Does your website make it easy for customers to get support, or does it make them give up?
OmniSmart Radar analyzes the visible channels on your website, finds friction points, and delivers a priority plan for customer service, sales, and automation.
Transparent scope: At this stage, no channel is contacted. The analysis only observes public content and does not claim to have measured SLA, human response, or resolution.
Generate My Diagnosis
Fill in your professional details and receive the report on screen.
Radar is analyzing your website
This may take a few moments. Do not close this page.
Validating the public address
Website Analyzed
Analysis Generated Now
Overview of Customer Service Presence
Detection confirms public signals of channels — it does not confirm they are working, nor does it measure response time or quality.
The 6 Dimensions Analyzed
The score combines objective signals found on the website with a structured AI reading. Evidence remains visible for you to validate the interpretation.
What helps and what may interrupt the journey
Identified Strengths
Friction Points
Prioritized Improvement Plan
A practical sequence to turn the diagnosis into improved experience, conversion, and operational control.
Chat with Your Diagnosis
Answers use only the generated report. When evidence is lacking, the analyst will indicate what needs active validation.
What decision do you need to make?
Ask for an executive summary, a priority order, or a plan to take to the team.
What this report does not claim
Useful diagnosis without turning hypothesis into fact
Radar starts with the layer that can be safely observed: the public experience of finding a channel and deciding the next step. Then it shows exactly what still depends on real testing.
Safe site scan
The scanner reads the homepage and a possible contact page, blocks private addresses, and does not expose credentials in the browser.
Objective signals first
WhatsApp, email, phone, form, chatbot, live chat, privacy, hours, and calls to action are identified by verifiable rules.
Structured analysis with AI
Artificial intelligence organizes evidence, friction points, and recommendations into a fixed format. Notes and fields undergo validation before reaching the screen.
Active audit as the next layer
Response time, difficulty leaving the bot, and agent quality can only be measured in an authorized test, with defined identity, hours, and criteria.
Questions about the diagnosis
Does Radar send WhatsApp, email, or form?
Not in this free stage. It only observes public pages. No channel is contacted and no conversation is initiated.
Does the score prove my customer service is good or bad?
Not in isolation. The score represents the apparent ease of discovering and initiating contact through the website. Operations, SLA, resolution, bot, and human service need to be validated with internal data or an authorized active audit.
Why ask for corporate email and professional WhatsApp?
The report was created for companies that operate customer service or sales. The data helps identify the person responsible for the analysis, prevent scanner abuse, and allow OmniSmart to offer support on the identified priorities, according to the recorded consent.
Is my website content saved?
Not in the Radar database. The content is used during the analysis and discarded; only the written report is available via the link for up to 30 days.
How to measure response time, bot, and agent quality?
These metrics are part of the active phase of the project. Before the test, the company defines authorization, channels, time windows, persona, objective, interruption rules, and interaction handling. This makes the result auditable.
Want to measure the real journey, from bot to agent?
OmniSmart can structure the next layer with an authorized scope: test scenarios, transfer to human, SLA, response quality, friction points, and correction plan.