Lagotto Meter

Measure the gap between what your site claims and what an AI agent actually finds

Free· Free (currently in public beta)Evaluation

Best for

SEO consultants, editorial teams and site owners who want to audit whether an AI agent can actually verify the claims their landing pages and articles make.

Skip if

Enterprises needing bulk auditing, API access, historical tracking, or a documented, model-versioned scoring rubric they can defend to stakeholders.

Lagotto Meter is a website evaluation tool from Lake8 that scores the 'semantic truth' of a page as perceived by an AI agent. Rather than counting keywords or backlinks, it crawls the URL the way an LLM-driven agent would, extracts the explicit and implicit claims the page makes about itself, and then measures the delta between those declarations and the evidence an agent can actually verify from the page and its public footprint. The result is a readability-and-honesty score aimed at the emerging world of AI-mediated discovery, where models like ChatGPT, Perplexity, Claude and Google's AI Overviews summarise a site before a human ever visits it.

The tool is designed for site owners, SEO consultants and content teams who want to know how their pages read to a machine that is trained to distrust unsupported superlatives. It penalises what the authors call 'demagogia and self-referentiality' — vague marketing prose, unsourced claims, circular internal citations — and rewards pages that back their assertions with links, data, named authorship, and independently verifiable references. The methodology is deliberately transparent: Lake8 says the checks use public, replicable signals so a user can re-run the same tests by hand.

Typical workflow: paste a URL, wait for the agent-style crawl to complete, and read a point-by-point report that lists each claim the page makes, whether the agent could substantiate it, and where the gaps are. Teams then use that report as an editorial checklist — adding citations, trimming puffery, or restructuring pages so the load-bearing statements are the ones an AI reranker will surface. The interface is multilingual (Italian, English, German, Spanish), reflecting a European audience, and no signup is required for the beta.

Editor's take

A refreshing take on the 'how do LLMs see my site' question — instead of yet another AI-visibility scoreboard, Lagotto Meter tries to catch pages that overclaim relative to their own evidence. The rubric is under-documented and the beta is bare-bones, but the framing is exactly right for the AI-search era, and it's free to try on a page you're not sure holds up.

— The AI Tool Bible editorial team

Pros

✅ Novel angle: scores pages the way an LLM agent would read them, not the way a legacy SEO crawler would
✅ Explicitly penalises unsupported marketing claims — useful counter-signal to keyword-stuffed content
✅ Methodology is described as transparent and replicable using public tools
✅ Free to use during the beta with no signup gate
✅ Multilingual interface (IT / EN / DE / ES) suits European content teams
✅ Fits neatly into an editorial QA loop alongside factuality and citation checks

Cons

⚠️ Public beta — scoring rubric and underlying model are not fully documented
⚠️ No published API, bulk upload, or dashboard for tracking multiple URLs over time
⚠️ Small independent project from Lake8; longevity and support cadence are unproven
⚠️ Single-page focus; does not evaluate site-wide entity or knowledge-graph consistency
⚠️ Results depend on which model/agent Lake8 chose under the hood, and that choice is opaque

Use cases

AI-visibility audit of a landing pageFact-vs-claim gap analysis for marketing copyEditorial QA before publishing a cornerstone articleDetecting self-referential or circular citationsPre-flight check for pages targeting AI OverviewsRewriting product pages to satisfy LLM rerankers