Lantad versus 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.
Lantad and Peec AI answer different questions about AI search. 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. The table below sets the two side by side, dimension by dimension, and the section after it names the cases where Peec AI is the better tool.
Competitor claims on this page come from Peec AI's own published material, last checked on July 2026. Lantad's own figures are read from the configuration the product enforces.
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.
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.
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. Lantad also runs a narrower answer-side surface called prompt tracking, which asks up to 8 answer engines (official APIs, an open-weight chain, and Google AI Overviews via public-SERP capture) questions derived from your own page and reports naming, the other brand names those answers produced, a share of the names produced, cited source hosts, and a sentiment signal that is model-graded on paid plans with a labelled word-list fallback. It does not monitor consumer assistants over time across regions and languages against a competitor roster you configure.
Side by side
Rows are the dimensions the two tools actually differ on. A cell that states Yes, No or Partly carries that word as a chip with the vendor's own qualifier beside it; every other cell is quoted as prose, because a chip that decides a capability the vendor never claimed would be a claim we cannot defend.
| 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 | Narrower: naming, rival names extracted from the answers, a share of the names produced, cited hosts, and sentiment (model-graded on paid plans, labelled word-list otherwise), on API and open-weight engines |
Where Peec AI is better
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.
Where Lantad is better
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.
How Lantad works
Four steps, run on every scan, free or paid.
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Fetch as a crawler
One request for the raw HTML, no JavaScript, the way an AI crawler takes the page.
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Render in a browser
The same URL again in a real browser, so the rendered page can be compared with what was delivered.
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Compare the two
Diff the two documents and count the words, headings, links and structured data that only exist after JavaScript.
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Grade and rank
Score access, Prose Parity, structure and schema, then rank the fixes by what moves the score most.
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?
Narrowly, yes, and it is a different thing. Lantad's prompt tracking reports whether an answer named you, which other brand names it produced, a share of the names produced, the source hosts a citing engine returned, and sentiment that is model-graded on paid plans with a labelled word-list fallback, across up to 8 API and open-weight engines. The rival names are extracted from the answers, and there is no region or language dimension. Since August 2026 paid accounts can pin a competitor roster so chosen rivals stay listed even at zero mentions, but that is persistence on Lantad's own runs, not configured multi-country benchmarking. Its main focus is machine readability: whether AI crawlers can reach and parse your pages, scored from 0 to 100, plus remediation. For configured competitor benchmarking and multi-country share-of-voice tracking over time, 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.
How current are the claims about Peec AI on this page?
They were last checked against Peec AI's own published material on July 2026. Features and pricing change, so confirm anything decision-critical with Peec AI directly.