Peec AI vs Otterly.AI vs Profound: which fits an agency?

A side-by-side of the three best-known AI visibility tools on engines, prompts, cadence, pricing and agency fit — plus when none of the three is the right buy.

Ranxii team4 min readComparison
On this page
  1. Side by side
  2. Peec vs Otterly
  3. Profound vs Peec
  4. What each costs at agency scale
  5. Otterly vs Profound
  6. What none of them is built for
  7. How to choose in practice
  8. Sources

Peec AI, Otterly.AI and Profound come up in almost every agency's shortlist. They're often compared as if they were the same product at three price points. They aren't: Otterly is a low-cost monitor, Peec is an analytics platform, Profound is an enterprise suite. Which one fits depends less on features than on how many clients you run and what you hand them at the end of the month.

Side by side

Otterly.AIPeec AIProfound
PositioningAffordable daily monitoringAI search analytics for marketing teamsEnterprise AI visibility suite
Entry price$29/mo (15 prompts)Not displayed on its pricing page; reviews report ~€85–$95/mo (~50 prompts)Free trial; Enterprise custom
Mid tier$189/mo (100 prompts, unlimited workspaces)Pro and Advanced tiersEarlier 2026 self-serve Growth reported at $399/mo (annual)
Engines in base priceChatGPT, AI Overviews, Perplexity, CopilotThree models by default (reports)Trial: ChatGPT, Gemini, AI Overviews; Enterprise: up to 9
Engine add-onsGemini, AI Mode, ClaudeAdditional modelsIncluded by plan
CadenceDailyDailyDaily
SeatsUnlimitedUnlimitedUnlimited (per pricing page)
Agency setupUnlimited workspaces from Standard; partner programAgency programAgency mode, per-client workspaces (reported $399/mo each)
IntegrationsAPI, MCP, Looker Studio (Standard+)API, Looker Studio connector (reported)API on Enterprise

Prices from each vendor's pricing page on 9 October 2026 unless marked as reported. Reported figures come from 2026 third-party reviews; confirm before buying.

Peec vs Otterly

This is the most common comparison, and the honest answer is that they serve different budgets.

Pick Otterly if you're tracking one to three brands, you want Google AI Overviews included, and the lowest monthly bill matters most. Lite at $29 is the cheapest credible entry point in the category. Standard's Looker Studio connector is a real advantage if your reports already live in Looker. When agencies outgrow it, see Otterly.AI alternatives.

Pick Peec if your team will spend time in the tool — exploring competitors, sources and prompt-level detail — and you want everyone to have access without paying per seat. The interface and analysis depth are the reason people pay more.

The trap with both: prompts are an account-wide pool. One client needs about 20 prompts to be meaningful. If you're comparing them for an agency, compare the plan that covers your whole roster, not the entry plan.

Profound vs Peec

Pick Profound if your client is an enterprise brand: many engines, SSO, SOC 2, prompt-volume data, content agents, and a vendor their procurement team will approve. Its value is breadth and enterprise readiness.

Pick Peec if you want most of the day-to-day analysis at a mid-market price. For agencies running normal retainers, Peec is usually the more realistic of the two. See Profound alternatives for the cost-per-client maths.

What each costs at agency scale

The entry price says little about an agency's bill. Here's the list price for 20 prompts per client at three roster sizes, from the pricing pages on 9 October 2026 (before VAT and engine add-ons):

Clients (× 20 prompts)Otterly.AIPeec AIProfound
5 (100 prompts)Standard: $189Ask for a quote — prompt tiers not shown publiclyAsk for a quote; agency workspaces reported at $399 each
15 (300 prompts)Standard + 2 × 100 prompts: $387Ask for a quoteAsk for a quote
30 (600 prompts)Premium (400) + 2 × 100 prompts: $687Ask for a quoteAsk for a quote

Two of three vendors don't publish enough to do this sum yourself, which is itself useful information when you're planning a margin. Ask each for a written quote at your real roster size, with engines and cadence stated.

Otterly vs Profound

These two barely overlap. Otterly is a monitoring tool at a monitoring price; Profound is a platform at a platform price. If you're weighing them against each other, the real question is whether you need enterprise features at all. If you don't know, you probably don't.

What none of them is built for

All three are built around a brand or account looking at its own data in a dashboard. An agency's job is different: run the same workflow for 5, 15 or 30 clients and send each one a report it understands, every month. For an agency, the friction with all three is predictable:

  • Per-client cost. Prompt pools and workspace fees scale with the roster.
  • The report. Exports and connectors exist; a finished client report with your branding usually doesn't.
  • Explaining the numbers. Visibility scores are easy to show and hard to defend when a client asks what they mean.

That's the gap Ranxii fills. It's priced per client (€49 for 5, €99 for 20, €199 for 50), asks each client's ~20 buyer questions on ChatGPT, Gemini and Perplexity every week, and turns the stored answers into a monthly report with your logo. Every number is an observed rate that opens the answers behind it. It tracks fewer engines than any of the three, weekly rather than daily, and has no API — so if those matter, choose among the three above.

How to choose in practice

  1. Count clients, prompts and engines you actually need to report on.
  2. Price each tool for that roster. The entry plan is irrelevant for an agency.
  3. Ask how the headline metric is calculated and how many answers sit behind it. Read how to measure AI visibility for the questions to ask.
  4. Look at the output you'd send. If you'd have to rebuild it in slides every month, add that time to the price.

Sources

Ranxii · AI visibility reporting for agencies

See the report your client would receive

Mention rate, change since last month, engine breakdown, competitor share of voice, missing prompts and cited sources — every number traceable to stored answers.