Lantad versus Profound
Profound tracks what AI assistants say about your brand across many engines; Lantad tests and fixes whether AI crawlers can read your pages in the first place.
Lantad and Profound answer different questions about AI search. Profound tracks what AI assistants say about your brand across many engines; Lantad tests and fixes whether AI crawlers can read your pages 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 Profound is the better tool.
Competitor claims on this page come from Profound's own published material, last checked on 24 July 2026. Lantad's own figures are read from the configuration the product enforces.
Choose Profound when your main question is what AI assistants are already saying about your brand and where they source it. If you need continuous monitoring of mentions, citations, sentiment and share of voice across many consumer assistants, check whether AI answers about your brand are accurate, benchmark against a competitor roster you define, tap real user prompt data, or see which AI bots are visiting your site, Profound is built for that and Lantad is not.
Choose Lantad when you need to know whether AI crawlers can actually read your pages, and fix it when they cannot. This matters most if a monitoring tool shows you are absent from AI answers and you want to find the cause: JavaScript-dependent content a crawler never sees, robots.txt rules blocking specific AI bots, missing structure or schema, or thin retrievable text.
Profound and Lantad both work in AI search, but they sit at different points in the chain. Profound is an answer engine optimization platform: it monitors what AI assistants like ChatGPT, Perplexity, Gemini, and Claude say about a brand, and reports mentions, citations, sentiment, and share of voice across those surfaces. That is a real and useful job, and Profound is well established at it.
Lantad works one layer upstream. It checks whether AI crawlers can reach and read a page at all, then scores and fixes what it finds. If a crawler cannot parse a page, nothing downstream can cite it, so the two tools answer different questions. This page lays out what each does, checked against Profound's own site and recent third-party coverage, and where each is the better fit.
What Profound does
Profound is an answer engine optimization (AEO) and generative engine optimization (GEO) platform focused on monitoring how AI assistants represent a brand. Its Answer Engine Insights product reports how often a brand appears in AI answers, which sources AI cites, sentiment (the tone of how the brand is described), and share of voice against competitors. Profound also offers FactCheck, which evaluates whether factual claims in AI answers about a brand are accurate, measured against the brand's own verified information, and shows which sources are contributing to inaccurate answers. Profound states that it captures responses from the front-end browser experiences real users see rather than from APIs, across major AI systems including ChatGPT, Perplexity, Claude, Gemini, Grok, Microsoft Copilot, Meta AI, DeepSeek, and Google AI Overviews, with multi-region and multi-language coverage. Additional products include Prompt Volumes (a dataset of real user queries to AI platforms), Agent Analytics (which monitors AI crawler and agent activity on a site from server logs and CDN data, and includes a crawlability audit), Agents for marketing and content work, Shopping, and Aim. Profound positions itself toward enterprise buyers and publishes compliance credentials including SOC 2 Type II. Pricing is tiered, ranging from an entry-level self-serve plan up to custom enterprise contracts; published tier names and figures have shifted over time and vary across third-party reports, so confirm current pricing with Profound directly.
What Lantad does
Lantad is an AI-visibility scanner focused on machine readability. It fetches a page the way an AI crawler does, as raw HTML with no JavaScript, then fetches it again in a real browser and diffs the two. From that it scores whether AI crawlers can reach and read the page across several dimensions: Prose Parity (does the crawler see the same body text a browser does), Access (what robots.txt allows per crawler), Retrievability, Structure, and Schema, rolled into a single 0 to 100 score. Beyond measuring, Lantad fixes the underlying problems through its Deep Audit, Fix Sprint, and ongoing monitoring. Lantad also runs a narrower answer-side surface called prompt tracking: it derives questions from your own page, puts them to up to 8 answer engines (5 metered API engines plus an always-on open-weight chain, a grounded engine, and since August 2026 Google AI Overviews captured from the public SERP through a vendor rather than by automating a consumer app), and reports whether each answer named you, which other brand names those answers produced, a share of the names produced, the source hosts a citing engine returned, and a sentiment signal that since August 2026 is model-graded on paid plans, with a labelled word-list fallback. Paid tiers track a fixed weekly quota of 100 to 250 prompts across ten pages. What it does not do is monitor consumer assistants over time, across regions and languages: there is no location dimension in a run. Rival names are extracted from the answers rather than supplied, and since August 2026 paying accounts can additionally pin a small competitor roster that keeps chosen rivals visible even at zero mentions; the roster persists and labels rows, it does not change how names are found. Its main lane remains the readability layer that sits underneath those outcomes.
