Marketing

Product SEO is one of the highest-leveraged — and most overlooked — strategies in B2B and SaaS marketing. While most teams pour resources into top-of-funnel content, the pages that actually drive pipeline decisions, such as feature pages, comparison pages, and pricing pages, often go unoptimized and underperform.

For years, HubSpot invested in making our platform the best place for marketing, sales, and service teams to do their work. With AI, we’ve been building it to do the work for them – through agents that qualify leads, resolve tickets, save deals, and drive outcomes across the business. That’s why we call HubSpot an agentic customer platform.

As a content writer with over 7 years of SEO experience, I can confidently say that keyword clustering is a critical technique—even in a world where the SEO landscape has changed significantly.

You already track and analyze your SEO strategy — keyword rankings, organic traffic, SERP positions. But when a prospect asks ChatGPT, Perplexity, or Google AI Overviews a buying question and your brand doesn’t appear in the answer, traditional rank tracking can’t tell you that. AEO prompt tracking helps you measure brand visibility within AI-generated answers by monitoring whether (and how) your…

Every company’s competitors are showing up in AI-generated answers, but do marketers know which ones, for which queries, and why? That’s exactly what AEO competitor analysis is designed to tell teams.

When tracking share of voice for marketing teams, it’s often assumed to be a vanity metric — a number executives like to include in board decks but one that rarely influences strategy. In practice, that assumption doesn’t hold up.

I’ve spent considerable time testing free answer engine optimization tools across dozens of brand audits, and the verdict is clear: you don’t need a five-figure tech stack to get meaningful AEO data.

When I first started auditing content for answer engine visibility, I assumed the keyword research process was roughly the same as traditional SEO — just with a few tweaks. I was wrong.

Every few years, marketing headlines announce the demise of one foundational strategy or another. First, email, then blogging, then search engines. Now, with the rise of AI comes the question, “Is AI killing web traffic?” But the curiosity is actually warranted.

Your competitors are adjusting pricing, launching new ad creative, publishing content that outranks yours, and showing up in AI answers you didn’t know existed — often all in the same week. Competitor monitoring tools exist to catch those moves early, but most teams end up with fragmented data scattered across platforms, and by the time they’ve pieced it together, the window to respond has closed.

This is part two of a three-part series on how HubSpot transformed with AI. Part one covers how we build with AI. Part three is how we operate as an AI-first company.

This is part one of a three-part series on how HubSpot transformed with AI. Part two covers how we grow with Agent-first GTM. Part three is how we operate as an AI-first company.

This is part three of a three-part series on how HubSpot transformed with AI. Part one covers how we build with AI. Part two covers how we grow with Agent-first GTM.

The AEO benefits that matter most to marketing leaders have shifted from theoretical to measurable. As AI-powered search engines like ChatGPT, Google AI Overviews, and Perplexity handle a growing share of how buyers discover brands, the rise of AI-powered search results increases brand visibility; the teams investing now are seeing real returns in conversion quality, pipeline influence, and long-…

Your brand’s AI visibility score covers the part of the search landscape that traditional SEO rank tracking can’t see. Tracking it is becoming as essential as monitoring Google rankings — and a lot harder to pin down.

A lot is going on in search today. Google still reigns supreme, but the competition and evolution coming from AI alternatives have many marketers wondering how to optimize for ChatGPT.

AI search engine citation tracking helps measure brand visibility and authority in AI-powered search results. As AI-powered search experiences reshape how people discover information, evaluate vendors, and build shortlists, visibility inside AI answers is no longer a vanity metric. If AI engines aren’t citing your brand, you’re missing influence at the exact moment buyers are forming opinions.

Generative AI is changing how people discover brands, products, and information. Because it disrupts the buyer journey, it requires new metrics, specifically GEO KPIs, that accurately reflect performance within these AI engines.

AEO metrics every marketer should track in 2026 Answer engine optimization (AEO) is a marketing strategy designed to help brands appear more consistently and accurately within AI-driven answer engines such as ChatGPT, Perplexity, and Copilot.

Research shows that 32% of buyers discover new B2B vendors using generative AI chatbots. This is why an answer engine optimization (AEO) strategy for B2B businesses is essential . AI-driven answer engines help buyers discover, evaluate, and shortlist vendors. The same research found that buyers start with an average of 7.6 potential vendors and narrow this to 3.5 before making their final decisio…