Peec.ai Review: Track What AI Models Really Know About Your Brand

What if you could see exactly what ChatGPT says about your brand when you’re not in the room?

That question kept me up one night, because in 2025, most people don’t realize that Large Language Models like ChatGPT, Gemini, or Perplexity are quietly shaping public perception. These models aren’t just answering questions; they’re rewriting how people discover brands. And until recently, there was no way to measure or influence that visibility.

Enter Peec.ai — a Berlin-based startup that’s raised over €7 million to build what many are calling “the Semrush of AI Search.” It’s a bold claim, but after testing the platform firsthand, I can see why. Peec.ai lets you track how often your brand is mentioned across major AI systems, from ChatGPT and Google’s AI Overviews to Claude and Gemini, revealing the hidden layer of search that’s now driven by LLMs instead of traditional keywords.

In this review, I’ll break down:

• What Peec.ai actually does (and how it collects data from LLMs)
• What its dashboard metrics mean in plain English
• How marketers can use it to measure “AI visibility” and gain a competitive edge
• And whether the pricing is justified for what it delivers

This isn’t just another tool review, it’s a look at where Answer Engine Optimization (AEO) is heading. If you’re serious about making your brand show up inside AI-generated answers (not just Google results), this might be the most important read you’ll find this year.

And if you’d rather have a team handle that strategy for you, my agency offers full AEO Optimization Services, helping brands influence how AI systems see, rank, and describe them.

🎥 Watch the Full Video Review

I also recorded a 20-minute deep dive walking through every Peec.ai feature in action, including live dashboards, data exports, and competitor tracking.

What Is Peec.ai?

A few years ago, ranking on Google was the holy grail. You’d optimize for keywords, build backlinks, and fight for those top blue links. But that game is changing fast.

Now, when someone asks “What’s the best CRM for small businesses?” or “Where can I buy custom phone skins?“…they’re not clicking through ten websites. They’re asking ChatGPT, or Gemini, or Perplexity. And those models don’t show links; they summarize, cite, and recommend.

This shift has given rise to a new discipline, Answer Engine Optimization (AEO), and its close cousin, Generative Engine Optimization (GEO). Both are about understanding how AI models decide which brands to mention and how they formulate their answers. In a world where people are no longer searching, but asking, the question becomes:

“How do I make sure AI recommends me?”

That’s exactly the problem Peec.ai set out to solve.

Built in Berlin and backed by €7 million in funding, Peec.ai positions itself as the analytics layer for this new AI-driven search era. The platform tracks how visible your brand is inside AI-generated responses, across models like ChatGPT, Google AI Overviews, Gemini, Claude, and Perplexity, and quantifies it through real metrics like citations, mentions, and sentiment.

Behind the scenes, Peec.ai works with large-scale data providers that feed them the raw output logs from these AI systems. That’s how they’re able to aggregate prompt activity, detect which brands are mentioned, and identify where those models are sourcing information.

Think of it as the bridge between traditional SEO and the new world of LLM visibility, where your ranking isn’t measured by clicks, but by influence inside the model itself.

How Peec AI Works

Peec.ai works a lot like an SEO tracker, except instead of monitoring Google rankings, it monitors how AI models talk about you.

When you first sign in, you create what’s called a Project, usually your website or brand name. This acts as the central hub for everything Peec.ai monitors. Once your project is set up, the platform starts running hundreds of AI prompts, real search-style questions people might ask inside ChatGPT, Google AI Overviews, Perplexity, Gemini, and Claude.

Each of those prompts acts like a digital sonar ping, scanning the AI landscape to see how often your brand shows up, where it’s being cited, and what kind of context surrounds it.

Peec.ai then breaks the data down into a few key categories:

• Mentions: how frequently your brand is referenced across LLM-generated answers.
• Sources: which websites or platforms AI models are pulling that information from, whether it’s your own domain, competitors, or third-party sources like Reddit or blogs.
• Competitors: other brands appearing in the same AI conversations as you, giving you a glimpse of who AI perceives as your peers.
• Sentiment and Visibility: how positively or neutrally your brand is being described, and what share of the AI-generated “conversation” you own.

And for data lovers, you can take it one step further. Peec.ai allows you to export everything as a CSV file, so you can feed it into your own analytics setup or even use a private ChatGPT to cross-analyze visibility patterns and trends.

