Assess IP Landscape
SkillAI & modelsMap the intellectual property landscape for a technology domain or product area. Covers patent cluster analysis, white space identification, competitor IP portfolio assessment, freedom-to-operate preliminary screening, and strategic IP positioning recommendations. Use before starting R&D in a new technology area, when evaluating market entry against incumbents with strong patent portfolios, preparing for investment due diligence, informing a patent filing strategy, or assessing freedom-to-operate risk for a new product.
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Then ask your AI: use the Assess IP Landscape skill
What this skill tells your AI
The instructions your AI receives, as published by pjt222/agent-almanac in skills/assess-ip-landscape/SKILL.md and read by ahel’s review.
Map the intellectual property landscape for a technology area — identify patent clusters, white spaces, key players, and freedom-to-operate risks. Produces a strategic assessment that informs R&D direction, licensing decisions, and IP filing strategy.
When to Use
- Before starting R&D in a new technology area (what's already claimed?)
- Evaluating a market entry where incumbents have strong patent portfolios
- Preparing for investment due diligence (IP asset assessment)
- Informing a patent filing strategy (where to file, what to claim)
- Assessing freedom-to-operate risk for a new product or feature
- Monitoring competitor IP activity for strategic positioning
Inputs
- Required: Technology domain or product area to assess
- Required: Geographic scope (US, EU, global)
- Optional: Specific competitors to focus on
- Optional: Own patent portfolio (for gap analysis and FTO)
- Optional: Time horizon (last 5 years, last 10 years, all time)
- Optional: Classification codes (IPC, CPC) if known
Procedure
Step 1: Define the Search Scope
Establish the boundaries of the landscape analysis.
- Define the technology domain precisely:
- Core technology area (e.g., "transformer-based language models" not "AI")
- Adjacent areas to include (e.g., "attention mechanisms, tokenization, inference optimization")
- Areas to explicitly exclude (e.g., "computer vision transformers" if focusing on NLP)
- Identify relevant classification codes:
- IPC (International Patent Classification) — broad, used worldwide
- CPC (Cooperative Patent Classification) — more specific, US/EU standard
- Search WIPO's IPC publication or USPTO's CPC browser
- Define the geographic scope:
- US (USPTO), EU (EPO), WIPO (PCT), specific national offices
- Most analyses start with US + EU + PCT for broad coverage
- Set the time window:
- Recent activity: last 3-5 years (current competitive landscape)
- Full history: 10-20 years (mature technology areas)
- Watch for expired patents that open up design space
- Document the scope as the Landscape Charter
Expected: A clear, bounded scope that is specific enough to produce actionable results but broad enough to capture the relevant competitive landscape. Classification codes identified for systematic search.
On failure: If the technology domain is too broad (thousands of results), narrow by adding technical specificity or focusing on a specific application area. If too narrow (few results), broaden to adjacent technologies. The right scope typically yields 100-1000 patent families.
Step 2: Harvest Patent Data
Collect the patent data within the defined scope.
- Query patent databases using the Landscape Charter:
- Free databases: Google Patents, USPTO PatFT/AppFT, Espacenet, WIPO Patentscope
- Commercial databases: Orbit, PatSnap, Derwent, Lens.org (freemium)
- Combine keyword search + classification codes for best coverage
- Build search queries systematically:
Query Construction:
+-------------------+------------------------------------------+
| Component | Example |
+-------------------+------------------------------------------+
| Core keywords | "language model" OR "LLM" OR "GPT" |
| Technical terms | "attention mechanism" OR "transformer" |
| Classification | CPC: G06F40/*, G06N3/08 |
| Date range | filed:2019-2024 |
| Assignee filter | (optional) specific companies |
+-------------------+------------------------------------------+
- Download results in structured format (CSV, JSON) including:
- Patent/application number, title, abstract, filing date
- Assignee/applicant, inventor(s)
- Classification codes, citation data
- Legal status (granted, pending, expired, abandoned)
- Deduplicate by patent family (group national filings of the same invention)
- Record the total patent family count and source databases
Expected: A structured dataset of patent families within scope, deduplicated and timestamped. The dataset is the foundation for all subsequent analysis.
On failure: If database access is limited, Google Patents + Lens.org (free) provide good coverage. If the query returns too many results (>5000), add technical specificity. If too few (<50), broaden keywords or add classification codes.
Step 3: Analyze the Landscape
Map the patent clusters, key players, and trends.
