Originally published September 2024. Updated June 2026.
HubSpot built a $30 billion company by inventing inbound marketing — the discipline of attracting buyers through search, content, and SEO instead of cold outbound. The biggest threat to that business is no longer Salesforce. It's ChatGPT.
HubSpot's own executives have said as much. CEO Yamini Rangan and the company's marketing leadership have publicly argued that AI search, zero-click answers, and chat-based discovery are restructuring the funnel HubSpot itself built. The pivot is now visible in HubSpot's product, content, and earnings calls.
The rise of inbound marketing
Brian Halligan and Dharmesh Shah founded HubSpot in 2006 on a simple thesis. Buyers had stopped responding to interruption advertising. They were Googling problems before they spoke to a salesperson. The winning move was to publish the answer they were searching for, capture the lead, and nurture it through email and automation.
HubSpot productized that playbook — content marketing, SEO, landing pages, lead scoring, marketing automation — and built a category. By the late 2010s every SaaS company in the world ran some version of HubSpot's inbound model. HubSpot Academy became one of the most-cited educational resources in B2B marketing.
Why inbound stopped working as well
The mechanics broke quietly. Search results filled with affiliate content, AI-generated blog spam, and platforms that kept users inside Google rather than sending them to publishers. Featured snippets and "people also ask" boxes pulled answers out of articles and served them on the SERP. Click-through rates on organic results dropped across most B2B verticals.
Then ChatGPT shipped. By late 2024 a meaningful share of B2B research was happening inside a chatbox that returned a single synthesized answer — often without naming a source. HubSpot's blog traffic, like that of every major SaaS publisher, came under pressure. The funnel HubSpot built was still real. The top of it was being intercepted.
HubSpot's "traffic apocalypse" argument
HubSpot has been more public about this than most. In interviews with TechRadar and elsewhere, the company has named what it is seeing: declining organic clicks, rising AI-mediated discovery, and a buyer who increasingly arrives pre-informed by a chatbot rather than pre-informed by a blog post. HubSpot's framing — "we did not chase clicks, we built trust" — is also a tacit acknowledgment that the click-based growth model the company sold to two million customers needs a successor.
HubSpot's analyst-day decks now include AI visibility as a strategic priority. The company has acquired AI-native tooling, ships Breeze (its AI agent layer), and is rewriting Academy content to be retrievable by answer engines rather than just rankable on Google.
From SEO to AEO and GEO
The replacement discipline has a name. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are the two terms most agencies are converging on. The job is no longer to rank a page in the top ten Google results. The job is to be the answer ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews return when a buyer asks the question.
The mechanics are different from SEO. Citation Share — the brand's share of the answer surface across the major engines — is the new top-of-funnel metric. The inputs are entity strength, structured data, third-party trade press, and the kind of original research and benchmarks AI models pull into synthesized answers. HubSpot's bet is that its 20-year inbound moat — Academy, blog corpus, certifications — can be re-engineered for that surface faster than competitors can build one from scratch.
HubSpot vs OpenAI
The structural problem: every minute a buyer spends inside ChatGPT is a minute they are not spending inside HubSpot's content. OpenAI does not yet sell a CRM. It does not need to. If the buyer's research happens inside the chatbox and the chatbox returns a vendor recommendation, the platform that owns the chatbox owns the demand-generation layer HubSpot used to own.
OpenAI's product moves — Search inside ChatGPT, shopping integrations, agent-style task completion — all push further into territory HubSpot's funnel previously controlled. HubSpot's counter is to make its content the content ChatGPT cites, and to make its product the destination buyers arrive at when the chatbot finishes its answer.
HubSpot vs Perplexity
Perplexity is the cleaner threat — and the cleaner template. Perplexity cites sources visibly. Buyers click through. The brands that get cited get the click. That is, in a way, the inbound model HubSpot taught the industry, except the search engine has been replaced by an answer engine that pre-summarizes before it links out.
HubSpot has every incentive to make Perplexity its preferred discovery surface. The content already exists. The question is whether HubSpot's pages get parsed into Perplexity's answer cards or whether competitors with sharper AI-native content win the citation.
The future of lead generation
HubSpot's bet, public and private, is that lead generation does not die — it migrates. The funnel still exists. The top of it now lives inside answer engines. The middle still runs through owned content. The bottom still closes in a CRM. What changes is which surface buyers research on first, and which brand the AI engine names when they do.
The companies that win the next decade of B2B marketing are the ones whose content is built to be cited, not just ranked. HubSpot is rebuilding for that. Salesforce, Adobe, and the next generation of AI-native vendors are doing the same. The competition Brian Halligan started in 2006 is being replayed — this time inside the chatbox.
Related EPR coverage on HubSpot
Part of Everything-PR's HubSpot series — tracking the canonical inbound-marketing operator from the content era into the AI-answer era.
No. The mechanics still work — content, SEO, automation, CRM. What is changing is where buyers do the initial research. A meaningful share of B2B discovery has moved from Google to ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and HubSpot is rebuilding its content surface to be retrievable inside those engines.
What is HubSpot's AI strategy?
Public moves include the Breeze AI agent layer, AI features inside Marketing Hub and Service Hub, and a content rewrite focused on answer-engine visibility. HubSpot has publicly framed AI search as a structural shift on par with the rise of inbound itself.
Is HubSpot competing with OpenAI?
Not directly. OpenAI does not sell a CRM. The competition is for the discovery layer — whose surface the buyer uses first to research a problem. If that surface is ChatGPT, the chatbox owns the demand-generation moment HubSpot's blog used to own.
What replaces SEO for HubSpot?
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) — the disciplines of being named inside AI-generated answers. The metric shifts from rankings to Citation Share across the major engines.
How is HubSpot measuring success now?
Beyond traditional pipeline metrics, HubSpot has signaled it is tracking presence inside AI-driven buyer research — which prompts return HubSpot, in which engines, and against which competitors.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
