What this report says, and what it does not
A benchmark is only useful if the number you compare means the same thing as the number it is compared with. This report is a guide to making that true for local SEO: choosing a peer group before looking at results, defining every metric, and recording the source, denominator and exclusions.
It sets out working definitions for review volume, review velocity, reply rate, local visibility and profile actions, a rubric for assessing reply quality, a field audit for profile accuracy, and a six-step workflow for building a comparison across one business or an international network.
Despite its title, the report publishes no benchmark values. Its diagrams show how to read a cohort and contain no observed data, and its scorecard is left for readers to fill with their own records. It combines official Google documentation with an analytical framework and does not assert an original global sample.
Key points
- Choose the peer group before you see the results. Flento benchmarking framework.
- Review volume is a distribution, not a number. Flento benchmarking framework.
- Review velocity needs a complete window. Flento benchmarking framework.
This report does
- Define the metrics a local SEO benchmark should use, with formulas and caveats.
- Explain how to choose peers, align windows and report distributions.
- Cite Google documentation for the profile, ranking and performance concepts it relies on.
This report does not
- Publish peer medians, percentiles, averages or any benchmark values.
- Claim an original worldwide sample of businesses or profiles.
- Infer causation from co-movement between a practice and an outcome.
Scope. Global framework. It does not claim an original worldwide sampled benchmark.
Key findings
Each finding shows who measured it and what it covers. The tag shows the kind of evidence behind it: platform documentation, a third-party study, a Flento framework or a synthetic example.
Choose the peer group before you see the results
Market, business type and selection route determine what a benchmark means. A sample built only from top-ranking businesses is biased toward businesses that are already visible, so the report recommends defining city, industry and service model first and documenting inclusion, exclusion and source route.
Scope: Flento benchmarking framework
Review volume is a distribution, not a number
The report recommends describing review volume with the median, the middle 50%, selected percentiles, peer count and capture date, for a defined industry, market and business type. Its diagram shows how to read a cohort and contains no observed values.
Scope: Flento benchmarking framework
Review velocity needs a complete window
Velocity is defined as eligible new reviews divided by complete observed months, using dated history or reliable snapshots, and accounting for active days, holidays and seasonal demand. It is separate from the lifetime review total.
Scope: Flento benchmarking framework
Reply rate keeps unanswered reviews in the cohort
Reply coverage is replied eligible reviews divided by all eligible observed reviews, with a fixed review window and one common follow-up period. A last-edited reply date cannot prove when the first response happened, and unanswered reviews stay in the cohort.
Scope: Flento benchmarking framework
Visibility is coverage, not one rank
The report defines top-three coverage as top-three appearances divided by valid scheduled observations, and recommends publishing the result surface, keyword set, distance bands and valid observation count. Google describes relevance, distance and prominence as the dimensions of local ranking and publishes no weights.
Scope: Flento framework; Google documentation
Source:Google: Tips to improve your local ranking (opens in a new tab)
Discovery, interaction and value are three separate units
Impressions by surface and device, call, website and direction clicks, and qualified enquiries or completed sales are different measures. Profile action metrics do not by themselves establish purchases.
Scope: Google Business Profile performance documentation
Sources:Google: Business Profile performance & insights (opens in a new tab)Google: Performance API: DailyMetric definitions (opens in a new tab)
A global average needs explained weighting
The report advises showing country cohorts before rolling up to regional or global views, and says a global average without sample and weighting is not a useful local benchmark.
Scope: Flento benchmarking framework
Observational comparisons describe associations
A practice can correlate with outcomes for reasons outside that practice. The report recommends matched windows, a record of other changes such as ads, holidays and offers, and no causal claims from co-movement.
Scope: Flento benchmarking framework
Source:Google: Business Profile performance & insights (opens in a new tab)
Charts and figures
Each figure is labelled as reported data, a synthetic example or a conceptual illustration. Synthetic and conceptual figures are not measurements.
Metric definitions
Never compare differently defined numbers as if they share one unit. Use consistent dates and eligibility rules across markets.
| Metric | Definition | Important distinction |
|---|---|---|
| Review volume | Displayed lifetime count at capture | Separate from collected records |
| Review velocity | Eligible new reviews ÷ observed months | Needs complete dated history |
| Reply rate | Replied ÷ eligible observed reviews | Allow common follow-up |
| Local visibility | Top-three ÷ valid observations | State keyword and grid |
| Profile actions | Documented interaction counts | Clicks are not sales |
Review cadence
The formula the report recommends. It contains no data.