- Cluster analysis: Group patents by sub-technology:
- Use classification codes or keyword clustering to identify 5-10 sub-areas
- Count patent families per cluster
- Identify which clusters are growing (recent filing surges) vs. mature (flat or declining)
- Key player analysis: Identify the top 10 assignees by:
- Total patent family count (portfolio breadth)
- Recent filing rate (last 3 years — current activity)
- Average citation count (patent quality proxy)
- Geographic filing breadth (US-only vs. global filings)
- Trend analysis: Chart filing trends over the time window:
- Overall filing volume by year
- Filing volume by cluster by year
- New entrants (assignees filing for the first time in the domain)
- Citation network: Identify the most-cited patents (foundational IP):
- High forward citations = heavily relied upon by subsequent filings
- These are likely blocking patents or essential prior art
- Produce the Landscape Map: clusters, players, trends, and key patents
Expected: A clear picture of who owns what, where the activity is concentrated, and how the landscape is evolving. Key blocking patents identified. White spaces (areas with few filings) visible.
On failure: If the dataset is too small for meaningful clustering, combine clusters into broader groups. If one assignee dominates (>50% of filings), analyze their portfolio as a separate sub-landscape.
Step 4: Identify White Spaces and Risks
Extract strategic insights from the landscape.
- White space analysis (opportunities):
- Technology areas within scope with few or no patent filings
- Expired patent families where the design space has reopened
- Active areas where only one player has filed (first-mover but no competition)
- White spaces adjacent to growing clusters (next frontier)
- FTO risk screening (threats) — adapted from
healtriage matrix:- Critical: Granted patents directly covering your planned product/feature
- High: Pending applications likely to grant with relevant claims
- Medium: Granted patents in adjacent areas that could be broadly interpreted
- Low: Expired patents, narrow claims, or geographically irrelevant filings
- Competitive positioning:
- Where does your portfolio (if any) sit relative to competitors?
- Which competitors have blocking positions in your target areas?
- Which competitors might be interested in cross-licensing?
- Produce the Strategic Assessment: white spaces, FTO risks, positioning, and recommendations
Expected: Actionable strategic recommendations: where to file, what to avoid, who to watch, and what risks need detailed FTO analysis.
On failure: If FTO risks are identified, this screening is preliminary — it does NOT replace a formal FTO opinion from a patent attorney. Flag critical risks for legal review. If white spaces seem too good (a valuable area with no filings), verify the search scope didn't accidentally exclude relevant filings.
Step 5: Document and Recommend
Package the landscape assessment for decision-makers.
- Write the Landscape Report with sections:
- Executive summary (1 page: key findings, top risks, main recommendations)
- Scope and methodology (search terms, databases, date range)
- Landscape overview (clusters, trends, key players with visualizations)
- White space analysis (opportunities ranked by strategic value)
- Risk assessment (FTO concerns ranked by severity)
- Recommendations (filing strategy, licensing targets, monitoring alerts)
- Include supporting data:
- Patent family list (structured, sortable)
- Cluster map (visual)
- Filing trend charts
- Key patent summaries (top 10-20 most relevant patents)
- Set up ongoing monitoring:
- Define alert queries for new filings in critical areas
- Set review cadence (quarterly for active areas, annually for stable ones)
Expected: A complete landscape report that enables strategic IP decisions. The report is evidence-based, clearly scoped, and actionable.
On failure: If the report is too large, produce the executive summary first and offer detailed sections on request. The executive summary should always stand alone as a decision document.
Validation Checklist
- Landscape Charter defines scope, classification, geography, and time window
- Patent dataset harvested from multiple databases and deduplicated
- Clusters identified with filing counts and trend direction
- Top 10 key players profiled with portfolio metrics
- White spaces identified and ranked by strategic value
- FTO risks screened and classified by severity
- Key blocking patents identified with citation analysis
- Recommendations are specific and actionable
- Limitations acknowledged (screening vs. formal FTO opinion)
- Monitoring alerts defined for ongoing landscape tracking
Common Pitfalls
- Too broad a scope: "AI patents" is not a landscape — it's an ocean. Be specific about the technology and application
- Single-database reliance: No single patent database has complete coverage. Use at least two sources
- Ignoring patent families: Counting individual filings instead of families inflates the numbers. One invention filed in 10 countries is one patent family, not ten
- Confusing applications with grants: A pending application is not an enforceable right. Distinguish between granted patents and published applications
- White space misinterpretation: An empty area might mean "nobody tried" or "everybody tried and failed." Investigate before assuming opportunity
- Landscape as legal opinion: This skill produces strategic intelligence, not legal advice. FTO risks flagged here need formal analysis by patent counsel
Related Skills
search-prior-art— Detailed prior art search for specific inventions or patent validity challengesscreen-trademark— Trademark conflict screening and distinctiveness analysis for the trademark side of IP landscapesfile-trademark— Trademark filing procedures for EUIPO, USPTO, and Madrid Protocolsecurity-audit-codebase— Risk assessment methodology parallels IP risk screeningreview-research— Literature review skills apply to prior art analysis
Signals
- GitHub stars
- 32
- Forks
- 4
- Last commit
- Sep 2026
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- github.com/pjt222/agent-almanac