
Local campaign practical fact checker
Location-specific fact confirmation before publishing.
- For
- Multi-location marketing teams
- Solves
- Ads contain wrong store hours or booking conditions.
- Delivers
- Reviewed local campaign proof
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $12,500 for the MVP, $42,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For multi-location marketing teams, turn location-confirmed facts and campaign drafts into reviewed local campaign proof.
- Compare practical details.
- Flag expired offers.
- Draft location review tasks.
- Link proposed outputs to original source records.
- Capture reviewer corrections and approval.
- Export a versioned reviewed local campaign proof.
What goes in, what comes out
- Location-confirmed facts
- Campaign drafts
AI drafts, people review. Evidence review and quality assurance workspace.
- Reviewed local campaign proof
How it works
The workflow
- InStart with
Location-confirmed facts and campaign drafts
- 1
The buyer creates a project
- 2
Supplies location-confirmed facts and campaign drafts
- 3
Confirms scope and access
- OutFinish with
Reviewed local campaign proof
AI does the heavy lifting, people stay in charge
AI assists these bounded tasks: compare practical details; flag expired offers; draft location review tasks. Use only location-confirmed facts and campaign drafts and preserve uncertainty in reviewed local campaign proof. 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, Local campaign practical fact checker, Review and delivery. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. Open with brief and sources; move into local campaign practical fact checker 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
Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history. 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. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. Begin with uploads and exports of location-confirmed facts and campaign drafts. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
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
Scoping call
Day 1Thirty 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
MVP
4 daysOne buyer segment, one recurring use case; first modules: compare practical details; flag expired offers. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
10 daysSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will multi-location marketing teams use it to solve "ads contain wrong store hours or booking conditions"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track incorrect local details; 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 location-confirmed facts and campaign drafts. 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: compare practical details; flag expired offers. Support the third task through an assisted review queue: draft location review tasks. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed local campaign proof. 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 reviewed local campaign proof, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned reviewed local campaign proof. 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 location-confirmed facts and campaign drafts. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
What the build depends on. Evidence coordinates, versioned rules, reviewer decisions and a representative reference set. Measure misses as well as confirmed findings before scaling. 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 location-confirmed facts and campaign drafts. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: compare practical details; flag expired offers. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$42,500about 4 weeks of creation time · start with the MVP from $12,500
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $80–$160 | $110–$220 |
| Full productabout 50 customers | $110–$210 | $880–$1,750 | $990–$1,960 |
Run it or resell it
For your own team
Multi-location marketing teams run it inside the business: location-confirmed facts and campaign drafts in, reviewed local campaign proof out, reviewed by your people.
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
#2f2791 - accent
#99c954 - surface
#e6e4f1 - 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 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation. For this buyer, package the first sale around prepare a sample reviewed local campaign proof from a small authorized set of location-confirmed facts and campaign drafts and the defined reviewed local campaign proof. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Location-specific fact confirmation before publishing. Demonstrate the result with prepare a sample reviewed local campaign proof from a small authorized set of location-confirmed facts and campaign drafts for multi-location marketing teams. 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 reviewed local campaign proof from a small authorized set of location-confirmed facts and campaign drafts
The first 30 days
- Week 1: interview five prospective buyers from multi-location marketing teams and inspect how they handle ads contain wrong store hours or booking conditions.
- Week 2: prepare prepare a sample reviewed local campaign proof from a small authorized set of location-confirmed facts and campaign drafts using authorized or synthetic material.
- Week 3: share the demonstration through marketing operations communities and specialist agencies and seek one bounded paid pilot.
- Week 4: measure incorrect local details; 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 reviewed local campaign proof from a small authorized set of location-confirmed facts and campaign drafts and deliver reviewed local campaign proof. Compare incorrect local details; 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
Incorrect local details; reviewer correction minutes; buyer acceptance and repeat purchase
Retention and expansion
Build repeat use around reviewed local campaign proof. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on incorrect local details; 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 domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this concept, accumulate permissioned examples and reviewer corrections around location-specific fact confirmation before publishing. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Manual reviewers, checklists, generic scanning tools and specialist audit services. Position this concept around location-specific fact confirmation before publishing. 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
Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration. Initial validation additionally budgets for representative sample preparation, interviews with multi-location marketing teams, and buyer-side review of reviewed local campaign proof. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
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 location-confirmed facts and campaign drafts. 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.