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Peec AI

AI search analytics for tracking visibility, position, sentiment, and citations

#ai-visibility#prompt-tracking#competitor-analysis#reporting#mcp
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Overview

Peec AI is an AI search analytics platform for marketing teams, SEO teams, and agencies. It measures how brands appear in AI-generated answers using visibility, position, sentiment, citation, and competitor metrics.

Peec is intentionally focused on making AI-search data understandable. Instead of presenting only raw answer snapshots, it organizes prompts, models, sources, brands, and trends into dashboards that teams can use for recurring reporting and optimization.

  • Best for: SEO teams, content marketers, agencies, and brands that want a focused AI visibility analytics workflow.
  • Pricing: The current official pricing page exposes 50/150/350 prompts, three selected models, daily tracking, 1/2/5 projects, and additional product modules, but its extracted plan cards did not return numeric prices. A dated August 2026 independent review reports Starter at €70/month on annual billing (roughly €82 monthly); confirm the live checkout quote.
  • Product type: AI search analytics SaaS with monitoring, source analysis, recommendations, AI-shopping, crawler, referral, and agent features
  • Primary strength: Clear dashboards for prompt-level visibility and competitor comparison
  • Primary limitation: Prompt and project limits increase quickly across paid tiers, while broader model coverage, API, SSO, and custom tracking are Enterprise features; the current pricing page does not expose numeric plan prices in the checked extraction.

Quick facts

Fact Details
Main use case Track how brands appear in AI search
Core metrics Visibility, position, sentiment, citations, sources
Starter €70/month annual billing reported by GenerateMore; roughly €82 monthly; verify current billing
Pro €180/month annual billing reported by GenerateMore; roughly €212 monthly; verify current billing
Advanced €360/month annual billing reported by GenerateMore; roughly €420 monthly; verify current billing
Enterprise Custom
Starter prompts 50
Pro prompts 150
Advanced prompts 350
Tracking Daily on public plans
Models Choose 3 from six core models on public plans; Enterprise adds API-tracked models and up to 12 LLM models
Projects 1 Starter, 2 Pro, 5 Advanced, unlimited Enterprise
Monthly AI answers 4,500 Starter, 13,500 Pro, 31,500 Advanced; Enterprise custom
AI shopping Product-catalog upload and SKU-level tracking are listed in the current feature matrix; verify plan entitlement
Crawl/referral data Crawlability audit, crawl insights, and AI referrals are listed in the current feature matrix; verify integrations and retention
Users Unlimited on listed brand plans
Reporting CSV exports; Looker Studio/Data Studio connector on Advanced; API on Enterprise
Integrations MCP is advertised; API/SSO are Enterprise features; CDN/log-provider and analytics integrations are listed in the current matrix
Last reviewed September 7, 2026

Editor’s verdict

Peec AI is a practical choice for teams that want to answer a simple but increasingly important question: “How does AI describe and recommend our brand?” Its dashboards combine visibility, position, sentiment, prompts, models, citations, and competitors without trying to become a full content-production suite.

The product is strongest when used as a measurement and reporting layer. Teams can create a set of customer prompts, select the models that matter, compare brands, identify frequently cited sources, and turn the findings into content or digital-PR actions.

The main tradeoff is scale. Starter provides 50 prompts and one project, which is enough for a pilot but may not cover several products, markets, and competitors. Advanced adds 350 prompts, five projects, multi-country support, and Looker Studio, while Enterprise is needed for custom models, unlimited projects, API access, SSO, and up to 11 LLM models.

Bottom line: Peec AI is a good fit for analytics-led GEO programs and agencies that value simple reporting. Buyers needing deep enterprise workflows, extensive content execution, or infrastructure-level crawler analytics should compare it with Profound, Writesonic, or a dedicated enterprise platform.

Who should use Peec AI?

Best for

  • SEO and content managers establishing an AI-search baseline
  • SaaS brands tracking category and product prompts
  • Agencies preparing recurring client reports
  • Teams that need competitor visibility and citation analysis
  • Marketers who want dashboards rather than manual answer checks
  • Organizations that want MCP access for internal AI workflows
  • Teams that need multi-country tracking on Advanced or Enterprise

Not ideal for

  • Teams needing unlimited prompts on a low-cost plan
  • Buyers requiring every major model in the base tier
  • Enterprises needing custom data warehouses and governance immediately
  • Teams looking for AI content generation and CMS publishing in the same product
  • New websites with little existing brand or category demand
  • Buyers expecting visibility metrics to directly prove traffic or revenue

What does Peec AI do?

