Ayzeo vs Peec AI: Which Should You Choose in 2026?
TL;DR verdict
Peec AI is the category leader for pure AI-visibility monitoring: polished multi-country tracking and citation-gap analysis that shows which domains LLMs actually cite. Ayzeo starts at less than half the price ($39/mo vs $95/mo) and pairs monitoring with the tools to act on what it finds — a JSON-LD generator, an LLMs.txt creator, AI content generation, meta-tag tools, and a WordPress plugin — plus white-label PDF reports and GA4 + Search Console integration on Pro ($149/mo). If pure monitoring for a multi-country team is the whole job, pick Peec. For SMBs and agencies that want to monitor and improve their AI visibility on a tighter budget, Ayzeo is the better fit.
Ayzeo is our product, and we name Peec's strengths plainly. Competitor information is verified against vendors' public pages — prices last checked July 14, 2026.
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Side by side
Feature comparison
| Feature | Ayzeo from $39/mo | Peec AI from $95/mo |
|---|---|---|
| Starting price | $39/mo | $95/mo |
| Plan tiers | 2 tiers $39 Starter / $149 Pro | 3 tiers + Enterprise $95 / $245 / $495 |
| Prompts at entry | 20 | 50 |
| AI engines at entry Models tracked in the base plan | 2 engines ChatGPT + Google AI Overviews | 3 of 6 models you choose which |
| Max engine coverage | 2 + 5 add-ons $29/mo each: Claude, Perplexity, Gemini, DeepSeek, Grok | 6 models max Claude + GPT-5 Search Enterprise-only |
| Claude tracking | $29/mo add-on per model per project | Enterprise only via API |
| Team seats | Unlimited every plan | Unlimited on every tier |
| Multi-country tracking | One region per project region-aware prompt runs | Up to 3 countries per project on Pro |
| Sentiment analysis | Yes alongside citation tracking | Yes 0–100 sentiment score |
| Optimization tooling Content, schema, implementation | Yes JSON-LD, LLMs.txt, content, meta tags, WP plugin | No Actions recommendations, not creation tools |
| White-label reports | Yes Pro | Not published agency plans exist |
| GA4 + Search Console integration | Yes Pro | Not published |
| Free trial | Free instant audit no card | 7-day trial no card |
Prices shown are monthly in USD; Peec AI offers roughly 15% off on annual billing and custom Enterprise pricing. Ayzeo add-on engines are $29/mo per model per project. "Not published" means the vendor does not document that dimension on its public pricing or feature pages as of July 14, 2026 — it may be available on custom or agency plans, so ask the vendor directly. Prices verified: July 14, 2026.
Deep dive
Each option, honestly
Ayzeo our product
Ayzeo is a GEO platform built around one idea: the dashboard is only half the job. It tracks citations, mentions, and sentiment across ChatGPT and Google AI Overviews (with five more engines as add-ons), then hands you the tools to fix what it finds — structured data, LLMs.txt, content, meta tags, and a WordPress plugin.
Strengths
- Monitoring plus implementation in one platform: JSON-LD generator, LLMs.txt creator, AI content generation, meta-tag tools, and a WordPress plugin
- Pro ($149/mo) adds the agency essentials Peec does not publish: white-label PDF reports, GA4 + Google Search Console integration, and owned-channels tracking
- Citation tracking, mention tracking, and sentiment analysis included as core metrics on every plan
- An entry price of $39/mo — less than half of Peec's $95/mo Starter — and a free instant audit that needs no credit card
Limitations
- 2 engines in the base plan; Claude, Perplexity, Gemini, DeepSeek, and Grok are $29/mo add-ons per model per project
- Fewer prompts at entry than Peec (20 vs 50), and no direct equivalent of Peec's citation-gap "power sources" analysis
- One tracked region per project, versus Peec's deeper multi-country reporting — and a smaller company than Peec overall
Best for: SMBs and agencies that want to act on their AI visibility data — monitoring plus implementation at a self-serve price.
Peec AI
Peec AI is the category leader for AI-visibility monitoring in Europe, founded by ex-Google and DeepMind engineers. It has raised $29.1M, reports roughly $10M ARR, and is reportedly in talks at ~$200M pre-money (Sifted, June 2026). The product is monitoring-focused: strong dashboards, competitor tracking, and prioritized recommendations rather than creation tools.
Strengths
- Best-in-class monitoring UX: clean dashboards, fast setup, and multi-country prompt tracking (up to 3 countries per project on Pro)
- Unlimited user seats on every tier, including the $95/mo Starter — no per-user procurement friction
- Citation-gap and "power sources" analysis that shows which domains LLMs actually cite for your prompts
- Multi-language support across 115+ languages, plus dedicated agency plans
- Strong momentum and staying power: an experienced founding team, fast growth, and serious funding interest
Limitations
- Self-serve plans track your choice of 3 of 6 models; Claude and GPT-5 Search are Enterprise-only via API
- Monitoring only — the Actions module prioritizes recommendations but there are no content, schema, or CMS tools to implement them
- Entry price is more than double Ayzeo's ($95/mo vs $39/mo), and API access is reserved for Enterprise
Best for: Growing teams and agencies that want polished multi-country monitoring with unlimited seats and will handle implementation elsewhere.
The decision
Who should pick which
- pure monitoring is the whole job and another team handles implementation
- you need deep multi-country tracking across a large marketing team
- your budget fits its $95–$495/mo self-serve tiers
- you want monitoring plus the tools to fix what it finds (schema, LLMs.txt, content, WordPress)
- you deliver white-label client reports as an agency
- you want to start at $39/mo — or free, with an instant no-card audit
Credit where due
What Peec AI does better
A comparison written by a competitor is only useful if the concessions are real, so here are Peec's. Its monitoring is more polished at scale than Ayzeo's: dashboards are clean, setup is fast, and multi-country prompt tracking (up to 3 countries per project on Pro) goes deeper than Ayzeo's one-region-per-project setup. Its citation-gap and "power sources" analysis — which domains LLMs actually cite for your prompts — is a genuinely useful dataset for content and digital-PR teams that Ayzeo has no direct equivalent for.
