ConfiguredResearch

Company Review & Response Intelligence

Turn approved public company-review profiles into privacy-minimized rating, theme, response, verification-label, and reputation-change evidence.

No access or payment before scope confirmation

Your input

Tell us what to run. We handle the operating structure.

You do not need to prepare technical configuration. Provide the business requirements, examples, and approved access; we translate them into fields, rules, and a tested schedule.

What you provide

Approved company domains or public review-profile URLs
Rating, language, date, verification-label, and search filters
Required review, aggregate, response, theme, and change fields
Reviewer privacy exclusions and translation decision
Theme taxonomy, sample threshold, frequency, retention, delivery, and named reviewers

How you provide it

Setup form
Company and profile URL spreadsheet
Customer-experience taxonomy
Review-analysis brief
Example evidence table or API schema
Written privacy, retention, response, and review rules

The result

What this workflow delivers.

A source-linked customer-experience dataset that teams and approved AI agents can retrieve, summarize, compare, and route into service, product, communications, and reputation review.

Best for: Customer experience, service operations, brand, communications, product, quality, research, and leadership teams reviewing approved public company profiles.

Sources

Approved public company-review profiles and review URLs
Customer-supplied companies, domains, categories, languages, rating filters, date windows, and search terms
Public review text, ratings, dates, source verification labels, company replies, aggregate scores, counts, and categories when displayed

Output fields

Company, source profile, review ID, review URL, rating, title, text, language, experienced date, published date, and updated date
Displayed verification label, useful-vote count, report state, and company reply with reply date when available
Aggregate score, star category, review counts, reply rate, average reply time, claimed or closed state, and category when displayed
Privacy-minimized reviewer country and review-count band when approved; reviewer names, IDs, and images excluded by default
Normalized themes, sentiment state, response state, source timestamp, deduplication key, and review status
Explicit missing, duplicate, unavailable, partial, blocked, translated, low-sample, or review-required state

Delivery options

CSV download
JSON download
Airtable review table
Google Sheets
Company response and theme table
Database or warehouse-ready records
Scoped API endpoint
Webhook-ready update feed

Operating scope

Quoted by companies, reviews, languages, filters, frequency, history, and review requirements
Weekly or monthly
Public sources

AI-ready delivery

Structured data your team and agents can rely on.

Receive normalized records directly or let an approved agent retrieve them through a scoped interface. Source evidence, transformations, timestamps, and exception states remain available for review.

Use it directly

CSV and JSON exports
Airtable or spreadsheet delivery
Database and warehouse-ready records
Customer-controlled backups

Connect approved agents

Scoped API or webhook access
Filter and retrieve defined records
Summarize, compare, classify, and cite
Route exceptions to a human owner

Keep control

Customer-owned resulting dataset
Raw and normalized values remain distinct
Model, API, hosting, and storage costs are scoped
No autonomous consequential authority

Configurable service

One workflow, configured around the decisions your team owns.

The modules describe business capabilities, not separate tools to operate. Select the coverage, filters, review rules, schedule, and destination during setup.

Available modules

Company review collection
Privacy-minimized evidence structuring
Rating, theme, and sentiment analysis
Company response analysis
AI-ready retrieval
Exception, translation, and sample review

Business questions supported

What praise, complaints, and service-recovery themes recur across approved company profiles?
Which severe, repeated, unanswered, disputed, or low-confidence records require attention?
How do visible scores and response patterns compare after sample and category differences are retained?
What can an approved AI agent summarize or draft without publishing autonomously?

Worked example

See what goes in and what comes back.

Examples show the delivery structure before setup. Names and values are illustrative, not client records or performance claims.

Example input

{
  "companies": [
    "example-services.test",
    "example-retail.test"
  ],
  "max_reviews": 200,
  "languages": [
    "en",
    "fr"
  ],
  "date_window": "6 months",
  "exclude_reviewer_identity": true,
  "themes": [
    "support",
    "quality",
    "delivery",
    "refunds"
  ],
  "delivery": [
    "Airtable",
    "Scoped API"
  ]
}

Example delivery

Illustrative record

{
  "company": "Example Services",
  "rating_raw": 2,
  "review_text": "Support replied quickly, but the replacement arrived late.",
  "verification_label_raw": "Verified",
  "company_reply_state": "replied",
  "themes_calculated": [
    "Support positive",
    "Replacement delay"
  ],
  "published_at": "2026-08-10T10:00:00Z",
  "review_status": "human_review",
  "example_status": "synthetic"
}

Installation path

From source approval to scheduled operation.

The first representative run is reviewed before the workflow becomes a recurring operation.

