Short answer, as of October 2026: report multi-location SEO as a one-page roll-up plus a scorecard per branch with about eight measures — profile health, reviews, listing accuracy, map visibility, location-page status and customer actions — and flag each branch green, amber or red against its own previous period. The goal is that a regional manager can open it and know within a minute which branches need attention and what to do.
Reporting is where multi-location programmes most often stall. The data exists. Every branch has a profile with its own insights, its own reviews, its own listings and its own rankings. Multiply that by forty and you have a dashboard nobody opens. The answer is fewer measures, chosen for whether someone can act on them.
Three readers, three views
Before choosing metrics, decide who the report is for.
Head office wants the total, the trend and the exceptions. One page.
Regional managers want their branches side by side, with the weak ones obvious.
Branch managers want their own scorecard and a short list of things they can do themselves.
One dataset, three views. The common mistake is to build the head-office view only, which tells everyone the average and helps no one fix anything. Who controls which lever is a governance question as much as a reporting one, covered in franchise SEO: corporate vs franchisee.
The eight-measure scorecard
Each measure earns its place by being something a named person can change.
| # | Measure | What it shows | Who acts | Red flag |
|---|---|---|---|---|
| 1 | Profile completeness and accuracy | Hours, categories, services, photos present and correct | Central team; branch confirms hours | Wrong hours, missing primary category, unverified |
| 2 | Review count and recency | New reviews this period; date of the latest | Branch manager | No new reviews in the period |
| 3 | Average rating and reply rate | Rating trend; share of reviews answered | Branch manager, with central templates | Rating falling; reviews left unanswered |
| 4 | Listing accuracy | Share of key directories with correct name, address, phone | Central team | Conflicting address or phone anywhere |
| 5 | Map visibility | Share of nearby grid points where the branch is in the top three | Central team | Weak at the branch's own address |
| 6 | Location page status | Indexed, unique content, correct details and schema | Central team | Not indexed, or details differ from the profile |
| 7 | Customer actions | Calls, direction requests and website clicks from the profile | Both | Falling while visibility is steady |
| 8 | Open issues | Count of unresolved items from last month | Assigned owner | Same issue open two months running |
A few notes on the less obvious ones.
Map visibility (5) should come from a grid scan, because a single rank check hides most of the picture. How to run and read one is in geo-grid rank tracking.
Listing accuracy (4) is a percentage of the directories you have chosen to manage. The choice of how to manage them is in local listings management.
Location page status (6) exists because a page that is not indexed, or that disagrees with the profile, undermines everything else. What makes a location page worth indexing is in location pages vs doorway pages.
Customer actions (7) is the outcome measure. If visibility is steady and actions are falling, look at the profile itself: photos, hours, reviews, a competitor's new offer.
Open issues (8) is the accountability measure. It is the only one that reports on the people rather than the branch.
Flagging: green, amber, red
Numbers alone do not direct attention. A flag does.
Compare each branch with itself first. Green if the measure held or improved against the previous period, amber if it slipped a little, red if it fell past a set threshold or hit a red-flag condition in the table.
Then compare with similar branches. Group locations by market type: city centre, suburban, small town. A rural branch will never match a city branch on review volume, and ranking them in one list punishes the wrong manager.
Set thresholds once and write them down. "Red if no new reviews in the month." "Red if any core listing shows a wrong phone number." Agreed thresholds stop the monthly argument about what counts as a problem.
Limit the reds. If half the estate is red, the thresholds are wrong or the programme is, and either way the report has stopped prioritising. Aim for a list short enough to work through in a month.
The head-office roll-up
One page, five blocks.
- Totals and trend. Customer actions across all locations, this period against last and against the same period a year ago where you have it.
- Distribution. How many branches are green, amber and red, and how that has moved.
- The exceptions. The red branches by name, each with one line on why and who owns the fix.
- Estate-wide issues. Problems affecting many branches at once, such as a template error on location pages or a bulk listing mismatch. These are the highest-value fixes because one change repairs many locations.
