Find out whether ChatGPT, Perplexity and Google AI actually know who you are.

No — but the foundations overlap, which is partly why teams mix them up. Traditional SEO optimizes for ranking high on a results page where people click through and choose. Answer Engine Optimization (AEO) aims to make you the source AI cites when it answers directly — in ChatGPT, Perplexity, Google AI Overviews, Claude and the rest. The user often clicks nothing at all.

That changes what matters: schema markup, structured data, unambiguous factual statements, signals of the source’s authority, and content written to be extracted and quoted rather than to rank and get clicks. So yes, strong technical SEO is a prerequisite — a site that’s hard to crawl is hard to quote accurately, too.

But the strategy, the success metrics and the content patterns really are different. Treating AEO as “SEO with new keywords” is the fastest way to underinvest in it.

Honestly? AEO is new to everyone — anyone showing you a three-year AEO case study is selling you something. What we do have: a decade of case studies in the disciplines AEO is built on — HubSpot operations, paid media and SEO.

The methodology carries over directly, because AEO is fundamentally about structured content and technical hygiene on top of a strong content strategy — all things we’ve done at scale for years.

For your situation, the better evidence is your own audit. Run our analyzer on your domain and you get a concrete picture of where you’re cited today, where competitors show up instead, and what can be fixed in the next 60 days. That audit is your case study — and it’s specifically about you, which a generic logo wall never could be.

We track four things: citation appearances across the major answer engines, your AI Overviews inclusion rate for priority searches, the analyzer score’s improvement over time, and referral traffic from LLM sources — ChatGPT, Perplexity, Gemini and the like — as it shows up in your analytics.

Together they show whether you’re being cited, how often, on the questions that matter to your pipeline, and whether those citations actually bring relevant visitors to your site.

You get a monthly report through HubSpot’s AEO tool that shows all of this in one view, with an explanation of what changed, what didn’t, and what we’re adjusting next month. No vanity metrics, no screenshot of one good week — just the trends.

It depends on where we intervene. Schema fixes, cleaned-up structured data and technical cleanup typically show up in citation patterns within 30–60 days. Answer engines recrawl quickly, and once your content becomes processable you become quotable on questions where you weren’t before. That’s the fast curve.

The slower curve is content-driven citation growth: building credible, well-sourced, easily extractable content that answer engines draw on again and again. That’s a 90–180-day process whose effect compounds — month six usually looks meaningfully different from month three.

We set expectations for both horizons upfront, so you don’t time a marathon with a sprint stopwatch.

You certainly can, and for some teams that’s the right call. The honest question is capacity. Most mid-market marketing teams we work with are already juggling content, paid media, lifecycle marketing, operations and a CRM migration that should have wrapped up last quarter.

Adding AEO — a discipline that needs technical SEO skills, content strategy, schema fluency and weekly tracking of a fast-moving landscape — usually means something else starts slipping.

We bring the capacity. Strategy and brand stay in your hands; we run the program, flag where we need your team’s input, and stay on top of the changes so you don’t have to. If you want to bring AEO in-house later, great — by then we’ll have built the playbook together and the handover will be simple.