Topic Map

Summary#

Topic Map turns one topic into a content plan: sub-topic clusters ranked by opportunity, the real questions searchers ask, related terms, a multi-year search-interest trend and the publishers already ranking. Its internal tool id is topic_research.

Purpose#

A single post rarely wins a topic. Search engines reward sites that cover a subject properly, and covering it properly means knowing what the subject is made of before you write anything.

This tool exists to produce that map. The decision it supports is structure: how many pages a topic needs, what each one covers, and which cluster to build first.

Overview#

You enter a topic. Metric Vault pulls a wide set of keywords around it — up to several hundred — along with the topic's own search volume, its roughly eight-year monthly history, additional keyword ideas, and the live Google results for the topic.

It then clusters the real keyword set by the words that recur across it, scores each cluster on volume against difficulty, extracts the question keywords, and reads the publishers holding the top positions.

The output is a plan rather than a list. Where Keyword Explorer gives you keywords to choose between, Topic Map gives you the shape of the hub those keywords belong to.

Benefits#

• One run produces a page structure, not a spreadsheet.
• Clusters are ranked by opportunity, so the build order is decided for you.
• Question keywords arrive ready to use as headings.
• The interest trend goes back years, so you can see whether a topic is growing, seasonal or fading.
• Costs 1 credit, which keeps it below the monthly premium-report threshold.

Use Cases#

Planning a content hub. You have been told to "own" a subject. The clusters tell you how many pages that means.

Deciding whether a topic is worth entering. The trend line and the publisher list together answer this faster than any amount of discussion.

Finding an angle in a crowded space. A cluster with real volume and low difficulty is the door into a topic the big publishers have left open.

Filling an editorial calendar. Each cluster is a month; each question inside it is a section.

Briefing a writer. Hand over the cluster, its questions and its related terms and the brief is half written.

Requirements#

• A signed-in account.
• A paid plan — 1 credit per run, and any cost above zero is blocked on Free.
• Available credits and hourly headroom.
• No integration and no verified domain.

Permissions#

Any workspace member on a paid plan can run it. Free accounts are refused with This tool needs a paid plan. Free includes the 10 technical SEO tools; upgrade to Pro to unlock the rest. The recommendations panel under the result requires Pro or above.

Cost#

1 credit per run. Below the premium threshold of 3, so it is never blocked by the monthly quota — only by the hourly fair-use cap of 100 light-tool calls per hour. A shared-cache hit still charges the credit; the cached window for this tool is seven days. See How credits work and Result caching and freshness.

Navigation Path#

Dashboard → Keyword & Content Research → Topic Map

Inputs#

Step-by-Step Guide#

1. Open Keyword & Content Research and choose Topic Map.
2. Enter your topic in the field marked e.g. email marketing, or click Try sample.
3. Click Research Topic · 1 report, or press Enter.
4. Wait for Analyzing… this can take a few seconds for live data. to clear.
5. Read the four hero KPIs, then the cluster grid.
6. Pick the highest-opportunity cluster and use Generate Brief on it, or Save Topic to keep the result.

Reading the Results#

The hero. The topic, a verdict pill and four KPI tiles.

The verdict pill combines the last two: a topic with six or more clusters and solid combined volume reads as rich; fewer than three clusters or very low volume reads as sparse.

Content Clusters — sorted by opportunity score. The most important block on the screen. Each card is a sub-topic with its keyword count, its combined monthly volume, its average difficulty and an opportunity score that rewards volume and penalises difficulty. Because the grid is sorted by that score, the top-left card is your first page.

Read a cluster card like this: high volume and low difficulty is a page to build now; high volume and high difficulty is a page to build once you have authority; low volume and low difficulty is supporting content that strengthens the hub; low volume and high difficulty is a cluster to skip.

Search Interest Trend. The topic's monthly demand over the available history, clipped to your selected range. A steady line means an evergreen topic you can invest in. A repeating annual shape means seasonality — note the peak and publish two months ahead of it. A line that steps down and never recovers is a topic in decline; spend the budget elsewhere.

Seasonal Trend. Calls out the Peak month and Trough month explicitly. Use these to set the publish date, not just the topic.

