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AI recommendations: from problem to step-by-step in one click

Every audit tool is good at one thing: pointing the finger. "Missing H1 here", "duplicate title there", "no meta description over here". The report fills up with problems — and then the real work begins: figuring out how to fix each one.

That's the bottleneck AI recommendations remove. Next to every prioritized issue there's a button. Click it and you get an actionable step-by-step, specific to your case — not a generic textbook definition.

Problem detected Missing H1 · 42 pages ✨ AI recommendations AI recommendations 1. Find <h1> in the theme 2. One H1 per page 3. Describe the main topic 4. Re-test in SEOWrench
The rule-based engine finds and prioritizes the problem; the AI hands you the step-by-step fix — factoring in your site's technology.

How it works (and why you can trust it)

The audit itself uses no AI — it's our own rules engine with 20+ checks per page. That's deliberate: accurate, cheap detection doesn't need AI. The AI only kicks in on the last, most tedious step: turning "what's wrong" into "what to do now", tailored to your context (if we detect WordPress, the plan talks WordPress).

The plan comes in your report's language, in short actionable steps — and it always points you back to SEOWrench to re-check the fix.

Not generic: it reads your page

Opened on a single URL's detail, the step-by-step stops being theoretical. The AI reads the actual content of that address — your title, your meta description — and hands back something ready to paste. For a title that's the wrong length, instead of "shorten the title" you get:

Current: "Advanced Online Excel Course with Recognized Certificate for Companies" (70 characters)

Suggestions: 1) "Advanced Online Excel Course + Certificate" · 2) "Advanced Excel: recognized certificate"

You leave with the copy in hand, not a task to research later.

The whole page, summarized

And when a URL has several issues? Instead of opening them one by one, AI page analysis reads all of that page's signals and returns an overview + a prioritized plan: what to tackle first and why. The read of someone who already understood the whole page — in one click.

✨ AI PAGE ANALYSIS Overview Good score (78/100), but the page has no meta description and its heading hierarchy is out of order — easy wins to gain more traffic. Start here 1. Add the meta description — sums up the page and boosts clicks in Google. 2. Fix the heading hierarchy (H1→H2→H3) — helps reading and indexing. 3. Shorten the title to ~60 characters — avoids truncation in search. 35 AI credits left this month
Example of "AI page analysis" (sample data, no real site): an overview and a prioritized plan — most impactful first.

Built to stay cheap

Same philosophy as always: use AI only where it adds value, and in the leanest way.

  • Smart cache: the same kind of issue on the same kind of site reuses the answer. In practice most clicks are instant and cost nothing.
  • Monthly credits: the Pro plan includes 50 AI credits/month; Agency, 500. A recommendation costs 1 credit; the personalized-per-page one, 2; the whole-page analysis, 3. Cache doesn't spend anything.
  • Always honest: if the AI is unavailable you still get the baseline recommendation — nothing breaks.

Finding isn't enough

A list of problems is the start, not the deliverable. The value is in leaving the audit knowing exactly what to do — and doing it. That's what AI recommendations are for: less time decoding the problem, more time fixing it.

Run an audit, open the "Start here" section, and click AI recommendations on the first issue. From diagnosis to step-by-step, in one click.

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