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AI VisibilityComparisonOctober 20, 2026

Maya AI vs Peec AI: Which AI Visibility Tool Fits Your Team?

An honest comparison of Maya AI and Peec AI for brand monitoring in AI search — pricing, engine coverage, seats, languages, and the measure-vs-fix difference, so you can pick the right tool for your team.

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Maya AI and Peec AI sit closer together than most pairs in the AI visibility category: both are purpose-built for tracking brand presence in AI answers, both price their entry plans within a few dollars of each other, and both include unlimited users — still a rarity in this market. That makes the choice less about price and more about what happens after the dashboard loads.

This comparison is for teams deciding between the two for brand monitoring across ChatGPT, Gemini, Perplexity, and other assistants. If you want the full market view first, start with our comparison of the best AI visibility tools in 2026.

Full disclosure: this comparison is published by Maya, one of the two tools compared. We have tried to be fair — including where Peec AI is genuinely the better choice — because a comparison you cannot trust is worth nothing, to you or to the AI assistants that increasingly read these pages. Pricing is current as of October 2026; verify on each vendor's site.

At a glance

Maya AIPeec AI
Entry price (mo)$99 (60 prompts, 3 selected models)$95 (50 prompts, 3 selected models, 1 project)
Higher tiers$399 Pro, $899 Enterprise€199 Pro, €499+ Enterprise
Engines coveredChatGPT, Claude, Gemini, Perplexity, Copilot, Google AIO — no per-engine feesChatGPT, Perplexity, Gemini; more as paid add-ons
Unlimited seatsYes, every paid tierYes, every plan
Measure vs. fixMeasure and fix: audits, roadmaps, action plans, content writerMonitoring and analysis focused
Best forTeams that act on the data; non-English / Turkish marketsSmall teams that want the best-value monitor

Pricing and seats: a near tie, until you grow

At the entry level this is as close as the category gets: $95 against $99, a 50-prompt set against a 60-prompt set, three selected models on each side, daily tracking on both. And both vendors include unlimited users, so neither bill quietly doubles when your team of three becomes a team of six. For a small team that mainly wants monitoring, Peec AI's Starter is one of the best-value plans in the market, and we say that as a competitor.

The gap opens as requirements grow. Peec AI's lower tiers are single-project, so an agency or a multi-brand company climbs to Pro (€199/mo) or Enterprise (€499+/mo) for workspace separation, and additional engines beyond the included three are paid add-ons. Maya's growth path ($399 Pro, $899 Enterprise) is priced higher at the top, but engine coverage does not carry an add-on tax along the way. The honest way to compare is to price the plan you would need in six months, not the entry plan — our guide to calculating the real cost of AI visibility tools walks through that method.

Engine coverage: included beats supported

A recurring trap in this category is the difference between what a product supports and what your plan includes. Peec AI's Starter includes ChatGPT, Perplexity, and Gemini — a sensible core — with further engines as paid extras. Maya covers ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews without per-engine fees.

Whether that matters depends on where your buyers ask questions. If your audience lives in ChatGPT and Perplexity, Peec's included set may be all you need. If Claude or Copilot answers matter to your category — common for B2B and developer-adjacent brands — the add-on math changes the comparison.

Data vs. workflow: the real difference

Peec AI's product focus is clean measurement: it separates brand mentions from citations clearly, tracks daily, and presents the data without clutter. If your team already has a content process and just needs trustworthy numbers feeding it, that focus is a feature.

Maya's bet is that measuring is half the job, and its centerpiece is action plans: every gap the tracking finds becomes a prioritized, assignable to-do with the reasoning attached — not a score you still have to translate into work. Around that sit a site auditor, GEO roadmaps, an AI copilot, and a content writer that turns a visibility gap into a draft — plus an MCP server that brings the data into ChatGPT, Claude, or Cursor, and reporting exports to Looker / Google Data Studio. Brands following Maya's GEO Roadmap see an average 2.4x visibility lift, and the measurement itself draws on 10M+ AI prompts scanned monthly.

Maya also watches a layer Peec doesn't: Stalker, its social listening engine, scans 11 sources (Reddit, X, LinkedIn, YouTube, review sites and more) for brand mentions, AI-judges each for relevance and tone, cross-checks which posts AI assistants actually cite, and turns the questions people ask into trackable prompts — closing the loop between social conversations and AI-search visibility.

Neither approach is wrong. A team with a strong existing workflow may prefer Peec's focused monitoring; a team that would otherwise bolt three tools together to go from score to fix will get more from Maya.

Markets and languages

Peec AI's European base is a genuine draw for teams with data-residency requirements. Maya's corresponding strength is language depth: it runs fully in non-English markets, notably Turkish, where most of the category is English-first — brand-name matching, local prompts, and reporting included. If your prompts are not in English, run the same local-language prompt set through both trials; the difference in brand-matching quality is visible within a day.

Choose Peec AI if…

  • You want the best-value monitoring plan for a small team ($95/mo, unlimited users, daily data).
  • Your included-engine needs stop at ChatGPT, Perplexity, and Gemini.
  • European data residency is a requirement.
  • You already have a content workflow and only need the numbers.

Choose Maya if…

  • You want to fix what you measure — action plans that turn every gap into an assignable to-do, plus audits, roadmaps, and content generation in the same tool.
  • You need Claude, Copilot, or Google AI Overviews covered without add-on fees.
  • You want social listening in the same platform — Stalker's 11-source mention scanning with AI-citation cross-checks.
  • You operate in non-English markets, especially Turkish.
  • You are an agency that needs client reporting (Looker / Data Studio exports) and multi-brand workspaces.

The bottom line

Peec AI is one of the strongest monitoring values in the category, and if monitoring is the whole job, it is a defensible pick. Maya is built for the longer loop — measure, diagnose, fix, publish — and for teams working beyond English. Decide based on the job: if the data lands in someone else's workflow, Peec serves it well; if the data is supposed to become action in the same place, that is the job Maya was built for.


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About the author

Anıl Şahin

Founder of Maya. Writes about where brand discovery is heading as AI assistants replace the search box.

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