SEO share of voice worksheet with fixed queries, dates, competitor domains, scoring rules, and evidence fields

SEO

SEO Share of Voice: Build a Consistent Competitor Comparison

2026-09-06 By Tim Francis 9 min read

SEO Share of Voice: Build a Consistent Competitor Comparison

SEO share of voice compares your search visibility with a fixed group of competitors and queries. A sound comparison records the date, device, location, scoring rule, and query set. These controls help show useful changes without treating a modeled score as traffic, sales, or market share.

SEO share of voice worksheet with fixed queries, dates, competitor domains, scoring rules, and evidence fields
SEO Share of Voice: Build a Consistent Competitor Comparison

Small businesses often need a clear way to compare search visibility. That need may cover one service area or the whole United States. Yet rankings shift by query, date, device, location, and result type. One search cannot sum up that mix. A fixed-query method creates a fairer view. It sets the searches, competitors, dates, and scoring rules before collection starts. The score can then show direction and gaps. It cannot prove that people saw each result, visited the site, or became customers.

How should SEO share of voice be defined before comparison?

SEO share of voice is your weighted visibility within a fixed search set. The definition should name the queries, domains, dates, devices, locations, and scoring rule. Link the result to clear SEO KPIs and place those limits inside a useful search report.

The word “share” needs a clear total. Here, that total is all position points earned by the chosen domains. Suppose your site earns 40 points. The full group earns 100 points. Your observed share is 40%. That figure applies only to the set you measured.

No single percentage counts as good for every business. A directory or large publisher may appear for many broad searches. A small firm may care more about a few buying terms. Review each query group before judging the full score. Brand terms should sit in their own group. They often reflect demand that already exists.

A 100% score also has strict limits. It means one domain earned all scored points in the model. It does not mean every searcher saw that domain. It says nothing certain about clicks, leads, sales, or market share. State this limit beside every chart.

Which query set makes SEO share of voice useful?

A useful SEO share of voice set reflects real customer needs. It should not include every phrase found by a tool. Separate brand terms from discovery searches. Then match each group to a clear conversion action or another business goal before assigning scores.

Start with the choice the report should support. A local firm may compare service-and-city searches inside its real service area. A nationwide firm may study category terms across one national setting. Do not blend both scopes. Location can change who appears and which offers make sense.

Use a small set with clear roles. Include core services, buyer problems, comparison searches, and valid place terms. Remove job searches, support requests, and unrelated meanings. Exclude services the business does not sell. More queries do not always create a better view.

Give each query an intent label and weight. For example, use 1 for early research, 2 for active review, and 3 for strong buying intent. These values are choices, not measured buyer odds. Record one short reason for each weight. Keep a query only when the team can name its purpose, target page, and business fit.

How should a team collect SEO share of voice consistently?

Collect SEO share of voice with the same queries, domains, device, location, and time window. Record these controls in the monthly report. Keep the rules beside any Search Console comparison so the team can explain changes later without guessing how the data was collected.

  1. Freeze the query-set version.
  2. Confirm device and location.
  3. Use one collection method.
  4. Record ranks and result types.
  5. Save dates and source files.
  6. Calculate after collection ends.

Choose one named day or one fixed date range. The right choice depends on the tool and report. Do not compare a Monday desktop check with a Friday mobile check. Manual searches may change with location or sign-in state. Rank tools also use their own collection rules. Save those settings.

Record the ranking page and result type. Mark service pages, articles, products, directories, local results, and answer features. These details explain why attention may shift even when rank looks stable.

Google says Search Console figures can differ due to processing, grouping, definitions, and hidden anonymous queries. Its data notes support using steady filters and periods. Treat a missing value as missing proof. Do not turn it into rank zero without a stated rule.

How can SEO share of voice avoid false precision?

Calculate SEO share of voice from a stated point scale and fixed total. Keep that percentage beside click-through context and clear report notes. The result shows relative visibility inside your model. It does not measure each searcher’s real attention.

Use this fill-in worksheet for each cycle. Save every version.

Record this input.Fill in this value.Apply this decision.Keep this evidence.
Define the market scope.Write the location basis.Use one location rule.Save the location setting.
Name the query version.Write the version number.Make no mid-cycle additions.Save the dated query list.
Set the brand treatment.Choose separate or combined.Prefer separate group totals.Keep each query label.
Set the domain group.List every compared domain.Keep domains fixed per cycle.Save the dated domain list.
Set the position scale.Write each point value.Approve rules before collection.Keep the scoring note.
Set query weights.Enter 1, 2, or 3.Base weights on business fit.Write a short intent note.
Set the collection window.Enter the start and end dates.Use the same window type.Save exports or screenshots.
Set a reset trigger.Name the change event.Start a new baseline.Keep a dated change record.

