The audience is implied
The page does not clearly tell a first-time visitor, 'Is this for me?'
Auspia Page Audit
Auspia Page Audit is an AI-driven platform that scrutinizes the fine details of your landing page to help you convert better.
Why visitors still hesitate
A landing page can feel obvious to the team that built it and still leave a new visitor guessing. The diagnostic looks for the missing audience cue, buried value, or weak action path before you rewrite another line.
The page does not clearly tell a first-time visitor, 'Is this for me?'
The page may list features, but the first screen does not make the outcome clear.
The CTA, proof, and story do not form one path toward a confident action.
What the report answers
The useful part is not a generic score. It is knowing what came from the page, what a visitor may infer, and which change is worth testing next.
01
Quoted page copy and observable page facts, connected to the source evidence.
02
Inferences, assumptions, and missing evidence kept separate so you can review the reasoning.
03
No more than two evidence-backed experiments, not a generic rewrite checklist.
The diagnostic path
01
Capture the visible copy, calls to action, structure, and public links.
02
Check whether the message, proof, and action path hold on a small screen.
03
Keep page evidence distinct from visitor inference, assumptions, and missing proof.
04
Choose the focused change most worth learning from after launch.
See the report before you run it
The report lays out the page fact, the inference a visitor may draw, and the next test to run — in one view.
Page fact
The hero names the product, but not the audience.
What it suggests
A new visitor may understand the category but not their reason to continue.
Next test
Rewrite the hero around one audience and one outcome.
Trust and boundaries
The report makes uncertainty easier to review. It is a starting point for a responsible page decision, not a replacement for customer research, analytics, or human review.
User feedback
Reviews from teams who used the diagnostic to turn a vague concern about a landing page into one focused change worth testing.
“I stopped debating whether the hero felt clear. The report gave me a page quote, a risk, and one change to test.”
Early-stage SaaS founder“The mobile capture caught the proof gap we had missed in our usual page review. We had a clear starting point for the next content review.”
Product marketer“I could separate what the page actually says from what I assumed visitors understood, then choose a focused experiment.”
Conversion consultant“The evidence links made the review easier to share. We could point to the same sentence instead of arguing from taste.”
SEO lead“It gave our design review a sharper question: what should a new visitor understand before they see the second section?”
Independent designer“The report did not pretend to know our conversion rate. It showed what we could verify and what we should test next.”
Growth manager“We used the page facts as the starting point for a copy handoff. The next change was smaller and easier to review.”
Startup operator“The mobile reading exposed a message gap we had missed in our usual browser review.”
Content strategist“The best part was the restraint: two experiments, clear signals, and no giant rewrite list to sort through.”
Product founderQuestions before you start
It reviews a public page's mobile message, audience cues, calls to action, trust signals, friction, and supporting links.
No. The diagnostic reads publicly reachable HTTP or HTTPS pages only and does not access private, gated, or login-only content.
Yes. AI-assisted conclusions organize collected page evidence into a reviewable diagnosis, while keeping source facts, assumptions, and uncertainty visible.
No. It identifies the message risk and prioritizes the next test; your team decides the final copy and reviews it before publishing.
Ready to review another page?
Bring one public URL and get the evidence, uncertainty, and next action in one place.