More pages doesn't mean more revenue
For retailers with tens of thousands of products, your product catalog could generate thousands of possible category pages. But building all of them wastes resources on pages that won't convert. The question isn't “what pages could we build?”; it's “which pages will drive the most revenue?”
No demand, no customers
Many product combinations look plausible but nobody searches for them. Building pages without validating real customer demand means investing in content that will never generate a sale.
Overlapping pages split your traffic
If a new page targets the same searches as an existing one, they compete for the same customers. Instead of one strong page, you get two weak ones that both underperform.
Poor product fit loses sales
A category page with only a few loosely-related products disappoints customers who clicked expecting a real selection. They leave without buying and don't come back.
How we identify pages worth building
Each potential page currently runs through five checks: search demand, product sufficiency, existing traffic, page competition, and product match. Each one answers a clear business question. Pages that pass all five are worth creating. Pages that fail show you exactly why (see all rejection reasons), so you can focus your resources on the opportunities that matter.
Are customers searching for this?
We validate each topic against real search data: your Google Search Console for existing ranking data, plus sources such as SEMrush for search demand volume and SERP data for relevance checks. No gut feelings. If customers aren't looking for it, we don't recommend building it.
Do you have enough products to satisfy them?
A page for "red leather sofas" is disappointing if you only stock one. We check that every recommended page has enough genuinely matching products to create a useful shopping experience.
Are you already winning this traffic?
If you already have a page performing well for this search, creating another one splits your success. We only recommend pages that fill a genuine gap in your coverage.
Would this compete with an existing page?
Two pages targeting the same customer need will undercut each other. We catch overlaps even when the wording is completely different, because customers and search engines treat them the same.
Will the products actually match?
False matches happen: a brand name mentioned but not sold, a material in the title but not the product. Pages with irrelevant listings disappoint customers. We catch those before you build.
Replace manual keyword research with automated filtering
Teams that conduct keyword research by hand often spend days or even weeks in spreadsheets before building a single page. The Topic Sieve automates the entire process: filtering candidate topics, classifying them by intent, and building a prioritized topic index you can review and act on.
Keyword filtering at every stage
Rather than reviewing every keyword one by one, the Topic Sieve runs each candidate through five automated checks. Topics that fail demand thresholds, product count requirements, intent overlap detection, existing coverage checks, or product relevance validation are filtered out before you see the results.
Topic classification by intent
Within the topic index, each candidate topic is typically classified by the shopping intent it represents. This grouping catches when two differently-worded topics would serve the same customer need, so you avoid building pages that compete with each other.
A complete topic index
The output is a topic index that includes both approved topics with their demand data and product counts, and rejected topics with specific rejection reasons. You can override any rejection, and the best opportunities are surfaced first with the reasoning behind each one clearly visible.
From thousands of possibilities to the ones that matter
For example, a lighting retailer with 8,000 products could generate 12,000 possible topics, though many would be duplicates, excessively long-tail, or irrelevant. Here's how we might narrow that to the pages that will actually drive revenue.
In this illustrative example, from 12,000 possibilities, we might recommend around 1,000. Each one has customers looking for it, enough products to satisfy them, and no existing page to compete with. Those are the pages worth your investment.
Your rules, your decisions
The sieve makes recommendations. You make the final call. Every decision is transparent, configurable and reversible.
Override any decision
See a rejected topic you want to build anyway? Move it to approved with one click. Launching a new product line that changes the calculus? You decide what makes sense for your business.
The sieve shows you the data behind each decision, with a clear rejection reason for every topic it filters out. You add the business context it can't know.
Configure your thresholds
Set your own rules for what counts as “enough demand” or “enough products.” A luxury retailer values every qualified visitor differently than a mass-market store.
Thresholds are set globally across your site, so every topic is evaluated consistently. The sieve adapts to how you want to grow.
Start with full oversight. Review every recommendation until you trust the output. Then move to automatic once you're confident in the results.
Manual keyword research vs automated sieve
Most teams conduct keyword research by hand, filtering keywords in spreadsheets for weeks. The Topic Sieve replaces that entire process with automated, data-backed decisions.
Without automated topic filtering
- ×Conduct keyword research by hand in spreadsheets (can take days or even weeks, especially for large catalogs)
- ×Often no systematic topic filtering process, so decisions can be based on gut feeling rather than data
- ×No topic classification, so duplicates slip through undetected
- ×Risk of creating pages for topics with too few products, which can lead to poor UX
- ×Already-ranking pages can get cannibalized by new pages targeting the same intent
With Similar AI's Topic Sieve
- Automated topic filtering replaces weeks of manual research
- Every topic validated against real search demand data, with Google Search Console integrated as a core data source for existing ranking keywords
- The Topic Sieve’s cannibalization detection catches overlaps even when wording differs
- Minimum product thresholds ensure every page has enough relevant listings
- A complete topic index shows approved and rejected topics with full reasoning
Why you can trust this
No black box. Every decision comes with clear reasoning you can inspect, question and override. You see exactly why each topic passed or failed, with the data to back it up. See the full list of rejection reasons.
Not enough customers looking
Fewer searches than your threshold. You decide what counts as "enough"; a luxury retailer values every visitor differently than a mass-market store.
Not enough products to show
Customers expect a real selection. A page with one or two items isn't a category; it's a disappointment waiting to happen.
Would compete with existing page
Another page already serves this need. We catch when two pages would fight for the same customers, even when the wording looks different.
You're already winning here
An existing page already performs well for these searches. Building a new one would split your success instead of adding to it.
Products don't truly fit
The products look like matches but aren't. A brand name mentioned in passing, a material in the title but not the product. We catch false matches before you build.
Your business rules
Add your own criteria. Block brand combinations, exclude seasonal topics outside their window, or adjust global thresholds to match your strategy. Your business logic, applied by the sieve.
Part of a complete revenue growth system
The Topic Sieve works alongside product feed enrichment and page creation. We identify the opportunities from your products, filter them to the ones worth building, then the New Pages Agent creates the pages. Every topic that doesn't pass is tagged with a specific rejection reason so you can review and override.
Once pages are live, performance tracking can show you which pages drive revenue, provided page-level revenue data is connected from your analytics or e-commerce platform. Underperforming pages get flagged for review. Successful approaches get applied more broadly.
Every page exists because the data supports it. Every decision is traceable. Every result is measurable.
Frequently asked questions
How do you identify which pages to build?
Similar AI's Topic Sieve replaces manual keyword research by filtering candidate topics through five checks, search demand, product sufficiency, existing traffic, page competition, and product match, to identify topics worth building pages for. The agent filters out topics that don't meet these thresholds so your team focuses only on topics with real ranking potential.
What are some easy tips for conducting keyword research?
Typically, starting with topics your site already has authority in can be a strong foundation, then the Topic Sieve analyzes competitor gaps and search demand to identify topic opportunities you may be missing. Filter by clear intent to find quick wins your New Pages Agent can act on immediately.
How does the Topic Sieve help with international expansion?
The Topic Sieve filters potential category pages from your product catalog through five checks, search demand, product sufficiency, existing traffic, page competition, and product match, to identify genuine opportunities with real demand, helping you decide which pages are worth building and which should be discarded in each region.
See which pages you should be building
Book a demo and we'll run your product catalog through the Topic Sieve. You'll see exactly which pages are worth building, why each one passes or fails, and the revenue opportunity you're missing.