It’s like having an SEMrush or Ahrefs dashboard, but built for the world where algorithms no longer crawl, they converse.

Dashboard Overview

Once your project is live, the Peec.ai dashboard becomes your command center, a real-time snapshot of how visible, trusted, and referenced your brand is inside the AI ecosystem.

Each section of the dashboard gives you a different layer of insight, from overall visibility, to who you’re competing against, to the exact sources AI models are drawing from when they mention your brand.

1. Visibility

This is where Peec.ai shows your brand’s share of voice inside AI models.

It displays the percentage of AI responses that mention your brand when relevant prompts are run, almost like “AI impressions.” But instead of measuring search rankings, you’re measuring how often you appear in AI-generated answers.

For example, if “Skinit” shows 76% visibility, that means it’s being referenced in roughly three out of four relevant responses across models like ChatGPT and Perplexity.

Tracking this metric over time helps you see whether your campaigns, PR pushes, or content releases are actually influencing how AI perceives and cites your brand.

2. Competitors

This section answers a surprisingly revealing question:

“Who does AI think my competitors are?”

Peec.ai identifies which brands appear in the same AI-generated answers as you, even if they aren’t traditional SEO competitors.

If ChatGPT consistently lists MightySkins and Slickwraps in the same response as Skinit, those brands are your AI-defined rivals.

This is invaluable because it doesn’t just show you who’s bidding on your keywords. It shows you who the models associate you with, based on shared topics, authority, and visibility signals across the web.

3. Sources

This is arguably the most fascinating part of Peec.ai.

Here, you can see exactly where AI models are pulling your information from. The platform categorizes sources into four key types:

• Corporate: official brand sites, press releases, product pages, company blogs.
• Editorial: online magazines, review sites, and media coverage.
• UGC (User-Generated Content): Reddit threads, Quora discussions, YouTube videos, and community posts.
• Other: smaller or unclassified data sources, such as forums or AI data aggregators.

Each domain includes two key metrics:

• Used % — how often that source is cited across AI responses.
• Avg. Citations — how many times it’s referenced in a single answer on average.

If AI is repeatedly citing Reddit or UGC, that means community chatter is shaping your brand narrative, time to invest in authentic discussion and customer-driven content. If corporate sites dominate, double down on high-authority, structured pages (FAQs, press kits, detailed product content).

4. Recent Chats

At the bottom of the dashboard, you’ll find the Recent Chats section, a log of the latest AI conversations that mentioned your brand.

Each entry shows the actual prompt, the platform (e.g., ChatGPT, Google AI, or Perplexity), and the context of your mention.

It’s like reading your brand’s transcript from the AI world, real questions, real phrasing, real visibility.

5. Prompts

If SEO has keywords, Peec.ai has prompts.

This section is where the platform really starts to feel like an AI search engine monitor. Instead of tracking how your site ranks for search keywords, Peec tracks how often your brand shows up when users ask AI-driven questions, the same kinds of prompts real people are typing into ChatGPT, Google AI Overviews, Gemini, or Perplexity.

You can add your own custom prompts or upload them in bulk. Each prompt is like a query test: “What happens when someone asks this question across multiple AI models?”

Peec then breaks down every tracked prompt into measurable metrics:

• Visibility (%): how often your brand is mentioned in AI-generated answers.
• Sentiment: the tone of how your brand is mentioned, positive, neutral, or negative.
• Position: where your brand appears in the answer list (for example, top recommendation vs. lower mention).
• Mentions: which specific AI models referenced your brand (ChatGPT, Perplexity, Gemini, etc.).
• Volume (Beta): an early metric showing how often that question is asked across AI platforms.

For example, if your tracked prompt is “Best site to design custom phone skins,” Peec.ai can tell you whether Skinit appears in ChatGPT’s answer, how it’s positioned relative to competitors like MightySkins or Slickwraps, and whether the overall sentiment around your brand is positive.

In essence, Prompts let you reverse-engineer what the world’s leading AI models think users should know about you. It’s like keyword tracking, but for the new frontier of AI search conversations.

6. Tags

Tags in Peec.ai work like smart folders for your prompts, a simple but powerful way to keep your data organized.

