Peec AI

Peec AI is most useful when a team needs to distinguish two problems that GEO dashboards often blend together: is the brand named, and is the website actually used as a source? A brand can be mentioned without its site being trusted as evidence. A page can be retrieved or cited without the brand earning a place in the answer. Peec tracks both states and retains the underlying chats.

> Distinctive strength: Peec separates brand visibility from source retrieval and citation, creating a more actionable diagnosis than one blended visibility score. > > Where it stops being an advantage: Self-serve plans allow three selected models and limited projects/countries; sentiment and beta prompt-volume labels remain modeled classifications that require manual validation.

The purchasing question is: will Peec's fixed prompt × three-model panel help the team choose between brand/entity work and source/content work? That distinction has to survive a manual replay of the underlying answers. This review turns Peec's current documentation into that reproducible evaluation instead of crediting the dashboard with an unmeasured visibility improvement.

Peec AI in one buying decision

What does one Peec AI answer mean?

Peec defines one AI answer as one prompt result from one model. Its pricing FAQ gives the formula directly:

AI answers = prompts × selected models × days

At daily cadence and a 30-day planning month:

These are controlled observations, not users, impressions or independent searches. A single person can see a different answer because model output is stochastic and may depend on account/session context.

How much does Peec cost?

The current official product guidance and pricing comparison checked on 28 August 2026 list:

All three self-serve plans list unlimited users and daily tracking. Advanced adds multi-country support and Looker Studio in the checked comparison. Annual billing advertises a 15% saving. Terms say prices are net of applicable VAT.

Using a 30-day capacity denominator, the subscription price is roughly 2.1 cents per answer observation on Starter, 1.8 cents on Pro and 1.6 cents on Advanced. This is not a quality score. It only normalizes published capacity.

The hidden limit is not the user count

“Unlimited users” is useful, but it does not remove the project, country or model ceilings. A small agency may need five client projects before it needs 350 prompts. A global brand may need more countries before it needs more teammates. Model the operating structure first:

required configuration = brands/projects × countries × commercial intents, constrained to three models

The pricing FAQ says regions/languages do not create an extra usage charge. That does not mean every self-serve plan can attach unlimited countries to every project.

Is the brand visible, or is the site trusted?

Peec's most valuable distinction creates a two-axis decision matrix:

This matrix is more useful than “visibility went up.” It tells the team whether the next task belongs to brand/entity work, source/content work, both or neither.

What the source metrics actually mean

Peec documents:

• Retrieved: percentage of chats where a domain supplied at least one source URL.
• Retrieval rate: average number of appearances as a source per chat.
• Citation rate: average explicit citations when that domain/URL was used.

A retrieved source is not necessarily cited in visible answer text. A citation is not necessarily a positive recommendation. Preserve the raw chat and URL before converting either event into an optimization task.

Can you trust visibility, sentiment and position?

Brand visibility is the percentage of tracked answers mentioning the brand. Share of voice divides the brand's mentions by mentions of all tracked brands in the configured panel. Average position records ordering when the brand appears. Sentiment is a 0–100 classification derived from language and context.

Each denominator depends on selected prompts, competitors, models, countries and dates. Changing the panel can move the score without changing market behavior. Sentiment can also misclassify qualified criticism, negation or comparative language.

Peec labels prompt-volume estimates as beta and uses relative categories such as very low to very high. Do not convert those labels into search counts, traffic forecasts or revenue.

How should prompts be built?

Peec's documentation correctly distinguishes a conversational prompt from a keyword. A useful panel combines intent and context:

• recommendation: “Which platform fits…?”
• comparison: “A or B for…?”
• exclusion: “What should I avoid if…?”
• implementation: “How do I achieve… with these constraints?”

Avoid ten paraphrases of the same broad question. Use prompts that represent different purchase decisions. Freeze their wording before measuring change.

Suggested prompts may carry a beta volume label. Treat suggestions as candidates for editorial judgment, not demand truth. A low-volume but high-value procurement question may deserve more attention than a generic high-volume prompt.

What evidence can the buyer inspect?

The Overview exposes visibility trends, brands, sources and Recent Chats. Prompt-level views add individual history, competitors and—on ChatGPT—query fanouts. Filters include date, model, country, topic, tag and competitor.

