landing page optimization

Use audit findings to refactor a React landing page hero

Pair a rendered-page audit with a tightly scoped Claude Code prompt to improve a React hero without turning a focused fix into a full rewrite.

By Emile Rousseau·October 22, 2026·4 min read
What matters here
  1. A page audit identifies visible UX problems; it does not identify the React component that caused them.
  2. Give Claude Code one verified finding and explicit constraints to keep a hero refactor narrow.
  3. Rescanning can check the rendered change, but conversion claims still need analytics or an experiment.

A React landing page can look polished in a code review and still leave a first-time visitor unsure what the product does or what a button will do. The fix is not necessarily a redesign. Often it is a small hero refactor: make the outcome clearer, keep the primary action, and remove distractions around it.

For frontend engineers, the hard part is deciding what to change without handing a coding agent a vague request like “improve conversion.” PageWisr can help define the problem. It analyzes a page as rendered in a browser, checks desktop and phone views, and ties findings to elements on the page. Its report distinguishes observed findings from inferred ones and includes recommended fixes with prompts for coding agents, including Claude.

That audit does not tell you which React component to edit. Treat it as evidence about the visitor-facing result, then use your knowledge of the codebase to make a targeted change.

Start with one finding, not a rewrite

Consider a hypothetical React SaaS page where the audit flags a vague hero headline and a generic primary button. Those are separate issues, but they sit in the same decision area. Begin with the finding that most directly blocks understanding. Check the page yourself: does the headline describe a customer outcome, and does the button make the next step clear?

PageWisr’s first website scan is free. Before acting on a report, inspect the finding and its evidence. An observed issue, such as what a button says, is different from an inferred concern, such as whether the page feels too similar to competitors. Don’t treat an inference as a fact about visitor behavior.

If the main problem is feature-first or unclear copy, this earlier guide on rewriting a vague hero headline with an evidence-led prompt offers useful context. The same principle applies to React work: ground the change in what the page actually promises and what proof it provides.

Give Claude Code a bounded task

Find the relevant hero component in your repository. Then give Claude Code the audit finding, the existing offer, and clear limits. Don’t ask it to invent customer benefits, add testimonials, or reorganize the whole page. A prompt can be as simple as this:

“Refactor only the React hero section shown below. Finding: [paste the verified audit finding]. Current offer: [describe what the product actually provides]. Make the headline state a specific customer outcome supported by that offer. Make the primary button say what happens next. Keep the current layout, styling approach, responsive behavior, and existing links. Do not add claims, proof, dependencies, or a second primary CTA. Show the proposed code change and note any assumptions.”

The prompt is intentionally narrow. It gives the model context and constraints, but leaves the engineer responsible for choosing the component and reviewing the code. PageWisr’s prompts are designed to be pasted into coding agents; that does not mean the audit knows your component structure or that a generated change will fit your application.

Review the diff and the rendered page

  1. Check the wording. Confirm that the headline and button describe the real offer and next step. Reject language that adds unsupported outcomes or implies a feature the product does not have.

  2. Keep the diff focused. Inspect whether the change stayed inside the intended hero. Watch for unnecessary dependency changes, broad style edits, altered navigation, or a new call to action that competes with the primary one.

  3. Check desktop and mobile. Run the app and inspect the rendered page at both sizes. A shorter headline can still wrap badly, and a button that is clear on desktop can become crowded on a phone. Also confirm that the interaction still leads to the expected destination.

  4. Compare the live result. Once the change is deployed, scan the page again. PageWisr says a follow-up scan can show whether the score moved; use the report to check the specific issue, not just the overall number.

Know what the scan cannot prove

A cleaner hero is not proof of higher conversion. A report can identify page-level issues and show measured signals from its render, but a score change does not establish that more visitors signed up. Use your analytics to monitor the relevant action, and use a controlled test if you need evidence that the change caused a difference.

There is a trade-off in this workflow. A narrow prompt is faster to review and less likely to disturb working layout, but it may leave deeper component or design-system problems untouched. A broader refactor can address those problems, yet it increases the review burden and makes it harder to know which change mattered. Start with one finding, ship the smallest defensible fix, and widen the work only when the code or the rendered page gives you a reason.

That is a practical use for a landing page audit in a React workflow: PageWisr helps name and locate a visitor-facing problem; Claude Code can help implement a constrained code change; and the engineer verifies the result in the app. Keep those roles distinct, and a hero cleanup is less likely to become an unbounded rewrite.

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