/ Service business website audit

A service site audit from promise to qualified lead

Type: Demonstration report · Mode: Synthetic data and a public evidence pattern · Period: Synthetic 30 day window

The audit connects search intent, proof, form behavior, CRM quality and visibility in search and AI answers.

1 · rebuild routes1 · fix measurement1 · strengthen proof

About this report and how to read the metrics

The company, niche, domains and metrics are synthetic. Old public samples were not used as business facts.

01 / in short

Summary

The site attracts interest, but the promise is too broad and CRM does not return lead quality. More traffic is premature.

Clarify: Separate three service intents into pages with a result, proof and next step.
Measure: Return qualified and won stages from CRM, not only form submit.
Protect: Keep the short form and working indexation.

All metrics

Metric	Value
sessions · synthetic snapshot	1,200
form starts · 4% of sessions	48
submissions · 37.5% of starts	18
qualified leads · 55.56% of submissions	10

02 / audit map

What we checked.

Each tile is one area we checked. Select it to open the finding.

01 / landings and synthetic termsRebuild routesThree intents receive one broad promiseThe gap may reduce trust. A general hub remains useful navigation and should stay.02 / analytics and synthetic CRMFix measurementThe platform sees submit, not qualityOptimization may buy cheap poor leads, but qualified volume is too low for an immediate bidding switch.03 / content, schema and AI sampleStrengthen proofExpertise claims lack a citable basisSearch and AI have weaker evidence, although Organization data exists.

03 / where to start

First steps.

First, what every later decision depends on.

01Map intent and define CRM stages.→ Each of the three intents maps to one page, and every lead stage has an owner and transition rule.
02Publish pages and offline quality signal.→ All four landing pages and 24 forms pass the end-to-end check from CTA to CRM stage.
03Grow demand and citations by qualified outcomes.→ Qualified and won, not submit, guide growth.

The full plan is in the detailed review below.

04 / findings

Every finding in three lines.

Numbers and evidence for your marketer sit under “details”.

Rebuild routes01 / landings and synthetic terms · confidence medium

Three intents receive one broad promise

What we see

Pages repeat generic services although queries differ by urgency, scale and outcome.

Why it matters

The gap may reduce trust. A general hub remains useful navigation and should stay.

What we do

The service-line manager and copywriter create intent pages. Acceptance: each target term has one primary route and the hub does not compete.

details for the specialist

Details: Source: landings and synthetic terms. Period: snapshot. Status: synthetic. Confidence: medium. Coverage: four pages and 600 terms.

Fix measurement02 / analytics and synthetic CRM · confidence high

The platform sees submit, not quality

What we see

Submit rate is 18 / 1,200 = 1.5%; qualified rate is 10 / 1,200 = 0.83%. Ads receives only submit.

Why it matters

Optimization may buy cheap poor leads, but qualified volume is too low for an immediate bidding switch.

What we do

The CRM analyst and web analyst import qualified and won with click IDs and consent. Acceptance: deduplicated stages, no PII and explained variance.

details for the specialist

Details: Source: analytics and synthetic CRM. Period: 30 days. Status: synthetic. Confidence: high. Coverage: 18 submits and 10 qualified leads.

Strengthen proof03 / content, schema and AI sample · confidence medium

Expertise claims lack a citable basis

What we see

Two of three pages lack a named process, constraints or a verifiable case fact. Schema cannot replace content.

Why it matters

Search and AI have weaker evidence, although Organization data exists.

What we do

The subject-matter expert adds a short answer, process, constraints and proof. Acceptance: five questions have a direct answer, review date and source.

details for the specialist

Details: Source: content, schema and AI sample. Period: snapshot. Status: synthetic. Confidence: medium. Coverage: three pages and five questions.

Full findings table

Findings

Area	Finding	Evidence	Why it matters	What we do	Confidence	Decision	Details
landings and synthetic terms	Three intents receive one broad promise	Pages repeat generic services although queries differ by urgency, scale and outcome.	The gap may reduce trust. A general hub remains useful navigation and should stay.	The service-line manager and copywriter create intent pages. Acceptance: each target term has one primary route and the hub does not compete.	medium	Rebuild routes	Source: landings and synthetic terms. Period: snapshot. Status: synthetic. Confidence: medium. Coverage: four pages and 600 terms.
analytics and synthetic CRM	The platform sees submit, not quality	Submit rate is 18 / 1,200 = 1.5%; qualified rate is 10 / 1,200 = 0.83%. Ads receives only submit.	Optimization may buy cheap poor leads, but qualified volume is too low for an immediate bidding switch.	The CRM analyst and web analyst import qualified and won with click IDs and consent. Acceptance: deduplicated stages, no PII and explained variance.	high	Fix measurement	Source: analytics and synthetic CRM. Period: 30 days. Status: synthetic. Confidence: high. Coverage: 18 submits and 10 qualified leads.
content, schema and AI sample	Expertise claims lack a citable basis	Two of three pages lack a named process, constraints or a verifiable case fact. Schema cannot replace content.	Search and AI have weaker evidence, although Organization data exists.	The subject-matter expert adds a short answer, process, constraints and proof. Acceptance: five questions have a direct answer, review date and source.	medium	Strengthen proof	Source: content, schema and AI sample. Period: snapshot. Status: synthetic. Confidence: medium. Coverage: three pages and five questions.

05 / limitations and scope

Limitations and scope

Limitations: Sales call quality and loss reasons are unknown, so the cause of low qualification remains a hypothesis.

Coverage: All commercial templates, 24 form and CTA states on mobile and desktop, plus key search and AI surfaces.

