Search & competitive intelligence
Autonomous search intelligence.
SearchIntel is a search and competitive intelligence platform in development. Its intended purpose is to bring keyword opportunity research, competitor organic visibility, historical search trends and AI-assisted content briefs into a single workflow, rather than leaving each analysis in a separate tool with its own export.
Visit SearchIntelsearchintel.ai(opens in a new tab)SearchIntel is a search and competitive intelligence platform in development. Its intended purpose is to bring keyword opportunity research, competitor organic visibility, historical search trends and AI-assisted content briefs into a single workflow, rather than leaving each analysis in a separate tool with its own export.
The planned workspace starts with a keyword, domain or page and connects related terms, competitive context and historical trends. Its purpose is to help marketing teams decide what to investigate next and carry that research into content planning, without repeatedly assembling the same picture across disconnected reports.
The problem
Search planning is usually assembled from fragments — a keyword export here, a competitor screenshot there, a trend chart from somewhere else — and by the time the fragments are reconciled it is unclear which figures were observed and which were estimated.
Intended users
Business marketing teams, content strategists and agencies planning organic search and content programmes.
What SearchIntel does.
Keyword opportunity research
Examine a term alongside volume, difficulty and cost-per-click signals, with related terms and question variations surfaced in the same view.
Competitor organic visibility
Look up a competing domain or a specific URL and review the organic keywords it appears for, to see where visibility is concentrated.
Search trend analysis
Review historical organic-keyword and traffic movement over time. These are estimates, and are intended to be labelled as such in the interface.
AI-assisted content briefs
Turn a selected keyword set into a structured brief a writer can work from, rather than a raw keyword list.
Paid-search planning signals
Cost-per-click and competition figures are intended to inform paid-search planning. No autonomous ad buying, campaign spending or bid execution is part of this scope.
Unified keyword and domain workspace
One entry point for a term or a site, with research, competitor and trend views reached from the same place instead of separate tools.
- One workflow instead of several disconnected exports.
- Estimated and observed figures intended to be distinguished rather than blended.
- Data access designed to run server-side, keeping provider credentials out of the browser.
- Demo and sample states planned to be labelled explicitly, alongside clear loading and error states.
- Less time assembling a search picture from separate tools.
- A clearer basis for choosing which terms and pages to work on next.
- Briefs that carry the research behind them into the writing stage.
One research workspace. Clear data boundaries.
SearchIntel's differentiation is intended to come from consolidation and honesty about provenance: several analyses in one workflow, estimates marked as estimates, and third-party data fetched through server-side functions so credentials never reach the client. These are design commitments for the current milestone, not shipped and verified integrations.
- Server-side data fetching so API credentials stay off the browser.
- Planned third-party search data, with clearly labelled demo and sample fallbacks.
- Explicit loading and error states rather than silent empty views.
- Research, competitor and trend views built on one keyword and domain entry point.
In development. The capabilities described are planned product scope, not a statement of general availability or verified live data integrations. SearchIntel does not guarantee rankings, traffic or financial returns, and no platform partnership is implied.
Visit SearchIntelsearchintel.ai(opens in a new tab)