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 | Profound | Lantad |
|---|---|---|
| Primary question answered | What are AI assistants saying about my brand right now | Can AI crawlers reach and read my pages at all |
| Core method | Captures and analyzes AI answers across engines from front-end browser experiences rather than APIs | Diffs raw crawler HTML against a rendered browser view and scores the gap |
| Brand mention and sentiment tracking | Yes mentions, citations, sentiment, share of voice, and FactCheck accuracy | Narrower: prompt tracking reports naming, rival names extracted from the answers, a share of the names produced, cited source hosts, and sentiment that is model-graded on paid plans with a labelled word-list fallback |
| AI engines monitored | Tracks representation across major engines, named on its own site as ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, and Google AI Overviews | Evaluates crawler access per bot via robots.txt; prompt tracking asks up to 8 named engines (official APIs, an open-weight chain, and Google AI Overviews via public-SERP capture), never by automating a consumer app |
| Crawler-side visibility | Agent Analytics tracks which AI bots visit a site, from server logs and CDN data, plus a crawlability audit | Diffs the raw crawler view against the rendered view for a specific page and scores readability, then fixes defects (Deep Audit, Fix Sprint, monitoring) |
| Buyer profile | Enterprise-leaning, with published compliance credentials such as SOC 2 Type II | Teams focused on making individual pages machine-readable to AI crawlers |
Where Profound is better
Choose Profound when your main question is what AI assistants are already saying about your brand and where they source it. If you need continuous monitoring of mentions, citations, sentiment and share of voice across many consumer assistants, check whether AI answers about your brand are accurate, benchmark against a competitor roster you define, tap real user prompt data, or see which AI bots are visiting your site, Profound is built for that and Lantad is not. It also fits enterprise buyers who need multi-region coverage and formal compliance credentials.
Where Lantad is better
Choose Lantad when you need to know whether AI crawlers can actually read your pages, and fix it when they cannot. This matters most if a monitoring tool shows you are absent from AI answers and you want to find the cause: JavaScript-dependent content a crawler never sees, robots.txt rules blocking specific AI bots, missing structure or schema, or thin retrievable text. Lantad diffs the raw crawler view against the rendered view for a page, scores that gap, and fixes it. Many teams run both: Lantad to make sure pages are readable, a monitoring tool like Profound to watch what AI then says.
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 an alternative to Profound?
Not a direct one. They solve different problems. Profound monitors what AI assistants say about your brand across engines. Lantad tests and fixes whether AI crawlers can read your pages. They are complementary, and some teams use both.
Does Lantad track brand mentions or citations in AI answers?
Narrowly, yes. Lantad's prompt tracking 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 (paid tiers track 100 to 250 prompts weekly), then reports whether each 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. It does not monitor the consumer assistant apps and does not run across regions or languages. Rival names are extracted from the answer text; since August 2026 a paid account can also pin a small competitor roster so chosen rivals stay listed even at zero mentions, which is persistence on Lantad's own runs rather than monitoring. Continuous monitoring of that kind is Profound's job. Lantad's main lane stays upstream, on whether crawlers can reach and parse your pages at all.
Does Profound check if AI crawlers can read my site?
Partly. Profound's Agent Analytics monitors which AI bots visit your site using server logs and CDN data, and includes a crawlability audit. Lantad takes a different angle: it diffs the raw crawler view of a specific page against the rendered browser view, scores readability, and fixes the defects it finds.
How current are the claims about Profound on this page?
They were last checked against Profound's own published material on 24 July 2026. Features and pricing change, so confirm anything decision-critical with Profound directly.