What is this course about?
AI makes it easy to produce a large volume of marketing that ranks for nothing. This course covers the local search fundamentals AI cannot do for you, turning real customer questions into content that ranks, structured data for local business, and ad testing that produces a signal on a five-hundred-dollar monthly budget.
Who is this course for?
- Owner-operators doing their own marketing
- Small marketing teams of one to three
- Local service businesses
- Multi-location and franchise marketers
What do I need before starting?
- An existing website and business listing
- No technical background required
What will I be able to do afterwards?
- Complete the local search fundamentals AI cannot do for you
- Turn real customer questions into content that ranks
- Write service-area pages that are genuinely specific
- Implement structured data for local business and services
- Test ad copy on a small budget and read the result honestly
What does each module cover?
What must you do yourself before any content?
40 minBusiness listing accuracy, categories, and citations — the fundamentals AI cannot substitute for.
Objectives
- Audit and correct your business listings
- Choose categories that match search intent
- Fix citation inconsistencies
Topics
Activity. Audit your listings across the major platforms and fix every inconsistency.
How do you turn customer questions into content?
45 minMining real inquiries for the questions people actually search.
Objectives
- Extract recurring questions from support and sales conversations
- Match questions to search demand
- Answer in a way that ranks and helps
Topics
Activity. Mine 100 real customer conversations for the top ten recurring questions.
How do you write service-area pages that are not templates?
45 minLocation pages with genuine local specificity rather than a find-and-replace town name.
Objectives
- Identify what makes a location page genuinely specific
- Ground pages in real local work and knowledge
- Avoid the doorway page pattern
Topics
Activity. Write two location pages and have someone local judge whether they read as real.
How do you use reviews as content?
40 minTurning review themes into content and structured data without violating testimonial rules.
Objectives
- Extract themes from reviews for content
- Display reviews with correct structured data
- Stay within FTC testimonial rules
Topics
Activity. Extract themes from your reviews and turn the top three into content.
What structured data does a local business need?
40 minLocalBusiness, Service, and review markup implemented correctly.
Objectives
- Implement LocalBusiness and Service markup
- Validate structured data
- Avoid markup that misrepresents the business
Topics
Activity. Implement and validate structured data on three pages.
How do you test ads on $500 a month?
45 minGetting a readable signal from a budget too small for conventional testing advice.
Objectives
- Design tests that produce signal at low spend
- Avoid over-interpreting small-sample results
- Sequence tests to learn fastest
Topics
Activity. Design a four-week test plan for a $500 monthly budget.
What cadence can you actually sustain?
35 minSocial and email rhythm designed around a real week rather than an aspirational one.
Objectives
- Set a cadence you can maintain for a year
- Batch production to fit real availability
- Recover from a missed period without abandoning
Topics
Activity. Build a 90-day calendar and check it against your actual weekly availability.
Building the 90-day plan
45 minThe workshop module: a dated content calendar with structured data and a test plan.
Objectives
- Assemble the 90-day content calendar
- Include structured data and ad testing
- Define what you will measure
Topics
Activity. Build the 90-day plan and cut it until it fits your real available time.
What is the capstone project?
90-day local marketing plan with structured data live
Produce a 90-day marketing plan grounded in real customer questions, with corrected business listings, two genuinely specific location pages, validated structured data, and a low-budget ad test plan with honest success criteria.
Deliverable: A dated 90-day plan plus live structured data and corrected listings.
How are learners assessed?
- Location pages judged by someone local for whether they read as real
- Structured data validated with no errors
- Content calendar checked against real available hours
What ships with the course?
Facilitator guide
Session-by-session running order, discussion prompts, and the questions that reliably derail a room.
Learner workbook
Exercises, checklists, and the templates each module's activity produces.
Hands-on lab environment
A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots.
Assessment bank
Scenario questions and rubric criteria mapped to each stated learning outcome.
Source bibliography
Every primary regulation and standard cited on this page, linked and dated.
Which AI agents does this course use?
The hands-on modules run against agents already deployable on the ibl.ai platform for small business.
Where does the course material come from?
Every module is grounded in primary sources — the regulation, standard, or research itself, not a summary of it. Each was resolved at authoring time.
- Course structured data
Google Search Central
Reference implementation for structured data patterns taught in Module 5.
- Business guidance
Federal Trade Commission
Testimonial and endorsement rules governing review content in Module 4.
- U.S. Small Business Administration
SBA
Marketing operations guidance and budget benchmarks.
- Ideas Made to Matter
MIT Sloan
Research on small business marketing effectiveness.
Delivery notes
Binding guidance for anyone preparing and delivering this course.
- Module 3 must confront the doorway page risk directly. Mass-generated location pages are a real penalty risk and the course should teach the honest version even though it scales worse.
- Module 6's low-budget testing needs statistical honesty. At $500 per month most tests will not reach significance, and saying so is more useful than teaching a test that produces noise.
- Ground all content work in the learner's real customer conversations. Content generated from keyword lists is exactly the volume-that-ranks-for-nothing problem the course opens with.
- Do not teach tactics that depend on one search engine's current behavior. Fundamentals — accurate listings, genuine specificity, real answers — survive algorithm changes.
- Module 7's cadence work should end with the plan being cut. Owners always plan more than they can sustain, and the cutting is the lesson.
Why run AI training on a platform you own?
You own the course, not a licence to it
Course content, learner data, and the platform run inside your perimeter — you own all the code and the data.
Model-agnostic delivery
Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime.
No per-seat training licences
Usage-based or self-hosted, so cost tracks actual use rather than headcount.
Deploy anywhere
Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools.
Frequently asked questions
What does the AI Marketing for Local Business: Content, Search, and Ads course cover?
AI makes it easy to produce a large volume of marketing that ranks for nothing. This course covers the local search fundamentals AI cannot do for you, turning real customer questions into content that ranks, structured data for local business, and ad testing that produces a signal on a five-hundred-dollar monthly budget. It runs 4.5 hours across 8 modules across 8 modules, at foundational level, and closes with a capstone: 90-day local marketing plan with structured data live.
Who should take AI Marketing for Local Business: Content, Search, and Ads?
It is written for Owner-operators doing their own marketing, Small marketing teams of one to three, Local service businesses, Multi-location and franchise marketers. Prerequisites: An existing website and business listing; No technical background required.
Can we run this course on our own infrastructure?
Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data, submissions, and any material learners upload stay inside your perimeter, which matters for small business teams that cannot send work to a public AI tool.
How do we get access to AI Marketing for Local Business: Content, Search, and Ads?
Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us the group size and timing you need, and whether it should run inside your own perimeter.
How much does AI training for small business cost on ibl.ai?
There is no per-seat pricing — you pay for usage or self-host and pay only for the infrastructure, so a 5,000-person rollout does not cost 5,000 licences. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.