Publishing your own local data sounds like work for a research team, and you are one person finishing up after a long day. You have no launch, no award and no news to point to. You do have a year of completed jobs, and that is enough to start.
A small business can publish useful original information by counting records it already owns, such as completed jobs by month, response times or service counts by town. Say what dates the count covers, remove anything that could identify a customer, check the total against your invoices, and put one finding in a dated table.
The page may earn attention from reporters, partners and search, but nothing guarantees a link, a mention or an AI citation. It is worth publishing because a reader can see what you counted and check it. Ten minutes tonight will tell you whether you have a number worth sharing.
Key Takeaways
Completed jobs by month, service counts, response times and counts by broad area are first-hand numbers that no one else can publish for your business.
Pick a complete period, count one thing, and write the finding with the actual total before you build anything.
Check the total against invoices or your scheduling system, and hold the page if the count does not match.
Remove names, addresses, phone numbers, emails, exact appointment dates and identifying photos, and combine small categories.
A clear scope and a named contact give reporters and partners something to use, but no one can promise links, coverage or AI citations.
You already own numbers that no one else can publish
Google Search Central asks whether a page offers "original information, reporting, research, or analysis" and shows first-hand experience, as laid out in its guidance on helpful content. It also asks whether a page adds real substance beyond obvious summaries and whether a reader would bookmark it or recommend it. A count from your own dated job records fits that description when the page explains what was counted and where the limits are.
You do not need a survey, a national sample or a page with hundreds of rows. A small, clearly defined operational dataset can be original information, as long as the claim stays within the records you actually have. Your job system probably already holds several candidates:
- Completed jobs by month: Shows your busy and slow seasons.
- Jobs by service type: Shows which of your services people book most.
- Counts by town or broad area: Shows where your work is concentrated.
- Response time: How quickly a new inquiry gets a first reply.
- Time to completion: How long a typical job takes from booking to done.
- Price ranges: Quoted and final ranges for a common job, never a single customer's invoice.
- Repeat work and callbacks: How often customers come back or need a warranty visit.
Pick the one that answers a question your customers, or the people who send you customers, already ask. A plumber, a landscaper and a tax preparer will each have a different best choice, and the best choice is usually the one you can count and defend without a long explanation.
Ten minutes is enough to find your first publishable count
Choose one complete period, such as the last calendar year, and one count, such as completed service jobs by month. Then write the one sentence that count supports: "From January through December [year], this business completed [actual total] service jobs, with the highest monthly count in [month] and the lowest in [month]." Fill the brackets only with numbers you have verified.
- Pick the period: A full year or full quarter, with a start date and an end date.
- Pick the count: One measure, such as completed jobs, with a written rule for what counts as a job.
- Note what was included: Write down whether canceled, unpaid, warranty, repeat or subcontracted jobs are in the total.
- Reconcile the total: Compare it with your invoices, your scheduling system or another operational record.
- Ask someone else to check it: A person who did not compile the numbers can confirm the table matches the source.
If the count cannot be reconciled quickly, hold it back until it can. A number that does not match your own invoices is the one most likely to cause trouble later with a reporter, a partner or a customer who knows better.
If the total is very small, or the category could point to one household, combine categories or choose another measure. A monthly count of all jobs is rarely a privacy problem. A count of one rare service in one small neighborhood might be.
Fix the definitions before anyone else reads the table
The usual trouble with a first data page is operational, not technical. Watch for a vague idea of what counts as a job, date ranges that do not match from one line to the next, duplicated records, canceled work counted in one place and left out of another, town or service names spelled three different ways, and very small categories that expose a customer. Another is a page that leaves out its date and scope.
These are small repairs when you catch them early. A written inclusion rule and a short reconciliation fix a definition problem. Exporting the records, standardizing the dates and removing duplicates fixes a date problem, which is a small to medium task depending on how the records are kept. A short controlled list of service names and towns fixes inconsistent labels.
Privacy problems range from small to substantial, depending on how sensitive the records are. Unsupported claims are fixed by narrowing the wording to what the records show.
Your records describe your jobs. They do not describe every job in your town or your trade. So, write the finding as "this business completed" rather than "homeowners in this area need," and the page stays accurate.
The page needs a plain headline, one table and one sentence about the records
Build the page in the order a reader looks at it. Start with a headline that states the finding, such as the total and the period. Follow it with a compact table, then one sentence describing the records included, the dates and the exclusions. End with a named contact who can answer questions.
| Measure | Period | Count or range | Scope |
|---|---|---|---|
| Completed service jobs | [Start date] to [end date] | [Verified total] | All completed jobs; canceled and unpaid jobs excluded |
| Busiest month | [Same period] | [Month and count] | Same scope as above |
| Slowest month | [Same period] | [Month and count] | Same scope as above |
| Five most common service types | [Same period] | [Count for each type] | Types with very small counts combined into "Other" |
| Jobs by broad area | [Same period] | [Count per area] | Grouped by region, not by street or neighborhood |
The brackets are placeholders. Replace each one with a figure from your own reconciled records, and leave a row out if you cannot support it.
Add the signals that tell a reader who stands behind the numbers: your business name, the name of the person who compiled them, a publication date, an update date, and a link to your About page. Use a real HTML table so it can be read by people and by software. If you add structured data, Google's introduction to structured data says it can help systems understand a page but does not guarantee a rich result, and the markup should match what the page visibly shows.
When you update the page next year, keep the earlier definitions or label the change. Quietly redefining a job from one year to the next makes the comparison meaningless.
