# What Does Peec AI Actually Track?
> Peec AI includes three AI engines on every self-serve tier, out of six on offer. Here is what the three you drop would have told you, and what they cost.

Canonical URL: https://cite.solutions/blog/peec-ai-what-it-tracks
Source: Cite Solutions (cite.solutions)
Published: 2026-08-03
---

[AI Visibility](/category/ai-visibility)12 min read

# What Does Peec AI Actually Track?

[Subia PeerzadaFounder, Cite Solutions · August 3, 2026](https://www.linkedin.com/in/subia-peerzada-75025764/)

Key takeaways

## Key takeaways for AEO optimization

Treat AEO as a measurement system, not a one-off publishing sprint.

1. 01Track prompt clusters that sit close to revenue, not vanity questions.
2. 02Compare your brand against competitors by source type, recommendation presence, and page type, not just mentions.
3. 03Turn every gap into a concrete content, PR, or technical fix with a weekly review cadence.

Almost every Peec AI review on the internet is published by a company selling a competing tracker. That is not a scandal, it is just where the incentive sits, and it explains why they all end in the same place.

We do not sell a tracker. We run the measurement and the work behind it for clients, which means the only thing we care about is whether the number on your dashboard can carry the decision you are about to make with it.

For Peec, that comes down to one line on the plan page that most reviews mention and none of them price.

Engine coverage on a self-serve plan

Every self-serve tier tracks three of six engines. Which three is the purchase.

Peec publishes six mainstream models on its self-serve plans. The included count stays at three from the entry tier through the top one, so the money question is not how much you pay, it is which half of the surface you agree to stop watching.

ChatGPT

in the 3

Default pick on nearly every account

Perplexity

in the 3

Highest attribution rate of the six

Google AI Overviews

in the 3

Widest reach, lowest citation depth

Google AI Mode

paid add-on

Shares 13.7% of its citations with AI Overviews

Gemini

paid add-on

Lowest citation rate we measured, at 79.1%

Microsoft Copilot

paid add-on

Cites a social source once in 29 answers

What a fourth engine costs, by tier

Starter · $95/mo

+$35 per extra model

Pro · $245/mo

+$85 per extra model

Advanced · $495/mo

+$165 per extra model

Published third-party reviews do not agree on these figures. One puts the entry tier at €89 with 25 prompts, another at $95 with 50\. Confirm both numbers on a call before you model the cost.

Why the three you drop are not a rounding error

13.7%

citation overlap between Google AI Overviews and AI Mode

730,000 paired responses, Ahrefs, 2026

1 in 4 vs 1 in 29

how often AI Overviews and Copilot cite a social source

11.84 billion citations, Profound, July 30 2026

97.4% vs 79.1%

citation rate on Google AI Mode against Gemini

90,132 answers, our CITE Index study, May 19 to July 21 2026

Sources: Peec published plan pages, August 2026 · Ahrefs AI Overviews versus AI Mode citation study · Profound, Where do AI citations come from, July 30 2026 · Cite Solutions CITE Index, 90,132 answers. Add-on prices as reported by third-party reviews, which disagree.

## What does Peec AI actually track?

Peec AI tracks how often your brand appears in AI answers, which sources those answers cite, and how you compare with competitors. It runs your prompt set daily against three AI engines that you choose from six on every self-serve plan. It reports the three surfaces you picked, not the surface your buyers used.

That last sentence is the whole post.

> Peec is not selling you coverage. It is selling you a choice of three.

## The engine cap is the purchase, not the price

Peec's [published plan page](https://peec.ai/pricing) lists six mainstream models: ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini. Tracking runs daily on all tiers, and seats are unlimited.

The included engine count is three. It stays three from the entry tier to the top self-serve tier. Paying more buys prompts and projects, not surfaces.

### Every tier gives you the same three engines, so the tier ladder does not fix coverage

Moving up the ladder raises the prompt allowance and the project count. It does not raise the number of engines included.

According to [FixAEO's teardown of the plans](https://fixaeo.com/blogs/peec-ai-review/), Starter runs $95 a month with 50 prompts and one project, Pro runs $245 with 150 prompts and two projects, and Advanced runs $495 with 350 prompts and five projects. All three include three models.

### A fourth engine is priced as an upgrade to the plan you are already on

Extra models are add-ons, and the add-on price scales with your tier rather than with the engine. FixAEO reports $35 per extra model on Starter, $85 on Pro, and $165 on Advanced.

Watching five of the six engines on Pro therefore costs $415 a month, not $245\. That is a different budget conversation than the one the pricing page starts.

