Local Presence Guardian

For

Owner-operators at independent bakeries, dental practices and hardware stores

Solves

Local business listings rot because owners lack time and patience for platform logins.

Delivers

Corrected listings, fresh photo sets, drafted and posted review replies, change log

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For owner-operators at independent bakeries, dental practices and hardware stores, turn voice memos and phone photos into corrected, current and defended online listings across Google, Facebook and review sites.

1. Capture voice answers to ten structured questions.
2. Scan live listings on Google, Facebook, Yelp, Nextdoor and three other platforms.
3. Compare spoken facts against live text and flag mismatches.
4. Draft corrected listing text and suggested review replies.
5. Post updates and photos after one-word approval.
6. Monitor third-party edits and competitor listing changes between sessions.

What goes in, what comes out

The workflow

1. In
   Start with

   Voice memos, phone photos, existing login credentials

2. 1

   Schedule monthly session

3. 2

   Open app and answer voice prompts

4. 3

   Upload fresh photos

5. 4

   Review suggested fixes

6. 5

   Approve or amend each fix

7. 6

   Post updates and replies

8. 7

   Receive push notification of what changed

9. Out
   Finish with

   Corrected listings, fresh photo sets, drafted and posted review replies, change log

AI does the heavy lifting, people stay in charge

Use voice models to transcribe fragmented and accented instructions, vision models to extract text and hours from screenshots, and language models to draft corrections and review replies. A human owner reviews every suggested fix and approves before anything is posted. Credential vault access is narrow and audited.

What your team sees

Key screens: Voice session, suggested fixes, change log. Use a single monthly session screen with a large voice prompt and a photo upload area. After the agent scans listings, show suggested fixes as cards with before and after text. Let the owner say yes or change this to each card. Show a change log with timestamps and platform icons. In this product, the first view is voice session, followed by suggested fixes and change log.

Accounts and administration

Per-location accounts, credential vault, narrow agent permissions, approval states, full audit trail of every change, and quarterly billing records.

Integrations and data access

Google Business Profile, Facebook Pages, Yelp, Nextdoor, three other review platforms, push notification service and a credential vault.

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

   2 days

   One buyer segment, one recurring use case; first modules: voice intake and mismatch detection. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

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

4. 4

   Full product

   5 days

   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 owner-operators at independent bakeries, dental practices and hardware stores use it to solve "local business listings rot because owners lack time and patience for platform logins"?
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. Run a four-week paid pilot with three independent businesses.
4. Measure, then decide. Track two measurable outcomes: percentage of listing mismatches corrected after the first session and and average time from voice memo to posted correction. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer: independent bakery owner. One use case: Google Business Profile and Facebook page corrections. First two modules: voice intake and mismatch detection. Manual review of all suggested fixes before posting.

After the MVP. After the paid pilot, automate routine photo posting, auto-detect third-party edits, generate monthly summary reports, and expand to Yelp and Nextdoor with the same approval flow.

What the build depends on. Reliable voice transcription for accented speech, vision models for screenshot parsing, secure credential storage, and platform APIs or browser automation for posting.

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

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.

Your brand, or this one

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

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at USD 99 per location per month, billed quarterly, with a USD 199 setup fee for the first audit.

Message to test

Your listings, defended while you sleep. One monthly sit-down, no logins.

Where to find buyers

Local chamber of commerce breakfasts, trade association newsletters and direct outreach to independent bakeries, dental practices and hardware stores.

Lead magnet

Free first audit: a one-page report of every mismatch across your live listings, with no obligation.

The first 30 days

1. Week 1: Build voice intake and structured question flow.
2. Week 2: Build scanner for Google Business Profile and Facebook.
3. Week 3: Build mismatch detection and suggested fix cards.
4. Week 4: Pilot with three local businesses and refine approval flow.

Paid pilot

Run a four-week paid pilot with three independent businesses. Baseline: number of incorrect listings and unanswered reviews before the agent. Decision: pilot succeeds if owners approve at least 80 percent of suggested fixes and report no login usage during the month.

Success metrics

Two measurable outcomes: percentage of listing mismatches corrected after the first session, and average time from voice memo to posted correction.

Retention and expansion

Monthly sessions become a habit, the change log builds trust, and quarterly billing reduces churn. The agent also flags competitor improvements, giving owners a reason to stay engaged.

Why clients would pick it

The credential vault and trust relationship deepen over time as the agent accumulates a full history of the business's listings, review responses and seasonal changes, making switching costly and risky.

Alternatives and positioning

Owners today use freelancers, junior marketing hires or ignore listings entirely. This differs by replacing dashboards with voice-to-action and by being priced at a fraction of a junior hire with no login burden.

Main delivery costs

Voice model inference, vision model scans, credential vault hosting, push notification infrastructure and human review of high-risk changes.

Credential vault with narrow permissions, one-word approval required before any post, full audit trail, no posting of reviews without explicit approval, and a hard rule that the agent never changes pricing or health and safety information without human confirmation.