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Vendor dossier / SEO / AEO

Peec AI

AI-search analytics and action platform with monitoring, custom skills and recommended marketing actions.

What it is

Official-source notesSEO / AEOemerging

Peec’s current material includes AI-search analytics and agent actions, custom skills, brand fact-checking and recommended actions. An analytics-only description is now too narrow. [V1] [V2]

Documented means the statement is present in the cited material. Capability effectiveness, customer outcomes and security assurances have not been independently audited here.

Promoted use cases

  • Track AI visibility and competitors
  • Diagnose cited sources and intent
  • Turn findings into recommended marketing actions

AI-search tools observe a shifting answer environment. A mention, citation, ranking and customer conversion are different events. The useful comparison separates measurement coverage, diagnosis, content production and the ability to implement an approved change. An AEO dashboard is not a complete growth team, but it may supply essential evidence to one.

Pricing and buying model

Published commercial evidence

From $95 / month

Brand Starter $95 monthly; Pro $245 and Advanced $495 monthly; Enterprise custom. Prompt, model and billing-period limits apply.

Check current commercial source ↗

Budget for implementation, model and tool usage, data, human review and ongoing support. Credit units and outcome definitions differ between vendors. A missing numeric rate is marked unverified rather than replaced with an old third-party estimate.

Collaboration and governance

The reviewed page does not establish a complete enterprise control-plane capability. That evidence gap is not proof of absence.

The relevant unit of control is permission to publish a change to website content. Inspect who can propose, approve, execute, interrupt and audit that action. Shared seats, shared content and a shared live agent session are different capabilities; require a demonstration of the one your process needs.

Evaluate memory correction, permission revocation and release control for updated instructions. An improvement loop should preserve the original evidence, proposed change, test results and named approver. A safety or security badge alone cannot establish those workflow properties.

Review and customer evidence

No independent review sample was verified in this research pass. Vendor-hosted testimonials are selection-biased customer evidence, not an aggregate rating.

Before relying on a testimonial, confirm the exact product, version, package, workload and baseline. Ask a relevant customer about setup effort, failed cases, ongoing manual work and support after launch. This dossier does not convert customer logos or vendor-hosted awards into independent proof.

Focused feature documentation

Focused documentation check · Sep 2026

Prompt-and-model measurement, with updated public plans

Peec measures a brand’s presence, sentiment and cited sources across monitored AI prompts. Its pricing FAQ says tracking volume depends on the number of prompts and models, and prompts can be allocated across projects. The measurement unit is therefore a prompt-model sampling plan, not an automated campaign. Keep the exact prompt list and models stable during a pilot and inspect the underlying answer snapshots behind each change.

The current official brand pricing page exposes Starter at $95, Pro at $245 and Advanced at $495 per month, with Enterprise custom; the Peec-maintained product instructions describe 50, 150 and 350 prompts respectively. The prices are published but should be checked at checkout for billing period and extras. A separate agency credit model exists and must not be substituted for the brand plan. Peec’s focused analytical role can complement a separate content or orchestration system.

Primary sources: Official brand pricing page ↗ · Official Peec product instructions and pricing context ↗ · Official agency credit explanation ↗

Published documentation and public illustrations; account behaviour was not independently tested.

Visual source

Public Peec AI source page captured 22 September 2026
Peec AI · Public page captured 22 Sept 2026. Vendor presentation, not an authenticated product test. Open source ↗

Fit, limitations and proof requests

Editorial assessment

Peec merits a focused discovery evaluation. Test whether recommendations remain analytical assistance or can execute controlled changes across your workflow.

Priority question: Show the transition from an observed visibility gap to a reviewed action, including its source evidence.

The evaluation owner should be the organic growth or content lead. Use qualified discovery and accepted editorial improvements as the business target. Judge the solution in its own stack role: a cloud runtime, a specialist production tool and a managed AI team can be complementary purchases.

Use-case evaluation plan

Visibility diagnosis with repeatable sampling

Define a buyer-question set before the pilot, segment it by intent and geography, and repeat observations across the engines in scope. Record mentions, citations and answer quality separately. Add neutral and competitor-oriented questions so the exercise does not reward a tool merely for tracking prompts already favorable to the brand.

Measure: coverage, answer variability, citation accuracy and useful diagnostic findings.

Evidence to an approved content change

Choose one material gap and ask the system to explain its source evidence. Request a proposed page revision with factual references, an editorial review and a publication boundary. A marketer should be able to reject the recommendation while preserving the underlying measurement and reasoning.

Measure: accepted recommendations, factual corrections and publishing effort.

Discovery to commercial contribution

Track meaningful website visits and qualified conversions where attribution is technically available, while acknowledging unobservable journeys. Compare the changed pages with similar unchanged pages and note concurrent campaigns. Do not call a short-term visibility movement a causal revenue result without evidence.

Measure: qualified visits, conversions, editorial cost and stability of observed improvement.

Detailed comparison

Read the detailed Nagent vs Peec AI guide for operating models, shared context, governance, cost, evidence gaps and a staged pilot.

Nagent vs Peec AI

Sources and evidence register

Nagent · Multiplayer AI for growth teamsResearch: 21–29 September 2026 · Public-source analysis, no hands-on benchmark · Sources & method