### Published reviews do not agree on Peec's own numbers, which is worth knowing before a call

FixAEO reports $95, $245, and $495 with 50, 150, and 350 prompts. [WorkDuo's pricing breakdown](https://www.workduo.ai/blog/peec-ai-pricing) reports €89, €199, and €499 with 25, 100, and 300 prompts.

Both cannot be current. Take neither into a modelling spreadsheet without confirming it against a live quote, and treat any review that states one figure without the other as untested.

**What a plan comparison asks:**

* •How many prompts do I get?
* •How many projects and seats?
* •What does the next tier cost?
* •Which engines are on the list?

**What an engine-choice audit asks:**

* •Which three engines do my buyers actually use?
* •How different are the other three from the ones I picked?
* •What decision would I make differently if I could see all six?
* •What does the cheapest fourth engine cost me per month?

Every review answers the first list. The second list is the one that decides whether the subscription works.

## 6 things a three-engine setup cannot tell you

None of these are Peec flaws. Each one follows from choosing half a market and reporting the result as a brand's AI visibility.

### Blind spot #1: Whether the two Google surfaces agree about you

Google AI Overviews and Google AI Mode are separate answers on separate surfaces. Ahrefs analyzed 730,000 paired responses and found [only 13.7% citation overlap between the two](https://ahrefs.com/blog/ai-overviews-vs-ai-mode), while the answers reached 86% semantic similarity.

They say close to the same thing by reading different pages. Tracking one and calling it Google is a category error, and Peec makes you choose between them unless you pay for both.

### Blind spot #2: Where your earned coverage is actually working

Engines weigh source types differently, and the spread is not small. Profound's analysis of [11.84 billion citations across eight models](https://www.tryprofound.com/blog/where-do-ai-citations-come-from), collected between April 16 and July 16, 2026, found Google AI Overviews cites a social source roughly once every four answers and Copilot once every 29.

If your Reddit and community work is paying off, an AI Overviews slot will show it and a Copilot slot will barely register it. Drop the wrong engine and a working program reads as a flat one.

### Blind spot #3: How much of your absence is the engine rather than you

Engines cite at different rates before your brand enters the picture. Our concluded [CITE Index study](/ai-search-statistics) of 90,132 AI answers found Google AI Mode cited a source in 97.4% of answers, ChatGPT in 92.5%, and Gemini in 79.1%.

A brand tracked on Gemini starts with roughly one answer in five that cites nobody. That is a property of the surface, and it will look like a visibility problem on a chart that does not break it out.

### Blind spot #4: Whether your enterprise buyers can see you at all

Copilot sits inside Microsoft 365, which means it reaches buyers during the working day without them opening a browser tab. It is one of the six, and it is one of the three most teams drop because it looks smaller than ChatGPT.

Smaller by query volume is not smaller by deal influence. In B2B, the engine embedded in the procurement team's software is not the one to economize on.

### Blind spot #5: What the engines outside the self-serve list are doing

Claude, DeepSeek, Qwen, and Mistral are Enterprise-only on Peec, and Grok is not offered on any tier. For most brands that is fine. For anyone selling to developer or research audiences, Claude's absence from the self-serve product is the constraint that decides the vendor.

We covered the same problem from the buyer's side in [how AI engines pick the same brands from different sources](/blog/ai-engines-same-brands-different-sources).

### Blind spot #6: Whether last week's movement was real

Peec refreshes daily, which is genuinely useful and also generates a lot of arrows. Across 63 days and 90,132 answers, we found the category leader flipped on only 18.7% of day pairs, and in four of ten categories the leader never changed once. The full corpus is in the [final report](/state-of-ai-india/final-report).

Daily data does not come with a threshold for what counts as news. You have to supply that yourself, and almost nobody does.

> A daily refresh is a higher sampling rate, not a lower noise floor.

### Find out which three engines your buyers actually use before you pick them

We run your buyer prompts across every major AI engine, report which surfaces carry your category, and tell you which three are worth paying a tracker to watch. First findings inside 14 days.

[Book a Discovery Call](/contact)

## Peec's published research may be worth more to you than the tier you are choosing

This is the part no competing review will tell you, because it does not lead anywhere they can sell.

Peec runs one of the larger research operations in the category and publishes the output for free. Its [study of nearly 200,000 AI responses across eight engines](https://peec.ai/blog/the-listicle-rank-effect-what-nearly-200-000-ai-responses-across-8-ai-engines-reveal-about-brand-visibility) found that holding position one inside a frequently cited listicle is worth a 16.5 percentage-point visibility lift in B2B SaaS. Not appearing in the listicle. Holding the top slot in it.

