HubSpot AEO vs Otterly: Tracking Mentions on a Budget

HubSpot AEO vs Otterly comes down to workflow and coverage, not just the starting price. HubSpot costs more as a standalone tool but includes more prompts and Gemini; Otterly costs less and tracks Google AI Overviews and Microsoft Copilot on its base plan. If you are setting up a broader AI search programme, our AI search resources can help you connect tracking with the content work that follows.

Both products monitor a chosen set of buyer prompts and report whether a brand appears in AI-generated answers. Neither gives you a private view of what every person asks an AI assistant. You choose the prompts, and the platform runs checks against supported engines on a schedule.

This comparison focuses on the practical buying questions for a small team: what you pay, how many prompts you can follow, which engines are included, and whether findings fit into your existing marketing workflow. Prices and plan limits below are from the vendors’ product and pricing information linked in the relevant sections. Check each vendor’s current plan page before purchase, as packaging can change.

HubSpot AEO vs Otterly: the quick comparison

HubSpot AEO is the stronger fit when your team already works in HubSpot and wants to turn visibility findings into content tasks without moving between tools. Its standalone plan is listed at $50 per month, with 25 daily tracked prompts across ChatGPT, Gemini and Perplexity. Otterly’s Lite plan is listed at $29 per month, with 15 daily tracked prompts across ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot.

That gives Otterly the lower entry price and broader default coverage of Google AI Overviews and Copilot. HubSpot gives you more prompt slots at its standalone entry tier and includes Gemini without an add-on. There is no universal winner: the right option depends on what you need to observe and how your team will act on the results.

The plan details in this table are described on the HubSpot AEO product page and Otterly’s pricing and plan documentation. The comparison is between the products’ monitoring and workflow features, not between every feature in the broader HubSpot and Otterly product ecosystems.

1. Price: what does a small team actually pay?

At list price, Otterly Lite asks for less cash each month: $29 per month compared with HubSpot AEO’s $50 per month. Both vendors list a lower monthly equivalent for annual billing: Otterly lists $25 per month and HubSpot lists $45 per month. Those prices are published by Otterly and HubSpot. Compare the billing commitment as well as the headline monthly figure: annual billing means committing to the annual term.

On a simple price-per-prompt calculation, HubSpot’s $50 divided by 25 prompts is $2 per prompt per month. Otterly’s $29 divided by 15 prompts is about $1.93 per prompt per month. These are calculated from the vendors’ listed monthly prices and prompt allowances, not a price metric published by either vendor. The small difference should not decide the purchase by itself. A prompt slot has value only if it covers a query and engine combination that matters to your team.

The more important budget question is what happens after the entry tier. Otterly’s Standard plan is listed at $189 per month for 100 prompts. It also includes more workspaces, more audits, a Looker Studio connector and API or MCP requests, according to its plan information. That may make it attractive for a team managing several brands or needing reporting integrations, but it is a considerable step up from Lite.

HubSpot AEO can be bought as a standalone product, and the product information also describes it as included for Marketing Hub Professional and Enterprise customers. The bundled option may be good value if you already pay for one of those plans. It is not sensible to buy a large marketing platform solely to avoid a separate AEO subscription unless you have independently established a need for the broader platform. A bundled feature is not the same thing as a free product when the bundle itself has a substantial cost.

For a smaller team, compare total cost with the work you need to do. If the main need is checking a compact set of prompts, the entry plans may be enough. If you need more prompts, extra AI engines, or reporting across client workspaces, calculate the cost at the tier you will actually use. Otterly lists paid add-ons for Claude and Google AI Mode, and Gemini is an add-on rather than a default Lite engine. Those add-ons can change the value comparison if you need them. HubSpot’s default set includes Gemini, but its core tracker does not cover AI Overviews or Copilot.

A useful budget worksheet has four lines: base subscription, engines you need to add, extra prompt or workspace capacity, and the time your team spends transferring findings into action. It prevents a low entry price from concealing a costly configuration. It also prevents you from treating a higher subscription as poor value when it replaces manual reporting or fits a workflow your team already uses.

