Public Sitepeep Audit
A full-funnel conversion audit of Lovable's website and signup experience. Every friction point named, prioritised, and backed by behavioural psychology.
Diagnosis
The H1 ("Build software with AI") describes what Lovable does, not what the buyer gets. A Seed-stage founder scanning the page has to decode the capability into a personal outcome. Most won't bother — they'll pattern-match it as "another AI tool" and bounce.
The subheading compounds this by listing technical features (full-stack, backend, auth) rather than addressing the buyer's internal monologue: "I need to ship a working product without hiring a dev team."
Recommendation
Rewrite the H1 to mirror the buyer's pain, not the product's capability. Example direction: "Ship your product without hiring a dev team." Follow with a subhead that names the speed and cost advantage over the alternative (freelance developers, agencies).
Principle: Hero Statement Must Reflect Customer Belief, Not Product Claim — the buyer should recognise their own thinking in the first line they read.
Diagnosis
The hero area contains zero trust signals. No user count, no logo strip, no credential, no testimonial fragment. A first-time visitor has to scroll past the fold before they encounter any evidence that other humans use this product. For an AI tool — a category where trust is fragile — this is a significant conversion leak.
Recommendation
Add one trust signal adjacent to the hero CTA. Options: user count ("Join 50,000+ builders"), a 3-logo strip of recognisable companies, or a single attributed testimonial pull-quote. One signal is enough — the goal is to reduce the "is this real?" hesitation before the first click.
Principle: Social Proof — humans look for evidence of peer behaviour before committing to an unfamiliar action.
Diagnosis
Three pricing tiers sit side by side with no reference point. The buyer's mental question — "Is $25/mo expensive or cheap?" — goes unanswered because nothing contextualises the price. The buyer's actual alternative isn't another AI tool; it's hiring a freelance developer at $100–150/hr or an agency at $10k+/month. Without that anchor, the pricing feels abstract.
Recommendation
Add a comparison anchor above the pricing grid: "vs. hiring a freelance developer at $150/hr." This reframes $25/mo as a fraction of the real alternative and activates the Default Effect — the first number the buyer sees becomes their reference point.
Principle: Default Effect — the first number a buyer encounters sets the reference frame for every number that follows.
Diagnosis
The pricing comparison lists 20+ features across tiers. Buyers scanning this table experience choice overload — they can't quickly determine which tier fits their stage. The table answers "what's in each tier" when the buyer's real question is "which one is right for me right now?"
Recommendation
Reduce the comparison to 5–7 differentiating features. Add a one-line recommendation per tier: "Best for solo builders," "Best for teams shipping production apps." Use visual emphasis on the recommended tier (the one most buyers should pick).
Principle: Hick's Law — decision time increases logarithmically with the number of options. Fewer visible differences = faster tier selection.
Diagnosis
After signing up, the user sees an empty project screen with no guidance. The aha moment — seeing AI generate a working app from a description — requires the user to know what to type. Most first-time users face a blank text field and freeze. The gap between signup and aha is where the funnel bleeds hardest.
Recommendation
Pre-populate the first experience with a guided prompt. Show "Describe what you want to build" with 3 clickable example templates ("A landing page for my SaaS," "A dashboard with user auth," "A simple CRM"). One click should trigger the AI generation and deliver the aha moment in under 60 seconds.
Principle: Zero State Design — the first screen after commitment must never be a blank canvas. Pre-populate with a path to the aha moment.
This found 12 leaks in Lovable's funnel. Sitepeep finds every leak across your whole funnel, with behavioural science backing each one, a prioritised roadmap, and success metrics.