Follow-up stars
INQUIRY → INSIGHT → NEXT STEP
AI Inquiry Analysis
Understand buying needs, customer signals and the next step.
Gemini is analyzing your materials
Reviewing buying needs, customer signals and source evidence.
Please wait. The actual findings will appear when analysis completes.Make your next follow-up count
Understand the need. Review the signals. Decide the next step.
Specifications, quantities, use cases, delivery and missing details before quoting.
Feature preview, not an actual analysis.Evidence and unknowns retained. No predicted win rate.
02 / REVIEW THE EVIDENCE
Inquiry Analysis Report
Input or options have changed. The report below reflects previously submitted data; please re-analyze before using it for the current inquiry.
Start with stars and purchasing-scale signals
Evidence-based follow-up guidanceAccount size and purchasing opportunity
Look at this opportunity first
Customer Value: Evaluated Across Three Dimensions
Inspect citations · Keep unknowns visibleWHAT THE BUYER NEEDS
Procurement Requirements & Missing Details
WHAT THE MATERIALS ACTUALLY SAY
Customer Information & Background Leads
Source text statements reflect what is stated in the submitted materials; identity, scale, or creditworthiness are not independently verified.
MAKE THE NEXT CONVERSATION COUNT
Verify first, then proceed
Pending information that affects judgment
View actual analysis sources
Analysis Boundaries & Usage Guidelines
Export Auditable Reports
Retain citations, models, and generation times so information is traceable during handovers.
BUILT FOR A REAL B2B SALES WORKFLOW
From fast replies to precise follow-ups
Capture Procurement Signals
Consolidate specifications, quantities, applications, and commercial terms to confirm high-impact information first.
Understand Selection Boundaries
Evaluate fit using confirmed product capabilities, distinguishing matching evidence from conditions requiring technical verification.
Make Assessments Handoff-Ready
Review citations, unknown items, and action rationales to avoid turning model inferences into unverified customer profiles.
Connect this step to your goal
Turn an inquiry into a quotable request
After using this tool, continue with relevant steps. Checklist marks are your own notes, not a passed test or business approval.
See all business goalsAI steps have shared usage limits and human verification. They run only when you submit, and do not automatically receive inputs or reports from previous steps.
YOUR NEXT STEP
Give your next inquiry a place in your team workflow
Create a company account, connect your inquiry mailbox and set team permissions. Explore Pro for higher processing limits, automatic acknowledgements and team workflows.
New companies receive a 14-day Pro trial, with no card required. Trials exclude the paid monthly credit grant.
Already have an account? Open your workspace →AI Inquiry Identification: Understanding real intent and business context first
Messages from foreign trade emails and website forms include new buyer inquiries, repeat buyer re-quotes, supplier solicitations, post-sales requests, and other messages. The goal of intent recognition is to help sales reps decide how to follow up. This AI Inquiry Analysis Tool uses Gemini to read your submitted materials, identify message types, provide reasoning and citations, and extract customer details and procurement needs item by item.
Short emails are not necessarily worthless, and free email addresses do not directly prove a client is unprofessional. Existing clients may send a quick "Please quote this item again," and engineering buyers might first ask if a capability exists. Professional analysis brings in known context, respects missing information, and retains uncertainty rather than deciding customer value based on a single surface trait.
Customer Value Analysis: Separate Business Match, Procurement Readiness, and Repeat Order Signals
Business Fit evaluates whether buyer needs suit your established products and business model; Procurement Readiness evaluates whether specs, quantities, applications, or commercial terms are clearly defined; Repeat Potential focuses on explicit signals like reorders, distribution channels, forecasts, or multi-project needs. These assessments may differ: sample-stage leads aren't necessarily low-value, and requesting a quote doesn't guarantee a deal.
The tool does not generate total customer value scores, forecast revenue, or predict deal probabilities. Each axis requires clear reasoning and evidentiary support; unverified points remain marked as unknown. Provide real seller context and ideal buyer criteria to tailor the matching analysis to your current business. Unverified pricing, certifications, capacity, and lead times should not be listed as confirmed capabilities.
Customer Background Check: Separate Self-Descriptions from Public Web Materials
Company name, job title, and purchasing plan in the inquiry belong to customer-provided details. When public website research is enabled, the tool can read specified websites within a limited scope to add public leads for business description. The report displays actual sources and research scope; it will not automatically open links in emails, guess company size based on domain names, or upgrade website self-descriptions into legal identity or credit proof.
Contact permissions, company entities, payment arrangements, technical specifications, and transaction terms must still be verified before trading. Risks flagged in reports are signals to verify; do not accuse parties of fraud, delete emails, or bypass team review based solely on model analysis.
Turn Analysis into Confirmed Issues and Draft English Replies
The most valuable result is knowing what to confirm in the next email. The tool pairs pending parameters with recommended actions, helping sales reps focus on questions that impact model selection, quoting, or order progression. English drafts communicate based on known facts while keeping unverified terms pending, avoiding unwarranted promises regarding price, certification, or delivery.
Before copying the draft, check citations, contacts, technical conditions, and commercial commitments item by item. The report can be exported as JSON, Markdown, or TXT for joint technical and sales review; exported files contain customer materials and public sources and should be saved according to team permissions. The tool does not connect to email and does not automatically send content to clients or colleagues.
