Peec AI vs Otterly AI: he Real Cost, Limits, and Best AEO Tool

In this article, you’ll see how Peec AI and Otterly AI actually compare once you strip the marketing copy off both sites. You’ll get a clean comparison table, a feature-by-feature breakdown grounded in current pricing and live product behavior, and an honest look at the layer both tools leave you to figure out on your own.

A quick note before we compare

At Analyze AI, we don’t believe SEO is dead. We don’t believe AI search is replacing it either. People are searching differently, but the reason they pick a brand has not changed. Quality content still wins. The job is now to make that content work for AI models alongside Google, not to abandon one channel for another.

That belief shapes how this comparison is written. Tools that only tell you whether ChatGPT mentioned your brand are doing a fraction of the job. The full job is producing content that earns those mentions, monitoring the result, and running the back-office work in between. Keep that in mind as you read.

Peec AI vs Otterly AI at a glance

The rest of this article digs into where those rows hide friction.

What Peec AI actually is

Peec AI is a Berlin-based GEO analytics platform that launched in early 2025 and raised around $21M inside its first year. Their pitch is precision. You set up prompts, they run those prompts across your selected AI engines every day using real browser sessions instead of API calls, and you get a clean dashboard showing visibility, citations, sentiment, and competitor share of voice.

Because Peec AI scrapes the live UI of ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, the answers it captures are closer to what your buyers actually see than what an API would return. That accuracy gap is real, and it’s one reason Peec AI tends to win on data fidelity.

Where they’re strong:

• Daily tracking with regional and language splits. You can compare your share of voice across geographies and 115+ languages, which matters if you sell in multiple markets.

• Sources panel. Every prompt response shows which URLs the engine pulled from, classified by domain type (editorial, forum, owned) and page type (homepage, listicle, comparison). That breakdown tells you what to write, not just what to watch.

• Actions feature (beta). Clusters source data into Owned Media opportunities (articles, comparison pages) and Earned Media gaps (Reddit threads, editorial coverage), each scored by opportunity.

Where Peec AI quietly bills you more:

• Three engines per plan. Need all five major engines? You’re paying add-on fees of roughly $30 to $140 per extra model per month, on top of an entry price that already starts at €85.

• Looker integration sits on Advanced. If you want to pipe data into your own BI stack, you’re at €425 / month.

• The platform stops at diagnosis. It tells you which content types win citations, but you still need to write, optimize, and ship the content yourself.

What Otterly AI actually is

Otterly AI is one of the earliest tools built specifically for AI search visibility. It’s smaller, cheaper at entry, and simpler to set up. You add prompts, it monitors them across ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, and Bing AI Copilot, and it logs brand mentions, sentiment, link citations, and domain references over time.

The defining feature is speed to value. Most teams have their first dashboard reading within ten minutes. There’s a keyword research feature that suggests prompts based on a seed keyword or URL. There’s a GEO Audit that scores a page against AI-search best practices. And the Lite plan at $29 per month is one of the few real entry points in this category.

Where Otterly is strong:

• Setup time. From signup to monitored prompts in roughly five minutes.

• GEO Audit. Page-level diagnostics for on-page AI optimization, more developed than what Peec AI currently ships.

• Citation tracking granularity. Domain-level and URL-level monitoring, with weekly position changes.

Where Otterly creates friction:

• The Lite-to-Standard jump. Lite is $29 / month for 10 prompts. Standard is $189 / month for 100 prompts. That’s a 550% price increase for one tier up, and 10 prompts barely covers a single brand’s tracked queries.

• Two engines cost extra. Google AI Mode and Gemini are add-ons on top of the base price for most plans.

• No competitive depth. Brand-level share of voice exists, but the strategic mapping Peec AI does is missing.

• No content production layer. Same gap as Peec AI. You see the problem, you fix it on your own time.

Head-to-head: where each one wins

Prompt tracking and visibility

Both tools track prompts daily and report visibility percentages over time. Peec AI’s edge is the granularity of the breakdown. You can filter by engine, geography, language, and prompt cluster, and the daily data is captured through live browser sessions for higher fidelity. Otterly is simpler, faster to configure, and reports the same core metrics with less ceremony.