Its [analysis of five million ChatGPT query fanouts](https://peec.ai/blog/patterns-we-see-in-chatgpt-query-fanouts), collected between April 1 and April 21, 2026, showed which words the model injects into its own hidden searches: best, top, comparison, reviews, tools, software, features.

Both of those change what you build next week. Neither requires a subscription.

Peec is also a real company rather than a wrapper, which matters for a tool you are trusting with a year of trend data. [TechCrunch reported](https://techcrunch.com/2026/05/23/peec-one-of-berlins-rising-startups-more-than-doubled-annualized-revenue-in-months-to-10m-sources-say/) that the Berlin-based firm more than doubled annualized revenue from $4 million in November 2025 to over $10 million by May 2026.

> Read the vendor's research before you read its pricing page. One of the two is trying to teach you something.

## How to choose your three engines

The diagnostic half is done. Here is the sequence we run with clients before they commit to any tracker, Peec included.

### Step 1: Write down the decision the dashboard has to carry

Name one decision, in one sentence, that you will make differently based on what the tool reports. "Whether to fund review acquisition next quarter" is a decision. "Understanding our AI visibility" is not.

If no engine choice changes that decision, you do not have an engine problem, you have a scope problem.

### Step 2: Ask 20 real buyers which assistant they used

Not a survey about AI. A question in your next 20 sales calls: which assistant did you have open while you were shortlisting. Log the answers for a month.

This costs nothing and it beats every market-share chart, because it samples your buyers rather than the internet's.

### Step 3: Run your ten highest-intent prompts on all six engines by hand

Before you pay for any of them, open all six and run the same ten prompts your buyers ask at the shortlist stage. Record where you appear, which competitors appear instead, and which domains each engine cited.

Two hours of manual work will tell you which three engines carry your category. No dashboard replaces that first pass.

### Step 4: Price the fourth engine into the decision from day one

Take the cheapest tier that clears your prompt count, add the per-model fee for every engine your step 3 run says matters, and compare that total against the field. On Pro, four engines is $330 and five is $415.

Compare like for like. Most published comparisons put Peec's headline price against a rival's all-engines price, which flatters one of them.

### Step 5: Set the movement threshold before the first report

Decide now what size of change you will act on, and write it into the reporting template. Our data suggests a leader change on a single day pair is not that threshold in most categories.

Without a threshold, a daily-refresh tool generates a weekly meeting about resampling. With one, it generates four decisions a year.

## When Peec AI is the right buy, and when it is not

We recommend Peec regularly. Fit is more useful to you than a verdict.

| Situation                                                          | Verdict                            | Why                                                                                                                |
| ------------------------------------------------------------------ | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------ |
| Your buyers cluster on ChatGPT, Perplexity, and one Google surface | Strong fit                         | The three included engines are the three that matter, and daily refresh with unlimited seats is good value at $95. |
| Agency or in-house team running several brands                     | Strong fit                         | Prompts are shared across projects and seats are unlimited, so the per-brand cost falls as you add brands.         |
| You sell to developers or researchers                              | Check Enterprise first             | Claude is Enterprise-only and Grok is not offered, so the self-serve product may not see your buyers.              |
| You need both Google surfaces plus Copilot                         | Price the add-ons before comparing | Five engines on Pro is $415 a month, which puts Peec into a different bracket of the market.                       |
| Nobody has been named as the weekly owner                          | Wrong purchase entirely            | Daily data with no owner is a tab nobody opens. The measurement was never the bottleneck.                          |

If you are still shortlisting, our [AI visibility platform buyer's guide](/blog/ai-visibility-platform-buyers-guide) covers the six jobs any serious platform should do, [how to choose AI visibility tools](/blog/ai-visibility-tools-how-to-choose) covers the lighter end of the market, and our [survey of the GEO tooling field for 2026](/blog/geo-tools-the-complete-landscape-for-2026) maps the rest.

For the other side of the sampling question, our breakdown of [what Profound AI actually measures](/blog/profound-ai-what-it-measures) works through how many answers a score needs before it means anything. Peec's constraint is which engines. Profound's is how deep.

## FAQ

### What is Peec AI?

Peec AI is a Berlin-based AI search visibility platform that tracks how often a brand appears in answers from AI engines, which sources those answers cite, and how the brand compares with competitors. It runs your prompt set daily against three engines chosen from ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini. It also publishes large-scale public research on AI citation behavior.