Frequently asked questions
How does AI Inquiry Analysis differ from standard inquiry reply tools?
This workbench identifies email types, organizes buyer needs, customer-provided info, missing fields, and follow-up advice. It evaluates business fit, purchasing readiness, and recurring intent separately with source quotes. The English draft reply is a final reference step to aid sales rep communication and will not send emails automatically.
How are stars and key-account signals determined?
You can receive follow-up stars by pasting an inquiry alone; seller background is optional. Cited product requirements and a purchasing stage support an initial procurement-signal preview: clear recurring demand or a forecast generally earns four stars, while a specific request earns three. Business fit remains unconfirmed; three stars does not mean low customer value. Optional seller context refines fit. Five stars require strong fit, clear procurement steps, cited high priority and recurring demand. One or two stars require evidence of weak fit. Missing effective purchasing requirements or stage remains unrated. Account scale is separate from the stars: forecasts are not orders, and samples do not establish company size, order value or conversion probability.
Can AI verify client company authenticity and purchasing capacity?
A single inquiry cannot verify legal entities, business scale, payment capacity, or real purchasing authority. Statement excerpts in the report remain unverified independently, and analytical inferences require human confirmation. You can voluntarily provide public websites to expand accessible public materials; self-stated website content still does not prove identity, credit, or financial standing. Further verification is required before transaction decisions.
Does customer background check automatically open links in inquiries?
No. Public website research is turned off by default; the tool does not automatically visit URLs found in emails. Only when you actively enable research and enter a URL will the server fetch a limited scope of public pages. The report displays actual fetched sources and coverage; incomplete, partial, or unavailable sites will be clearly stated, rather than treating domain guesses as investigated facts.
How should seller product background and ICP information be used?
Providing verified products, applications, supported terms, and target customer types makes fit analysis more grounded. Known constraints are ideal for certification, capacity, MOQ, or acceptable trade terms, but avoid entering unverified promises. Without sufficient seller context, the tool marks match fit as unknown and lists questions needing clarification.
How should source citations and analytical inferences be evaluated?
Expand references beside each judgment to view sources from inquiries, seller background, or public websites. Original Statements indicate that provided materials state these points, which does not equal real-world verification; Analytical Inferences indicate judgments made by the model based on materials; Pending Confirmation indicates insufficient information. High, medium, and low confidence levels of the model are not calibrated probabilities and should still be checked alongside citations.
Will short inquiries, existing clients, or free email addresses be flagged as spam?
Such judgments cannot rely solely on email length, provider, or country. Short emails may come from repeat inquiries or genuine procurement requests; reports should differentiate based on purchasing requests, context, and specific evidence. Classifications like spam, marketing, or cold pitch also require justification. Keep uncertain items as pending verification; automatic deletion of emails is not recommended.
Can English response drafts be sent directly to clients?
Drafts require verification by sales representatives. The tool generates responses based on verified facts; unconfirmed prices, certifications, model numbers, payment terms, and lead times should be phrased as 'to be confirmed', prioritizing inquiries about critical missing details. After copying, verify contact details, product specifications, tone, and commercial commitments before sending. This page does not connect to email services and will not automatically send replies to clients.
Will inquiry content be uploaded? How is sanitization handled?
Inquiries and seller details are submitted to the AI model service only after clicking "Analyze with Gemini". Website research requires manual activation. The page does not automatically save drafts or access email accounts. Use local sanitized previews to replace common email addresses and phone numbers with + country codes. Sanitization cannot catch all personal details, company names, or trade secrets; manually review text before submitting.
What can be done when Gemini is unavailable?
The page will clearly display failures or quota limits without using template results to fake completed AI analysis. You can retry or download the analysis prompt composed of your current inputs for model processing on your end. Prompt downloads are generated locally, contain your entered or anonymized materials, and do not imply an AI API call has been made.
Can the report be handed over to colleagues for follow-up?
You can copy requirements, customer information, qualification questions, or English drafts, and also download JSON, Markdown, and TXT reports. Reports retain the model name, generation time, cited sources, and inspection boundaries for easy review by colleagues. Files will contain analysis materials and customer information; please save and share according to team permissions. This tool will not automatically share or send data to others.
AI inquiry analysis practical guide and common questions
How does AI inquiry analysis help qualify B2B leads?
Inquiry analysis separates buyer requirements, role and verifiable value signals to help B2B sales teams decide whom to follow up with and what to ask next.
Who is this for, and when is it useful?
B2B sales teams qualifying a lead and preparing the next response.
How do I analyze an inquiry and read follow-up stars?
Paste the inquiry and seller context, review evidence-based follow-up stars and purchasing signals, verify missing information and inspect the reply draft.
Do customer stars establish actual company size?
Stars express follow-up priority based on current evidence, not verified revenue or company size. Read confidence and source evidence, then confirm identity, budget and recurring demand.
Where is the work performed, and which services receive data?
Analysis submits the current inquiry and context to our backend and Google Gemini/Vertex AI. It does not log into customer databases, retrieve private buyer finances or send mail automatically.