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Best AI Search Visibility Tools for Small Businesses in 2026: HubSpot AEO vs Semrush vs Otterly vs Profound vs Scrunch

Compare HubSpot AEO, Semrush, Otterly, Profound, and Scrunch for AI search visibility, prompts, citations, competitors, reporting, and price.

Best AI Search Visibility Tools for Small Businesses in 2026

If customers ask ChatGPT, Gemini, Perplexity, or Google’s AI search features for recommendations, can your business tell whether it appears—and why a competitor may be cited instead?

That is the decision behind choosing an AI search visibility tool. The right product should do more than show an occasional brand mention. It should help you measure visibility across relevant platforms, understand which sources are being cited, compare competitors, monitor important prompts over time, and connect those findings to practical marketing work.

For a small business, agency, or lean marketing team, the best choice is rarely the tool with the longest platform list. It is the tool whose measurement method, prompt capacity, reporting, integrations, and price structure match the questions you actually need to answer.

This comparison covers HubSpot AEO, Semrush AI Visibility Toolkit, OtterlyAI, Profound, and Scrunch using publicly documented product information. Features, limits, and platform coverage can change, so confirm current terms before purchasing.

Quick comparison

| Tool | Best fit | Documented strengths | Key consideration | |---|---|---|---| | HubSpot AEO | HubSpot customers and small teams seeking a simple standalone tracker | Visibility scoring, competitor share of voice, citation analysis, recommendations | Tracks ChatGPT, Gemini, and Perplexity; base plan lists 25 prompts | | Semrush AI Visibility Toolkit | SEO teams wanting AI visibility inside a broader SEO workflow | Prompt research, competitor research, site auditing, reporting, SEO integration | Published price is $99 per month with 25 tracked prompts and one Brand Performance domain | | OtterlyAI | Self-serve monitoring across several AI search surfaces | Mentions, citations, competitors, prompt research, reports, API | Verify the exact plan limits, refresh frequency, and API terms for your use case | | Profound | Larger teams needing research, analytics, and optimization workflows | Prompt-volume research, visibility, citations, sentiment, content gaps, agent analytics | Starter and Growth plans list 50 and 100 monthly prompts respectively; broader needs may require tailored plans | | Scrunch | Teams combining AI search monitoring with crawler and referral analytics | Prompt and citation monitoring, AI crawler data, referral analytics, agent-focused infrastructure | Some delivery and infrastructure capabilities may require integrations or specific availability |

How to evaluate AI visibility software

1. Start with the search surfaces that matter

The platforms are not interchangeable. HubSpot AEO documents coverage for ChatGPT, Gemini, and Perplexity (HubSpot). Semrush says its toolkit covers ChatGPT, Google AI Overviews, Google AI Mode, Gemini, and Perplexity, with additional enterprise coverage for platforms including Copilot, Grok, Claude, and DeepSeek (Semrush).

OtterlyAI lists ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude API (OtterlyAI). Profound lists ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Microsoft Copilot, Grok, and DeepSeek (Profound). Scrunch lists nine monitored platforms, including ChatGPT, Perplexity, Google AI Overview, Google AI Mode, Gemini, Claude, Copilot, Grok, and Meta AI (Scrunch).

A longer list is not automatically better. A local service business may care most about Google AI Overviews and ChatGPT, while a software company may also need Perplexity, Claude, or Copilot. Check whether a platform is monitored directly, through an API, or through another sampling method. Regional availability and authentication requirements also matter.

Google’s own guidance treats AI Overviews and AI Mode as features within Google Search, not as a replacement for conventional search measurement. Google recommends evaluating them alongside Search Console, Analytics, and overall traffic data (Google Search Central).

2. Compare prompts, not just dashboards

Prompt capacity is one of the most important buying constraints. HubSpot’s standalone AEO page lists a 28-day free trial, a $50-per-month price after the trial, and 25 prompts across ChatGPT, Perplexity, and Gemini (HubSpot). Semrush lists $99 per month for its AI Visibility Toolkit, with 25 tracked prompts, one folder, one Brand Performance domain, and AI-search checks for up to 100 pages (Semrush).

Profound states that Starter plans include 50 monthly prompts and Growth plans include 100 monthly prompts, while Enterprise tracking is tailored to customer requirements (Profound). OtterlyAI advertises daily search-prompt monitoring and prompt research, while its exact capacity and plan structure should be checked directly with the vendor (OtterlyAI).

Do not confuse the number of prompts with the number of questions your customers ask. Some tools let you supply a fixed prompt set. Others help discover prompts using modeled demand, observed conversation data, or prompt research. Profound says its prompt-volume research is based on real-user conversation data, according to the vendor (Profound). Those approaches answer different questions:

Fixed prompts: How visible are we for the exact questions we selected?
Prompt research: Which topics and queries might deserve monitoring?
Observed-demand data: Which conversations or question patterns appear to have real-world relevance?

For reliable trend analysis, use a standardized prompt set and review it repeatedly. Independent research warns that AI-search visibility can vary substantially with wording and repeated sampling, so one answer or one-time brand check is not a definitive measurement (arXiv).

3. Look beyond brand mentions

A mention is only the starting point. Useful analysis may include the cited URL, citation share, source domain, competitor visibility, answer position, sentiment, and the content gaps associated with a result.

