Checking the landing page using the checklist
Describe what is on each screen. The tool will go through the checklist and tell you where the page is losing a person, in order of losses, not in order of screens.
A landing page usually loses people not because of the absence of a block, but because of the order: the price comes before the value, the form asks for contacts before the objection is closed, and the call appears once at the bottom. The tool goes through a checklist and sorts findings by losses rather than by location on the page.
AI answers are free, but limited by the overall site limit. If the limit is reached, come back later: repeated clicks will not speed up the response.
The order of screens is more important than their number
A landing page rarely fails because something is missing on it. More often than not, he loses by an order of magnitude: the price is set before the person understands the value, the form asks for contacts before the main objection is closed, and the call to action appears only once at the very bottom, where the minority reaches.
Therefore, the checklist is based on influence, and not on screens. First the hero section matches the expectation, then the clarity of the action, then the presence of the next step next to each argument. Edits in the reviews block will not save a page whose hero section promises the wrong thing.
A separate section of the answer is reserved for what cannot be verified by description. Some problems are visible only in the web viewer records or in the test, and it is more honest to name them right away than to pass off a guess as a discovery.
What the tool intentionally doesn't do
Does not insert numbers, deadlines, benchmarks and names of companies that did not exist in your input. If the output requires a number that you did not provide, in the answer will be marked “to clarify” rather than a plausible number. This limitation is worth in the system prompt and works against the main property of language models: It’s difficult to complete what’s missing.
The request text is sent to the AI provider, and the response is returned to the browser. The site does not save these texts in the database. To limit expenses separately the number of requests and the anonymized connection identifier are taken into account. If the free limit is reached, the tool will offer to come back later.