Compare / Lantad vs Otterly.AI
Lantad vs Otterly.AI
Otterly.AI tracks what AI engines already say about your brand; Lantad measures and fixes whether AI crawlers can read your site in the first place.
Otterly.AI and Lantad both sit in the AI-visibility space, but they work on different layers. Otterly.AI is an AI search monitoring platform: it watches how your brand shows up inside AI answers across engines its site lists as ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude, tracking mentions, citations, share of voice, and sentiment over time.
Lantad works one layer upstream. It measures whether AI crawlers can reach and parse your pages at all, then fixes what it finds. The two are complementary. If you want to know what AI is saying about you, Otterly.AI is built for that. If you want to know whether AI can read your pages well enough to cite them accurately, that is Lantad's job.
What Otterly.AI does
Otterly.AI is an AI search monitoring tool. Its core job is tracking brand visibility inside AI-generated answers: how often a brand is mentioned, which domains and pages get cited as sources, how it compares to competitors (share of voice), and the sentiment of those mentions. Its site lists engine coverage of ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Microsoft Copilot, and Claude (some third-party reviews describe Claude, Gemini, or AI Mode as add-ons, so tier packaging may vary and can change). It supports many countries and languages, and adds prompt research, reporting, CSV export, a Looker Studio connector, an API, and an MCP server. It also ships supporting technical features including a crawlability checker, a content audit, and agent analytics (described on its site as a closed beta) that report which AI crawlers visit a site.
What Lantad does
Lantad is an AI-visibility scanner focused on machine readability. It fetches a page the way an AI crawler does (raw HTML, no JavaScript) and again in a real browser, diffs the two, and scores whether crawlers can actually reach and read the content: Prose Parity (how much text survives without JavaScript), Access (robots.txt rules per named crawler), Retrievability, Structure, and Schema, rolled into a 0 to 100 score. It then fixes the problems it finds through a Deep Audit, a Fix Sprint, and ongoing monitoring. Lantad does not track brand mentions or sentiment across AI answers the way a monitoring tool does; its lane is the readability layer underneath, which is what any downstream citation depends on.
| Dimension | Otterly.AI | Lantad |
|---|---|---|
| Primary job | Monitor what AI engines say about a brand: mentions, citations, share of voice, sentiment | Measure and fix whether AI crawlers can reach and read a page |
| Layer | Output layer: the answers AI already generates | Machine-readability layer: raw HTML vs rendered diff, upstream of citation |
| Core method | Runs prompts across AI engines and records how the brand appears over time | Fetches page as a crawler and as a browser, diffs them, scores parity, access, retrievability, structure, schema |
| Engine coverage | Broad: site lists ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Copilot, Claude | Not an engine monitor; evaluates crawler access per named bot via robots.txt |
| Fixing | Includes crawlability check and content audit with recommendations | Full remediation workflow: Deep Audit, Fix Sprint, ongoing monitoring |
| Reporting extras | Multi-country and language, CSV export, Looker Studio, API, MCP server, agency workspaces | 0 to 100 readability score with per-check breakdown |
When Otterly.AI is the better fit
Choose Otterly.AI when your main question is what AI is saying about you. If you need to track brand mentions and citations across many AI engines, compare share of voice against competitors, watch sentiment, run prompt research, or roll all of that into client-facing reports across countries and languages, Otterly.AI is built for that job and Lantad is not. Agencies managing multiple brands and marketing teams reporting on AI-answer presence are its natural fit.
When Lantad is the better fit
Choose Lantad when you need to know whether AI can read your pages at all, and fix it. If a monitoring tool shows you are absent from AI answers and you want to find out why, Lantad diagnoses the cause at the source: content that only renders in JavaScript, robots.txt blocking a specific crawler, thin or missing structure and schema, poor retrievability. It measures those precisely and remediates them. Many teams use both: Lantad to make pages readable, a monitor like Otterly.AI to watch what happens in the answers afterward.
Common questions
- Is Lantad an alternative to Otterly.AI?
- Not exactly. Otterly.AI monitors what AI engines say about your brand. Lantad measures and fixes whether AI crawlers can read your pages. They address different layers and are often used together rather than as substitutes.
- Does Lantad track brand mentions or share of voice across AI answers?
- No. Lantad does not track mentions, citations, or sentiment across AI engines. That is what a monitoring tool like Otterly.AI does. Lantad focuses on the machine-readability layer underneath: whether crawlers can reach and parse your content.
- Doesn't Otterly.AI also check crawlability?
- Yes. Otterly.AI's site lists a crawlability checker and a content audit as supporting features alongside its monitoring. Lantad's whole product is that readability layer, going deeper with a raw-versus-rendered diff, per-crawler robots.txt analysis, parity and structure scoring, and a fix workflow.
See what AI can read on your site
Lantad measures and fixes whether AI crawlers can read you. Run a free scan and see for yourself, no signup.