authority is helpful but no longer sufficient to earn AI recommendations. **What is the typical timeline to see results from a GEO program?** Initial citation lifts and AI visibility improvements typically appear within 2 to 8 weeks of deploying a structured GEO program. Meaningful pipeline impact, measured as qualified leads or demo requests influenced by AI search, typically materializes within 60 to 90 days. Mersel AI's client data across four industry verticals shows consistent results within these windows, with performance compounding over time as the feedback loop accumulates citation signal. **How do I measure the ROI of GEO when most AI interactions are zero-click?** The RoGEO (Return on Generative Engine Optimization) framework, documented by ABM Agency and practitioners like Ross Simmonds, measures three dimensions: citation frequency across target prompts, reference depth and accuracy of AI brand descriptions, and revenue attribution through AI referral traffic in GA4 plus self-reported attribution in demo forms. AI-referred traffic converts 4.4 times better than standard organic search, according to ABM Agency research, so even modest referral volume can produce meaningful pipeline value. **Should we replace our SEO program with GEO, or run both?** Run both, but treat them as distinct disciplines with different execution requirements. SEO optimizes for Google's ranking algorithm through backlinks, keyword targeting, and technical crawlability. GEO optimizes for LLM citation selection through entity clarity, structured answers, and AI crawler accessibility. BrightEdge research initially found approximately 54% overlap between Google top-10 results and AI Overview citations, meaning strong SEO provides a foundation but leaves a substantial citation gap that only GEO-specific execution closes. ## Start with an AI Visibility Audit The funnel cannibalization is already underway. The question is whether your brand is on the shortlist AI is producing for your buyers, or whether those conversations are happening without you. The first step is knowing exactly where you stand. Which prompts in your category is AI answering? Which competitors are being cited? Where is your brand absent from conversations that should include you? [Book a call with the Mersel AI team](/contact) to get a structured audit of your current AI visibility across ChatGPT, Perplexity, and Gemini, and a clear picture of the gap between where you are and where your buyers are looking. ## Sources 1. [Gartner: Search Engine Volume Will Drop 25% by 2026](https://www.gartner.com/en/newsroom/press-releases/2024-02-19-gartner-predicts-search-engine-volume-will-drop-25-percent-by-2026-due-to-ai-chatbots-and-other-virtual-agents) 2. [ABM Agency: Zero-Click Search and B2B Marketing Impact](https://abmagency.com/what-is-zero-click-search-and-how-has-it-impacted-b2b-marketing/) 3. [Follo Agency: Zero-Click Searches and SparkToro Research](https://folloagency.com/insights/news/zero-click-searches-how-remain-visible-changing-search-landscape) 4. [Wordtracker: Nearly 60% of Google Searches Are Zero-Click](https://www.wordtracker.com/blog/seo/nearly-60-percent-of-searches-on-google-are-zero-click) 5. [Lever Interactive: When the Click Never Comes](https://leverinteractive.com/blog/when-the-click-never-comes/) 6. [Seer Interactive: AIO Impact on Google CTR](https://www.seerinteractive.com/insights/aio-impact-on-google-ctr-september-2025-update) 7. [Ideava: Seer Interactive and Ahrefs AIO CTR Study Compilation](https://ideava.com/insights/ai-overviews-ctr-decline/) 8. [Myoho Marketing: Organic CTR Down 61%, Paid CTR Down 68%](https://myohomarketing.com.au/organic-ctr-down-61-and-paid-ctr-down-68-in-2024-2025-findings-from-3119-queries/) 9. [BrightEdge: AI Overviews Rank Overlap After 16 Months](https://www.brightedge.com/resources/weekly-ai-search-insights/rank-overlap-after-16-months-of-aio) 10. [ALM Corp: Ahrefs and BrightEdge Citation Divergence Data](https://almcorp.com/blog/google-ai-overview-citations-drop-top-ranking-pages-2026/) 11. [ABM Agency: Primary Drivers of B2B GEO Success](https://abmagency.com/the-primary-drivers-of-b2b-generative-engine-optimization-success-a-comprehensive-guide-for-enterprise-organizations/) 12. [ABM Agency: 2025 Guide to Measuring B2B GEO ROI](https://abmagency.com/2025-guide-to-measuring-b2b-generative-engine-optimization-geo-roi/) 13. [Foundation Inc: ROI of Generative Engine Optimization](https://foundationinc.co/lab/roi-of-geo) 14. [Ross Simmonds: ROI of Generative Engine Optimization](https://rosssimmonds.com/blog/roi-generative-engine-optimization/) 15. [NoGood: Enterprise GEO Tools and Cost Breakdown](https://nogood.io/blog/enterprise-geo-tools/) 16. [GetMint.ai: AthenaHQ vs. Profound Pricing Analysis](https://getmint.ai/resources/athenahq-vs-profound) 17. [Search Engine Journal: BrightEdge Google AI Overviews Overlap with Organic Search](https://www.searchenginejournal.com/google-ai-overviews-overlaps-organic-search-by-54/557317/) 18. [Whitehat SEO: AI and Changes in the B2B Industry](https://whitehat-seo.co.uk/blog/ai-breakthroughs-and-changes-in-the-b2b-industry) ## Related Reading * [The Future of Search: LLMs vs. Ten Blue Links](/blog/future-of-search-llms-vs-ten-blue-links) * [The Impact of AI Overviews on B2B Organic Traffic](/blog/impact-of-ai-overviews-on-b2b-organic-traffic) * [What Is Generative Engine Optimization (GEO)?](/blog/what-is-generative-engine-optimization-geo) ```json {"@context":"https://schema.org","@graph":[{"@type":"BlogPosting","headline":"How AI Chatbots Are Cannibalizing Your B2B Organic Funnel (and What to Do About It)","description":"AI chatbots are intercepting B2B buyers before they click. 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