Website Audit AI: What Our Synthetic Experts Check For

A website audit is one of those tasks everyone knows they should do regularly and almost nobody does, because it takes a specialist and a few hours to do properly. Website audit AI is meant to lower that barrier — not by scanning your site with a generic crawler, but by having a CV-grounded expert reason through it the way a specialist would.

The SEO/UX/conversion checklist

The website audit is one of the three deliverable types on Cultivaition, alongside the PRD draft and the architecture diagram, and it's built around three overlapping lenses:

• SEO fundamentals — title tags and meta descriptions matching actual search intent, heading structure that reflects real content hierarchy, obvious technical issues like duplicate or missing metadata, and whether the page is actually targeting a keyword a real visitor would search.
• UX friction — navigation that makes sense to someone who has never seen the site before, mobile layout problems, forms with too many fields, and pages where the primary action isn't visually obvious within the first screen.
• Conversion clarity — whether the page states what the visitor gets and what it costs before asking for an email or a signup, whether trust signals exist near the point of decision, and whether the call to action matches the stage of intent the traffic is likely at.

The expert running this audit is grounded through the same 5-layer pipeline as every other expert on the platform: a core CV giving it a specific professional background, extracted skills relevant to audits and conversion work, behavioural rules for how directly it flags problems, live web research grounding so its SEO judgment reflects current practice rather than outdated rules of thumb, and tool bindings that let it actually generate the audit document instead of just discussing it.

The audit is a draft for your team to review and prioritise, not a certified report. Cultivaition doesn't guarantee human-consultant-level accuracy on any deliverable, and the point is to give you a fast, honest starting point rather than a final verdict.

A sample audit deliverable

Here's a shortened example of what one finding inside a generated audit might look like, for a hypothetical SaaS landing page:

• Finding: The hero section leads with the company name and a tagline about "empowering teams," but doesn't state what the product does or who it's for within the first screen.
• Why it matters: A visitor arriving from a search result or an ad has to scroll to understand the offer, which increases bounce before the value proposition is even read.
• Suggested fix: Replace the tagline with a specific sentence naming the user and the outcome, and move the current tagline into a supporting subheading.
• Related SEO note: The page's title tag currently repeats the tagline rather than describing the product category, which likely limits how it ranks for the terms visitors are actually searching.

A full audit works through the page or pages you specify section by section like this, grouping findings by SEO, UX, and conversion, so you can hand the SEO items to whoever manages search and the UX items to a designer without re-sorting the document yourself.

The shareable public URL feature

Once the audit is generated, it can be shared through a public shareable URL rather than exported as a file or copy-pasted into a doc. That's useful in practice because an audit is rarely just for the person who requested it — it usually needs to go to a designer, a developer, or a client, and a link is faster to circulate than a PDF that goes stale the moment someone re-runs the audit.

This also fits into how Cultivaition is priced. Generating the audit deliverable costs 8 tokens, the same as a PRD draft or an architecture diagram, and sharing the resulting link doesn't cost anything further. On Explorer, free forever with 50 tokens, that's enough to audit a handful of pages before deciding whether it's worth paying for more volume. If you need it regularly, Solo is 19 USD per month for 3000 tokens, Team is 79 USD per month for 15000 tokens, and Studio is 249 USD per month for 60000 tokens — all currently waitlist-only, since checkout for paid plans hasn't launched yet.

If a finding raises a question you want a second opinion on — say, whether a UX suggestion conflicts with a brand guideline — you can take it into a chat with the same expert for 1 token per message, or open a Society Room with a design-focused expert for 4 tokens a round to argue it out before you commit engineering time to the fix.

It's worth being upfront about the boundary here too. The audit won't run a full technical crawl of a large site with thousands of pages, and it won't replace an analytics review of your actual traffic and conversion data — those require different tooling entirely. What it's good for is a fast, structured first pass on a specific page or small set of pages, the kind of review that otherwise sits on a to-do list for months because nobody has a spare afternoon to do it properly.

The test for whether website audit AI is the right tool is similar to any other draft-quality output: use it when you need a fast, honest first pass and don't yet have budget for a specialist, and treat a clean result as a reason to look closer rather than a reason to stop looking. A page that passes every check in an automated audit can still fail with real users for reasons no checklist captures.