2. Prompt limits: 15 or 25 is not a complete measurement plan

HubSpot’s standalone plan includes 25 search prompts tracked daily. Otterly Lite includes 15 prompts tracked daily, according to the respective vendor plan details. At face value, HubSpot provides ten more slots, or roughly two-thirds more than Otterly’s 15. That may provide more room for a small set of product categories, competitors and buyer stages.

But the counts do not tell you how much market coverage you receive. One prompt should represent a question that a real buyer or influencer might ask, not a vague topic chosen just to fill a slot. For example, a B2B software team might want to track a category recommendation, a comparison with a named competitor, a specific use case, and a question about implementation. A shop could focus on product type, material or feature, suitability, and comparisons. The exact set depends on the audience and the products being sold.

Otterly’s prompt rules are especially important when a team works across countries. Its documentation says one prompt slot corresponds to one country or location. If you want to monitor the same five queries in the United States, United Kingdom and Canada, that uses all 15 Lite slots. A team should confirm the current location rules in Otterly’s pricing documentation and plan its prompt list before choosing a tier.

HubSpot’s prompt flexibility is different: the supplied product information says prompts can be swapped without permanently consuming the allowance. That can help a small team learn which queries are worth keeping. It does not mean you have unlimited simultaneous tracking. You still need to choose which questions remain active at a given time.

Treat a prompt allowance as a research constraint. Start with the questions closest to a buying decision. Include a small number of comparison and trust questions if they matter to your category. Add broader informational questions only if you have a clear plan to use the result. This gives a 15-prompt plan a better chance of being useful than a 25-prompt plan filled with broad, overlapping queries.

Before activating a prompt, write down what decision the result could change. Would a missing mention lead you to improve a comparison page, explain a use case, update a product detail, or investigate a third-party source? If there is no plausible action, the prompt may not deserve a limited slot. This is a practical way to keep tracking tied to marketing decisions rather than collecting charts for their own sake.

3. Engine coverage: where does each product look?

The largest functional difference is the default list of AI engines. HubSpot AEO’s prompt tracker covers ChatGPT, Google Gemini and Perplexity. Otterly Lite covers ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot. If your reporting brief explicitly requires AI Overviews or Copilot, Otterly has the more direct fit at its entry tier. If Gemini is essential and you want it included without an Otterly add-on, HubSpot is simpler.

Google AI Overviews are a particular dividing line. HubSpot says it can track referral traffic from sources such as Copilot and other AI experiences through web analytics, but that is not the same as running prompt-level monitoring inside Google AI Overviews. Do not interpret a referral report as a direct measure of whether your brand appears in an AI Overview for a selected query. Otterly lists AI Overviews in its base engine set, which is a more direct match for that measurement need.

Otterly’s engine list also includes Copilot at entry tier. Claude and Gemini are available as add-ons, while Google AI Mode is also offered as a paid add-on. The vendor’s add-on pricing varies by plan. If you need a particular engine, check the exact current fee and tier before comparing totals. A product’s total engine coverage is not just its base plan list.

Neither platform should be treated as a complete record of how every AI answer is produced. Each tests the prompts you provide against supported engines and reports what it observes. AI answers can vary by wording, time, location and other conditions, so monitoring is a directional view of selected questions. It is not access to individual users’ private conversations or a census of all searches.

Make an engine checklist before you buy. Mark each engine as essential, useful or not currently needed. Essential means your audience or reporting requirement specifically calls for it. Useful means it would add context, but the team can start without it. This simple ranking helps avoid paying for add-ons that no one will review, while making a real coverage gap visible before procurement.

For example, an organic search team focused on Google’s results may place AI Overviews first. A team monitoring conversations across ChatGPT and Gemini may choose a different set. An agency responding to a client brief that names Copilot should confirm that the chosen plan actually tracks it, not merely web referrals from it. Match the product to the question you need answered, rather than choosing a tool based on a long engine list in a feature comparison.

4. Workflow fit: reporting a gap versus acting on it

HubSpot’s clearest advantage is the connection between visibility monitoring and its marketing environment. Its AEO product describes citation source analysis, visibility and sentiment tracking, and prioritised actions such as improving a page or creating content. For teams that already manage their website, campaigns and customer records in HubSpot, the shorter path from diagnosis to a content task can matter more than an extra engine on another product.

