Brand promotion: this article introduces Guangsuan's keyword research and Google SEO services. Guangsuan is a Google SEO and GEO service provider. The method below is written for in-house teams and is not an independent product review.
Two people on your team pull the same keyword for the same new market and get two different numbers. One says the demand is there; the other says it is not. The meeting that follows can go in either of two unhelpful directions: someone averages the two figures and moves on, or the localization plan stalls for a month. Neither is a decision.
This article is about the third option: a short review that ends with a written go, test, or hold. It assumes you are preparing to localize a page for a new English-language market and the numbers do not agree. The goal is not to find the true number. It is to find out whether the two numbers are even measuring the same thing, and if they are, whether the remaining gap is small enough to act on.
The teaching scenario (fictional, and deliberately so)
To keep this concrete without inventing market data, here is a made-up situation. It is a teaching example, not a real client, market, or measurement.
A B2B SaaS team is deciding whether to build a UK English page for a feature term. Their US page already exists. Two analysts run the same keyword:
- Analyst A ran it in Google Ads Keyword Planner with location set to the United Kingdom, language English, and the network left on its default. She reports a mid-range band.
- Analyst B ran the same string in a third-party tool, with the country filter set to "all locations" because she was comparing several markets at once. She reports a much lower figure and calls the term weak.
The settings are not aligned, so this example cannot yet establish a tool disagreement. Matching them is the next step; it may not explain every difference between the estimates. That distinction is the whole point of the review.
First, check whether the two numbers are comparable at all
Before you discuss which number is more trustworthy, confirm the two runs describe the same thing. Start by checking these settings and the historical month range.
| Setting | What it changes | What to write down |
|---|---|---|
| Country / location | Which market's searches are counted | The exact location filter used in each run |
| Language | Whether local-language and English queries are pooled | The language setting, not just the country |
| Network | Whether the figure covers Google Search alone or includes search partners | The network setting for each run, plus the historical month range and date retrieved |
| Close variants | Whether near-plurals and rewordings are grouped into one line | Whether the tool groups variants, and which ones |
Keyword Planner's own column definition says the figure is the average number of searches for a keyword and its close variants for the month range, location and network you selected. That definition identifies two possible reasons for a difference: two phrasings you consider distinct may simply have been grouped into one line, and a tool that separates them will show two smaller numbers instead of one larger one.
So the first question in the review is not "which number is right." It is "were these two runs configured the same way?" If the answer is no, schedule a matched re-run before judging the estimates. Record unsupported settings as limitations rather than claiming the tools measure identical things.
Second, separate the four things people call "search volume"
Even with matched settings, two sources can legitimately differ because they are answering different questions. Volume, trend direction, ad-auction competition and organic ranking difficulty are four different measurements, not four columns of one number.
- How many searches per month? Estimated demand, usually expressed as a range. Keyword Planner and third-party keyword tools both address this.
- Is interest rising or falling? Relative interest over time on a 0–100 scale. Google Trends answers this and does not return a count.
- How competitive is the paid auction? Ad competition and bid ranges, from Keyword Planner or the Google Ads API.
- How hard is it to rank organically? A vendor's model of how strong the current top results are. Difficulty scores are not comparable between vendors.
A high cost-per-click tells you advertisers value the term. It does not tell you that you can rank for it. A difficulty score is a vendor's model, not a Google metric. If one analyst is quoting a volume band and the other is quoting a difficulty score, you are not comparing two estimates of the same quantity.
Third, write the decision record
This is the part most teams skip, and it is the part that stops the same argument recurring next quarter. Keep it short. One row per keyword, one page per market decision. Copy these fields into whatever your team already uses.
| Field | What goes in it |
|---|---|
| Keyword (exact string) | The literal query, spelled out, including any regional spelling variant |
| Target market | Country and language, stated separately |
| Source 1 + settings | Tool name, location, language, network, historical month range, date pulled, and any unavailable settings |
| Source 2 + settings | Same fields, so the two rows can be compared line by line |
| Reading from each source | The band or figure each returned, quoted as returned |
| Known setting mismatch | Any field where the two runs differ — this is the first thing to fix |
| First-party evidence | Whether your own Search Console shows any impressions for this query in this market |
| Evidence gap | What is still unknown after the above |
| Owner of the missing evidence | Named person, not a team |
| Decision | Go, test, or hold — one of the three, written down |
| Review date | When this row gets revisited |
Two fields do most of the work. "Known setting mismatch" turns a vague argument into a checklist item. "Evidence gap" plus a named owner turns a stalled decision into a task with a deadline.
