Use the intake path
Share the AI visibility problem, content surface, campaign signal, workflow tool, approval gate, and revenue result that should be clearer.
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AI visibility and signal audit
AI Marketing Audit for Visibility, Content, and Ad Signal Problems
$10M+Paid media. Managed.
200+Shopify stores. Built.
300+Websites. Shipped.
+703%One campaign. Public.
9Case files. Documented.
Updated June 2026. AI visibility. Content. Ad signal.
Use this when AI visibility, content, ads, schema, and workflows are active but no one can see which signal is helping revenue and which one is noise.
Founded 2019
Roseville, California
Principal-led scope
Buyer route
AI marketing has to connect visibility, content, and ad signal to revenue.
Use this route when the business needs AI to improve visibility or operations without losing human control. Stan Consulting connects search visibility, workflow, data boundaries, and owner review.
Offer clarity
What you can buy here.
AI Marketing Audit is for companies whose AI visibility, content, ad signals, workflows, and approval gates do not line up.
The audit separates the signals helping revenue from content, schema, automation, and ad activity that only makes the system look busy.
- Workflow map
- Risk points
- Tool recommendations
- Owner controls
The method behind every engagement
The SC Method™ · how this works
Stan Consulting reads a business situation across five layers. Every engagement starts here. The number anchors. The method extends.
- 01
Site
The page the buyer lands on, hierarchy and trust.
- 02
Account
Paid surface, funnel mechanics, structure, spend.
- 03
Numbers
Tracking, attribution, the actual revenue trail.
- 04
Offer
What is being sold, the price, the proof.
- 05
Follow-up
What happens after the click, the form, the call.
Step 01Send the URLs and the account access.
Step 02Stan Consulting reads the five layers.
Step 03You get the three things to fix first.
Visual diagnostic
The visual read separates useful AI from noisy automation.
AI work needs visibility, workflow, data boundaries, and human review. Stan Consulting checks where the business should be found, what should be automated, and what must stay controlled.
01Visibility signalHow the business appears in answer engines and AI search.
02Workflow signalWhere AI removes repeated work without creating risk.
03Governance signalWho reviews outputs, data, and commercial decisions.
Simple process
No maze. Three moves.
Get the route
Stan Consulting reviews whether the failure is entity visibility, content proof, schema, ad-message mismatch, workflow risk, or approval control.
Move on the fix
You get the next owner decision and fix order before adding another AI tool, content engine, or campaign budget.
Why buyers trust the page
Clear scope before more spend.
The audit checks whether AI-search visibility, content, schema, ads, and page proof point to the same buyer path.
Approval gates, owner controls, and risk points are part of the audit so AI output does not drift away from the business decision.
The output names what to fix first before another AI tool, content engine, or campaign budget gets added.
The decision in front of you
Stan Consulting · retainer agency · in-house hire.
The same revenue work, three different commitments. Read the row that matters to you. The Stan Consulting column is gold-marked.
Dimension
Retainer agency
In-house hire
Stan Consulting
Who does the work
Junior staff or outsourced
One hire, narrow scope
Principal-led, 15+ years
Time to first written read
3 to 6 weeks of onboarding
4 to 6 months to ramp
72 hours to written read
Commitment
6 to 12 month retainer
Salary plus benefits, full-time
Scoped engagement
Accountability
Account manager turnover
Internal performance cycle
Principal-named, NDA-safe
Output
Decks and recommendations
Ramp time, internal politics
Written diagnostic, three named fixes
Cost band
$5k to $15k per month
$10k to $25k per month loaded
Scoped after intake · scoped
Refund or exit
Locked-in contract
Termination cost, severance
Refund policy on the product page
Questions before contact
What buyers usually need to know.
Who is AI Marketing Audit for?
It is for companies using AI tools without knowing what should be automated, reviewed, or left human-owned. If there is no live offer, page, campaign, store, or decision yet, start with the contact form so the route can be scoped correctly.
What do we get?
You get workflow map, risk points, tool recommendations, owner controls, plus the next step that should happen first.
How much does it cost?
Scoped is the visible starting point or pricing band for this service. Variable work is priced after the asset, account, timeline, and owner involvement are clear.
How fast can this start?
AI review. Response comes through the quote request path after the context is submitted.
Do we need a call first?
Not as the first move. Submit the situation first so the conversation starts with the real page, campaign, store, or decision instead of a blank sales call.
What if we already have an agency or internal team?
That is common. The work can review the current setup, direct the internal team, or define what the outside vendor should fix first.
This service answers these pains
If this sounds like the read, these pages are why.
Audit the AI marketing signal before adding another tool.
Use the intake path when AI visibility, content, ad signals, and workflow activity do not show which work is helping revenue.
Start AI marketing auditDiagnostic fit
Use this service when AI visibility needs a commercial route.
Use this as a fit check before choosing the service. When the failing layer is unclear, the written diagnostic should come first.
When to use it
AI search, answer engines, or citation surfaces do not understand or recommend the business cleanly. Money risk: Qualified buyers may compare options without seeing enough trust, proof, or entity clarity.
What SC checks first
SC checks entity signals, source pages, citation surfaces, AI retrieval paths, and whether AI discovery can route into a commercial next step.
When to diagnose first
If the account, page, offer, tracking, and follow-up could all be involved, route the decision to the written diagnostic first.
Problem route
Read the symptom →
This is for AI search, answer engines, or citation surfaces do not understand or recommend the business cleanly.
Proof route
See the proof →
Read the relevant proof to ground the diagnosis before choosing a fix.
Service route
Open the service route →
Use AI Visibility Build when this layer is already the likely fix.
Diagnostic route
Start with the written diagnostic →
Use the Conversion Second Opinion when the failing layer is still uncertain.