HubSpot AEO documents competitor share-of-voice comparisons, citation gaps, and visibility recommendations (HubSpot). Semrush includes visibility benchmarking, competitor research, prompt research, brand performance reporting, prompt tracking, AI-search technical auditing, and presentation-ready reports (Semrush).

OtterlyAI lists brand-mention and citation monitoring, competitive benchmarking, prompt research, brand reports, and domain and URL citation analytics (OtterlyAI). Profound combines visibility scoring with citation analysis, sentiment analysis, competitive benchmarking, content workflows, and content-gap analysis (Profound).

Scrunch combines prompt monitoring and citation analysis with AI crawler and referral analytics (Scrunch). That distinction may matter to teams trying to connect visibility with visits rather than treating citations as an outcome by themselves.

Still, citation presence does not prove traffic, leads, or revenue. Connect tool data with analytics, Search Console, server logs, CRM records, and conversion reporting wherever possible.

Tool-by-tool analysis

HubSpot AEO: the straightforward option for HubSpot-oriented teams

HubSpot launched AEO as a standalone product and as an AEO capability integrated into Marketing Hub Professional and Enterprise on April 14, 2026 (HubSpot announcement). Its documented feature set centers on visibility across ChatGPT, Gemini, and Perplexity, with scoring, competitor analysis, citation analysis, and recommendations (HubSpot).

The clear appeal is simplicity: a small team can start with a relatively focused set of engines and a published entry price. It is a strong candidate if your organization already uses HubSpot and wants visibility data near existing marketing workflows.

The trade-off is narrower documented platform coverage and a 25-prompt base allocation. If you need Google AI surfaces, Claude, Copilot, or many regional prompt sets, confirm whether HubSpot’s current product scope is sufficient.

Semrush AI Visibility Toolkit: the SEO-suite choice

Semrush is the most natural fit for teams that want AI visibility connected to established SEO research and technical workflows. Its toolkit includes visibility benchmarking, competitor research, prompt research, brand reporting, prompt tracking, AI-search auditing, and presentation-ready reporting (Semrush).

The published base price is $99 per month, with 25 tracked prompts, one folder, one Brand Performance domain, and checks for up to 100 pages (Semrush). That makes the limits as important as the headline price. Agencies and multi-site teams should investigate additional domains, users, exports, locations, and reporting requirements before comparing it with a dedicated AEO platform.

Choose Semrush when the same team needs conventional SEO data and AI-search visibility in one environment. Choose a more specialized product when AI-answer analysis is the primary requirement.

OtterlyAI: a focused monitoring candidate

OtterlyAI focuses on monitoring brand mentions, citations, competitors, and prompt results across several AI search platforms. Its site also lists prompt research, daily monitoring, brand reports, domain and URL citation analytics, and an API (OtterlyAI). The company states that a seven-day free trial is available without a credit card (OtterlyAI).

This positioning may suit small businesses and agencies that want dedicated monitoring without adopting a full SEO suite. Before committing, verify prompt volume, refresh schedules, geographic coverage, report customization, client workspaces, and API access for the specific plan.

Profound: the research and optimization platform

Profound presents a broader AEO platform. Its documented features include prompt-volume research, answer-engine insights, agent analytics, content workflows, visibility scoring, citation analysis, sentiment analysis, and competitive benchmarking (Profound). It also says its data covers a wide range of answer engines and analyzes consumer-facing answer-engine experiences rather than only API outputs (Profound).

That breadth is useful for larger marketing organizations that need research, monitoring, optimization, and competitive analysis together. Starter and Growth plans list 50 and 100 monthly prompts, respectively (Profound). Smaller teams should determine whether those broader capabilities justify the likely complexity of their workflow and plan requirements.

Scrunch: the visibility-plus-infrastructure option

Scrunch goes beyond prompt and citation monitoring by combining AI-search insights with crawler and referral analytics. Its platform includes site maps and an Agent Experience Platform that can detect AI agents and serve AI-optimized content through supported infrastructure (Scrunch).

This makes Scrunch worth considering when the technical behavior of AI crawlers and referrals is as important as answer visibility. Its documented platform list is broad, including Google AI surfaces, ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, and Meta AI (Scrunch).

However, confirm implementation requirements. AI-delivery and edge-optimization capabilities may depend on CDN or hosting integrations, rollout status, or an enterprise plan.

Which tool should you choose?

Choose HubSpot AEO if you want a focused, published entry price and already work in HubSpot.
Choose Semrush if AI visibility should sit alongside SEO research, technical auditing, and established reporting workflows.
Choose OtterlyAI if dedicated monitoring, citations, competitor tracking, and self-serve evaluation are your priorities.
Choose Profound if you need prompt research, broad answer-engine coverage, sentiment, content workflows, and deeper optimization analysis.
Choose Scrunch if crawler behavior, AI referrals, and agent-facing infrastructure matter alongside prompt visibility.

Before buying, create a test specification: your engines, countries, languages, domains, prompt set, reporting cadence, competitors, users, integrations, and required exports. Then ask each vendor to map its limits and methodology to that specification.

Finally, treat visibility as a directional measurement rather than a guaranteed ranking. New AI-search systems increasingly use planning, tools, multi-hop retrieval, and reflection, so simple citation counts may capture only part of how visibility is produced (Search Engine Land). The best tool is the one that helps your team make repeatable decisions—and validate them against real customer behavior.

Sources

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