Peec is built around a recurring workflow:

  1. Add a brand and competing brands.
  2. Create or accept suggested prompts.
  3. Choose the AI models to track.
  4. Run prompts on a daily schedule.
  5. Measure visibility, position, sentiment, and citations.
  6. Inspect the sources shaping answers.
  7. Apply recommendations through content, PR, or community work.
  8. Export the results for a team or client report.

This makes Peec closer to an AI search measurement and insight platform than a content optimizer.

Core features

1. Prompt tracking

Prompts are the foundation of a Peec project. Teams can add customer questions, comparison queries, category searches, and product-intent prompts, then organize them with tags.

A useful prompt set should include:

  • Problem-based questions
  • Category and “best” queries
  • Product comparisons
  • Brand and product questions
  • Alternatives and competitor searches
  • Commercial and purchase-intent prompts

Peec also advertises AI-suggested prompts and search-volume signals. These can help expand a monitoring set, but suggestions should be filtered for business relevance before they are counted as KPIs.

2. Visibility, position, and sentiment

Peec highlights three core metrics:

  • Visibility: how often a brand appears in tracked AI conversations.
  • Position: where the brand appears relative to competitors.
  • Sentiment: how positively or negatively AI describes the brand.

These metrics are useful together. Visibility without position can hide a weak recommendation rank, while position without sentiment can hide inaccurate or negative descriptions.

None of them should be treated as a universal ranking. AI answers vary by model, prompt, location, date, and response generation.

3. Models and countries

Peec lets users select models during onboarding and track the same prompt set across those models. Public plans include three chosen models; Enterprise advertises access to all available models and up to 11 LLM models.

Advanced adds multi-country support. Enterprise offers custom coverage. This is important for international brands because AI results can vary substantially by country, language, and local competitor set.

4. Sources and citation analysis

Peec shows the sources that appear in AI answers and helps teams identify where competitors receive citations. The source view can reveal:

  • Review sites that influence a category
  • Publisher and editorial domains
  • Reddit and community discussions
  • Competitor pages
  • Product directories
  • Your own pages and missing citations

A practical citation-gap workflow is:

Find prompts where a competitor is cited
→ inspect the cited source
→ classify the source and its evidence
→ compare your own page or reputation coverage
→ choose content, PR, review, or community action

Citation data is a research signal, not a guarantee that obtaining a link will change an AI answer.

5. Competitor benchmarking

Peec allows teams to add brands that matter in their market and compare them across the same prompts and models. This makes it easier to distinguish a general market decline from a brand-specific problem.

Useful comparisons include:

  • Share of conversations where each brand appears
  • Average position
  • Sentiment differences
  • Sources citing competitors
  • Prompts where competitors appear without you
  • Changes after a content or PR campaign

6. Recommendations

Peec can surface actions based on recurring sources and visibility gaps. Examples include improving review coverage, participating in relevant communities, or pursuing digital PR where editorial sources frequently appear.

Recommendations should be prioritized by business value. A frequently cited source is not automatically an appropriate target, and a prompt gap may be better solved by improving product documentation than by producing another blog post.

7. Reporting and integrations

Peec is designed for team and client reporting. Public pricing lists exports, while Advanced includes Looker Studio integration. Enterprise adds API access and SSO.

Peec also advertises an MCP integration for connecting visibility data with Claude, Cursor, n8n, and other compatible tools. This can support internal analysis and automated reporting, subject to plan and access rules.

8. AI shopping, crawler, and referral reporting

The current pricing matrix expands Peec beyond brand-prompt monitoring. It lists product-catalog uploads from Shopify or CSV/Google Merchant Center, SKU-level visibility and win-rate tracking, shopping query fanouts, and shopping-source visibility. For technical and outcome analysis, it also lists a crawlability audit covering 40+ AI bots, crawl insights showing which bots hit which pages, AI referrals, visibility-lift analysis, and automated reporting.

These are important changes in product scope, but the extracted matrix does not fully explain plan gating, data retention, attribution methodology, or which CDN/log integrations are required. Treat them as current vendor-documented capabilities rather than proof of traffic, revenue, or causal visibility lift. Buyers should confirm the exact package, data sources, and historical retention before relying on these modules.

9. Peec agent

Peec’s current pricing page lists a Peec agent with company and project context, user memory, pre-built skills, and custom skills. The page also lists agent actions generated from visibility data. This suggests a move toward querying and operationalizing Peec data through an assistant, but it does not independently establish answer quality, automation safety, or business outcomes. Keep human review around recommendations and any actions that change public content or outreach.