HubSpot also describes links from recommendations to its Content Agent for drafting content in certain Marketing Hub plans. That can reduce the number of hand-offs from identifying a gap to preparing a draft. It does not remove the need for editorial review, fact-checking or a human decision about whether the recommended topic is right for the business. A draft is an execution aid, not proof that a page will be cited or rank.

Otterly is more focused on monitoring, technical checks and extensibility. Its Lite plan includes 1,000 URL audits a month, according to its pricing documentation. These audits are intended to help identify issues such as crawlability, schema and citation readiness. The platform also offers query fan-out research, which can help a team explore related sub-questions behind a broader query. That is useful when the team needs a diagnostic view of pages and topics, rather than a direct route into a specific CMS.

The trade-off is that Otterly does not provide HubSpot’s same built-in content execution path. A team using WordPress, Webflow, Shopify or another system will need to take the findings to its own content process. That may be entirely reasonable. Many marketing teams have a well-established editorial workflow and do not want their monitoring tool to determine where content is drafted. The extra hand-off only becomes a problem if no one owns it.

A practical test is to follow one insight through each tool. Suppose the monitor reports that the brand is missing from a relevant comparison prompt. Ask: who checks whether the finding is repeatable? Who identifies the pages or sources that might address it? Who creates or updates the content? Who approves it? Who checks the result later? HubSpot may make some of those steps easier inside one environment. Otterly can inform the work, but the team must have a process to carry it into its CMS and measure the follow-up.

If your content team wants a repeatable publishing process alongside monitoring, read our guide to content strategies for AI search visibility. It can help you think through how to turn an observation into useful, well-supported content instead of treating the monitoring dashboard as the final output.

5. Technical audits and research tools

Otterly has a stronger entry-level technical audit proposition. The vendor lists 1,000 URL audits per month with Lite. That can be useful for an agency or technical SEO team that wants to inspect many pages for access and markup issues while also tracking a small prompt set. Check what each audit covers and whether the output maps to checks your developers can act on; an audit count alone does not tell you the depth or usefulness of an audit.

HubSpot’s emphasis is different. Its AEO product presents prioritised recommendations connected to visibility and content opportunities, rather than leading with a large monthly URL audit allowance. That may suit a marketer who needs a manageable list of content actions. It is less suited to someone choosing mainly on the basis of bulk technical URL checks.

The tools also offer different kinds of free starting points. HubSpot’s AI Search Grader is a free, one-time diagnostic that scores a brand across five dimensions, including sentiment, presence quality, recognition, share of voice and market competition. The AI Search Grader is useful as a quick baseline, but it is not a substitute for ongoing prompt tracking. It does not give you the same daily history of a chosen prompt set.

Otterly offers free GEO tools, including a prompt calculator and query fan-out test, and its pricing information describes a seven-day free trial. These are different ways to explore the product and research prompts. They should not be mistaken for ongoing monitoring at no cost. A one-time grader, a free tool and a time-limited trial answer different questions.

If you are undecided, use the free options to clarify your measurement plan before subscribing. Run a baseline diagnostic, list the actual prompts you want to monitor, identify the engines required by your team, and decide how findings will be assigned. Then compare the paid plans against that checklist. This avoids choosing a product because its free tool produced an interesting score, when the paid workflow may not match your requirements.

6. Integrations and reporting for in-house teams and agencies

HubSpot is a natural fit for teams that already use its CRM, Marketing Hub or Content Hub. Its appeal is not only that visibility information lives in the same product family. The value is the possibility of connecting an observation to a page, campaign or customer journey that the team already manages there. That can help an in-house team keep the work close to existing owners and reporting routines.

That integration story has a limit: HubSpot AEO is tied to a HubSpot portal, and the supplied product information notes one brand portal per subscription. An agency responsible for several unrelated client brands should test how its account structure and reporting needs fit the product before committing. A familiar CRM is less helpful if the team needs separate client workspaces, consolidated reporting or access controls that the chosen plan does not provide.

