AI assistants have become a measurable source of website traffic. Across the brands seoClarity monitors, the top five AI search engines sent more than 65 million visits over the past year.
That’s why marketing teams now track how their brands appear in AI-generated answers, and why platforms that measure it are showing up on enterprise shortlists.
Peec AI is built for that job. It publishes its prices, and teams can start tracking on a self-serve plan from $95 a month, while API access, single sign-on and larger prompt and engine allowances sit on a separate Enterprise tier that’s priced by quote.
For an enterprise buyer, that split shapes the evaluation. A self-serve trial is easy to start, but the questions that decide a rollout, such as engine coverage, prompt capacity, user provisioning and security confirmation, need answers the pricing page doesn’t give. This analysis covers Peec’s tracking and recommendation features, its newer brand-perception and AI-referral reporting, where each plan’s limits fall, and ten questions to bring to a demo.
Editorial disclosure: seoClarity offers technology that may compete with Peec AI. We did not trial Peec AI directly for this article. This analysis is based on publicly available information, primarily Peec’s own website and documentation, reviewed on September 24, 2026, and rechecked on September 28, 2026. Product details and pricing change often, so verify your requirements directly with Peec AI.
Peec AI describes itself as AI search analytics for marketing teams. Its documentation says the platform shows how a brand appears in AI search and what teams can do to influence that visibility. On its pricing page, Peec says it serves more than 3,000 brands and agencies.
Tracking starts with four inputs: prompts (the conversational questions buyers ask AI assistants), the AI engines and markets you select, and the competitors you want to benchmark against.
How Peec AI’s tracking model works, based on Peec’s public documentation.
Peec then reports four core metrics:
Peec’s AI Instructions page says it collects answers mainly through each engine’s user interface rather than its API. Prompts run daily on self-serve plans, and Enterprise customers can choose daily or weekly tracking, according to Peec’s pricing page.
Peec’s prompt documentation describes four ways to add prompts: manual entry, bulk CSV upload, automated suggestions and a guided Prompt discovery workflow.
The discovery workflow builds prompts from your brand profile, markets and topics. By default, it targets 20% branded prompts and a 25/50/25 split across informational, commercial and transactional intent.
Peec also gives each prompt a Prompt Volume score from 1 to 5. It’s a relative rank against your own industry, not an estimate of how often people ask the question.
Peec says the score draws on search trends, AI conversation data and other industry signals, but it doesn’t publish how those inputs are weighted. If you plan to prioritize prompts by demand, test the score against your own search data during a demo.
Why it matters: Your prompt set is the sample every metric is built on. At enterprise scale, governance matters. Who approves new prompts, how duplicates are removed and how prompts are tagged by market and business unit all affect data quality.
Peec’s AI Instructions page says Position accounts for every brand detected in an answer, not only the competitors you’ve added.
Peec also suggests competitors automatically when a brand appears repeatedly alongside yours, and you can add competitors manually.
Peec separates the pages an AI engine accessed from the pages it cited in the visible answer. Its pricing page also lists source classification (such as competitor, editorial, reference or UGC) and a gap analysis showing sources that mention competitors but not your brand. Peec’s changelog also describes Query Fanouts, which show the searches AI engines run before answering.
Why it matters: Source data shows you where to act: owned pages, earned media or community sites. In a demo, ask Peec to show how a cited-source gap turns into a specific recommendation.
Brand Perception left early access on August 3, 2026, according to Peec’s changelog. It shows the attributes AI models associate with a brand and the objections they raise, and it fact-checks AI claims against facts the company registers in Peec. Peec’s September 17, 2026 announcement says Objections requires the Pro plan or higher and that fact and prompt coverage scale by plan.
Actions ranks earned and owned opportunities by a relative opportunity score, and Peec says it’s included on every plan. Peec doesn’t write or publish content and task assignment and integrations such as Jira weren’t described in the materials reviewed. Reviewers also reported mixed confidence in the recommendations.
On September 11, 2026, Peec added AI Referrals, which uses GA4 to report sessions, engagement, conversions and revenue from AI assistants, along with a page-level “My website” view that adds server-log data. Peec hasn’t said which plans include it, and because it’s new, ask to see it working on your own GA4 property.
Peec publishes self-serve pricing on its pricing page.
|
Plan |
Monthly billing |
Annual billing |
Prompts |
Projects |
Models |
Notable inclusions |
|
Starter |
$95/mo |
$80/mo |
50 |
1 |
Choose 3 |
Unlimited users, daily tracking |
|
Pro |
$245/mo |
$205/mo |
150 |
2 |
Choose 3 |
Unlimited users, daily tracking |
|
Advanced |
$495/mo |
$420/mo |
350 |
5 |
Choose 3 |
Multi-country, Looker Studio integration |
|
Enterprise |
Custom, billed annually |
Custom, billed annually |
Fully customizable |
Unlimited |
All models, up to 13 |
API access, SSO, custom prompt setup |
Information checked on September 24, 2026.
Prices are shown in USD as displayed on Peec’s pricing page in the US. Some third-party reviews report euro pricing, so the currency shown may vary by region.
