Recommendability
How the business gets described before a buyer lands on the page.
We check whether the service, market, and trust signals are clear enough for summaries and recommendation surfaces to repeat cleanly.
Harper Relay / AI Visibility Audit
Know what the market can repeat.
Harper Relay turns visibility checks into a business-at-a-glance operating read: what the offer says, what proof still holds, which pages deserve follow-up, and where a human should step in before trust leaks out.
Owner leverage
The audit is not another content project. It spots stale proof, vague positioning, and broken next steps so the right person can repair the highest-leverage gap first.
repeatable offer language
freshness gaps visible
handoff risk routed
manual boundaries clear
Best fit right now: owner-led businesses that need the offer, proof, route, and next action clear enough for a human or system to move without another context chase.
Visibility audit
Trust breaks become ranked repairs.
offer claritylive
proof freshnesslive
route confidencelive
next action risklive
Glance state
14
ranked moves
01
nudge
02
report
03
launcher
Offer clarity
Proof freshness
Next action risk
Snapshot output
What AI and buyers can safely repeat
Which proof looks stale or too thin
Where the handoff should route next
What still needs a human decision
What The Audit Reads
Find the trust gap before it becomes owner work.
The audit turns offer clarity, proof freshness, and next-action risk into an operating read the team can route without another dashboard to babysit.
Freshness
Whether reviews, proof, and local cues still feel current.
A stale proof stack makes a decent business look risky. The optimizer keeps dates and recency attached to the read.
Answer-first pages
Whether the page actually resolves the question it attracts.
If the page hedges, over-explains, or buries the service answer, the optimizer flags it before more content gets layered on top.
Conversion handoff
Where interest stalls before the call, form, or booked review.
The optimizer does not stop at visibility theory. It checks whether the next step stays obvious once trust is earned.
Operating Flow
Route the read into the next human action.
The output should make the next repair obvious: who owns it, what context matters, and which promise needs cleanup first.
Read the live surface
The optimizer looks at the page the way a buyer or answer engine experiences it first, not the way an internal team explains it later.
Rank the gaps
Issues are ordered by trust damage, clarity loss, and how quickly they can be fixed without overstating certainty.
Return a usable queue
You get a short action board, not a decorative AI score. Each row names the issue, the risk, and the first move.
Choose the next lane
Keep it as an audit, move into implementation, or route it into the business generator if there is no real site yet.
Operating Queue
Turn the read into work someone can actually route.
The audit should return a short operating queue: what is stale, what is unclear, what blocks the next action, and who should handle the repair before it becomes another owner-only task.
Sample ranked queue
AI Visibility Audit
proof / clarity / handoff
01
Review freshness looks frozen on the highest-intent pages.
First move: Bring recent review proof and service outcomes into the first viewport of the strongest service pages.
Business risk
Trust loss before the buyer ever compares providers.
02
Answer-first language is weak, so summaries flatten the offer.
First move: Rewrite the opening answer so the service, market, and next step are obvious immediately.
Business risk
The business gets described like every generic local competitor.
03
Conversion handoff breaks after the trust section.
First move: Match each priority page to one explicit next step with scope, timeframe, and operator expectation visible.
Business risk
Traffic arrives informed but stalls before calling or requesting help.
The sample queue shows how visibility becomes routed work: stale proof, unclear offers, and handoff breaks become a ranked owner-safe action list.
captured quick read / ranked queue verified manually
Verified Inputs
current service answer and market signal
review freshness and proof visibility
opening-page clarity and CTA path
mismatch between trust, proof, and reply path
Boundaries
guaranteed ranking claims
decorative AI dashboard scoring
invented lead-volume promises
proof blocks that do not exist in the live experience