Otterly Standard is more explicitly positioned for reporting and extensibility. Its plan information lists unlimited workspaces, a Looker Studio connector, and 2,000 API or MCP requests per month. Those capabilities can be useful for an agency building repeatable client reports or a technical team that wants to bring monitoring data into other systems. They are not included in the same way on the Lite plan, so check the tier boundary before treating them as part of the entry-price comparison.

Integrations have value only when someone maintains them. A Looker Studio connector can support a reporting workflow, but the agency still needs to decide which measures go into a client report and explain what they mean. API or MCP access can enable custom workflows, but it may require technical setup and ongoing ownership. If the team does not have that need, an integration feature may be a reason to pay more without delivering practical value.

For a single in-house team, ask whether a dashboard will be reviewed by the people responsible for content and demand generation. For an agency, ask whether the tool makes client separation and reporting easier at the tier you can afford. For both, confirm what is included in the plan rather than assuming that a connector or multi-workspace feature is available everywhere.

7. How to build a prompt set that fits either plan

A small allowance works best when prompts are selected deliberately. Start with a list of questions customers ask during research and evaluation. Use sales calls, customer interviews, search data and support questions where available. Then group the questions by intent, such as learning about a category, comparing options or checking a specific claim. These are practical research inputs, not claims that either platform can automatically reveal every real customer query.

A focused starter set could include:

• A category question, such as which tools suit a defined need.
• A comparison prompt that names your brand and a relevant alternative.
• A use-case prompt that describes the customer’s context.
• A trust or suitability question that reflects a genuine objection.
• A product or service question that tests whether key attributes appear accurately.

Do not copy these examples without adapting them. A useful prompt names the audience, use case or decision criteria when those details affect the answer. Avoid adding many near-duplicates that differ only in wording unless you have a reason to test the wording variation. The goal is to learn something actionable, not to inflate the list.

If you sell in multiple regions, prioritise where you have customers, revenue or a specific launch goal. This is particularly important for Otterly because its plan rules count a prompt by country or location. A team with a limited allowance may need to monitor its highest-priority region first, then expand if the data and budget support it. For HubSpot, use the ability to replace prompts to refine the active set as you learn which questions are most informative.

Review prompt performance as a decision aid, not as a rigid scorecard. If a result changes, check whether the answer, citation or observed brand mention also changed. Look at the cited sources and the pages you control. Then decide whether the next step is a content update, a stronger explanation on an existing page, outreach to a relevant third-party publisher, or no action. A missing mention does not automatically mean a page needs rewriting.

Finally, document the prompt and its purpose. Note the audience, location, engine, business question and owner. This makes it easier to explain why the prompt exists and whether it should remain in the set. It also makes comparisons more useful over time, because a team can distinguish a real change from a prompt list that was frequently altered without documentation.

8. Pros and cons at a glance

HubSpot AEO pros

• More entry-tier prompts than Otterly Lite: 25 compared with 15, based on the vendors’ published plan details.
• Gemini is included in the listed core engine set, alongside ChatGPT and Perplexity.
• A standalone option is available, so a team does not need to buy a Marketing Hub plan just to use AEO.
• Recommendations can fit naturally into HubSpot marketing and content workflows.
• HubSpot says prompts can be replaced without permanently consuming the allowance.
• The free AI Search Grader offers a quick, separate baseline for teams not ready to subscribe.

HubSpot AEO cons

• The standalone list price is higher than Otterly Lite’s list price.
• Its core prompt tracker does not include Google AI Overviews or Microsoft Copilot.
• Twenty-five prompts can still be restrictive when a brand tracks many products, buyer stages or countries.
• Teams outside the HubSpot ecosystem may not get as much value from its workflow connection.
• A content draft still requires human review and a separate decision about whether it serves the buyer.

Otterly pros

• The Lite list price is lower than HubSpot AEO’s standalone price.
• Google AI Overviews and Microsoft Copilot are included in the listed base engine set.
• Lite includes 1,000 URL audits per month, which may suit teams with a technical audit need.
• Standard offers capabilities such as unlimited workspaces, Looker Studio and API or MCP access, according to the plan details.
• The prompt calculator and query fan-out test can help with initial research.