### How much does Peec AI cost?

Peec publishes three self-serve tiers and one quoted Enterprise tier, with roughly 15% off for annual billing and no free plan. Third-party reviews report Starter at $95 a month for 50 prompts, Pro at $245 for 150 prompts, and Advanced at $495 for 350 prompts, each including three engines. Extra engines are add-ons priced by tier, reported at $35, $85, and $165 per model. Published figures differ between reviews, so confirm on a call.

### How does Peec AI work?

You enter your brand, competitors, and a set of buyer prompts, and Peec runs those prompts against your three chosen engines on a daily interval. It records whether your brand was mentioned, its position in the answer, the sentiment of the mention, and every domain the engine cited. The dashboard then reports visibility share, competitor comparison, and a source list you can use as an off-page target map.

### Peec AI vs Profound: which one should you buy?

They constrain different things. Peec caps engine coverage at three on self-serve and gives you daily refresh with unlimited seats, so its risk is a blind surface. Profound sells deeper prompt volume and up to nine engines at the quoted tier, so its risk is thin sampling per prompt. Pick Peec if your buyers cluster on three engines and you need many seats. Pick Profound if engine breadth or prompt-volume data decides your reporting.

### What are the best Peec AI alternatives?

The named alternatives in this category include Profound, Scrunch AI, Otterly, Evertune, Semrush AI Visibility, and Ahrefs Brand Radar. Compare them on total cost for the engines you actually need rather than on headline price, because engine gating and per-model add-ons move the real figure by a wide margin. Then compare on answers per prompt, which determines whether any of the numbers can be trusted.

## The bottom line

Peec is a well-built product from a company that publishes better research than most of its competitors and charges less than the enterprise end of the market. None of that is the reason to be careful.

The reason to be careful is that the plan page invites you to pick three engines in about four seconds, and that choice determines everything the tool will ever be able to tell you. Make it after the manual run in step 3, not before.

Then go and do the work the dashboard points at. A tracker will not write the answer block, fix the passage the model could not extract, or earn the third-party mention that puts you in the source pool. That gap is why the [managed GEO agency](/geo-agency) model exists next to the tools, and an [AI visibility audit](/ai-visibility-audit) will show you where your gap sits before you sign for a year of anything.

### Buy the right three engines, then fix what the dashboard finds

Cite Solutions maps which AI surfaces carry your category, measures your citation share across all of them, and runs the content and off-page work that moves the number.

[Book a Discovery Call](/contact)

Tags

[GEO](/tag/geo)[AEO](/tag/aeo)[AI visibility](/tag/ai-visibility)[AI citations](/tag/ai-citations)[ai search optimization](/tag/ai-search-optimization)[b2b ai visibility](/tag/b2b-ai-visibility)[AI search](/tag/ai-search)[geo strategy](/tag/geo-strategy)

## Continue the brief

[01StrategyIs GEO Real Enough to Budget For in 2026?Peec AI hit $10M ARR. Profound raised $96M. Adobe paid $1.9B for Semrush. The GEO category is now a fundable B2B SaaS budget line.May 27, 2026Read→](/blog/geo-budget-line-2026-funding)[02AI VisibilityWhat Does Profound AI Actually Measure?Profound AI tracks your brand across nine AI engines. Here is what each pricing tier buys you in sample size, and where the numbers stop meaning much.Jul 29, 2026Read→](/blog/profound-ai-what-it-measures)[03AI VisibilityWhat Is an AI Visibility Platform? (2026 Guide)An AI visibility platform tracks whether ChatGPT, Gemini, and Perplexity cite your brand. Here is what one does, who needs it, and how to pick.Jul 1, 2026Read→](/blog/ai-visibility-platform-buyers-guide)

[FrameworkLearn the CITE framework behind our GEO and AEO workSee how Comprehend, Influence, Track, and Evolve turn AI visibility into an operating system.](/framework)[ServicesExplore our managed GEO services and AEO execution modelAudit, prompt discovery, content execution, and ongoing monitoring tied to AI search outcomes.](/services)[AuditStart with an AI visibility audit before executionUnderstand prompt coverage, recommendation gaps, source mix, and where competitors are winning.](/ai-visibility-audit)

On this page

On this page

## Work with us on this

[Platform ComparisonsProfound, AthenaHQ, Otterly compared, and where tool-agnostic managed wins.Explore→](/compare)[GEO AgencyManaged generative engine optimization for B2B brands.Explore→](/geo-agency)[AEO ServicesAnswer engine optimization: be the answer AI quotes.Explore→](/aeo-services)

## Ready to become the answer AI gives?

Book a 30-minute discovery call. We'll show you what AI says about your brand today. No pitch. Just data.

[Book a Discovery Call](/contact)