If your team has the time to interpret data, Peec AI gives you more to work with. If your team needs a dashboard you can show in a Monday standup without explanation, Otterly wins.

Winner: Peec AI on depth. Otterly on speed.

Citation and source analysis

Peec AI’s sources view classifies citations by domain type and page type, which makes it actionable. You can see, for example, that Reddit threads cite competitors but never you, and that’s a content brief you can write tomorrow. Otterly tracks the same surface area (domains, URLs, position changes) but with less classification overhead. If you want to detect when an AI engine hallucinates a fact about your brand, Otterly’s flagging is more direct.

Winner: Peec AI on actionable depth. Otterly on brand-safety alerts.

Competitive benchmarking

Peec AI was built around competitive intelligence. Regional benchmarking, share of voice splits, prompt-by-prompt displacement, and competitor sources are core to the product. Otterly includes brand-level competitive views but stops short of the strategic mapping a multi-market team needs.

Winner: Peec AI, clearly.

Setup time and usability

Otterly’s onboarding is the cleanest in the category. Paste prompts, pick engines, and you’re done. Peec AI takes longer because the surface area is larger. You’re not just monitoring, you’re configuring a research workflow.

Winner: Otterly.

On-page optimization recommendations

Both tools have edged into the “what should I fix” space. Otterly’s GEO Audit is more mature, scoring a page against AI search best practices and surfacing specific issues. Peec AI’s Actions feature is newer and more focused on which kind of source to chase (an editorial mention, a listicle inclusion) than on rewriting a page.

Winner: Otterly on page-level audits. Peec AI on source strategy.

Pricing structure

Peec AI starts at €85 / month and scales by tracked prompt volume and team access, with add-on costs for each extra engine. Otterly starts at $29 / month but has a steep jump to Standard at $189. Neither structure is wrong, but both have moments where the cost stops being predictable.

Winner: Depends on volume. Solo marketers tracking 10 prompts will spend less on Otterly. Anyone tracking 50+ prompts across all major engines will find Peec AI more linear.

The gap both tools leave open

Here’s the part neither sales page wants to surface.

A visibility tool tells you what’s happening. It doesn’t ship work. After your dashboard shows that competitors win the “best [your category] tool” prompt in ChatGPT, you still have to write the comparison article, optimize an existing page, get cited in a third-party listicle, and rerun the analysis to see if any of it moved the needle.

That’s three or four jobs, none of which Peec AI or Otterly AI does for you. Most teams who buy a visibility tool end up with the same stack a few months later:

• The visibility tool (Peec AI or Otterly AI)

• A content writing tool or freelancer

• A content optimization tool (NeuronWriter, Surfer, Rankability)

• A workflow tool (Zapier, n8n, an analyst on Mondays)

• A reporting tool (Looker, Sheets, an agency)

That’s four to five subscriptions, four to five logins, and a permanent integration project nobody actually finishes. The visibility number you started tracking gets buried under operational tax.

This is the gap Analyze AI was built to close.

How Analyze AI closes that gap

Analyze AI is an agentic SEO and content platform. The visibility tracking that Peec AI and Otterly AI both ship is a baseline feature, not the product. The product is what sits on top of that baseline. Three layers in particular change the math.

Layer 1: A real content production pipeline

Most “AI content” tools are one-shot generators. Type a topic, get a draft, edit forever. The Analyze AI Content Writer breaks the work into the steps a senior writer actually follows. Research first. Then an outline you can edit. Then the draft.

You start with an idea. The writer runs research across the live web and your tracked prompts, then proposes an outline you can edit before it generates the draft. Each step is reviewable. The result reads like a brief turned into a draft, not a generic blog post. That’s the difference between AI content that converts and AI content that gets paraphrased onto your site to die.

For competitive comparison articles like this one, the writer pulls in your Brand Vault rules (tone, required phrases, disallowed phrases) so the output matches your voice before a human touches it.