You can group your tracked prompts by category, such as “Gaming,” “Laptop,” or “Phone Accessories.” This lets you analyze which product lines or topics are performing best across AI models.

For example, if you’re an eCommerce brand with multiple verticals, tags help you see at a glance whether gaming-related prompts are driving more AI mentions than phone skin prompts.

It’s especially useful for agencies managing multiple clients or brands with diverse product catalogs, allowing them to filter visibility, sentiment, and source data by category without sifting through hundreds of prompts.

Think of it as campaign segmentation for the AI era, turning raw prompt data into actionable insight by topic.

Pricing — Is Peec.ai Worth It?

Let’s be honest, Peec.ai isn’t cheap. But there’s a reason for that.

Every time Peec runs your tracked prompts, it’s not just fetching results from its own database, it’s querying live across multiple LLM APIs like ChatGPT, Perplexity, Gemini, and Claude. That means real-time API calls, data aggregation from enterprise data providers, and infrastructure powerful enough to analyze thousands of AI-generated answers daily.

So yes, you’re not just paying for a dashboard. You’re paying for the pipeline that lets you see inside the AI ecosystem itself.

Pricing Breakdown (as of 2025)

Starter Workspace — €89/month (€919/year).

For startups beginning to measure their AI search visibility.

• Track up to 25 prompts
• Access to ChatGPT, Perplexity, and Google AI Overviews
• Daily prompt runs (≈ 2,250 AI answers/month)
• Access to 3 countries
• Unlimited team seats
• Email support

Pro Workspace — €199/month (€2,029/year)

Best for small-to-mid-sized companies or agencies scaling AEO efforts.

• Track up to 100 prompts
• Daily runs (≈ 9,000 AI answers/month)
• Access to 5 countries
• Unlimited seats
• Slack + Email support
• Includes export tools for advanced data analysis

This is the plan we tested, Peec granted a free 30-day trial after a 30-minute onboarding demo, giving full access to 100 prompts and complete visibility reporting.

Enterprise — €499+/month

For global brands and advanced AEO teams.

• Track 300+ prompts
• Over 27,000 AI answers analyzed per month
• Access to 10+ countries
• Dedicated account representative
• Custom integrations and API support
• Add-on access to Gemini, Claude, Llama, DeepSeek, and Grok

Payments are processed securely through Stripe, and annual plans include roughly a 15% discount compared to monthly billing.

Is It Worth The Price?

If you’re a solo creator or small business, the price may feel steep. But if you’re managing multiple brands, clients, or product lines, Peec is the first real visibility engine for AI search.

The data you get back isn’t just vanity metrics; it’s strategic insight into how LLMs perceive and cite your brand, data that traditional SEO tools like Semrush or Ahrefs can’t touch. For agencies, enterprise teams, or serious AEO practitioners, Peec.ai is worth every euro.

And if you’re exploring Answer Engine Optimization (AEO) for your own business, we offer full-stack AEO strategy and implementation services, from prompt visibility tracking to LLM-based content optimization.

Who Is Peec.ai Best For?

Peec.ai isn’t built for hobbyists, it’s built for marketers who want to play on the frontier.
This tool lives at the intersection of SEO, data intelligence, and AI infrastructure, and it rewards anyone who knows how to turn visibility into strategy.

Marketing Agencies

This is where Peec.ai truly shines. Agencies can use Pitch Workspaces to deliver AI visibility reports for clients, showing exactly how often brands appear in ChatGPT, Perplexity, or Google AI answers compared to their competitors. That means you can walk into a pitch meeting and literally show a potential client how invisible they are in AI search… and how you can fix it. Peec turns traditional SEO proposals into data-driven AEO reports, helping agencies win bigger retainers and position themselves as leaders in the next wave of search.

In-House Marketing Teams

For larger companies or funded startups with marketing departments, Peec functions like an AI awareness radar.
It helps CMOs and brand strategists understand:

• How their brand is represented inside LLMs
• Which competitors are dominating AI search
• Where their data is being pulled from (corporate, editorial, or UGC sources)

In a world where AI chat replaces Google queries, this visibility is gold. If you manage brand reputation or SEO, Peec.ai gives you a real-time lens into the AI perception of your company.