Top Publishers. A table of Publisher and SERP Position — who currently holds the topic. This is your feasibility check. If the top positions are national publishers and marketplaces, you enter through a niche cluster. If they are mid-sized blogs, the head is reachable.

Questions People Ask. Real question keywords from the topic set. Each one is a heading you can use verbatim. A cluster with many questions attached is usually the easiest to write, because the structure comes free.

Related Terms. The vocabulary of the topic — the terms your page should contain to read as authoritative on it. Treat these as entities to cover, not as keywords to repeat.

Broader Topic Discovery. A Keyword table of adjacent terms from the same space that do not contain your topic phrase. This is where the next topic comes from once you have finished this one.

Strategic Insights & Action Plan. Written guidance derived from the numbers above: what the cluster shape implies, and an ordered set of next steps.

Hero actions. Generate Brief carries the topic into brief generation, Save Topic stores the result, and the export controls take it out as PDF, Excel, CSV or JSON, or publish it as a share link.

What to do with it. Take the top three clusters. Give each one a page. Use its questions as the H2s and its related terms as the coverage checklist. Publish the easiest first so the hub has something ranking while the hard page is being built.

Examples#

Screenshots#

Tips#

• Two or three words is the sweet spot. email marketing clusters well; marketing does not, and email marketing deliverability for SaaS has nothing left to cluster.
• Read Top Publishers before the clusters. If the topic is closed, the cluster scores do not matter.
• Set MIN VOLUME if the grid is full of tiny clusters.
• Use Broader Topic Discovery to queue the next topic while this one is being written.

Best Practices#

• One page per cluster, all linked to a hub page for the topic itself.
• Publish the lowest-difficulty cluster first. Early rankings make later ones easier.
• Take each cluster's questions straight into the outline rather than inventing headings.
• Re-run a core topic every quarter — new clusters are emerging demand.
• Follow up with Keyword Overview on the exact term you intend to target before writing.

Common Mistakes#

• Entering a domain instead of a topic. The tool clusters keyword text, so a domain produces meaningless groupings.
• Building the highest-volume cluster first when its difficulty is far above the others.
• Ignoring the trend and investing in a topic that has been declining for two years.
• Treating clusters as one article each with 300 words. A cluster is a page that covers a sub-topic properly.

Limitations#

• Keyword and SERP data come from Google's United States, English-language index. The country picker does not change the underlying market.
• The topic keyword set is sampled — a few hundred keywords, not every keyword in the space.
• The live SERP is read to a depth of 20 results, so Top Publishers reflects the first two pages, not the whole index.
• Clusters are derived from recurring words in the real keyword set, so an unusual or highly branded topic can produce clusters that need human editing.
• Search volume is a monthly average.
• The topic's own search volume comes from Google Ads. Google Ads allows only a few live requests a minute, and when it refuses one the tool uses the DataForSEO Labs figure for the topic instead, or leaves the topic volume out if Labs has none. It never reports 0 for a request that was refused, and a run that needed the fallback is not reused for other users.
• This tool does not check whether you already cover a cluster. Pair it with Content Decay Detector or a gap analysis for that.

Troubleshooting#

FAQs#

How are clusters decided? By the words that recur across the real keyword set for your topic, with the seed's own words and common stop words removed so they do not form a cluster of their own. Each cluster is then scored on its combined volume against its average difficulty.

What is the opportunity score? A single number per cluster that rises with search volume and falls with difficulty, with a small weighting for how many keywords sit in the cluster. It exists to give the grid a build order.

How is this different from Keyword Explorer? Keyword Explorer answers "what keywords exist around this seed". Topic Map answers "what pages should exist around this topic". Magic gives you the list; Topic Map gives you the structure, the trend and the competition.

Why does it only cost 1 credit when Keyword Overview costs 3? Credits track backend cost. Topic Map makes fewer and cheaper provider calls than a full single-keyword deep dive. See How credits work.

Can I export the clusters? Yes — Export CSV, Export Excel, Export PDF and Export JSON are on the result, along with Share public link.

Does the date range change the data or just the chart? It clips the interest trend that is drawn. The clusters, questions and publishers are for the current state of the topic.