Compare / Lantad vs Peec AI
Lantad vs Peec AI
Peec AI tracks what AI assistants already say about your brand; Lantad measures and fixes whether AI crawlers can read your site in the first place.
Peec AI and Lantad both work in AI search, but they sit at different points in the chain. Peec AI is a GEO analytics platform: it runs prompts across AI assistants and reports how your brand shows up, who gets cited, and how you compare to competitors. That is monitoring the output.
Lantad works one layer upstream. It checks whether AI crawlers can actually reach and read your pages, scores that machine readability, and helps fix the gaps. If a crawler cannot read a page, nothing downstream can cite it. The two are complementary rather than competing.
What Peec AI does
Peec AI is an AI search analytics platform based in Berlin. It grew out of the Antler residency program and launched its product publicly in early 2025. Its stated positioning, taken from its own homepage, is "AI search analytics for marketing teams." It runs brand- and topic-level prompts on a recurring basis across major AI assistants, including ChatGPT and Perplexity, and reports metrics including visibility, share of voice, position, sentiment, prompt performance, and the sources cited in AI answers. The exact set of assistants covered and how they are split across plans varies by tier and can change over time. It emphasizes competitor benchmarking, tracking across multiple countries, unlimited seats, and EU data residency with a GDPR-first posture. Third-party reviews and Peec's own materials consistently describe it as a monitoring and analytics tool: it does not create content, run site audits, or perform technical SEO work.
What Lantad does
Lantad is an AI-visibility scanner focused on machine readability. It fetches a page the way AI crawlers do (raw HTML, no JavaScript), fetches it again in a real browser, diffs the two, and scores whether AI crawlers can reach and read the content across Prose Parity, Access (robots.txt per crawler), Retrievability, Structure, and Schema, producing a 0 to 100 score. It then helps fix what it finds through a Deep Audit, Fix Sprint, and ongoing monitoring. Lantad's lane is the readability layer: whether AI can read a site at all, and repairing it when it cannot. It does not track brand mentions, sentiment, or share of voice across assistants the way a monitoring tool does.
| Dimension | Peec AI | Lantad |
|---|---|---|
| Primary job | Monitor how a brand appears in AI answers (mentions, share of voice, citations, sentiment) | Measure and fix whether AI crawlers can reach and read the site |
| Layer in the chain | The output: what assistants already say | The cause underneath: whether the page is machine readable |
| Core method | Runs recurring prompts across AI assistants and logs results | Fetches raw HTML vs rendered browser, diffs them, scores readability |
| Metrics | Visibility, share of voice, position, sentiment, cited sources, competitor benchmarking | Prose Parity, Access, Retrievability, Structure, Schema, into a 0 to 100 score |
| Fixing | Reports findings; content and technical fixes are the user's to act on | Includes remediation via Deep Audit, Fix Sprint, and monitoring |
| Brand-mention tracking | Yes, this is the core product | No, not a mention-tracking tool |
When Peec AI is the better fit
Choose Peec AI when your main question is how your brand currently shows up in AI answers: whether assistants mention you, how your share of voice compares to competitors, which sources they cite, and how sentiment and position shift over time. It is well suited to marketing teams and agencies that want recurring, multi-country visibility reporting across several assistants and value competitor benchmarking. If you need ongoing monitoring of AI answer output rather than technical remediation, Peec AI is the better fit.
When Lantad is the better fit
Choose Lantad when the question is whether AI crawlers can read your site at all. If your pages depend on JavaScript, your robots.txt blocks specific AI crawlers, or your content is not present in the raw HTML that crawlers fetch, a monitoring tool can show low visibility without explaining the cause. Lantad diagnoses that readability gap and helps fix it. Many teams use both: Lantad to make pages readable and citable, a monitoring tool like Peec AI to watch how AI answers change afterward.
Common questions
- Is Lantad a competitor to Peec AI?
- They overlap in the AI search space but do different jobs. Peec AI monitors what AI assistants say about a brand. Lantad measures and fixes whether AI crawlers can read the site underneath. They are complementary, and some teams run both.
- Does Lantad track brand mentions or share of voice like Peec AI?
- No. Lantad does not track mentions, sentiment, or share of voice across assistants. It focuses on machine readability: whether AI crawlers can reach and parse your pages, scored from 0 to 100, plus remediation. For mention and share-of-voice tracking, a monitoring tool like Peec AI is the right choice.
- Can I use both Peec AI and Lantad together?
- Yes, and they fit naturally together. Lantad addresses whether a page is readable and citable in the first place, which is upstream of everything a monitor measures. Peec AI then tracks how AI answers reference your brand over time. Fixing readability first gives monitoring something to measure.
See what AI can read on your site
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