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Peec AI

A dated analyst profile of Peec AI, an AI search analytics platform for prompt tracking, citations, sentiment, and share of voice.

Updated Oct 26, 2026 Reviewed Oct 26, 2026 en

Peec AI is a commercial AI search analytics vendor. Across captures on 2026-09-07 and 2026-10-26, its public site sold prompt tracking across answer engines, then scored visibility, position, sentiment, and share of voice from stored chats and sources. Adjacent modules include citation analysis, recommended actions, ChatGPT-centric shopping, robots.txt crawlability, optional crawler-log insights, and MCP or API reporting.

Geolyze files it with AI visibility tools because the measurement objects are prompts, generated answers, citations, competitors, and share of voice. It is not a classic SEO rank tracker.

This profile is an analyst file from official marketing, pricing, docs, and changelog pages captured on 2026-09-07 and re-captured on 2026-10-26. It is not a hands-on product test. Live dashboard behavior stays unknown.

Best fit

Use Peec AI when the team wants a dedicated AI-answer tracker and can accept three active models on a self-serve brand plan, or when an agency needs one credit pool across clients.

Enterprise packaging is a better match when procurement needs SSO, REST API, Perplexity or the other API-only models named on the matrix.

It is a weaker fit when the only job is lean measurement across many engines on the cheapest plan, or when shopping coverage beyond ChatGPT is a purchase requirement.

What official pages claim

Public pages name these modules. Treat them as vendor-stated capabilities, not Geolyze lab results.

ModuleOfficial jobEvidence note
Prompt trackingConversational prompts run on a cadence across chosen modelsMost concrete measurement object. Daily on self-serve brand cards.
Visibility / position / sentiment / share of voiceMention rate, mention rank, tone, competitive shareFormulas are in official docs. Accuracy untested.
Sources and citationsRetrieved URLs versus visible citations; gap analysisMatches Geolyze citation criteria if chats are retained.
Recommended actions / Peec AgentRanked opportunities; agent skills; agent credits 500 / 750 / 1000 by tierNamed on pricing. Quality unknown.
AI ShoppingProduct visibility, win rate, mentioned versus catalog priceDocs say ChatGPT shopping today. Other engines unknown.
Crawlability / Crawl Insightsrobots.txt versus 40+ bots; optional log-based bot hitsVendor-stated. Connector quality untested. Cards print 4.5M / 13.5M / 31.5M bot-visit allowances.
Brand PerceptionAttribute association versus market prominence; objections; fact-checked promptsChangelog 2026-08-03, extended on the 2026-10-26 matrix. Untested.
Ads librarySponsored placements inside answersChangelog: ChatGPT only for now.
Local GEO / AI referrals / Visibility lift predictorLocal answer presence; visits arriving from AI assistants; modeled liftNewly named on the 2026-10-26 pricing matrix. Untested.
MCP / API / LookerQuery and exportREST API documented as Enterprise. Looker named on Advanced. MCP plan gate needs_review.

Prompt tracking is the module that maps to a serious GEO checklist: a stored prompt, a dated answer, citations, and a way to compare competitors over time. If a demo only shows a score, ask for the underlying answer and source evidence.

Platform coverage

Coverage is plan-gated. Do not read homepage engine names as the Starter allotment.

From the official brand pricing page:

Agency default engines matched the six-name self-serve list, and the agency matrix also names Naver AI. Comprehensive named the extra API models.

The brand matrix also listed country caps of 1 / 3 / 3 on Starter / Pro / Advanced. A pricing FAQ said region and language are not billed separately from prompts. How those statements interact is needs_review.

Whether a given Enterprise contract includes every named model is unknown. The engine catalog, not the dollar price, is the volatile part of a Peec claim: verify it against the live matrix at purchase time.

Pricing note

Captured from Peec’s public brand and agency pricing pages on 2026-10-26, reading both billing toggles in a live browser. Annual amounts were identical to the 2026-09-07 capture; month-to-month amounts are the 2026-10-26 reading. FAQ text on those pages described about 15% off for annual billing.