Plans and pricing

The official Peec pricing page checked on September 7, 2026 confirmed the plan structure and limits below, but its rendered extraction did not expose numeric prices. The numeric figures are therefore reported separately from the official limits: GenerateMore’s independent review, checked in this research pass, reports €70/€180/€360 per month on annual billing and roughly €82/€212/€420 on monthly billing. Treat those figures as a dated secondary source, not as a substitute for a live vendor quote.

Plan Annual-billing price Prompts Projects Best for
Starter €70/month annual billing reported by GenerateMore; roughly €82 monthly; verify current billing 50 1 Initial AI-search pilot
Pro €180/month annual billing reported by GenerateMore; roughly €212 monthly; verify current billing 150 2 SEO teams needing deeper tracking
Advanced €360/month annual billing reported by GenerateMore; roughly €420 monthly; verify current billing 350 5 Multi-project marketing teams
Enterprise Custom Custom Unlimited Global brands and agencies

Public plans include unlimited users, three selected models, daily tracking, and 4,500/13,500/31,500 monthly AI answers on Starter/Pro/Advanced. Advanced adds multi-country support and Looker Studio. Enterprise adds custom prompt tracking, all models, custom setup, API access, SSO, unlimited projects, and custom tracking frequency. The current feature matrix also lists AI-shopping, crawler, AI-referral, agent, and visibility-lift modules; entitlement and data-source details should be confirmed.

The annual plan pages also show annual savings. Buyers should confirm whether monthly billing, model availability, and agency pricing differ from the brand plans.

Strengths

  • Clear visibility, position, and sentiment metrics
  • Focused workflow without the complexity of a full enterprise marketing suite
  • Public pricing and unlimited users on brand plans
  • Daily tracking on public plans
  • Competitor and source analysis in the same dashboard
  • Multi-country support on Advanced
  • Looker Studio reporting on Advanced
  • MCP and API pathways for advanced workflows
  • Useful fit for agencies and client reporting

Tradeoffs and limitations

  • Prompt allowances are limited by tier
  • Public plans track only three selected models
  • Enterprise is required for all-model coverage, API, SSO, and unlimited projects
  • Advanced is needed for multi-country and Looker Studio functionality
  • Analytics do not automatically create or publish content
  • AI metrics vary by model, prompt, region, and date
  • New or low-authority websites may not generate enough useful signal
  • More integrations may be needed for teams that want GA4 or broader marketing dashboards
  • Visibility changes should not be interpreted as direct revenue attribution

User reviews and market feedback

Evidence snapshot

Source Public signal What it supports Confidence
Peec pricing and feature matrix Checked September 7, 2026: 50/150/350 prompts; 3 selected core models; daily tracking; 1/2/5 projects; 4,500/13,500/31,500 monthly AI answers; AI-shopping, crawler, referral, agent, and reporting modules listed Current product scope and published operational limits; does not expose numeric plan prices or prove every module is included at each tier High for displayed scope; vendor source
G2 Live extraction returned a review describing a clean product, useful MCP integration, and zero-setup data flow, but did not expose a stable rating and review count in this check Qualitative early usability signal only; no numeric score claimed Low / limited
GenerateMore August 2026 independent review reports €70/€180/€360 annual-billing prices, roughly €82/€212/€420 monthly, 3-model standard-plan limit, hybrid UI/API collection, and no traffic attribution Dated pricing, technical, and workflow context; hands-on test was not rerun for the update and prices need live confirmation Medium-low
Capterra Profile checked July 21, 2026 reported 0 user reviews Evidence scarcity; not a second independent rating Low / limited
Cairrot Hands-on AEO review by Cairrot’s co-founder; praises the dashboard, affordability, setup, and support, while noting missing execution features and enterprise-security gaps Practical workflow and positioning; commercial relationship requires caution Medium-low
WorkDuo Competitor-authored comparison; highlights clean monitoring and helpful support, but frames WorkDuo as the alternative Useful for identifying tradeoffs, not neutral product proof Low-medium

Recurring positive themes

Across the G2 profile and independent reviews, the most consistent positive signals are:

  • Clean, focused visibility and competitor dashboards
  • Fast initial setup and relatively low operational complexity
  • Prompt, citation, sentiment, and model comparison workflows
  • MCP access and useful exports for reporting or internal workflows
  • Responsive onboarding or support, particularly in practitioner reviews
  • Pricing that is easier to test than enterprise-oriented platforms

The September 2026 official matrix adds AI-shopping, crawl, AI-referral, visibility-lift, and agent functions to the product scope. Those additions are vendor-documented capabilities, not independently validated outcomes or evidence that earlier reviews tested the newer modules.

