AI-powered UX audit tool for clearer website reviews

What it checks

A broad first pass across usability, clarity, and accessibility

Snap Site looks beyond visual polish. It checks whether the page communicates its purpose, makes the next action obvious, uses consistent labels, prevents avoidable mistakes, and gives visitors enough feedback to understand what is happening. It also examines visible hierarchy, form structure, trust signals, responsive layout, and accessibility cues that can create friction before a user completes the page's main task.

The review is evidence-gated. A finding must connect to a specific element or state that appears in the captured page. That keeps the output grounded in what a visitor can actually encounter instead of filling the report with generic advice that could apply to any website.

• Nielsen Norman Group's ten usability heuristics
• Visual hierarchy, content clarity, navigation, forms, and conversion cues
• Selected WCAG 2.2 A/AA checks supported by visual, content, HTML, or interaction evidence
• Desktop and mobile reflow, target size, clipping, overlap, and hidden-action risks

Workflow

From URL to prioritized findings in three steps

First, paste the public page you want to review and choose desktop, mobile, or both. If a useful state is behind a menu, cookie banner, pricing toggle, or other public interaction, add a short plain-language instruction before the capture starts.

Second, Snap Site captures the rendered page and creates a first-pass review. Findings land beside the screen with a severity, category, explanation, and precise visual anchor. Failed or blocked captures are identified as capture problems instead of being misreported as UX problems.

Third, apply your context. Edit or reject findings, add what only your team knows, share the audit, export a report, or bring the capture and annotations into the Figma plugin. The AI expands coverage; the human reviewer decides what is true and what ships.

Who it helps

Built for the moment between noticing friction and fixing it

Designers can use the audit as a heuristic-review starting point, with evidence already organized for critique. Product managers can turn visible problems into a prioritized conversation about impact and ownership. Researchers can use it to form hypotheses before moderated testing, not as a replacement for observing real users. Founders can get a structured read before a launch without pretending that one automated score settles every design decision.

Because the artifact is a captured page rather than a detached checklist, product, design, marketing, and engineering can point to the same evidence. That makes disagreements more specific: the team can debate severity or context instead of debating which version of the page someone saw.

AI and human judgment

Use AI for coverage; keep people responsible for the conclusion

AI is good at applying the same checklist patiently across a long page and spotting repeated patterns that a rushed reviewer may skip. It does not know your roadmap, audience research, business constraints, or whether a deliberate trade-off is working. That is why Snap Site labels the result as a first pass and keeps every finding editable.

A strong workflow is to let the tool surface candidates, then have a product or design owner confirm the evidence, adjust severity, combine duplicates, and decide whether the next step is a design change, an experiment, a user test, or no action. The output becomes useful when context meets coverage.

Compared with a manual review

Faster preparation, not a substitute for user research

A manual expert review can go deeper into domain context, multi-step journeys, unusual interaction states, and trade-offs that are invisible from one captured page. It also takes time to prepare screenshots, document evidence, name principles, and format the result. Snap Site automates much of that preparation so an expert can spend more time judging the findings.

For high-stakes workflows, pair the first pass with manual keyboard and screen-reader testing, analytics, customer support themes, and sessions with representative users. A heuristic review tells you where friction is plausible. Real behavior tells you how often it happens and what people do next.