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Comparison
Both measure how your brand appears in AI answers. The difference is who does the work afterwards: Peec hands you the data and the skills; Meikai runs the optimisation, measures it, and publishes the ads.
All comparisonsPeec AI is the best self-serve product in the category: sign up, pay, and have a dashboard the same afternoon, with recommendations and agent skills you can run yourself. For one team tracking one brand it is the sensible buy.
The one difference that matters is who does the work afterwards. Peec describes itself as self-serve, agent actions included: the skills are yours to build and trigger, and what you do with the recommendations is up to you. Meikai's agents run on a schedule, pass a critic review before anything reaches you, and arrive with a customer success manager from Growth; the effect of each change is measured before and after, and advertising is planned and published in the same platform. On prompts, ours start from a panel of 1.5 billion real messages; Peec suggests its own from your brand profile and scores demand from one to five, without saying how much data sits behind the score.
Peec gives a capable team an excellent measurement surface. Meikai is built for the programme that follows.
Read off each vendor's own public pages on the date shown. Cells we could not source are marked Not published.
| Criterion | Meikai | Peec AI |
|---|---|---|
| Entry price | EUR 90/mo1 | EUR 85/mo (Starter)1 |
| What you pay for | Per brand, per market, per LLM, per prompt1 | Per project, 1 on Starter1 |
| Maximum prompts | Unlimited1 | 350 on Advanced, custom on Enterprise1 |
| Supported LLMs | 14+ monitored4 | 3 per plan, up to 13 on Enterprise1 |
| Analysis window | No limit1 | Not published1 |
| Multi-brand and multi-country | Multi-country and multi-brand view1 | Multi country on Advanced, sub-brand tracking1 |
| Prompt modelling | Prompt Studio: generate, bulk import, review, versioned publishing5 | Prompt suggestions, keywords, personas, bulk import1 |
| Real user prompt data | 1.5B+ panel messages with demographics, 2M users reported5 | Prompt volume scored 1 to 51 |
| Self-serve signup | No, demo-led1 | Yes, free trial2 |
| Product and SKU tracking | SKU ranking, shelf share, price win rate, accuracy7 | AI Shopping: SKU visibility, position, win rate1 |
| Citation and source tracking | Per-citation portrayal, centrality, format and source influence4 | Source analytics and citation share1 |
| Brand perception | Attribute radar, claims checked against governed facts4 | Attributes, objections, fact-checked claims1 |
| Site and crawler analysis | SEO audit, logs from 7 CDNs, every bot IP-verified, AI referrals to purchase10 | Crawlability audit 40+ bots, CDN logs, AI referrals1 |
| Advertising in AI answers | ChatGPT ad planner (GEA), campaigns pushed to OpenAI, public rate card11 | Ads library, monitoring only1 |
| Optimisation agents | Scheduled multi-agent runs, critic-reviewed3 | Recommended actions, pre-built and custom agent skills1 |
| Optimisation impact | Before and after tracking on every change6 | Visibility lift analysis and predictor1 |
| Data access | 150+ MCP tools, sync API, 1M-row exports to GCS9 | MCP that reads and writes, API on Enterprise, Looker Studio, CSV3 |
| Integrations | GA4, Search Console, logs from 7 CDNs10 | Google Analytics, CDN and log providers1 |
| Stakeholder reporting | PDF and PowerPoint decks from every dashboard2 | Shareable dashboards, Looker Studio, CSV1 |
| Dedicated customer success manager | Included on Growth and Enterprise1 | Self-serve onboarding, chat support1 |
| Security and compliance | SSO and role-based access, SOC 2 Type 2 in progress8 | SSO on Enterprise1 |
Not published means the vendor does not state it on the public pages listed below. It does not mean the product cannot do it.
At the entry tier the two are within a few euros of each other, but they are not the same unit: Peec's Starter covers one project, Meikai's Starter covers one brand in one market. A brand tracked in five markets is five lines on a Meikai invoice. Compare the total for the markets you actually need rather than the headline figure.
Meikai monitors fourteen engines and lets you track six on Growth and Enterprise. Peec AI lists six engines on its self-serve plans with three tracked at a time, and states up to thirteen on Enterprise. The count matters less than whether the engines your customers use are in the list, and whether the platform does anything with what it measures.
Yes, and we would encourage it. Use the same prompt set in both, in the same markets, over the same fortnight. Prompt sets differ enough between platforms that any other comparison is measuring the prompts rather than the platforms.
Ask for the number split between branded and non-branded prompts. A set that includes your own brand name will score far higher on those prompts than on the category questions where buyers actually start, so a blended headline can read as a strong result while the non-branded half sits near zero. Peec classifies each prompt as branded or non-branded and so do we. Ask either of us to show the two numbers separately, for the same prompt set, before you compare anything else.
Meikai starts from a panel aggregate of more than 1.5 billion question-and-answer messages, reported from around 2 million users and carrying demographics, so the first draft reflects what people in your market actually ask. Peec suggests prompts from your brand profile, alongside keywords and personas, and gives each a demand score from one to five, drawn from search trends and AI conversation data and relative to your industry. Both platforms take a bulk import of your own list, so the question is not whether you can bring your prompts. It is what informs them before you do.
The fastest way to settle a shortlist is to run the same prompts through both platforms and compare what comes back. We will set that up with your prompts and your markets.