Best Tools to Track ChatGPT Mentions

HubSpot AEO is a natural fit for teams that already run their marketing inside HubSpot and want AI search work connected to their existing CRM, campaigns, and content workflows.

The biggest advantage is context. If your customer data, content system, and marketing campaigns already live in HubSpot, then AEO becomes less of a separate tool and more of an extension of your existing marketing operation. That can be helpful for teams that want brand presence in AI search to connect back to leads, campaigns, and content creation.

For teams that are already deep in HubSpot, this may be the easiest place to start because it keeps the workflow inside a system your marketing team already uses. Instead of adding another standalone platform, HubSpot AEO can sit closer to your CRM and content process.

The tradeoff is that HubSpot may make the most sense when you are already committed to the HubSpot ecosystem. If your main goal is specifically to find lost buyer prompts, compare competitor recommendations, and quickly decide what pages to create, you may want a more focused tool alongside or instead of a broader marketing platform.

Semrush is a strong option for SEO teams that already use Semrush and want to add AI search tracking to their existing search workflow.

The appeal is obvious. Many teams already use Semrush for keyword research, competitor analysis, content planning, and SEO reporting. Adding AI search tracking inside the same ecosystem can make sense if your team wants to compare traditional SEO work with how your brand appears in AI-generated answers.

Semrush is likely a good fit if your team thinks about ChatGPT mentions as part of a broader search strategy. You may want to know where you rank on Google, where your competitors are gaining ground, where your content is cited, and how your brand appears across AI search surfaces.

The tradeoff is that broad SEO platforms can sometimes feel heavier than a focused ChatGPT mention tracking workflow. If you want a dedicated view of which buyer prompts recommend competitors instead of you, and what content to ship next, you may want something more specialized.

Peec AI is focused on helping marketing teams analyze brand performance across AI search platforms, including ChatGPT, Perplexity, and Gemini.

It is a good fit for teams that want a clear view of how their brand is performing, how competitors appear, and where AI systems are pulling information from. For SEO and content teams, that can help inform which pages to improve, which sources matter, and where a brand is underrepresented.

Peec may be especially useful for teams that already have a content operation and want more data around AI search performance. If your team is asking, “Where are we showing up, which competitors are showing up, and what sources are being surfaced?”, Peec belongs on the shortlist.

The tradeoff is that analytics still need to turn into decisions. Tracking presence is helpful, but the real value comes when your team can connect that data to a clear weekly content or optimization plan.

Profound is positioned for brands that want to understand and improve how they appear in AI-generated answers.

It is a strong fit for larger marketing teams and enterprise brands that care about brand representation, citations, sentiment, and competitive presence across AI search. If your company has multiple teams involved in content, communications, brand, and demand generation, a platform like Profound may fit into a broader executive-level AI search strategy.

Profound is less about a lightweight “check a few prompts” workflow and more about understanding how your brand is represented in the new discovery layer. That can be valuable for companies where brand perception, accuracy, and category ownership matter at scale.

The tradeoff is that enterprise-oriented platforms can be more than an early-stage team needs. If you are a smaller B2B SaaS company trying to find the exact prompts where ChatGPT recommends competitors, you may want a narrower and more action-driven workflow first.

Otterly AI is built around monitoring brand mentions, website citations, and prompts across AI search platforms.

This makes it useful for teams that want a recurring way to check whether their brand appears in ChatGPT, Perplexity, Google AI Overviews, and related AI search experiences. Instead of manually asking the same questions every week, teams can define prompts, monitor responses, and see how mentions shift over time.

Otterly may be a good fit if your team wants a straightforward monitoring setup. You can track brand mentions, compare against competitors, and watch for changes. That is useful because ChatGPT answers are not fixed. They can change as sources, content, and model behavior change.

The tradeoff is that monitoring is only one part of the work. Once you know a competitor is being mentioned instead of you, your team still needs to decide what to publish, update, or promote.

AthenaHQ is positioned around helping companies become the brand AI trusts and the answer AI gives.

It is a good fit for commercial and enterprise teams that are investing seriously in AEO or GEO and want a platform for understanding how their brand appears across AI search. AthenaHQ may appeal to teams that want a broader strategic view, including competitive tracking and recommended actions.

For companies in categories where AI recommendations could meaningfully influence buying decisions, AthenaHQ can help teams understand whether they are being included, how they compare to competitors, and where their brand needs stronger signals.

The tradeoff is similar to other broader platforms. If your immediate need is a simple, direct workflow for finding lost ChatGPT prompts and turning them into specific content opportunities, you may want a more focused tool.