Freelancer Marketers & Consultants

If you’re a solo marketer working with high-retainer clients, Peec can help you elevate your reporting and justify your fees.
Instead of showing rankings and backlinks, you can show how your client is becoming more visible inside ChatGPT or Google AI, something no one else is doing right now.

It’s a conversation-changer that moves you from “marketing contractor” to AI strategist in your client’s eyes.

🚫 Who It’s Not For

If you’re still experimenting with SEO or running small-scale side projects, Peec might be overkill. The learning curve and cost only make sense once you’re generating real brand search demand or managing clients at scale.

In short: Peec.ai is best for those who already understand SEO, and want to evolve into the new world of AEO.

Peec.ai vs Alternatives

Tool	Entry Price (USD / Local)	Engines Covered	Prompt Tracking	Sentiment	Exports	Ideal Use Case
Peec.ai	~$95 / €89 Starter, ~$215 / €199 Pro	ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude	✅	✅	CSV / API	Agencies, in-house AEO teams
Scrunch AI	~$300 Starter	ChatGPT, Gemini, Claude, Perplexity, Google AI	✅	❌	✅ / API	Enterprises needing brand safety & language guardrails
Profound	~$499 Lite	ChatGPT, Google AI, Copilot, Gemini, Claude + more	✅	✅ / modules	Limited / API	Large brands needing full AI coverage
Vaylis	~€49 Starter	ChatGPT, Perplexity, Google AI Overviews	✅	❌	CSV / API	Startups scaling AI visibility
SE Ranking AI Tracker	Add-on to SE Ranking plans	Google AI Overviews / AI Mode, ChatGPT, Gemini	✅	❌	✅	SEO teams that want AEO integrated into existing stack
Semrush AI SEO Toolkit / AIO	$99 add-on + Semrush plan	ChatGPT, Perplexity, Google AI	✅ (limited prompts)	✅	Reports / CSV	Agencies already using Semrush
Hall	Free (lite), $239+ paid	ChatGPT, Perplexity, Claude, Gemini	✅	✅	✅	Low-to-mid size brands doing early AEO
Nimt.ai	~$79 Starter	ChatGPT, Perplexity, Google AI	✅	❌	✅	DTC / B2C brands focusing on share of voice
AthenaHQ	~$295+ Starter	ChatGPT, Perplexity, Gemini, Claude + more	✅	❌	✅ / Analytics	Data-driven teams wanting advanced AEO
Mentions.so	Entry / monthly rates	ChatGPT, Perplexity, Google AI	✅	❌	White-label / agency exports	Small agencies needing affordable dashboards

Pros & Cons of Peec.ai

Pros

1. Multi-LLM Visibility Tracking

Peec.ai monitors your brand’s presence across multiple leading models, ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and more (depending on plan). You get a broader picture of AI visibility, not just one engine.

2. Sentiment Analysis + Context

It doesn’t just tell you if your brand is mentioned, it also shows how it’s described (positive, neutral, negative). That helps with reputation, brand narrative, and damage control.

3. Source Attribution (Which Domains AI Trusts)

Peec tells you which websites or domains AI models are pulling info from when citing your brand, corporate sites, editorial, UGC, or other. That insight helps you build or reclaim citation authority.

4. Competitor Benchmarking

The competitive insights are usable: you see which brands are appearing alongside you in AI answers. This gives you a real, model-driven sense of your “AI peers.”

5. Prompt-Level Metrics

You can track each prompt (think of them as AI keywords) and see visibility %, mentions across engines, position, sentiment, etc. Granular control.

6. Data Export & API Friendly

Peec lets you export CSVs (and sometimes APIs depending on plan), so you can bring the data into your own dashboards or AI systems for deeper analysis.

7. Relatively Fallen Price Entry Point

The starting plan is more affordable than many enterprise tools, making it accessible to agencies or brands trying AEO for the first time.

8. Fast Feedback Loop

Because it queries live AI models, you don’t wait weeks for data, you can test new content or prompts and see how visibility shifts more frequently.

⚠️ Cons (Things to Watch Out For)

1. Credit-/Prompt-Limited Plans

Lower tiers restrict the number of prompts or engine coverage you can track. If you manage many topics or need broad LLM coverage, costs ramp up quickly.