- Completed last month. What was fixed and what moved as a result.
Leave averages of ratings and rankings off the first page unless they are accompanied by the distribution. An average of forty branches hides the three that are in trouble.
Where AI search visibility fits
Customers increasingly ask assistants for a recommendation near them, and a multi-location brand should know whether it is named. The difficulty is cost: prompts multiplied by engines, repeated runs and locations add up quickly.
The practical approach is to track at market level. Choose a short prompt set, run it for each region or major city, and report it as one line per market on the roll-up. Add per-branch tracking only for flagship locations. The method and its arithmetic are in multi-location AI visibility tracking, and the reporting format for those figures is in the monthly AI visibility report.
The monthly routine
A report nobody acts on is a cost. Tie it to a fixed routine.
Day 1–3: collect. Profile insights, reviews, listing status, grid scans, page checks.
Day 4: flag. Apply the thresholds. Produce the scorecards and the roll-up.
Day 5: distribute. Each manager gets their branches and only the measures they control, with the actions written as tasks.
Week 2: regional call. Fifteen minutes on the red branches. Owners and dates agreed.
Week 4: check. Were last month's open issues closed?
Quarterly: review the scorecard itself. Drop a measure nobody acted on. Adjust a threshold that flags too many or too few.
Common failures
- Too many metrics. Thirty measures per branch means none are read.
- One league table for unlike markets. It demoralises the managers with the hardest patches.
- Reporting what cannot be changed. Impressions are interesting. Unanswered reviews are actionable.
- No owner on an issue. An unassigned red stays red.
- Collecting by hand at scale. By twenty locations the gathering consumes the time that should go on fixing.
Tooling
Up to about ten locations, a well-kept spreadsheet is adequate. Beyond that, gather the data automatically. The broader operating model is in the multi-location SEO playbook.
DigiRank Expert brings the underlying measures into one place: Google Business Profile posts and review replies, a citations audit that flags listing mismatches, geo-grid heatmaps, site audits and Search Console and GA4 analytics. The Agency plan at $249/mo supports up to 15 tenants with recurring scheduled grid scans and white-label share pages; the Scale plan at $999/mo adds a portfolio dashboard that rolls up multiple sites and removes the caps. See the features page and the pricing page.
Frequently asked questions
What should a multi-location SEO report include? A one-page roll-up for head office showing totals, the trend and the branches flagged for attention, plus a scorecard per location with about eight measures covering the profile, reviews, listings, map visibility, the location page and customer actions. Detail beyond that belongs in a drill-down.
Which metrics matter most at location level? Customer actions from the Google Business Profile such as calls, direction requests and website clicks, review count and average rating with recency, listing accuracy, the share of nearby map points where the branch ranks in the top three, and whether the profile's core details are complete and correct.
How do I compare locations fairly? Compare each branch with its own previous period first, then with similar branches. A city-centre branch and a rural one face different competition and population, so group locations by market type before ranking them. Raw league tables across unlike markets mislead.
How often should multi-location SEO be reported? Monthly for the scorecards and roll-up, with a quarterly review of the measures and thresholds themselves. Local rankings and review profiles move slowly, so weekly reporting adds noise. Urgent problems such as a suspended profile should trigger an alert outside the cycle.
Who should receive the location scorecard? The person who can act on it. Usually that is the branch or regional manager for reviews, hours and photos, and the central marketing team for listings, pages and profile structure. Send each person only the measures they control.
Should AI search visibility be on the scorecard? Track it, but usually at market or brand level. Running prompts for every branch multiplies cost quickly. A practical approach is to track AI mentions for each region or major city and add a per-location line only for the branches that matter most.
How many locations before I need a reporting tool? A spreadsheet works for up to roughly ten locations if someone maintains it carefully. Beyond that, collecting profile, review, listing and ranking data by hand each month takes longer than acting on it, and a tool that gathers it automatically pays for itself in time.