Fourth, know when to stop comparing
Comparison has diminishing returns, and a review that never ends is worse than a wrong call you can correct. Stop comparing and move to a decision when any of these is true:
- The mismatch is explained. You found the setting difference, re-ran both sources with matched settings, and they now land in overlapping bands. Overlapping ranges mean you cannot rank two terms by volume with confidence — and you do not need to.
- The disagreement does not change the decision. If even the lower estimate covers a query your buyers plausibly type, the size of the gap is irrelevant to whether the page is worth building.
- You have first-party evidence. Search Console impressions show that your property appeared for the query in that market. They are not total market demand, but may be enough to justify a small test when that is the decision at hand.
- The gap is an order of magnitude and unexplained. At that point the honest label is "unknown." Stop, and either gather different evidence or move on. Continuing to compare two unexplained numbers will not resolve them.
Note what is not on this list: "the tools are expensive" or "we have run out of time." Those are reasons to decide, not reasons to stop thinking.
Fifth, assign the missing evidence
Most stalled reviews are stalled because nobody owns the next piece of information. Assign it explicitly. The common gaps and who usually fills them:
- Matched re-run of both sources. Whoever ran the original queries. Match the location, language, network and historical month range where each tool supports them, and record the retrieval date.
- First-party query check. Whoever has Search Console access for the property. Filter by country and look for the query, or for close phrasings, in the existing query set.
- Trend direction and seasonality. Whoever is building the content calendar, since the answer affects scheduling rather than whether to write.
- Live results read. Whoever will own the page. Look at what currently ranks and whether those pages are the type you would write.
One caution on the first-party check: for a query you have never appeared for, absence from Search Console is not evidence of zero demand. It only means you are not visible for it yet. Do not let a blank result be read as a "no."
What each decision actually means
The review ends with one of three words. Be precise about what each commits you to.
- Go. Build the localized page. Use this when the sources agree in direction, the intent is commercial, and the live results are beatable or off-intent. "Go" commits a writer and a URL, so it needs the strongest evidence of the three.
- Test. Start a small, bounded localization — one page, one market, a defined measurement window — rather than a full rollout. Use this when the demand looks plausible but the evidence is thin, or when the two sources still disagree after a matched re-run. A test is a way of buying the evidence you could not get from tools.
- Hold. Do not build a dedicated page yet. Use this when the sources disagree by an order of magnitude with no explanation, when the live results are already perfectly answered by strong pages, or when the market is too small to justify a separate URL. "Hold" is not "never"; it is "not with this evidence."
A market can justify a page even at a lower volume if the intent is commercial and the competition is weak. A high-volume market may not be worth it if the results are owned by pages that already answer the query completely. Decide per market, and write down which of the three words you chose and why.
When to start the small localization
You can start a bounded test once three conditions hold: the two sources have been re-run with matched settings, the remaining gap is either explained or small enough not to change the decision, and the live results show a page type you could realistically compete with. If any of those is missing, you are not testing — you are guessing with extra steps.
If you would rather have the whole chain — research, content, technical work and links — handled together, Guangsuan's Google SEO service combines technical work, content and links. Agree on the scope for the chosen market and track outcomes separately from delivery. Guangsuan also publishes a companion guide on how to cross-check keyword search volume when tools disagree, which walks through the source-by-source procedure in more detail.
Sources
- Google Ads Help — Use Keyword Planner
- Google Ads API — Generate historical metrics
- Google Trends
- Google Search Console
- Google Search Central — Creating helpful, reliable, people-first content
Volume figures from every tool are estimates. The scenario above is a fictional teaching example, not a measurement of any real market. Verify current tool behaviour and pricing on each vendor's own site.