The raw chat is the audit trail. For every material finding, retain:

1. exact prompt and country;
2. selected model;
3. response timestamp;
4. complete answer;
5. detected brands, order and sentiment;
6. retrieved/cited domains and URLs;
7. the action chosen after human review.

If the product cannot export enough of this custody for the team's workflow, the dashboard is not sufficient even when its charts look clear.

API, Looker Studio and MCP

Peec documents a Customer API authenticated with an API key, including prompt-related endpoints. Advanced lists Looker Studio. Documentation also exposes MCP tools and packaged analysis prompts such as weekly pulse, competitor radar, engine scorecard and source authority.

The retained sources did not establish one complete public plan-by-plan API quota. A buyer whose reporting depends on automated extraction should confirm endpoint coverage, pagination, request limit, historical access and deletion before selecting a tier.

An MCP-generated narrative remains downstream of the same underlying classifications. It can accelerate analysis, but it cannot upgrade a vendor metric into independently verified evidence.

Data, rights and contract boundaries

Peec AI GmbH in Berlin is the contracting provider and privacy controller. The terms restrict the service to business customers. Use for providing services to third parties requires explicit agreement unless the account operates under suitable agency terms.

The terms say customer data is not used or shared for unrelated purposes without consent and, on termination, remaining customer data is deleted or returned on request except where law requires retention. This is useful contractual language. It is not a fixed deletion clock for every raw answer, derived metric and backup.

Monthly subscriptions end after the current payment cycle. Twelve-month subscriptions require 30 days' notice for the end of the annual cycle, subject to the order. No generally applicable public SLA percentage and service-credit schedule was established.

When should you exclude Peec?

Exclude or postpone it when:

• three chosen models cannot cover the required systems;
• project or country ceilings break the real client/market structure;
• the business case needs absolute AI-search volume;
• analysts would trust sentiment or beta volume without auditing raw answers;
• API capacity or a public SLA is a hard requirement and remains undocumented;
• the team cannot act differently on a brand problem and a source problem;
• there is no stable prompt panel for before/after comparison.

Run a 30-day prompt-panel trial

1. Freeze 24 prompts: six recommendation, six comparison, six exclusion and six implementation questions.
2. Choose three models and document why each reflects the audience.
3. Run the panel daily for seven days without editing prompts or competitors.
4. Manually audit at least 100 answers for missed/false brands, order, sentiment, retrieval and citation.
5. Place every prompt in the four-state brand/source matrix.
6. Assign a distinct action to each state; reject generic recommendations.
7. Add a second country where the plan permits and confirm no hidden prompt duplication or billing change.
8. Export the evidence and reconcile row counts with the UI.
9. Test API pagination and history using a scoped key, then rotate/revoke it.
10. Connect MCP only to a non-sensitive project and inspect every exposed field.
11. Apply three actions, preserve the changed pages and re-run the same panel.
12. Reject renewal if score movement cannot be traced to raw evidence or accountable work.

Peec AI or a more technical monitor?

The replay test that should decide the purchase

Before opening the trial, list the three models and 24 prompts that represent real buying decisions. After seven days, use the four-state matrix to generate no more than three accountable actions. If the dashboard cannot produce those actions, adding prompts or upgrading the plan will mostly add observations.

Continue through the AI SEO software directory, compare lower-entry monitoring in Otterly AI, compare weighted engine economics in Rankscale, and use the forthcoming AI visibility validation guide before attributing a trend to an edit.

Our Peec AI verdict

Peec's real strength is diagnostic clarity. A named brand and a cited website are not the same outcome, and the product gives teams enough raw context to investigate that difference.

Its limits are practical rather than hidden: three models on self-serve plans, finite projects and countries, modeled sentiment and beta prompt volume. Peec deserves a trial when the team will inspect raw chats and route each problem to a different action. It is a weak purchase when the goal is merely to report a single visibility score.

Official sources

• Peec AI pricing ↗
• Peec AI official product guidance ↗
• Peec performance dashboard guide ↗
• Peec metrics overview ↗
• Peec brand-versus-source metrics ↗
• Peec prompt-design guide ↗
• Peec API authentication ↗
• Peec MCP analysis prompts ↗
• Peec terms of use ↗
• Peec privacy policy ↗

Sources checked 2026-08-28. Plans, prices, model coverage and terms can change; recheck them before publication or procurement.