Recurring concerns and tradeoffs

The same sources also point to limitations:

  • Peec is primarily a monitoring and analytics product rather than a content-execution suite.
  • API access, SSO, broader model coverage, and some integrations may require higher plans or add-ons.
  • Teams with strict enterprise security requirements should verify certifications and procurement controls directly.
  • Review evidence is still based on a small G2 sample and several commercial or competitor-authored reviews.

How much should buyers trust the ratings?

The current evidence does not support carrying forward a numeric G2 score because the live page extraction did not expose a stable rating/count pair. The directly visible G2 review supports a cautious usability and integration signal, while Capterra explicitly showed zero user reviews. GenerateMore provides a detailed independent update, but its hands-on test predates the current feature expansion and its pricing remains secondary-source context. The public sample supports cautious claims about workflow and positioning—not improved rankings, traffic, citations, or revenue.

AICiteKit interpretation

The evidence supports Peec as an accessible, analytics-first monitoring product with positive early usability feedback. The evidence is weaker for enterprise security, deep execution workflows, and direct business-outcome claims.

What to verify during a trial

  1. Whether 50, 150, or 350 prompts covers the intended market.
  2. Whether the three selected models match the team’s reporting needs.
  3. Whether source recommendations lead to concrete actions.
  4. Whether model results are stable enough for executive reporting.
  5. Whether Looker Studio, API, or MCP access is required before the chosen plan is useful.
  6. Whether the data supports a decision rather than just a visibility screenshot.

Review evidence sources

Peec compared with alternatives

Peec AI vs Profound

Choose Peec for a focused analytics experience, transparent public pricing, and simpler prompt-to-report workflows. Choose Profound for enterprise AEO, prompt-demand data, crawler analytics, Agents, and broader governance.

Peec AI vs Otterly.AI

Choose Peec for analytics dashboards, visibility/position/sentiment metrics, and model comparisons. Choose Otterly.AI for a lower entry price, brand reports, GEO audits, and an approachable self-serve monitoring workflow.

Peec AI vs Semrush

Choose Peec when AI visibility is the primary requirement. Choose Semrush when AI visibility should sit inside a broader traditional SEO, keyword, backlink, and content suite.

Establish a baseline

  1. Add your brand and three to five competitors.
  2. Create prompts across category, problem, comparison, and commercial intent.
  3. Track for several daily cycles.
  4. Record visibility, position, sentiment, and citations.
  5. Separate high-value prompts from informational noise.

Find citation opportunities

  1. Filter prompts where competitors appear more often.
  2. Review the sources cited in those answers.
  3. Classify each source by editorial, community, review, or owned content.
  4. Decide whether to improve your page, earn third-party coverage, or correct product information.
  5. Recheck the same prompts after the intervention.

Frequently asked questions

What is Peec AI?

Peec AI is an AI search analytics platform that tracks brand visibility, position, sentiment, competitors, prompts, models, and citations.

Which models does Peec AI track?

The public plans allow users to choose three models. Enterprise advertises access to all models and up to 11 LLM models. Confirm the current model list during onboarding.

How much does Peec AI cost?

The official page currently confirms 50/150/350 prompts, one/two/five projects, three selected models on public plans, daily tracking, and 4,500/13,500/31,500 monthly AI answers. A dated independent review reports €70/€180/€360 per month on annual billing and roughly €82/€212/€420 monthly, but the current official page extraction did not expose those numeric prices; verify the live quote and billing interval before purchase.

Is Peec AI suitable for agencies?

Yes. Peec provides agency-focused plans and reporting workflows. Agencies should confirm brand, project, prompt, export, and white-label requirements before subscribing.

Is Peec AI worth it?

It can be worthwhile for teams that need a clean analytics layer for AI visibility. It is less suitable if the primary need is content generation, enterprise crawler analytics, or a fully managed GEO program.

Final verdict

Peec AI makes AI search visibility easier to measure and explain. Its value is the combination of prompt tracking, model comparison, visibility, position, sentiment, sources, competitors, and reporting in a relatively focused interface.

AICiteKit verdict: Peec AI is a strong analytics-first choice for SEO teams and agencies that want recurring AI-search measurement without adopting a much larger enterprise platform. Validate prompt capacity, model coverage, and required integrations before moving beyond a pilot.

Sources and verification

Primary sources

Independent sources

Last reviewed: September 7, 2026

Data confidence: High for core metrics and the plan limits visibly returned by the official page; medium for the newly listed AI-shopping, crawler, referral, agent, and visibility-lift scope because entitlement and methodology are not fully exposed; low-to-medium for current numeric pricing and user-feedback generalization because the official price values and a stable public review-count/rating pair were not exposed in this check.

Peec AI

AI search analytics for tracking visibility, position, sentiment, and citations

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