Screenshot of the Brand search intent teaching studio interactive demo
Screenshot of the interactive demo, on sample data

Brand search intent teaching studio

Teach task alignment without ranking promises.

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For
Small-business marketing trainers
Solves
Owners cannot distinguish different searcher tasks.
Delivers
Trainer-reviewed search lesson
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For small-business marketing trainers, turn permitted query examples and approved curricula into trainer-reviewed search lesson.

  1. Group stated intent.
  2. Compare page purposes.
  3. Draft practice exercises.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned trainer-reviewed search lesson.

What goes in, what comes out

What the customer puts in
  • Permitted query examples
  • Approved curricula

AI drafts, people review. Role-based learning platform and course authoring console.

What the customer gets
  • Trainer-reviewed search lesson
02

How it works

The workflow

  1. In
    Start with

    Permitted query examples and approved curricula

  2. 1

    The buyer creates a project

  3. 2

    Supplies permitted query examples and approved curricula

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Trainer-reviewed search lesson

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: group stated intent; compare page purposes; draft practice exercises. Use only permitted query examples and approved curricula and preserve uncertainty in trainer-reviewed search lesson. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

What your team sees

Key screens: Brief and sources, Brand search intent teaching studio, Review and delivery. Provide a learner home with the next useful lesson, a practice activity and progress evidence. Give authors a source-linked course editor and assessment review queue. Supervisors see completed tasks and explicit sign-offs. Use short modules that work on mobile as well as desktop. Open with brief and sources; move into brand search intent teaching studio for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Learner enrollment, content versions, assessment review, role pathways, accessibility options, supervisor sign-off, progress records and source update alerts. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

Approved brand material, campaign exports and authorized customer research. Learning portals, employee or member directories and completion exports. Validate standards and identity requirements before promising native LMS compatibility. Begin with uploads and exports of permitted query examples and approved curricula. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    7 days

    One buyer segment, one recurring use case; first modules: group stated intent; compare page purposes. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will small-business marketing trainers use it to solve "owners cannot distinguish different searcher tasks"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track correct intent classifications; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using permitted query examples and approved curricula. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group stated intent; compare page purposes. Support the third task through an assisted review queue: draft practice exercises. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of trainer-reviewed search lesson. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

After the MVP. After paying customers repeatedly accept trainer-reviewed search lesson, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned trainer-reviewed search lesson. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One organization, one defined input format and one representative pilot batch using permitted query examples and approved curricula. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Clear objectives, licensed or approved sources, validated assessments, learner state and source-change tracking. Media and accessibility requirements affect production effort. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using permitted query examples and approved curricula. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: group stated intent; compare page purposes. Manual review in the loop.

    $13,000 · about 7 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $13,000 · about 8 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 6 weeks of creation time · start with the MVP from $13,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$110$80–$170
Full productabout 50 customers$110–$210$420–$840$530–$1,050
05

Run it or resell it

Internally

For your own team

Small-business marketing trainers run it inside the business: permitted query examples and approved curricula in, trainer-reviewed search lesson out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#272891
  • accent#c9ba54
  • surface#e4e5f1
  • ink#22201e
Headings
Sora
Text
Work Sans
Voice
Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-3,000 for one custom learning pathway, then USD 10-40 per active learner monthly with a minimum account fee. Public memberships may use lower fixed subscriptions. Prices are experiments, not benchmarks. For this buyer, package the first sale around prepare a sample trainer-reviewed search lesson from a small authorized set of permitted query examples and approved curricula and the defined trainer-reviewed search lesson. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Teach task alignment without ranking promises. Demonstrate the result with prepare a sample trainer-reviewed search lesson from a small authorized set of permitted query examples and approved curricula for small-business marketing trainers. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Marketing operations communities and specialist agencies

Lead magnet

Prepare a sample trainer-reviewed search lesson from a small authorized set of permitted query examples and approved curricula

The first 30 days

  1. Week 1: interview five prospective buyers from small-business marketing trainers and inspect how they handle owners cannot distinguish different searcher tasks.
  2. Week 2: prepare prepare a sample trainer-reviewed search lesson from a small authorized set of permitted query examples and approved curricula using authorized or synthetic material.
  3. Week 3: share the demonstration through marketing operations communities and specialist agencies and seek one bounded paid pilot.
  4. Week 4: measure correct intent classifications; reviewer correction minutes; buyer acceptance and repeat purchase, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare a sample trainer-reviewed search lesson from a small authorized set of permitted query examples and approved curricula and deliver trainer-reviewed search lesson. Compare correct intent classifications; reviewer correction minutes; buyer acceptance and repeat purchase with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Correct intent classifications; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around trainer-reviewed search lesson. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on correct intent classifications; reviewer correction minutes; buyer acceptance and repeat purchase. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

A reviewed niche curriculum, realistic practice tasks and evidence of useful learning outcomes in a defined role. For this concept, accumulate permissioned examples and reviewer corrections around teach task alignment without ranking promises. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Courses, internal trainers, learning management systems and static training documents. Position this concept around teach task alignment without ranking promises. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Instructional design, subject review, media production, assessment validation, learner support and content refreshes. Initial validation additionally budgets for representative sample preparation, interviews with small-business marketing trainers, and buyer-side review of trainer-reviewed search lesson. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. One organization, one defined input format and one representative pilot batch using permitted query examples and approved curricula. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

Get this solution built

Built for you by our AI software factory, MVP in about 7 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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