Confirm approved companies, profiles, languages, ratings, dates, fields, business questions, and prohibited uses

Run a sample and inspect review, score, reply, verification-label, aggregate, language, and missing-state coverage

Agree privacy minimization, theme taxonomy, deduplication, sample thresholds, translation, cadence, retention, and delivery

Collect approved public company-review observations within documented boundaries

Keep raw review and aggregate evidence separate from normalized themes, sentiment, calculations, and AI-assisted classifications

Deliver complete, partial, duplicate, blocked, translated, low-sample, unavailable, and review-required states separately

Managed history

Each run adds to a useful operating history.

Recurring runs append timestamped review, rating, aggregate-score, company-response, theme, and source-health observations without silently replacing prior evidence.

Retention and portability

The resulting dataset belongs to the customer. Delivery supports CSV, JSON, Airtable, databases, warehouses, webhooks, and scoped APIs. Reviewer identity is excluded by default; backups, retention, deletion, portability, and exit exports are agreed during setup.

What the accumulated history can support

Let an approved AI agent retrieve reviews by company, rating, theme, language, date, verification label, or response state
Generate source-linked summaries of praise, complaints, service failures, recovery, and unanswered themes
Compare companies while retaining differences in sample size, recency, category, source coverage, and review mix
Identify new severe, repeated, low-confidence, translated, disputed, or unanswered records for human review
Draft internal response recommendations grounded in review text and policy without publishing autonomously

Interpretation limits

History makes comparison possible, but it does not remove source limitations or turn signals into guaranteed business outcomes.

Public reviews are selected, self-reported observations and may not represent all customers or outcomes

Verification labels do not independently prove identity, purchase, factual accuracy, or authenticity

Scores, review counts, reply metrics, useful votes, and company states are source-controlled and can change

Sentiment and theme classification can misread sarcasm, translation, mixed views, allegations, and context

Comparisons can be distorted by category, market, review solicitation, moderation, sample size, recency, and response practices

Pages, reviews, replies, and profiles can be edited, reported, removed, blocked, rate-limited, or unavailable

Safeguards

Automation stays inside agreed boundaries.

Access, retention, exports, and operating controls are confirmed for this workflow before launch.

Approved public company-review sources and documented customer-experience or reputation-research purpose only

No passwords, cookies, tokens, private profiles, or reviewer contact details requested

Reviewer names, profile identifiers, profile images, exact locations, email, phone, and address are excluded by default

No reviewer identification, contact enrichment, outreach, profiling, retaliation, or sensitive-trait inference

Verification labels, report states, scores, and company replies remain source claims, not independent verification

No autonomous response publication, reviewer action, service denial, employee discipline, legal action, or reputation decision

No platform affiliation, exhaustive coverage, authenticity, accuracy, representativeness, or freshness guarantee

Related workflows

Continue through the catalogue.

View all workflows

Competitive Price and Assortment Monitor artwork showing a matched product price change, stock state, seller count, and new assortment review

Monitoring · Configured

Competitive Price & Assortment Intelligence

Know when competitor prices, availability, sellers, variants, or product ranges change across approved public retail and marketplace pages.

Explore workflow

Data Collection · Configured

Supplier Quote Normalizer

Convert supplier quotes from PDFs, spreadsheets, and approved email-derived text into comparable line items with explicit terms, assumptions, source evidence, and missing-information flags.

Explore workflow

Reporting · Custom

Portal Report Collector

Sign in to approved vendor and business portals on schedule, retrieve expected CSV, Excel, PDF, and other report files, and deliver one validated reporting feed.

Explore workflow

Contour map illustrating connected systems, decision paths, and workflow movement

Start setup

Configure Company Review & Response Intelligence.

Share the sources, rules, and destination. We’ll verify access and confirm the final setup and monthly operating scope.

Setup$600

ManagedQuoted by company and review volume

Normally liveConfirmed after sample

Company Review & Response Intelligence

Tell us what to run. We handle the operating structure.

What you provide

How you provide it

What this workflow delivers.

Sources

Output fields

Delivery options

Operating scope

Structured data your team and agents can rely on.

Use it directly

Connect approved agents

Keep control

One workflow, configured around the decisions your team owns.

Available modules

Business questions supported

See what goes in and what comes back.

From source approval to scheduled operation.

Each run adds to a useful operating history.

What the accumulated history can support

Automation stays inside agreed boundaries.

Continue through the catalogue.

Competitive Price & Assortment Intelligence

Supplier Quote Normalizer

Portal Report Collector

Configure Company Review & Response Intelligence.

Configure the workflow.