Every keyword, competitor topic, and gap inkSTR researches lands in one organized hub, and on Scale, a research chat answers new questions with live SEO data instead of guesses.
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Definition
The Research Hub is the organized library of everything inkSTR's research finds for a project: keywords with real volume, competitor topics, Search Console opportunities, keyword gaps, AI search queries, AI visibility findings, and competitor intelligence. Any finding can be added to the calendar in one click or in bulk, and on Scale a research chat answers new questions using live keyword, SERP, and competitor lookups instead of recalled knowledge.
Key takeaways
Research library in every plan; live chat on Scale. Last reviewed .
How it works
The Research Hub collects everything inkSTR’s research finds, keywords, competitor topics, Search Console opportunities, keyword gaps, AI visibility findings, and competitor intelligence, with one-click and bulk add-to-calendar. The live chat runs real SEO data lookups on demand.
Strategy runs, replenishment, and the background agents all write their findings into the same library, tagged by source.
Off-domain keywords, blocked topics, competitor brands, and off-market cities are filtered out server-side so the picker only shows usable candidates.
Pick findings individually or in bulk. Near-duplicates are collapsed, and each addition lands on the next open calendar day.
The research chat runs live lookups on request and can push a new topic straight to the calendar.
What you get
Grounded in the real pipeline, not a marketing checklist.
Keywords, competitor topics, Search Console opportunities, keyword gaps, AI visibility, competitor intel, and AI search queries, each a browsable, filterable library instead of a one-time report.
Any finding, or a whole batch, can be added straight to your content calendar, where it gets scheduled and deduplicated against what’s already planned.
The research chat answers with real lookups, live search volume, keyword difficulty, full SERP analysis including AI Overviews, backlink profiles, and domain intelligence, not model guesses about what might rank.
Point it at a competitor domain to mine the keywords they rank for and their top-performing pages, then turn the gaps into scheduled articles.
Side by side
Where the difference shows up in practice. No invented numbers on either side.
| Where it matters | InkSTR | A folder of keyword exports | Why it matters |
|---|---|---|---|
| Freshness | Re-researched on demand; stale findings archived automatically. | Snapshots that age in place. | Search demand shifts by season and by year. |
| Relevance | Every row tagged on-domain, adjacent, or off-domain, with off-domain hidden. | Unfiltered lists. | Most exported keyword lists are mostly noise. |
| Action | One click from finding to scheduled article. | Copy into another tool. | Research that never becomes content has no value. |
| New questions | A chat with live data tools. | Re-run the export. | The question you have today is rarely the one you exported for last month. |
Freshness
InkSTR: Re-researched on demand; stale findings archived automatically.
A folder of keyword exports: Snapshots that age in place.
Why it matters: Search demand shifts by season and by year.
Relevance
InkSTR: Every row tagged on-domain, adjacent, or off-domain, with off-domain hidden.
A folder of keyword exports: Unfiltered lists.
Why it matters: Most exported keyword lists are mostly noise.
Action
InkSTR: One click from finding to scheduled article.
A folder of keyword exports: Copy into another tool.
Why it matters: Research that never becomes content has no value.
New questions
InkSTR: A chat with live data tools.
A folder of keyword exports: Re-run the export.
Why it matters: The question you have today is rarely the one you exported for last month.
Who it is for
The same engine adapts its audience, vocabulary, and calls to action to the business you run.
Browse destination questions, event topics, and competitor guides for each market and schedule the ones that fit.
ExploreOwner-intent keyword gaps and competitor management topics, screened to exclude renter searches.
ExploreProblem-aware and buying-intent keywords, with competitor brand terms excluded except for comparison articles.
ExploreMeasured results
Every figure below is measured in Google Search Console, Google Analytics, or the business's own records, never estimated by a third-party tool.
1,440
Keywords ranking in Google Search Console
Cape del Mar
A two-market brand whose entire topic set was drawn from this research library over three months of publishing.
Read the Cape del Mar case studyReal data. Its answers run live lookups against DataForSEO, the same provider powering the strategy engine, for search volume, difficulty, SERP features, backlinks, and AI visibility.
Question-format keywords built for how people ask AI engines, the kind of queries that trigger AI Overviews and assistant citations rather than classic ten-blue-link results.
The research library and all seven streams come with every plan. The live research chat is a Scale feature with a monthly message allowance.
A keyword one of your competitors ranks for that you do not. Gaps are pulled from real ranking data and screened for relevance, so only gaps in your actual topic area are shown.
Yes. Blocked keywords are matched by meaning, so word-order and plural variants are blocked too, and the block applies to research, the picker, strategy runs, and replenishment.
It should not. Deleting a competitor domain records it on the project so future research excludes it, and blocked keywords persist across runs. If a variant slips through, block the keyword and it will be caught by the meaning-based match.
Go deeper
Guides, playbooks, and tools that explain the ideas behind this feature.
A few more capabilities worth a look.
Point inkSTR at your site and see the content strategy it builds. Your first 3 articles are free.
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