Eligible new reviews
Complete observed months
Reviews per month
Read this correctly. Use dated history or reliable snapshots. Account for active days, holidays and seasonal demand.
Reply coverage
The formula the report recommends. It contains no data.
Replied eligible reviews
All eligible observed reviews
Reply share
Read this correctly. Fix the review window and allow one common follow-up period.
Top-three coverage
The formula the report recommends. It contains no data.
Top-three appearances
Valid scheduled observations
Coverage share
Read this correctly. Publish the result surface, keyword set, distance bands and valid observation count.
Reply quality rubric
Useful replies are more than a speed metric. A qualitative rubric needs clear coding instructions and human review.
| Dimension | Reviewer question | Validation |
|---|---|---|
| Specificity | Addresses this feedback? | Code examples in each language |
| Acknowledgment | Recognizes experience accurately? | Resolve coder disagreement |
| Resolution | Appropriate next step? | Do not treat reply as outcome |
| Clarity | Easy to understand? | Review human-readable samples |
Benchmark scorecard template
A decision aid. The report leaves it empty for you to fill with your own records and contains no invented peer values.
| Benchmark | Peer filter | Summary to compare |
|---|---|---|
| Review volume | Country + industry + type | Median and middle 50% |
| Review cadence | Complete common window | Reviews per observed month |
| Reply coverage | Eligible review window | Reply share + follow-up |
| Local visibility | Common query + grid | Top-three coverage |
| Profile actions | Authorized matching period | Metric by action type |
Six steps to build the comparison, then improve
A repeatable workflow for one business or an international network.
1. Define
Decisions, markets and peers
2. Check
Source coverage and fields
3. Collect
Consistent window and status
4. Compare
Relevant distributions
5. Interpret
Context and uncertainty
6. Improve
Practical action and review
Read this correctly. Preserve all exclusions, calculations and missing-value status for reuse.
What to do with the evidence
These are Flento's editorial recommendations. They follow from the report, but they are not findings and not guarantees of results.
- Document the cohort. Record city, industry, service model and how each peer was selected, including the full range of results, not only the top.
- Keep public observations and private metrics apart. Do not merge what customers see with authorised performance data unless the definitions match. Unknown coverage is not zero activity.
- Show the denominator. Every rate needs its numerator, denominator, window and exclusions beside it.
- Do not penalise fields that do not apply. Code each profile field as present, missing, unknown or not applicable, rather than using one opaque completeness score.
- Run a four-week cycle. Week 1 baseline, week 2 feedback, week 3 information, week 4 measure. Save the dated audit, source exports, issue log and publication record.
Methodology and limitations
How the report was built
The report combines official Google documentation with an analytical comparison framework. It considers two lenses: what customers can see on a profile, and what owners can measure through authorised data, and it warns against joining the two without matching definitions.
The distribution diagram, the visibility grid schematic and the scorecard are illustrations of method. They carry no observed values, ranking results or peer data.
Limitations
- The report does not assert an original global sample, and it does not publish benchmark figures.
- Because it is a framework, it cannot say what a typical review count, reply rate or visibility score is for any market or industry.
- Google's documentation and feature availability change. Check live documentation before changing an operating workflow.
Sources
Links open the publishers' own pages. Check them for the current version, since platform documentation changes.
- Business Profile performance & insights · Google (opens in a new tab)
- Tips to improve your local ranking · Google (opens in a new tab)
- Performance API: DailyMetric definitions · Google (opens in a new tab)
- Create & manage Business Profile posts · Google (opens in a new tab)
- Manage customer reviews · Google (opens in a new tab)
- Guidelines for representing your business · Google (opens in a new tab)
Cite this report
Reed, K. (2026, October 19). Local SEO Benchmark Report 2026. Flento Research. https://www.flento.io/downloadables/report/local-seo-benchmark-2026
Journalists, researchers and publishers are welcome to quote this report and use its figures. Please attribute them to Flento Research; a link to this page is appreciated but not required.
Third-party figures belong to their original publishers. When you use one, attribute it to the publisher named beside it, such as Pew Research Center or Google.
Canonical page: https://www.flento.io/downloadables/report/local-seo-benchmark-2026