PlanAnnual list priceMonth-to-monthWhat the page showed
Brand Starter$80/month$95/month50 prompts; 3 models; 1 project; unlimited users
Brand Pro$205/month$245/month150 prompts; 3 models; 2 projects
Brand Advanced$420/month$495/month350 prompts; 3 models; 5 projects; Looker Studio named on the card
Brand EnterpriseCustomCustomAll named models; API; SSO; up to 13 models
Agency Essential$205/month$245/month10,000 credits; sample daily config 111 prompts
Agency Growth$420/month$495/month25,000 credits; sample 277 prompts
Agency Scale$675/month$795/month65,000 credits; sample 722 prompts; daily or weekly
Agency ComprehensiveCustomCustomUnlimited credits

Agency credits were defined as one prompt × one model × one day. Credits were described as allocation slots that do not reset monthly. Minimum allocation per project was 900 credits.

The Additional Models add-on showed Annual prices of $30 / $70 / $140 by tier; its month-to-month prices were not captured. An older official AI-instructions page from July 2026 listed higher self-serve amounts. Prefer the live pages and re-check before purchase.

Strengths

The public matrices are specific enough to compare prompt caps, credit pools, and the three-model self-serve rule before a demo — on both billing toggles. That is more useful than a slogan about full coverage.

Dollar pricing held stable across two captures seven weeks apart, which makes the published amounts easier to trust even though packaging details can still move.

Official docs define the measurement fields a GEO operator actually needs: prompt, chat, citation, competitor share, and a split between brand visibility and source visibility.

Agency packaging publishes a credit formula and pitch-project slots, which matters if the buyer is a multi-client team rather than a single brand.

Limitations

Self-serve brand coverage is three active models. Homepage and docs name more engines than Starter includes.

The engine catalog drifts: between the 2026-09-07 and 2026-10-26 captures, Perplexity left self-serve for the Enterprise column, Naver AI joined self-serve, and Meta Spark appeared as an API model. A capture older than a few weeks is weak evidence for coverage claims.

Shopping and Ads are ChatGPT-first in official notes. Do not assume Gemini or Perplexity shopping from this capture.

REST API access is documented as Enterprise for brands (agency changelog: API model selection on Scale and above). MCP availability by plan was not fully proven from the matrix text dump.

UI-scraping quality, sentiment scoring, crawler attribution, and SOC 2 status were not independently tested. Customer-count and G2 lines are not Geolyze facts.

Example and counterexample

A workable use is an SEO lead tracking 150 category and comparison prompts daily on Pro across ChatGPT, Gemini, and AI Overviews, then reviewing citations and share of voice against two competitors each week.

A mismatch is a founder buying Starter because the homepage names many engines, then expecting more than three to run at once, or expecting Perplexity on a self-serve plan after the catalog change. The public matrix said choose three, and the 2026-10-26 matrix put Perplexity in Enterprise.

Alternatives

The published Geolyze vendor profiles at the time of this page are AIvsRank and Profound. Use AIvsRank when the next job is measurement, benchmarking, or audit; use Profound when answer-engine tracking should come bundled with an AEO content workflow rather than Peec’s analytics suite.

Other AI visibility vendors should not be compared feature-by-feature here until they have their own reviewed profiles.

For buying criteria without a vendor shortlist, use Best AI Visibility Tools and How to Measure AI Visibility.

Operator checklist

  1. Write the job: measurement only, shopping, crawler logs, or agency multi-client reporting.
  2. List the answer engines that matter commercially and check them against the live matrix. Self-serve was “choose 3” of a six-engine catalog on 2026-10-26; engines move between tiers.
  3. Confirm Annual versus month-to-month. Both toggles are in the table above; add-on month-to-month prices are still uncaptured.
  4. Confirm prompt or credit caps, projects, and export path (CSV, Looker, API, MCP).
  5. Ask for a dated sample of prompt, full answer text, citations, and competitor mentions. A score without answer evidence is not enough.
  6. Re-check live pricing and the engine catalog. This note is from 2026-10-26.

Common misunderstanding

Peec markets AI search analytics. In Geolyze terms that is AI visibility measurement and prompt tracking. Unlimited users is not unlimited prompts. Homepage engine names are the catalog, not the Starter allotment — and the catalog itself moves: Perplexity was self-serve in September 2026 and Enterprise-tier by October.

Verification note

Official pages were captured on 2026-09-07 and re-captured on 2026-10-26. Dollar amounts on both dates were read from the live billing-toggle UI because a static fetch omits them. Pricing was identical across the two captures; engine coverage was not, and the page records both states. Geolyze has not operated a Peec workspace. Recapture pricing, engine coverage, and plan limits before relying on this page for procurement.