Reviewed 15 August 2026 by Max Wiesner. This comparison uses current public product, pricing, and help documentation. We did not independently test every paid feature. Plans and supported models can change. KnitKnot publishes this page and appears below; that conflict is disclosed.

The short answer

Otterly remains a sensible low-cost entry point. Its pricing documentation lists 15, 100, and 400 search prompts across Lite, Standard, and Premium. Core coverage includes Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot; AI Mode, Gemini, and Claude are paid add-ons. The current free trial is seven days.

Look elsewhere only when you can name the missing job:

• Peec AI for a larger recurring prompt operation with projects, regions, and enterprise model choice.
• Gauge when monitoring must feed directly into content production.
• KnitKnot when visibility is less important than competitive claims and evidence.
• Profound for a broader AEO operating system and enterprise workflows.
• Semrush when the SEO team wants AI data in the same commercial stack.
• HubSpot AEO for a lightweight HubSpot-native workflow.

Comparison table

The scope signals below summarize current public packaging as of the review date. A prompt or model count is not a normalized usage unit across vendors.

Option	Product shape	Current public scope signal	Best when
Otterly.AI	Accessible recurring monitoring	15, 100, or 400 prompts; four core surfaces plus paid add-ons	A small team wants daily monitoring and citation/link visibility
Peec AI	Focused daily visibility analytics	50, 150, or 350 prompts with three selected models; up to 11 on Enterprise	Multiple projects, regions, or a larger model program justify more operations
Gauge	Monitoring plus content production	Growth lists 600 prompts run daily and 18 articles per month	Monitoring should feed directly into article production and site actions
KnitKnot	Frozen competitive benchmark	Four engines with material-claim evidence and later full-run comparison	The urgent problem is competitive accuracy rather than mention frequency
Profound	Broad AEO operating system	50-prompt ChatGPT Starter; up to nine engines on Enterprise	Demand data, content operations, and enterprise governance matter
Semrush AI Visibility	AI visibility inside an SEO suite	Base lists 25 custom prompts per domain	The team already runs keyword, backlink, and technical work in Semrush
HubSpot AEO	Lightweight HubSpot-native monitoring	25 prompts refreshed daily across three engines	Tool consolidation inside HubSpot matters more than specialist depth

1. Peec AI: best for a larger monitoring program

Peec’s current pricing packages 50, 150, or 350 prompts with three chosen models, daily tracking, and increasing project limits. Enterprise supports up to 11 models, API, SSO, custom prompt setup, and unlimited projects. Peec also documents MCP access and separates sources used in an answer from sources explicitly cited.

Choose Peec over Otterly when: multiple brands, regions, projects, larger prompt libraries, or enterprise controls justify a more operational product.

Keep Otterly when: the team primarily needs an affordable daily signal and clear link/citation monitoring.

2. Gauge: best for an integrated content loop

Gauge’s current public offer lists Growth at $599/month with 600 prompts run daily and 18 Content Engine articles per month. It also includes source and competitor analysis, Ask Gauge, site actions, and analytics integrations; Enterprise is custom.

Choose Gauge over Otterly when: the team wants the software to produce and operationalize content, not only surface monitoring findings.

Evidence caution: Gauge’s growth figures are vendor-published case studies. Validate comparable baselines, attribution, and time windows before using them in a purchase model.

3. KnitKnot: best for competitive claim evidence

KnitKnot runs a frozen benchmark across ChatGPT, Claude, Perplexity, and Gemini. It evaluates buyer-comparison outcomes and material claims, retains reliable source evidence when the response exposes it, groups recurring findings into persistent issues, and measures a later full benchmark against the same baseline.

Choose KnitKnot over Otterly when: AI already mentions the company, but the urgent questions are whether it states product facts correctly, why a competitor wins, and whether a targeted intervention changed the next evaluation.

Do not choose KnitKnot when: you want low-cost daily visibility monitoring across a large rolling prompt list. KnitKnot is intentionally a narrower benchmark workflow.

4. Profound: best for broad enterprise operations

Profound’s pricing lists a $99/month annual Starter tier for ChatGPT and 50 prompts, a $399/month annual Growth tier for three answer engines and 100 prompts, and custom Enterprise packaging with up to nine engines. Its wider platform includes Prompt Volumes, Agents, FactCheck, Projects, public dashboards, and MCP.

Choose Profound over Otterly when: enterprise governance, licensed demand data, content operations, or broad platform depth is worth the added complexity and spend.

5. Semrush AI Visibility: best beside SEO data

Semrush’s AI Visibility Base package is listed at $99/month per domain when billed annually and includes 25 custom prompts, competitor and prompt research, and AI-readiness site checks. Traditional Semrush subscriptions and Enterprise AI features are separate packaging decisions.

Choose Semrush over Otterly when: the operating advantage is connecting AI visibility with the team’s existing Semrush keyword, backlink, and technical SEO workflows.

6. HubSpot AEO: best for HubSpot-native adoption

HubSpot’s AEO product monitors 25 prompts across ChatGPT, Gemini, and Perplexity with daily refreshes and a 28-day trial. It is narrower than several dedicated products, but reduces tool switching for HubSpot teams.

Choose HubSpot over Otterly when: workflow consolidation matters more than model breadth or a specialist monitoring interface.

What to compare in a demo

Do not compare only the count of logos in a model list. Ask vendors to run the same buyer prompts and show:

1. The exact answer captured, date, locale, model or search mode, and cited URLs.
2. How one stored prompt translates into billable runs across models and regions.
3. Whether a source was merely mentioned, linked, or demonstrably used.
4. How the system distinguishes a visibility problem from an accuracy problem.
5. How the team records an intervention and measures a later result.

For a category-wide shortlist, see the AI visibility tools buyer’s guide.

Primary sources

• Otterly.AI pricing and free-trial terms
• Peec AI pricing and MCP documentation
• Gauge product and pricing
• Profound pricing, Prompt Volumes, and Agents
• Semrush AI Visibility pricing
• HubSpot AEO