Website Assessment Results Example

We publish the exact V2 report structure using our own site, netsujo.jp. There is no fictional customer and no invented score: the report connects a declared sales goal to one evidence-backed opportunity loss and one implementation-ready first recommended improvement.

This report is not a copy of an external AI answer. It separates observed fact, interpretation, business hypothesis, and verification; records two successful observations out of four questions with provider, model, search setting, locale, region, and time; and does not convert unobserved questions into “absent” or “no problem”.

Company

Netsujo Inc.

Diagnosis target

https://netsujo.jp

Diagnosis date

July 30, 2026

Priority offer

Netsujo SIGNAL

Target customer

Sales and business leaders at B2B companies that want more web-generated opportunities

Method

website assessment V2 — public-site retrieval, context-derived customer questions, search-enabled AI observation, evidence verification, one website assessment, and one first recommended improvement.

01 / Maximum missed sales opportunity

The service page leads with the scope of its technical analysis, but it does not connect a specific target customer, the sales opportunity they are losing, and the recommended improvement they will receive in the first screen. The business hypothesis is that buyers comparing SEO and AIO services may not understand why this is different before reaching the free diagnosis or scope-confirmation action. Actual enquiry and revenue impact remains unknown until internal analytics and sales data are compared.

02 / website assessment and observation denominator

The two unobserved questions are not treated as absent or as “no problem”. Revenue and enquiry impact remains an internal-data question.

03 / Fact, interpretation, hypothesis, and validation

Observed fact

The first screen of the service page does not state the concrete role of the target customer or connect that customer to a declared sales goal.

Interpretation

A visitor can understand the technical analysis scope but may struggle to decide quickly which missed opportunity SIGNAL will resolve for their business.

Business hypothesis

During comparison with SEO and AIO tools, a buyer may leave the shortlist before reaching the free diagnosis or scope-confirmation action. This requires internal data to verify.

Next validation

Replace the hero with the website assessment proposition, then compare the free-diagnosis start rate and scope-confirmation CTA reach rate over equal 28-day periods.

04 / first recommended improvement

Target: the hero and the service-comparison section at https://netsujo.jp/services/signal. Root cause: target customer, customer problem, maximum opportunity loss, and first recommended improvement are not presented as one causal chain in the first screen.

• Change the hero subject from technical analysis to missed sales opportunity.
• Show the continuous Target Customer → Customer Question → Observation → Landing Page → Evidence → Gap → recommended improvement trace.
• Use “Start a free website assessment” as the primary CTA and link the secondary CTA to this report example.
• Move the eight technical areas to the appendix and return one complete first recommended improvement in the free report.
• Completion criteria include matching Japanese and English facts, a readable mobile trace, a functioning two-step form, and no PII in GA4.

05 / Validation and the next release

First, validate the unknowns before treating the hypothesis as fact:

• Interview at least three recent prospects and ask how they described the problem before seeing SIGNAL.
• Compare the current hero CTA start rate and report-completion rate with the V2 baseline.
• Confirm that the target page remains readable and actionable on mobile before release.

Then release the first recommended improvement as one controlled change:

• Ship the hero and service-comparison changes together so the promise and the free report stay consistent.
• Measure free-diagnosis start, completion, report view, recommended improvement reach, and consultation CTA click without sending personal information to GA4.
• Compare equal 28-day periods and keep, revise, or roll back the change from the observed outcome.

Continue only after the first outcome is known:

• Use paid SIGNAL support for continuous observation, multiple recommended improvements, implementation delivery, and post-release measurement.
• Keep fact, interpretation, hypothesis, and validation visibly separate as new evidence is added.

What is not included in the free diagnosis

• Analysis of real data using GA4 and Search Console
• Finished page copy
• Structured data
• Production implementation
• Ongoing post-release monitoring

• This free diagnosis is limited to crawling public information (the top page plus up to 6 key pages) and an AI's first-pass findings.
• It does not guarantee outcomes such as search ranking, inclusion in generative-AI answers, enquiry volume, or sales.
• We do not provide an overall score. The report shows observed and planned question counts so the observation denominator remains visible.
• It includes one complete first recommended improvement, but not finished implementation code or complete production copy.
• It does not include non-public data such as GA4 or Search Console or ongoing competitor observation — these are part of paid support.

If you want to take the next step

For continuous observation, multiple recommended improvements, implementation delivery, and post-release measurement, Netsujo SIGNAL's paid support covers:

• Analysis of real GA4 and Search Console data
• Draft improvements to titles and meta descriptions
• CTA and enquiry-path design
• Conversion measurement design

Netsujo Inc. / Netsujo SIGNAL. This report is a simplified diagnosis based on publicly available information. It does not guarantee search ranking, inclusion in generative-AI answers, enquiry volume, or any other outcome.