Layer 2: An optimizer that audits what you already published

The Content Optimizer fetches a URL, audits it against AI search criteria, and proposes specific rewrites. Not “make this more engaging” generalities. Actual gap-based suggestions tied to the prompts you’re tracking.

If your dashboard shows you’re losing a prompt to a competitor, the optimizer can pull the page that should be ranking, compare it to what the engines are citing, and rewrite the gaps. The Otterly GEO Audit tells you a page has issues. The Analyze AI Optimizer fixes them.

Layer 3: An agent builder that runs the work nobody has time for

This is where Analyze AI stops being a competitor to Peec AI or Otterly AI and starts being a different category of tool.

The agent builder gives you 180+ nodes wired to the data you already have: GA4, Google Search Console, DataForSEO, Semrush, HubSpot, Notion, WordPress, Mailchimp, your AI visibility data, your Brand Vault. You connect those nodes into workflows. Workflows fire on a schedule, on a webhook, or on demand.

A few examples of what teams actually run on it:

• For CMOs. Schedule a Monday board prep agent at 7am. It pulls executive one-pager data, GA4 metrics, AI visibility delta vs last week, new HubSpot deals, drafts the summary in your brand voice, exports a DOCX, and emails leadership. The 4-hour analyst chase becomes a calendar event.

• For agencies. One agent loops over your client list every Monday and ships a per-client briefing pack with your letterhead. Reporting day stops existing.

• For content teams. A webhook-triggered brief-to-publish pipeline runs research, outline, draft, and an AI-readiness score before publishing to WordPress. If the score is below threshold, the agent Slacks the writer with the gaps. No piece publishes without passing the gate.

• For PR teams. A webhook fires when negative coverage hits your media monitoring tool. The agent researches the journalist, drafts three response options, and Slacks the crisis team while the client is still finding out.

You can build this on Zapier or n8n. You’d spend a quarter wiring up the integrations the agent builder already ships. And Zapier doesn’t know your AI visibility data, your competitor landscape, or your brand voice without you teaching it.

And yes, the baseline GEO tracking

You still get everything Peec AI and Otterly AI ship. That means daily prompt tracking, citation analytics, competitor share of voice, perception mapping, engine breakdowns, and AI traffic analytics that ties AI visibility back to sessions and conversions.

Plus a Sources view that maps which URLs every model cites for your tracked prompts and which competitor URLs are eating your share of voice.

Pricing that doesn’t punish growth

Analyze AI pricing is flat. You don’t pay add-ons per engine. You don’t jump 550% between tiers. You don’t lose features at lower price points. The same product that runs your CMO’s Monday board prep also tracks the prompts your buyers actually use.

How to pick

If you’ve made it this far, you probably already know which side of the trade-off you’re on.

• Choose Otterly AI if you’re a solo marketer or a small team that needs a dashboard reading within an hour, you’re tracking under 10 prompts, and you don’t need competitive depth.

• Choose Peec AI if you sell across multiple markets, need regional benchmarking, want the cleanest source-level data in the category, and you have a separate team or stack handling content production.

• Choose Analyze AI if you’d rather not run a five-tool stack to do one job. If the work after the dashboard reading matters more than the dashboard itself. If you’d like the agent that watches your visibility to also draft the brief that fixes it.

The honest version is this: Peec AI and Otterly AI are good at what they do, which is observation. The work that turns observation into business outcomes lives outside their scope.

That work is the product at Analyze AI.

A final word on AI search and SEO

Every vendor in this category wants you to believe the old playbook is over. It isn’t. People are searching differently, but they’re still choosing brands the same way. Through content that’s clear, original, and useful. The job is to make that content work for AI models in addition to Google, not instead of it. You can read our full position in the Analyze AI manifesto on the homepage.

If you want to see what the agentic version of this work looks like in your account, you can start with the live demo or run a free AI Visibility Audit against your own domain first. Either way, you’ll have a clearer picture of where you stand than another month of comparison tabs will give you.