u/Hot_Procedure_1180

Disclosure upfront: I’m affiliated with Writesonic, so obviously I’m not a neutral third party. That said, I tried to make this comparison based on public product pages rather than “our tool good, their tool bad.” If I’m missing any HubSpot limits or recent updates, please correct me.

HubSpot just launched HubSpot AEO, and I think it’s a useful signal for the market: AI visibility is now mainstream enough that a major CRM platform is productizing it.

But after comparing what HubSpot is offering publicly vs what serious GEO/AEO teams actually need, my read is:

HubSpot AEO is probably a good entry-level option for HubSpot-heavy teams.

It does not look like a complete AI visibility platform yet.

Here’s the practical breakdown.

HubSpot AEO currently says it covers ChatGPT, Gemini, and Perplexity. It includes brand visibility, sentiment analysis, prompt tracking/suggestions, competitor and citation analysis, and prioritized recommendations. It’s also marked beta and priced at $50/month as a standalone product.

That’s a smart wedge. Low price. Familiar brand. Easy for existing HubSpot users.

But the tradeoff is depth.

AEO/GEO is not just “run a few prompts and show a score.” The actual workflow is closer to:

1. Track how your brand appears across the major AI surfaces buyers use.
2. Compare that against competitors by prompt, region, topic, and intent.
3. Understand which sources AI systems are citing.
4. Identify whether the issue is content, citations, technical visibility, sentiment, or authority.
5. Take action from the same workflow.
6. Measure whether visibility and citations actually changed.

That’s where I think HubSpot’s first version looks thin.

For example, Writesonic tracks AI visibility across up to 10+ AI platforms on enterprise plans, including ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, DeepSeek, and Meta AI. It also connects visibility tracking with content, SEO audits, Action Center recommendations, prompt/page/brand exploration, alerts, and agentic workflows.

So the difference is not “HubSpot has AEO and Writesonic has AEO.”

The difference is:

HubSpot seems built as a lightweight AEO layer inside a CRM/marketing suite.

Writesonic is built around the AI visibility workflow itself: track it, diagnose it, fix it, and measure it.

To be fair, HubSpot has real strengths:

• If your whole marketing operation already runs on HubSpot, the CRM context is valuable.
• $50/month makes it easy to test.
• Their launch post claims HubSpot beta users saw AI referral traffic grow 20% compared with non-users.
• HubSpot also says its own AI leads grew 1,850% and converted 3x higher than traditional search, though that’s proprietary/internal data.

But I’d be cautious about treating HubSpot AEO as “the” AEO platform if you’re serious about AI search visibility.

The public page raises a few questions for me:

• Is 3-engine coverage enough when buyers are using ChatGPT, Perplexity, Gemini, Claude, Copilot, Google AI Overviews/AI Mode, and others?
• Are the recommendations deeply actionable, or mostly dashboard-level guidance?
• How much can teams do if they’re not already using HubSpot’s content/CRM ecosystem?
• How granular is tracking by prompt, market, language, page, and citation source?
• Can it support agencies or enterprise teams managing multiple brands, regions, and competitors?

My honest take:

If you’re a HubSpot customer who wants a cheap first look at AI visibility, HubSpot AEO is probably worth testing.

If AI visibility is becoming a serious acquisition channel for your company, I’d compare it against dedicated platforms before standardizing on it.

The category is moving too fast for “visibility score + recommendations” to be enough.

The better question is: once you know you’re not showing up, can the platform help you actually fix it?