$ flowproject.agency / blog · [notes · engineering + AI + marketing]
Bp/00:00:00 HUEN
$ cat google-trends-content-plan.md

Google Trends in practice: from data to a content plan

Google Trends doesn't show search volume. It shows how interest in a topic changes over time and across places, on a relative 0–100 scale. That's exactly what content planning needs: it tells you when a topic starts to rise, which wording people actually use, and where interest is strongest. Cross-check it with your Search Console data and you get a dated, month-by-month content plan.

Every autumn, before we write next year's content calendar for any client, we sit down with Trends. Not because it tells you what to write about, but because it tells you when. Most weak content calendars don't fail on topics. They fail on timing: the article goes live when demand is already peaking, or just after.

  • Trends shows relative interest (0–100), not counts. For volume, you need Search Console and Keyword Planner.
  • Read seasonality in a five-year view: what matters is what repeats every year, not a one-off spike.
  • When comparing, pick a topic, not just a search term, and always keep a fixed reference point.
  • The regional map shows share, not size: a small county can be the darkest on the map.
  • Related queries give you headlines and FAQ questions, and the Rising list is where the early signals are.
  • The key to the plan is lead time: the article should be live weeks before demand starts to climb.

What does Google Trends actually show, and what doesn't it?

According to Google's official FAQ, Trends works from a sample of real searches that is anonymised, categorised and aggregated. Each data point is divided by the total searches for the geography and time range it represents, and the result is scaled from 0 to 100. So 100 doesn't mean lots of searches. It means the peak of the view you selected. Change the time range or the region and the numbers change too.

The same FAQ is explicit that a spike doesn't mean a topic is winning, only that, for whatever reason, a lot of people are searching for it. Our translation: Trends gives you direction and timing, not decisions. When you see a spike, find out what caused it (news, a TV show, a scandal) before you build content around it.

Two recent changes are worth knowing about. In January 2026 Google redesigned the Explore page: you can compare more terms at once, and a Gemini side panel suggests related terms and adds them to the chart. It's a useful idea generator, but its suggestions need the same scrutiny as anything else. The other is the Trends API, announced as an alpha in July 2025, with a five-year rolling window and consistently scaled data. Access is still by application, so for most clients we keep working by hand, with exports.

How do you read seasonality?

Set the time range to the past five years, pick your country, and look at your main topics one by one. We look for three things:

  • Recurring peaks: if the curve rises in the same month every year, that's a real season. If it happened once, it was an event.
  • Where the rise starts: the peak isn't the point. The week the curve starts climbing is, because that's when people start researching.
  • How long it tails off: some topics collapse within a week, others stay high for months. The latter deserve more content.

Last year on its own can mislead you: a long weekend, freak weather or a news cycle can shift the peak. Over five years, those wobbles even out.

Working out your lead time

A new article needs time for Google to crawl it, index it and settle on a ranking. So we count backwards: from the start of the rise, we subtract the number of weeks that, in our experience with that particular site, indexing and settling take, and that's the publish date. For a strong existing article, a refresh a few weeks before the season is enough. To find your own number, check Search Console: how many weeks did a previous article take to start earning impressions? If your site is slow to get indexed, fix that first. We covered it in our post on why we start with a technical SEO audit.

What is comparison good for, and where does it mislead?

Comparison helps you decide which wording to use in your headline and copy. The new Explore page lets you compare up to eight groups of terms, with up to fifty terms per group (classic Explore allows five groups). A few rules we stick to:

  1. Topic or search term? Google's help page separates the two: a search term is the exact word or phrase people type, while a topic groups different phrasings and languages together. For sizing a market we look at topics; for choosing a headline, specific terms.
  2. Always use an anchor. Because every view scales to its own peak, a small term isn't comparable across two separate queries. Add a stable, well-known term and measure everything against it.
  3. Don't compare apples with oranges. A brand name and a generic term mean different things on a chart. One measures awareness, the other demand.
  4. Watch the language people use. In Hungarian, English and Hungarian versions often coexist, as do inflected and base forms. Comparison shows you which one your audience actually uses.

What do regions tell you?

Google's help page on regions explains that the map shows how popular a term is relative to all searches in that region, and that an area not being highlighted doesn't mean nobody searches for it there. It's share, not size: a smaller county can be darker than Budapest even though the capital has far more searches overall.

In content planning we use this in two ways. First, for local pages: if interest in a service is unusually high in certain regions, that's where a local landing page or case study pays off, and your Google Business Profile should reflect it. Second, for timing: sometimes the season starts at different times in different regions, which you can also use when scheduling ads. For small, niche B2B topics, though, the regional breakdown is often patchy, so don't read too much into it.

How should you use related queries?

Below the chart there are two lists, related topics and related queries, each with a Top and a Rising view. According to the Google News Initiative training, Rising shows what grew the most over the selected period, and the Breakout label means growth of more than 5,000 percent, usually for terms that are new or barely searched before.

  • The Top list is for your pillars: these are the questions people search for consistently, and they deserve a comprehensive, regularly updated page.
  • The Rising list is for early signals: if a question keeps coming back across several periods, it's worth a shorter piece you can ship quickly.
  • Question-style queries can go straight into your FAQ. AI search engines like to cite short paragraphs that answer a question directly; we went into detail in our post on what AI Overviews cite.

A word of warning: the Breakout list is noisy, full of one-off news stories, memes and competitor brands. We only carry forward what fits the service and what we can genuinely answer.

How does this become a content plan?

We turn the Trends data into a simple spreadsheet, which we then finalise together with the client. The process:

  1. Topic list: 10–20 core topics from the services and the best-performing Search Console queries.
  2. Seasonality: a five-year curve for each, with the week the rise begins.
  3. Wording: comparisons decide which term goes in the headline.
  4. Sub-questions: related queries supply the subheadings and the FAQ.
  5. Count back: subtract the lead time from the start of the rise to get the publish or refresh date.
  6. Quarterly check: compare the plan with real Search Console data and adjust where needed.
TopicWhen the rise startsActionFormat
Seasonal core topicFrom the five-year Trends curveRefresh weeks aheadPillar page
New, rising questionRising list, across several periodsNew articleShort guide
Year-round topicNo seasonRefresh every six monthsComprehensive guide

If you're tracking lots of topics, exporting and updating the spreadsheet is easy to automate. You'll find ideas in our post on automation for small teams.

Frequently asked questions

Does Google Trends show the number of searches?

No. Trends uses a relative 0–100 scale, where 100 is the peak for the selected period and region. For volume estimates use Google Ads Keyword Planner; for searches that bring people to your own site, use Search Console.

Why does Trends show 0 for a term I know people search for?

For low-volume terms Trends often has no meaningful data to show. Try it as a topic, with a longer time range or at country level, and check in Search Console whether it actually brings you traffic.

How far ahead should you plan?

We plan a year ahead with a quarterly review. Seasonal peaks tend to be stable, but the Rising list changes fast, so check it more often.

Does the Gemini side panel replace manual analysis?

No. It suggests ideas and adds related terms to the chart, which saves time. But whether a topic fits your business, and when it needs to be live, is still your call.

If you want next year's content to be built on data rather than gut feeling, see how we work as a marketing agency. If you'd first like to know whether your site is technically ready for the season, start with our free SEO and AI visibility audit.

FlowProject Kft.
Independent digital studio · Budapest

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