The company behind the product is strong too. Founded by ex-Google and DeepMind engineers, Peec has raised $29.1M, reports roughly $10M ARR, was adding around 300 new customers a month (company-reported, late 2025), and is reportedly in talks at ~$200M pre-money (Sifted, June 2026). If you are betting on a vendor being around and improving for years, Peec clears that bar easily. The rest of this page is about the part Peec does not do: what happens after the dashboard tells you something is wrong.
The core difference
Monitoring vs implementation: the real dividing line
Feature tables make these two tools look closer than they are. The real difference is what happens after a report. Peec's Actions module gives you prioritized recommendations — it tells you what to fix and in what order, which is genuinely more than raw dashboards. But the fixing itself happens outside Peec: your developers write the JSON-LD, your writers produce the content, your team maintains the LLMs.txt file.
Ayzeo builds that layer in. The same platform that flags a citation gap generates the JSON-LD schema, creates and maintains your LLMs.txt file, drafts AI-optimized content, rewrites meta tags, and pushes changes through a WordPress plugin. On Pro, GA4 and Google Search Console integration close the loop by showing whether AI-referred visits and impressions actually moved. That is the honest trade: Peec monitors more countries with more polish; Ayzeo turns findings into shipped fixes without a second toolchain. Which matters more depends entirely on who implements your fixes today.
For agencies
Which is better for agencies?
Peec's agency case is scale and coverage: dedicated agency plans and multi-country tracking make it easy to monitor international clients from one place and give every account manager and client stakeholder a login (both platforms include unlimited seats, so neither charges per user). If your agency sells monitoring as the deliverable and produces its own reporting layer, Peec fits well.
Ayzeo's agency case is the deliverable itself: Pro ($149/mo) includes white-label PDF reports you can put your own brand on, GA4 + Search Console integration to prove movement, and owned-channels tracking — and because engine add-ons are priced per model per project, you only pay for the engines each client actually cares about. The WordPress plugin also lets your team implement fixes on client sites rather than just recommending them. For agencies whose retainer includes doing the work, not only reporting on it, Ayzeo is the stronger fit; for pure monitoring across many countries, Peec is.
FAQ
Frequently asked questions
Is Ayzeo a good Peec AI alternative?
Yes, for a specific kind of team. Ayzeo is a strong Peec AI alternative for SMBs and agencies that want AI visibility monitoring plus the tools to act on it — JSON-LD schema, LLMs.txt, AI content generation, meta tags, and a WordPress plugin — starting at $39/mo instead of $95/mo. It is not a like-for-like swap: Peec offers deeper multi-country tracking and citation-gap "power sources" analysis, so teams that only need polished monitoring at scale may still prefer Peec.
How much does Ayzeo cost vs Peec AI?
Ayzeo has two tiers: Starter at $39/mo (20 prompts, ChatGPT + Google AI Overviews, unlimited seats) and Pro at $149/mo (adds white-label PDF reports, GA4 + Search Console integration, and owned-channels tracking), with extra engines at $29/mo per model per project. Peec AI runs $95/mo (Starter), $245/mo (Pro), and $495/mo (Advanced) in USD, also with unlimited seats, plus a custom Enterprise tier and roughly 15% off on annual billing. Prices verified July 14, 2026.
Which tracks more AI engines, Ayzeo or Peec AI?
It depends on tier. Peec AI has six models on its menu, but self-serve plans include your choice of 3, and Claude and GPT-5 Search are Enterprise-only via API. Ayzeo includes 2 engines in the base plan (ChatGPT and Google AI Overviews) and can reach up to 7 with add-ons — Claude, Perplexity, Gemini, DeepSeek, and Grok at $29/mo per model per project. So Peec includes more models at entry (3 vs 2), while Ayzeo can track more in total and is the cheaper route to Claude tracking.
Which is better for agencies, Ayzeo or Peec AI?
For agencies that deliver implementation and branded reporting, Ayzeo is the stronger fit: Pro at $149/mo includes white-label PDF reports, GA4 + Google Search Console integration, owned-channels tracking, and per-project engine add-ons so you only pay for the models each client needs. For agencies that sell monitoring at scale, Peec AI is the stronger fit, with dedicated agency plans and multi-country tracking. Neither is flatly better — it depends on what your retainer covers.
Do Ayzeo and Peec AI have free trials?
Peec AI offers a 7-day free trial with no credit card required. Ayzeo offers a free instant AI readiness audit of your website with no credit card, so you can see your current AI visibility before paying anything. Both let you evaluate the product before committing to a paid plan.
How big is Peec AI?
Peec AI is the category leader for AI visibility monitoring in Europe. Founded by ex-Google and DeepMind engineers, it has raised $29.1M, reports roughly $10M ARR, was adding around 300 new customers a month (company-reported, late 2025), and is reportedly in talks at ~$200M pre-money (Sifted, June 2026). For buyers, that means low vendor risk and a fast-improving product — which is exactly why this page concedes Peec's monitoring strengths and argues on price and implementation tooling instead.
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Changelog
Substantive updates to this page
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About this comparison
Written by Aykut Çevik and reviewed by the Ayzeo team. This page is maintained by Ayzeo, a Generative Engine Optimization platform by Fyrma Inc., based in New York and Berlin. Competitor features and prices reflect publicly available information, last verified on July 14, 2026, and are reviewed monthly. If you spot something outdated, let us know.