Surface to inspect
Public URL, form path, missed-call route, redacted screenshot, or admin workflow note.
Free AI audit
Halo reviews the buyer journey from search result to enquiry and recommends the smallest useful build first: SEO/AEO content, lead capture, AI receptionist coverage, or automation that removes manual drag.
Audit input
The free audit is strongest when it starts with one reviewable page, route, or workflow and one commercial leak. That lets Halo return a useful first slice instead of a broad AI wishlist.
What the first pass covers
Each recommendation is designed to be source-ready, measurable, and reversible before larger retainers or live deployment decisions.
Before you send
This keeps the form lightweight while still making the first recommendation specific, measurable, and safe to review.
After the form
The free audit path now sets a tighter post-submit expectation before the buyer reaches the form: Halo will return a short decision note that names the bottleneck, the first slice, and the signal to check.
Visibility, capture, response, or admin, chosen from the submitted page, route, or workflow.
A bounded implementation recommendation that can be approved, built, and verified before a broader AI roadmap.
The before-and-after signal to watch, plus any account, deploy, or customer-data action that still needs explicit sign-off.
Approval map
The form now asks for approval authority, but this map makes the choice plain before submission so the audit reply can stay inside the right boundary.
Response timing
The audit route now tells buyers what happens after submission: Halo reads the public context first, then replies with one decision note instead of pushing straight to a broad consultation.
Evidence pack
The form should feel light, but the recommendation improves when the buyer can name the surface, the symptom, and the proof signal before submitting.
Public URL, form path, missed-call route, redacted screenshot, or admin workflow note.
Weak enquiries, unclear answer, slow reply, missed call, repeated admin, or low-confidence CTA.
The after-check that would make the first slice worth approving: visibility, capture, response, or owner time.
Audit form
This keeps the audit request on the website and asks for the same context Halo needs to return one practical first-slice recommendation.

Safe audit boundary
The free audit can start from public pages, screenshots, workflow notes, or a written symptom. It should not need passwords, customer records, account invites, or live-system changes before a first recommendation.
Start with the right problem
Visitors should not have to translate a broad AI offer into their own situation. This triage section makes the next step feel specific before the form.
Visibility route
Send the service page or target query. Halo checks answer clarity, entity signals, schema alignment, internal routes, and AI-search readability.
Best first output: one answer-ready page fix.
Prefill visibility auditConversion route
Send the page, offer, form, or CTA path. Halo reviews hierarchy, proof, friction, mobile action clarity, and follow-up handoff.
Best first output: one sharper enquiry path.
Prefill conversion auditResponse route
Send the missed-call or enquiry workflow. Halo maps qualification, summary, routing, and the smallest useful automation handoff.
Best first output: one receptionist or triage route.
Prefill response auditAdmin route
Send the repeat admin step, handoff, spreadsheet, or inbox workflow. Halo checks what can be simplified before larger automation is approved.
Best first output: one repeatable admin handoff.
Prefill admin auditBest use of the free audit
This sets a clearer expectation before the CTA: the audit is for a real page, service, enquiry route, or workflow that can be improved, not a generic AI brainstorming request.
Strong fit
Weak fit
How the audit works
The audit page now explains what to send, what Halo checks, and what the buyer gets back, so the CTA does not feel like a vague contact form.
Start with the service page, enquiry route, missed-call problem, or admin process that should be producing more value.
Visibility, answer clarity, CTA hierarchy, form friction, reply speed, schema, crawl context, and automation fit are reviewed together.
The output is a focused first implementation recommendation, not a broad AI roadmap or a retainer pitch.
What you get back
The audit now sets a clearer expectation for the response, reducing uncertainty before the buyer opens the form CTA.
The page, form, follow-up, or answer-engine gap most likely to affect qualified enquiries first.
A small source-ready recommendation that can be built, checked, and reviewed before larger commitments.
What to measure, what not to claim yet, and which deploy or account actions still need explicit approval.
Response expectation
This keeps the free audit grounded: Halo replies with one decision-ready note, then only scopes paid work if there is a concrete first slice worth shipping.
What to include
Buyers should not need to prepare a long brief. These prompts make the first step low-friction while still giving Halo enough context to recommend the right slice.
Form-ready brief
The form route includes a structured prompt, so buyers are not dropped into a blank form and Halo gets the context needed for a sharper first recommendation.
Website or page to review:
The enquiry I want more of:
What feels weak right now: SEO / AEO / CTA / form / follow-up / missed calls / admin workflow
Any context that would help:
Open Audit FormCommon questions
These visible answers match the page FAQ schema, keeping the buyer experience and answer-engine context aligned.
Send one website, service page, enquiry route, missed-call problem, or manual workflow that should be producing more value. A short note about the enquiry you want more of is enough.
The audit returns the main bottleneck, one practical first implementation slice, and proof or risk notes so the next move is clear before paid work is scoped.
No. The audit is intentionally narrow: it chooses the fastest useful visibility, conversion, response, or admin improvement before larger AI work is considered.