Research and weekly reports built by hand.
Someone on your team spends Friday afternoons visiting websites, copying figures into a spreadsheet and writing up what changed. This scenario shows an AI agent doing the gathering, so people can do the thinking.
An illustrative scenario, not a client case study. It describes a common situation and how the system would handle it, with no client names and no promised results.
The problem
Think of a property management company tracking rents for similar units, a retailer watching competitor prices, a restaurant group following supplier price lists, or a marketing agency monitoring what competitors publish. The information is public, scattered across many websites, and changes all the time.
Keeping up means someone visits the same pages each week, copies figures into a spreadsheet and writes a short summary for the owner or a client. It is important work, but repetitive, and it is the first task dropped in a busy week. When it is skipped, decisions on pricing or positioning get made on stale information.
Paid market data tools exist for some industries, but they are often priced per seat and built for large companies, and they rarely cover the specific local competitors that matter to a small business.
Why the usual tools fall short
Website change alerts tell you that a page changed but not what it means, and they quickly fill an inbox with noise. Spreadsheet templates help structure the work but still need a person to fill them.
Subscription research platforms are powerful for broad market data. For a narrow, specific question, such as what five local competitors charge this week, they can be expensive and still miss the sources you care about.
How the AI solution works.
Define the questions
We agree what you want to know each week, such as rent for two-bedroom units in a set of ZIP codes, competitor prices for your top products, or new services launched by rivals.
Choose the sources
You list the websites, public listings and feeds the agent should check. It follows each site's terms and only reads publicly available information.
The agent gathers on a schedule
Daily or weekly, the agent visits the sources, extracts the figures and facts that answer your questions and stores them alongside past results.
It writes a short summary
Each week you receive a brief, plain-language report on what changed and what stayed the same, with a link to every source so you can check any figure.
You refine it over time
When a question changes or a source stops being useful, you tell the agent and the next report reflects it.
What changes
- The weekly report arrives on time, every week, even in busy periods.
- Decisions on pricing and positioning are based on current information.
- Every figure links back to its source, so the report can be trusted and checked.
- The person who used to gather the data now spends that time interpreting it.
What is needed to start
- The questions you want answered and how often
- The sources to check, and any you want excluded
- Who receives the report and in what format: email, a shared document or a spreadsheet
Human review and privacy
A person stays in the loop
The agent gathers and summarises, people interpret and decide. It flags figures that look inconsistent rather than smoothing them over, and it never acts on its findings, for example by changing your prices, unless you build that step in with approval.
Your data
The agent reads only publicly available information and respects website terms. Your questions and reports stay in your own workspace, and nothing is used to train public AI models.
Keep reading
- AI AgentsThe service behind this use case. Software helpers that move data between your tools, prepare reports and answer team questions from your documents.
- Team questions answered by the one person who knowsAnother AI Agents use case. An internal assistant answers staff questions from your own policies, price lists and guides, and links to the source so people can check.
- AI AccountingA related service. Invoices captured and coded, bank lines reconciled and month-end reports ready, with a person reviewing the results.
- All use casesEvery scenario, grouped by service.
Common across Los Angeles County.
This scenario comes up often for businesses in Santa Monica, Culver City, Burbank and Los Angeles. Audits, setup and check-ins happen online, so I work with teams anywhere in the county, and with clients worldwide.
Serving the Los Angeles area
- Los Angeles
- Santa Monica
- Pasadena
- Glendale
- Burbank
- Long Beach
- Beverly Hills
- Culver City
- Torrance
- Inglewood
Does this sound like your business?
Book a free AI audit. We look at how this work is handled today and whether AI Agents would help, with a person in charge of what matters. No obligation.
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