2. No Built-in SEO or Content Tooling

Peec.ai focuses on visibility analytics, not content creation, keyword research, backlink tools, or on-page SEO. You’ll still need a separate SEO stack (Semrush, Ahrefs, Surfer, etc.).

3. Learning Curve for Beginners

The metrics (source attribution, sentiment scores, prompt volume) can be complex. If your team is new to AI search, it takes trial & error to interpret what moves the needle.

4. Data Latency & Variability

AI models change often, and their outputs can shift day to day. Visibility percentages might bounce. Treat the data as directional intelligence, not absolute precision.

5. Cost Grows Quickly with Scale

As your prompt count, engine coverage, and regions grow, pricing may become a barrier for mid-size brands without dedicated budgets.

6. Some Engines or Features in Beta / Add-on Only

Access to certain LLMs (e.g. upcoming models), advanced features or geographic coverage might only be available at higher tiers or as add-ons.

7. No Native Integration with Analytics (in lower tiers)

Without robust plan levels, exporting and stitching into your web analytics or marketing stack is manual. You may lose context between AI visibility and real traffic.

8. Requires Cleanup and Interpretation

The “source” list may include noisy or niche domains; you’ll need to filter “noise” vs signal. It’s a tool for insight, not a fully autopiloted solution.

How to Use Peec.ai Strategically

Peec.ai becomes far more powerful once you treat it as more than a reporting tool, it’s a roadmap for influencing how AI perceives your brand. Every metric inside the dashboard tells you something actionable about where to focus next. Here’s how to turn that data into strategy:

1. Analyze Which Sources Dominate Your Citations — Then Replicate Their Structure

If Peec.ai shows that most of your citations come from editorial or corporate domains, take note of how those pages are built. Are they structured with FAQs, product guides, or schema markup? Do they use consistent internal linking or data tables? LLMs favor well-structured, high-authority sources. Study the architecture of the top-cited domains in your report — then mirror that clarity and hierarchy in your own content.

2. Identify Missing Categories and Fill Those Gaps

The Source Type chart tells you whether AI models are pulling information from corporate, editorial, or UGC (user-generated content) platforms. If you’re underrepresented in a category, say, AI mostly cites Reddit and Quora threads but not your brand, that’s your gap. Start nurturing content in that lane: community Q&As, forum posts, YouTube discussions, and third-party articles that reference your brand in natural, user-driven contexts.

3. Use Prompt Data to Craft Content That Answers AI Queries Directly

The Prompts tab is a goldmine. Each one is a reflection of how users actually phrase their questions to AI. Review the prompts where your brand appears, and especially the ones where you don’t. Then, build pages or blog posts that explicitly answer those kinds of questions in plain language. Think of it as keyword optimization for the AI search era: you’re writing content not for Google’s crawler, but for ChatGPT’s training lens.

4. Export Data for Deeper AI Analysis

Don’t let your insights live only in Peec.ai. Export your visibility and source data as a CSV, and feed it into your internal ChatGPT or analytical agent. Ask it to find correlations, for example, “Which content types lead to higher visibility scores?” or “Which competitors are gaining sentiment faster?” This transforms Peec.ai from a static dashboard into a living feedback system, one that continuously informs how you publish, promote, and position your brand.

Final Verdict — Is Peec.ai Worth the Hype?

Peec.ai isn’t just another analytics dashboard, it’s the first real bridge between SEO and AI search. For years, marketers measured visibility through Google rankings, backlinks, and clicks. But Peec.ai brings something completely new to the table: visibility inside the language models themselves, the systems that increasingly decide what people see, believe, and buy.

Yes, it’s a premium tool. But you’re not paying for vanity metrics, you’re paying for data that no other platform currently provides. It tells you where AI models are pulling your information from, which competitors they associate you with, and how your brand sentiment is being shaped inside ChatGPT, Perplexity, and Google AI Overviews.

That’s more than monitoring, it’s strategic intelligence for the next era of digital visibility.

If your business relies on search exposure, brand authority, or thought leadership, Peec.ai gives you a genuine early-mover advantage in the new field of Answer Engine Optimization (AEO). It’s the difference between being found and being forgotten in the age of generative search.

Verdict: ⭐ 9/10…Data-rich, innovative, and several steps ahead of anything else on the market. Expensive? Yes. But for agencies and brands serious about building influence inside AI conversations, it’s absolutely worth it.