Articles · AI Readiness score

Stop guessing what to fix: price every improvement in points.

Every audit hands you a to-do list. Almost none tells you what each item is worth. Simulate the fix, re-score the site, and suddenly the list ranks itself.

Colleagues choosing one high-impact improvement from a spread of cards Prioritization isn't a meeting. It's arithmetic, if your advice comes with numbers.

You've seen the audit deliverable: forty-one recommendations, alphabetized, all apparently urgent. Add alt text. Publish more content. Complete your profiles. Fix your markup. Each one defensible; the list as a whole, useless, because a list without magnitudes is a mood, not a plan.

The question a business owner actually has is brutally simple: if I only have one hour this week, what do I do with it? Answering that requires knowing what each fix is worth. Most tools can't say, because their recommendations come from a rulebook, not from a measurement.

The trick: simulate, then re-score

A deterministic score makes a better kind of advice possible. Because AI Readiness is pure arithmetic over stored signals, the platform can ask a counterfactual: what would the score be if this one thing were fixed? Pretend the three unpublished service pages went live, re-run the math, and the score says 71 instead of 62. That fix is worth nine points. Not "high priority." Nine points.

Run that simulation for every candidate fix and the to-do list turns into a priced menu:

1Publish schema for 3 service pages+9 pts
2Add your two dentists as Person entities+6 pts
3Complete the profile: hours & social links+4 pts
4Mark the FAQ page so it yields Q&A markup+3 pts
5Publish schema for the blog archive+1 pt

The AI Report tab's advice list: every fix priced by simulating it and re-scoring. The order is the plan.

Why priced advice changes behavior

It kills debate. "Should we do entities or the blog archive first?" stops being a discussion when one is +6 and the other is +1. The numbers aren't an opinion; they're the same scoring code that produced your current number, run on a hypothetical.

It exposes low-value busywork. Some classic audit items barely move the needle for machine readability. Seeing "+1 point" next to a task you dreaded is permission to skip it this quarter, and confidence you skipped the right thing.

It makes progress legible. Do the +9, watch the score become exactly what the simulation promised. That closed loop (promised delta, delivered delta) is what makes people trust a metric enough to keep acting on it.

And most of the menu, the platform cooks itself

Here's the part that separates a readiness score from a readiness product: on AnvixaAI, most priced fixes are one click from done, because the platform does the work. Unpublished pages? Automatic setup generates and publishes them. Missing entities? They're already proposed in the Entities tab, waiting for your save. The advice list isn't homework it assigns you. It's mostly a menu of things it's offering to do.

The short version
  • Advice without magnitudes is a mood, not a plan
  • A deterministic score lets you simulate any fix and measure its exact worth
  • Priced fixes rank themselves: do the +9 before the +2, skip the +1 guilt-free
  • On AnvixaAI most fixes are one click, because the platform executes them itself
The feature behind this article AI Readiness score A 0–100 with every fix priced in points: simulated, ranked, and mostly one click from done.

See your priced fix list.

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