Otterly cons

• The 15-prompt Lite allowance can fill quickly, especially for multi-country monitoring.
• Standard’s listed price of $189 per month is a substantial step up from Lite.
• Gemini and Claude require add-ons, and the total varies by plan.
• Otterly’s monitoring and diagnosis do not provide the same native HubSpot content execution path.
• Technical audit volume does not guarantee that every recommendation is relevant or should be implemented.

9. Verdict by situation

Choose Otterly Lite if you need a low-cost starting point

Otterly Lite is the more sensible starting point if your budget is below HubSpot’s standalone list price and your priority engines include Google AI Overviews or Copilot. Its 15 prompts are enough for a tightly scoped set of high-priority questions, provided you account for location slots and do not try to cover every product, competitor and market at once. Its included URL audits are an additional reason to consider it if technical diagnosis is part of the job.

Before selecting Lite, write out the prompt and country combinations you need. If your plan requires more than 15 combinations, the lower monthly fee may not be the relevant price. Also check whether your team can take audit findings and monitoring results into its own content and development workflow.

Choose HubSpot AEO if HubSpot is already your working environment

HubSpot AEO is the stronger fit when your team already uses HubSpot and wants to connect monitoring with content and marketing tasks. The standalone tier gives you 25 daily tracked prompts and includes Gemini, alongside ChatGPT and Perplexity. If you already qualify for the relevant Marketing Hub plan, the included AEO capability may be useful without a separate AEO line item. Evaluate the total HubSpot subscription on its own merits rather than treating it as a zero-cost alternative.

It is also a better fit if your team values replacing prompts as it refines its research set, or if it expects to act on recommendations within the HubSpot environment. Do not choose it as a way to measure AI Overview visibility directly: that is not part of the core prompt tracker described in the product information.

Choose Otterly Standard if you need agency scale and reporting features

For an agency managing several brands, Otterly Standard may make more sense than repeatedly stretching a Lite setup. The listed plan includes 100 prompts and unlimited workspaces, plus a Looker Studio connector and API or MCP requests. Those features are relevant when several client teams need their own tracking and the agency has a defined reporting process.

That does not mean every agency needs Standard. If you monitor one client and a narrow prompt list, Lite may be enough. If your client work is already organised around HubSpot and does not require the same cross-workspace reporting, HubSpot may be simpler. Model the client count, prompt needs, regional coverage and reporting work before choosing a tier.

Choose neither yet if you have not decided what to measure

A subscription will not resolve an unclear measurement plan. If you cannot name the questions, engines, regions and people responsible for acting on a result, pause and define them first. Try the vendors’ free diagnostic resources, check the current product pages, and build a prompt list around buyer decisions. Then select the tool that covers those requirements with the least unnecessary cost and workflow friction.

A simple decision checklist

Use these questions to make the comparison concrete:

1. Which engines must be included from day one: ChatGPT, Gemini, Perplexity, AI Overviews, Copilot, Claude or another option?
2. How many prompt and location combinations do you actually need to monitor?
3. Is the team already using HubSpot for content, marketing or CRM work?
4. Do you need technical URL audits, and will someone act on the issues they surface?
5. Will reports cover one brand or several client workspaces?
6. Are Looker Studio, API or MCP connections necessary, and does the relevant plan include them?
7. What is the monthly cost once add-ons and higher prompt needs are included?
8. Who owns the follow-up when tracking finds a gap?

A good decision is one that gives the team enough coverage to answer a defined question and a clear route to action. The cheapest plan is not automatically the best value, and the plan with the most features is not automatically the right one. Use the smallest setup that covers the engines, prompts and workflow you can genuinely support, then expand when a specific need justifies it.

For the typical small team, the verdict is straightforward: choose Otterly Lite for lower entry cost, AI Overview and Copilot coverage, or technical URL audits; choose HubSpot AEO when HubSpot workflow fit, Gemini and a larger entry prompt allowance matter more. If you are planning an ongoing programme rather than a one-off comparison, explore SearchFIT’s plans and our AI search visibility articles as a next step for planning the work around measurement.