TEARDOWN 134 · REVIEWED 2026-08-21
Topically
Topically pulls search modifiers and Google Images labels for a seed term and arranges them into a hierarchical map of related topics and entities, to guide content themes and keyword targeting. It's a small tool built by Neuraltext, priced from a free tier up to $49/month.
Topically's own product description says it 'extracts data from Google Images labels and search modifiers' to build its topic maps — a live-search-fetch-and-cluster pattern with no proprietary index, trained model, or crawler disclosed anywhere on its site.
What you lose building it yourself
- ✕Saved search history beyond a single session (paid tiers add 30-day to 1-year history)
- ✕A polished hierarchical visualization UI across 195+ countries and 60+ languages
Why people still pay
The DIY version reproduces the core topic-extraction loop, but Topically's paid tiers buy saved search history (up to a year), higher per-month search volume, and Deep Search across 195+ countries and 60+ languages — breadth and history a one-off script doesn't track over time.
WEEKEND BUILD
This is a realistic weekend build: query a SERP API for a seed term's related searches and image results, extract the modifier/label text, and arrange it into a simple tree structure. None of it needs proprietary data — it's the same live-search-fetch pattern Topically's own product description points to.
StackSerpApi or DataForSEO for Google Search and Google Images results · a small script to parse related-search modifiers and image labels into a tree · a hosted AI model (optional) to group related modifiers into named clusters · a CSV or spreadsheet to store and export results.
Build a Python script that takes a seed keyword, fetches Google Search 'related searches' and Google Images labels for it via a SERP API, and organizes the resulting terms into a two-level hierarchical structure (parent topic → modifier terms). Optionally send the flat list of modifiers to a hosted AI model asking it to group them into 3-5 named clusters. Export the result to a CSV with columns for parent topic, modifier, and cluster name. Cap the run at one seed term and its first-level related searches only.
Similar tools
Free alternative: Google Trends — free and official — surfaces related topics and rising queries for a seed term, but doesn't extract the hierarchical search-modifier and Google Images label maps Topically builds, and keeps no persistent per-project search history.
Vendor's own claim
"extracts data from Google Images labels and search modifiers"
https://www.topically.io/ · RETRIEVED 2026-08-21
QUESTIONS
Is Topically still active?
Yes — its pricing and product pages are live and current as of this review, with four tiers from a free plan (30 searches, 24-hour history) up to $49/month (1,000 searches, 1-year history).
Does Topically use its own search index?
No — its own product description says it extracts data from live Google Search modifiers and Google Images labels for a seed term, not a proprietary index or crawl.
Who makes Topically?
Alessio Nittoli, as a project under Neuraltext, an AI content and SEO platform — a small tool, not a large SEO vendor.