Multiply each position score by its query weight. Add the weighted points for each domain. Divide one domain’s points by all compared points. Then multiply by 100. Illustrative totals of 40, 35, and 25 yield 40%, 35%, and 25%. These sample values are not observed results. Changing the point scale starts a new baseline.

Which competitor gaps should an SEO report reveal?

An SEO report should reveal gaps by query group, intent, page type, and result format. Compare those gaps with possible technical SEO work and the true scope of local search work. A competitor rank does not always mean you need another page.

Break the total into groups before planning work. One domain may lead on research terms due to useful articles. Another may lead on buying terms because its service pages answer key questions. A single domain score hides these causes.

Classify each useful gap as protect, build, repair, or defer. Protect a strong page that fits the query. Build only when a distinct buyer need lacks a page. Repair a relevant page with weak content, poor links, or search access issues. Defer queries with weak business fit.

A page plan should pass three checks. The reader need must differ from existing pages. The page must fit the real offer. It also needs a clear place on the site. Do not create many thin city or keyword pages from small wording changes.

Track new ranking domains as notes first. Add them during a planned reset. Adding a domain mid-cycle changes the total and every share. That can make a method change look like a search loss.

How should search share connect to leads and sales?

Use search share as a visibility sign, then check impressions, clicks, sessions, and agreed actions. Read on-site activity through GA4 reports. Define each useful action with a clear conversion measure. Keep these units separate from the visibility score.

Search Console defines clicks, impressions, click-through rate, and position under its own rules. CTR equals clicks divided by impressions. Position and result type affect how that rate should be read. Google’s performance definitions show why a point score is not a click forecast.

After a share gain, check the same query group. Did impressions rise for the intended terms? Did clicks change? Did the matched pages produce useful forms, calls, orders, or other agreed events? The answer depends on sound tracking and enough data. Visibility can improve while business value stays unclear.

Search clicks and Analytics sessions should not match exactly. Google defines sessions as groups of user actions. A click uses a different unit. Its session notes explain that gap. Keep measured results apart from forecasts in any SEO ROI review.

When should the SEO share of voice baseline reset?

Reset the SEO share of voice baseline after a major change to queries, domains, location, device, score rules, or the business offer. Explain the break in report notes. Check current service pricing when the new scope may require added work.

A routine update repeats the same method on new dates. A reset changes the method and begins a new series. Do not draw one trend line across both. Show a clear break on the chart and in the written notes.

Set reset triggers before collection. Common triggers include a new service, a closed region, a device change, or a large query update. A domain that no longer serves the same buyer may also leave the set. Search result format changes may call for review, depending on their effect.

Keep the old baseline. Record its final date and closure reason. Give the new model a version number. If useful, run both models during one collection window. This overlap can show how much changed due to the method. It cannot remove normal search shifts.

Another team member should be able to redo the math from saved files. If key inputs are missing, label the result as provisional. Do not fill gaps with an unstated estimate.

A steady SEO share of voice model helps teams compare search visibility without confusing it with demand, traffic, or sales. Keep the query set small. Save dates, settings, rules, and source files. Separate brand terms and reset the baseline when the method changes. For help shaping a clear search plan, view SCALZ services or contact SCALZ with your scope and reporting needs.

This article uses AI-assisted drafting under SCALZ.AI editorial responsibility. Its planning tools are guidance, and any labelled examples are illustrative.

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Questions

Frequently asked questions

What is a good share of voice percentage?

There is no universal good percentage. Compare the score with past results from the same query set, domain group, device, location, and point scale. Then review the query intent and business fit. A high score from brand terms or weak searches may offer little value.

What does 100% share of voice mean?

Within this fixed-query model, 100% means one domain earned every available visibility point. The result applies only to the chosen queries, domains, dates, settings, and score rules. It does not mean every searcher saw the site, clicked a result, or became a customer.

How does share of search differ from share of voice?

Share of search often compares how much people search for named brands or topics. SEO share of voice compares how selected domains appear for a fixed query set. One concerns relative search demand. The other concerns scored organic visibility within a defined observation method.

How does market share differ from SEO share of voice?

Market share uses a defined sales measure, such as revenue or units. SEO share of voice uses weighted search positions from a controlled query set. A firm may have high search visibility but modest market share. It may also have strong sales with weak visibility for the selected terms.

How often should SEO share of voice be measured?

The schedule should match the business decision and collection method. Monthly checks are often practical, but seasonality may call for another window. Consistency matters more than speed. Keep queries, domains, device, location, score rules, and evidence needs fixed between periods you plan to compare.

Tim Francis

Founder, SCALZ.AI

Tim Francis is the founder and CEO of SCALZ.AI, an AI search optimization agency headquartered in St. Augustine, Florida. He leads AEO, GEO, and LLM SEO strategy across a 50-state local-SEO site portfolio and is the architect of the SCALZ publishing platform. His work is grounded in live ranking data, not theory. Read more about Tim Francis or see our AI SEO services.

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