Customer privacy comes before the publish button
Publish totals and ranges, never rows from your customer list. Before anything goes public, remove names, addresses, phone numbers, email addresses, exact appointment dates and photographs that show identifying details. Then look for unusual combinations, such as one rare service in one small town in a single week, that could point to one person.
| Publish | Remove or combine |
|---|---|
| Monthly totals for a full period | Exact appointment dates |
| Counts by service type | Customer names, phone numbers and emails |
| Counts by broad area or region | Street addresses and neighborhood-level detail |
| Price ranges for a common job | A single customer's invoice amount |
| Photos of finished work with no identifying details | Photos showing house numbers, license plates or faces |
Grouping numbers lowers the exposure, but it does not automatically make a dataset anonymous. A small category, a rare service, an exact date or a distinctive location can identify a customer when someone combines it with public information. Combine small categories into a larger group until no single customer can be picked out.
The NIST Privacy Framework covers data minimization and privacy risk management, which is the habit to follow here: use only what the finding needs. State rules differ. California's attorney general describes rights for consumers to know, delete and opt out of sale or sharing under the CCPA. Colorado's attorney general describes duties for covered controllers to minimize data, avoid incompatible secondary uses, get consent for sensitive data and use reasonable security under the Colorado Privacy Act.
Health, financial, child, biometric and other sensitive records need specialized review. Have a qualified attorney confirm which state, federal, contract and industry rules apply to your records before you publish totals drawn from them.
A short note to the right people gets the page seen
Once the page is live, send a brief note to the people who might use the number. Local reporters, trade associations, referral partners, your chamber of commerce and local bloggers are all reasonable recipients. Keep the note to four things: the URL, the headline finding, the period it covers, and a person who can answer questions.
A pitch that reads like an ad rarely helps. A reader who finds a clear table, a stated period and a name to call has something to work with. Do not put the table behind a form, and do not send the same promotional message to everyone. The sponsorships, events and partners already in your community are the natural first recipients, since they know your work.
A data page is not a press release, and it is read differently. A release announces something that happened. A data page gives a reporter or partner a fact they can quote later. If you are comparing the two, whether press releases help SEO covers that choice.
A data page earns attention, and no one can promise the result
Google's AI optimization guide describes first-hand material as more useful than recycled summaries, which is the reason a page of your own numbers can stand out. Google's AI features documentation adds a plain requirement: a page has to be indexed and eligible to appear in Search with a snippet to be linked in AI Overviews or AI Mode. Check in Search Console that the page is indexed and not blocked.
Beyond that, visibility is not a promise. A large number is not automatically newsworthy, and an indexed page is not automatically cited. The slow, controllable work is making the page clear, accurate and easy to find. If you want the AI side in more detail, our post on getting cited by ChatGPT walks through it, and our generative engine optimization service covers how pages are prepared for AI answers.
Treat any links you do earn as a bonus. If link-building is your main goal, how to get backlinks for a small business covers the wider options. Track what happens after you publish: note who replied, which pages link to yours and whether visits to the page grow. Those are numbers you can also use on the next update.
Some businesses hand the work off, and the reasons are specific
You can produce the first number yourself, in about ten minutes. Help earns its place when the records are scattered across a spreadsheet, an old scheduling tool and a paper notebook, when different people define a job differently, when you are unsure which customer details are safe, or when you want the page rebuilt and sent out again every year.
That kind of help covers accuracy review, privacy-conscious grouping of the numbers, building an accessible page, and a repeatable process for updating and outreach. It reduces your internal effort and the chance of an avoidable error. It cannot buy a guaranteed number of mentions, rankings or citations, and a quote that promises one is not a quote to trust.
Is your local data page ready to publish?
Pick an answer to begin.
1. What should the first sentence of a local data page contain?
2. Which detail is safe to publish on a data page?
3. Your count of one rare service in one small area is very low. What should you do?
Frequently Asked Questions About Publishing Your Own Local Data
What data can a small business publish?
Aggregated counts, ranges and trends from its own operations, such as completed jobs by month, service counts or broad-area totals, provided the claim matches the records' scope.
Do I need a survey to publish original data?
No. A clearly defined operational dataset, like completed jobs by month, can be original information. What matters is a stated period, a clear definition and a total you have checked.
How do I protect customers when I publish a total?
Remove direct identifiers, combine small categories, avoid rare combinations, limit who can see the source records and keep only what you need. Ask a qualified attorney about sensitive records.
How much data do I need?
There is no universal minimum. The dataset needs to be large enough to support the stated claim without pointing to any one customer.
Will reporters cite my numbers?
They may, if the finding is relevant, easy to understand, credible and easy to verify. No citation is guaranteed.
Will Google or AI assistants cite my page?
The page has to be indexed and eligible for Search with a snippet to be linked in Google's AI features. Visibility and citation are not guaranteed.
The Bottom Line
A page of your own numbers works because it is specific. Pick one complete period and one count, write the finding as one sentence with the real total, and match it to your invoices. Present it in a small table with the scope, the exclusions and a named contact. Strip out anything that could identify a customer, and combine small categories.
Done once, the page becomes something you can point to. A reporter, a referral partner or a chamber of commerce has a dated fact about your work to use, and next year's update is a short job because the definitions are already written down.
If your records are scattered, your definitions do not agree or you want the page built and sent out on a schedule, Web Leveling can do that work with you. Our content marketing work covers the page, the privacy review of the numbers and the outreach, and we will not promise a number of links or mentions. We work with small and medium businesses across the country and overseas. Tell us what records you have and we will tell you what one page could show.
Terms
Words used in this post
Tap a term to see what it means.
Original data. Information from your own records, such as job counts, that no one else can publish for your business.
Aggregate. A total or range that combines many records so no single customer shows.
Reconcile. To compare a published total with invoices or scheduling records and confirm they match.
Data minimization. Collecting, keeping and publishing only the information a purpose requires.
Re-identification. Working out who a person is by combining a small category or rare detail with public information.
Indexed. Stored in Google's search index, which a page needs before it can appear in results.