Sources:

Home, three services and four landings
Forms, thank you state and synthetic CRM
Search snippets, schema and links
AI crawler access and answer passages

06 / detailed review

Full data for your marketer.

Every table and calculation from the audit. Owners can skip it.

Plan

What	Who	Result	Horizon
Map intent and define CRM stages.	Service-line manager and RevOps specialist	Each of the three intents maps to one page, and every lead stage has an owner and transition rule.	7 days
Publish pages and offline quality signal.	Content editor, web engineer and analyst	All four landing pages and 24 forms pass the end-to-end check from CTA to CRM stage.	30 days
Grow demand and citations by qualified outcomes.	SEO/GEO lead and growth lead	Qualified and won, not submit, guide growth.	90 days

Measurement

Status: Lead measured, quality not returned

1,200 sessions produced 48 starts, 18 submits and 10 qualified leads. Rates are 4%, 37.5% and 55.56%. Won stage is missing.

What already works

Preserve the short form and indexable hub

Evidence: The form submits and the hub links services without a crawl blocker.

Decision: No extra fields or noindex without an experiment and demand evidence.

Target state and change rules

Target state: Each intent has an evidence-backed page, forms lead to measured quality, and SEO and AI are judged through verifiable answers.

How we test: Qualified-lead (qualified) and closed-won (won) feedback comes first; promise and proof are then tested one at a time on a stable route.

When we roll back: Revert the version if qualified-lead conversion or confirmed volume falls below the agreed baseline.

Full audit map

24 checks

The three decisions above give an executive summary. The complete review register below shows the checks behind those decisions.

This page shows 24 of 24 checks in the demonstration register. A client report also links each check to its source, accountable role, and working artifact.

Intent and service routes

Three different buyer jobs should not lead to one broad promise.

Check	Priority	Decision	What we established	What we established
SV-01	P1	Separate	Assign a page to each of the three intents.	Urgency, scale, and expected outcome differ.
SV-02	P1	Protect	Keep the general hub for navigation.	The hub is useful when it does not compete with landing pages on the same promise.
SV-03	P2	Clarify	State the outcome and service boundary.	A list of work does not explain what the client receives or what is excluded.
SV-04	P2	Map	Connect query, page, and CTA.	Each high-intent need should have one logical next step.

Evidence, trust, and citability

An expertise claim becomes evidence when it includes a process, limit, and verifiable fact.

Check	Priority	Decision	What we established	What we established
SV-05	P1	Strengthen	Add process and readiness criteria.	Two of three synthetic pages do not explain how the outcome is produced.
SV-06	P1	Source	Tie each claim to primary evidence.	Schema does not replace visible content or fact provenance.
SV-07	P2	Set limits	State when the service is not suitable.	A clear limit improves expectations and qualification.
SV-08	P2	Maintain	Add a review date and accountable role.	A citable fact needs to remain current after publication.

CTA, form, and mobile journey

The short form works; the gap belongs in route and quality diagnosis rather than random extra fields.

Check	Priority	Decision	What we established	What we established
SV-09	P0	Protect	Keep the short form.	The form submits, and there is no evidence that more fields would improve quality.
SV-10	P1	Verify	Run all 24 CTA and form states.	Coverage includes error, success, validation, and mobile states.
SV-11	P1	Align	Repeat the page promise beside the form.	The visitor should know what happens after submission.
SV-12	P2	Measure	Separate form starts, submissions, and qualified leads.	The 48 → 18 → 10 sequence locates different losses.

CRM, lead quality, and advertising

Advertising sees a form but cannot tell whether the lead became qualified or closed as a sale.

Check	Priority	Decision	What we established	What we established
SV-13	P0	Import	Send the qualified-lead conversion (qualified) to ad platforms.	The synthetic CRM qualifies 10 of 18 submissions.
SV-14	P1	Add	Define and import the closed-won conversion (won).	A qualified lead is an intermediate stage, not the commercial outcome.
SV-15	P1	Protect data	Send click ID and consent without PII.	Signal quality does not justify sharing personal data.
SV-16	P2	Hold bids	Wait for enough new signal before bid changes.	Ten events are not a stable basis for aggressive automation.

SEO, AI answers, and bot access

Indexation and bot access work. The next step is content that can be quoted accurately.

Check	Priority	Decision	What we established	What we established
SV-17	P0	Protect	Do not block the indexed hub.	The hub connects services and has no technical crawl blocker.
SV-18	P1	Answer	Cover five commercial questions.	Each answer should be concise, dated, and supported by a source.
SV-19	P2	Verify	Compare three AI systems without a synthetic score.	Record presence, accuracy, and source rather than forecasted leads.
SV-20	P2	Monitor	Track access for the main crawlers.	Working access is protected but does not itself guarantee a mention.

Experiments, accountability, and control

Every change has an accountable role, acceptance criterion, and stop rule.

Check	Priority	Decision	What we established	What we established
SV-21	P1	Assign	Give each of the three routes an accountable role.	Content, forms, and CRM cross several disciplines.
SV-22	P1	Record	Define the baseline qualified-lead conversion rate.	Higher submission volume without quality is not success.
SV-23	P2	Test	Change one promise or proof element at a time.	A controlled change allows the cause of the result to be read.
SV-24	P2	Roll back	Restore the version when the qualified-lead conversion rate falls.	The guardrail is set before publication.

Method and appendices

Three-intent and four-landing-page map
Evidence, source, and review-date matrix
QA for 24 CTA and form states
CRM stage dictionary, AI check, and test log

What the client gets

Intent and offer map
Lead funnel and CRM reconciliation
Search and GEO evidence register
Tasks with acceptance criteria
Experiment and recheck plan

/ next step

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