Image: HubSpot Marketing Blog

UpTrajectory Review

HubSpot's Cassie Wilson Clark has published a practical field guide to AI search optimization tools — the software that tracks whether your brand gets mentioned, cited, and described accurately inside ChatGPT, Gemini, Perplexity, Google AI Mode, and similar answer engines. The piece's core argument is one we've been making in our own coverage: these tools complement traditional SEO rather than replace it. SEO tells you where you rank and how many clicks you earn; AI-search tooling tells you whether the machines summarizing the web are including you, how they characterize you, and whether that characterization is flattering. For a small-business operator who has spent years chasing Google rankings, this distinction matters enormously — your next customer may never see a ranked list at all.

What makes this piece useful rather than generic is its framing around jobs to be done. Clark organizes the crowded AI-search vendor landscape by the actual problem you're solving: baseline visibility (do I appear at all?), ongoing monitoring, crawl diagnostics, first-party platform reporting, or content execution. This is a far more honest way to shop for software than feature matrices, because most small businesses don't need all five jobs solved simultaneously — they need to know which one is their bottleneck. The guide also draws on product documentation and research from Ahrefs, Vercel, Microsoft, Google, and HubSpot itself, which gives it more grounding than the typical affiliate-style roundup.

We appreciate the piece's insistence on measurable outcomes before you spend money. Clark recommends a one-week pilot to prove impact before committing to a subscription — sound advice in a category where vendors are racing to rebrand existing SEO dashboards with an AI label. The guide also correctly flags that each answer engine surfaces and cites content differently, so optimization tactics that work for Perplexity may do little for ChatGPT or Google's AI Overviews. That nuance is often lost in breathless coverage of 'GEO' as a monolithic discipline.

Where we'd push back slightly: the piece is published on HubSpot's own marketing blog, and HubSpot sells marketing software that increasingly incorporates AI-search features. That doesn't invalidate the recommendations, but readers should know the author's day job is advising enterprise and scaling brands on AI visibility — an audience with budgets and technical teams that most Main Street businesses don't have. Some of the crawl diagnostics and schema work she describes may be overkill for a five-person shop whose real problem is that nobody has claimed their Google Business Profile or written a coherent FAQ page.

The second-order effect worth watching: as AI answer engines absorb more of the research phase, the small businesses that win won't necessarily be the ones with the fanciest monitoring stack — they'll be the ones producing clear, structured, genuinely useful content that machines can parse and cite. Tools help you see the problem; they don't fix it. There's also a growing risk of a visibility divide, where businesses that can afford AI-search tooling pull further ahead of those still optimizing only for blue links.

Our advice: read the full guide at HubSpot, then resist the urge to buy anything for thirty days. Instead, manually ask ChatGPT, Perplexity, and Gemini the questions your customers would ask, and see whether you appear, how you're described, and whether the information is accurate. That free audit will tell you more about which of Clark's five jobs you actually need to hire a tool for — and which problems a better FAQ page and some schema markup can solve for the price of an afternoon.

“SEO measures rankings, clicks, and organic traffic, while AI-search tooling adds visibility signals such as mentions, citations, sentiment, and answer accuracy.” — HubSpot Marketing Blog

Takeaway: Before buying any AI-search tool, manually query ChatGPT, Perplexity, and Gemini with your customers' real questions to learn whether you appear and how you're described.

Excerpt from the original — HubSpot Marketing Blog

AI search optimization tools help marketers understand where a brand appears in AI-generated answers, which sources earn citations, and what to improve next. They complement traditional SEO tools rather than replace them: SEO measures rankings, clicks, and organic traffic, while AI-search tooling adds visibility signals such as mentions, citations, sentiment, and answer accuracy.

Search behavior now spans traditional search results and AI-generated answers. Buyers use ChatGPT, Gemini, Perplexity, Google AI Mode, and other answer engines for conversational research, so the right tool stack depends on the problem you need to solve — baseline visibility, ongoing monitoring, crawl diagnostics, first-party platform reporting, or content execution.
This guide compares those jobs, the tools that fit each, and the measurable outcomes to consider when deciding what is worth paying for.
How …