Peec AI’s pricing page. Source: peec.ai/pricing, captured September 24, 2026.
Annual billing saves about 15% compared with monthly billing.
Engine coverage is the part of the pricing page to read most carefully. The pricing page lists “Choose 3 models” on every self-serve plan and all models, up to 13, on Enterprise.
Peec’s AI Instructions page instead says all brand plans include six engines (ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini and Microsoft Copilot), with Claude, DeepSeek, Grok and Mistral as paid add-ons on higher tiers.
In practice, the Advanced plan is the self-serve ceiling. A program that needs more prompts, projects or engines than it includes moves into a custom Enterprise agreement, where pricing isn’t published.
Peec’s API documentation states that API access is currently limited to Enterprise customers. The published rate limit is 200 requests per minute per project.
Peec’s April 2026 MCP announcement says its MCP server, which connects Peec data to AI assistants such as Claude, is available on all paid plans. The Looker Studio integration is listed from the Advanced plan, and Peec also lists custom CSV exports.
Peec’s pricing page lists multi-country tracking on the Advanced plan. Country limits for the other plans weren’t stated clearly in the pricing materials reviewed.
Peec’s SSO documentation states that it supports SAML 2.0 and that OIDC and SCIM directory provisioning aren’t offered. Accounts are created the first time someone signs in through the identity provider, and administrators can require SSO for their domains.
Why it matters: Without SCIM, user accounts aren’t automatically synced with your identity provider, so removing someone there may not remove their Peec account.
Peec’s pricing page also lists role-based permissions at company and project level, including read-only access. Audit logs weren’t described in the public documentation reviewed.
Peec’s July 2026 AI Instructions page described its security compliance as “Pursuing SOC 2 (not yet certified).” We found no newer official statement when we rechecked on September 28, 2026. If your vendor-risk review requires a SOC 2 report, check Peec’s timeline before procurement starts.
Peec’s privacy policy states that it processes personal data in compliance with the GDPR and hosts its application backend on Google Cloud.
Peec’s documentation explains that archived prompts keep their history while deleted prompts erase it.
Tracking starts when you add prompts, and we found no documented way to backfill earlier periods. Unless you have that history in another tool, any delay in onboarding is a period you won’t be able to report on in Peec.
A data retention period wasn’t published in the materials reviewed.
When checked on September 28, 2026, Peec held a 4.7 out of 5 rating from 21 reviews on G2. Peec’s own website cites 4.9 on G2. Peec also had 18 reviews on OMR Reviews and no reviews on Capterra when checked on September 24, 2026.
Positive themes in the reviews examined included ease of setup, interface clarity and responsive support.
Recurring concerns included:
Keep the sample in perspective. Of the 21 G2 reviewers, 14 listed companies with 50 or fewer employees, and one listed a company with more than 1,000.
The rating is positive. Because the sample was weighted toward smaller companies, it provides more evidence about small-team experiences than enterprise-scale deployment.
Peec is designed for fast, self-serve setup, with published entry pricing, unlimited users and a guided prompt workflow. That makes it a practical option for a team launching its first AI visibility program or tracking one brand in a few markets.
Fit is harder to confirm once a program outgrows the self-serve limits or IT requires the identity and security controls described above. At that point the evaluation becomes a custom Enterprise negotiation, and three checks usually decide it: engine coverage and cost, security documentation, and market coverage. The questions below cover all three.
Commercial terms and support
Because seoClarity publishes this analysis and may compete with Peec AI, here’s how ArcAI handles the same criteria.
Prompt strategy. seoClarity ArcAI prompt research is grounded in real search demand and maps prompts to buyer-journey stages, from awareness through retention.
Enterprise reporting and workflow. ArcAI lets each business unit report against its own competitor set and compares conversions from AI-referred traffic with traditional organic search. It also turns visibility data into prioritized recommendations that teams can assign through built-in task management or Jira.
Brand accuracy. ArcAI Accuracy builds a source-of-truth index from the sections of your site that contain factual claims about your brand, products, services and policies. It then checks the AI answers tracked in ArcAI Visibility against that index and flags direct conflicts, quantitative mismatches, missing qualifiers and insufficient evidence. Both platforms offer fact-checking.
The difference is the reference set: Peec checks AI claims against facts you register in it, while ArcAI Accuracy builds its reference set from your site’s own content. ArcAI Accuracy is available as an add-on. Learn more about ArcAI Brand Accuracy.
Getting new pages in front of AI engines. ArcAI Indexer detects newly published pages on a verified domain, using sources such as sitemaps, new rankings, recurring crawls and bot logs, and submits them to AI engines, often on the day they’re discovered. Submission brings a page to the engines’ attention but doesn’t guarantee they’ll crawl or use it. We could not identify a comparable page-submission capability in the Peec documentation reviewed; Peec’s Crawl Insights reports AI bot activity from server logs.
Engine access and pricing. ArcAI makes all supported AI engines available across its plans, and clients can select the AI search engines most relevant to their audiences and markets. ArcAI’s API and MCP server are available in all paid subscriptions. ArcAI pricing is custom. Contact seoClarity sales for a quote.
We’d encourage you to ask seoClarity the same ten questions above.