Keep prompts lean and aligned to search, SEO, and safety
Select output, search, and SEO contexts so the model only sees what matters. Inject Google keyword signals without stuffing, and keep sensitive data out of scope.
What's inside
Lean prompts
Pick only the columns that matter so generations stay focused, fast, and compliant.
Search & SEO aware
Separate output/search/SEO contexts and inject prioritized keywords from Google data without stuffing.
Governed signals
Keep sensitive fields out of context and pair with brand rules so outputs stay on-brand and safe.
Scope outputs, search, and SEO separately
Expose the right columns for generation, retrieval, and SEO so every block works with the signals it needs—nothing extra.
From context selection to channel-ready outputs
Choose output context
Only the columns the model should read
Expose the minimal set of columns for generation so prompts stay lean and outputs stay relevant.
Shape search context
Improve retrieval and matching
Select discriminative fields (e.g., category, brand) to tighten retrieval and avoid noisy matches.
Add SEO signals
Primary/secondary/cluster keywords
Pull Google signals, prioritize them, and inject without stuffing to keep language natural and SERP-aligned.
Run and ship
Background runs with governance
Generate with scopes, review in audit, then send approved outputs to exports and automation.
Show the model only what it needs
Expose the columns required for the output—nothing more. Keep prompts small, reduce leakage, and improve latency and cost.
Lean by design
Pick the fewest columns needed for generation to avoid noise and keep prompts efficient.
Safe by default
Exclude sensitive or irrelevant fields so they never enter the prompt.
Reusable across blocks
Use the same scoped context across blocks so tone and relevance stay consistent.
Related pages
Tighten retrieval and matching
Select discriminative fields so lookups and retrieval stay accurate. Avoid broad, noisy inputs that dilute relevance.
Discriminative fields
Use categorical or high-signal fields (e.g., category, brand, gender) to guide matching.
Noise reduction
Keep the list short to prevent irrelevant fields from entering prompts or retrieval.
Consistent across runs
Store choices with the context window so every run uses the same signals.
Related pages
Inject Google signals without keyword stuffing
Pull primary, secondary, and cluster keywords; prioritize them, and weave them naturally into prompts for SERP-aligned outputs.
Prioritized keywords
Primary first, then secondary and clusters—ordered to guide the model without overloading it.
Natural language
Inject signals without stuffing so copy stays readable and on-brand.
Channel alignment
Use the same SEO signals across workflows so exports stay consistent across channels.
Related pages
Context patterns for common jobs
Choose the mix of output/search/SEO contexts that fits your use case while keeping prompts lean and governed.
SERP-aligned content
Include titles, category, brand, and prioritized keywords; keep prompts concise and approval-aware.
Output + SEO contexts enabled
Primary/secondary/cluster keywords
Audit before exports
Include titles, category, brand, and prioritized keywords; keep prompts concise and approval-aware.
Output + SEO contexts enabled
Primary/secondary/cluster keywords
Audit before exports
Lean prompts
Expose only the columns you need for generation to reduce noise and cost.
Search-aware
Use search context for better matching and retrieval.
SEO signals
Inject prioritized keywords without stuffing for SERP-aligned copy.
Governed scopes
Keep sensitive fields out and pair with approvals for safety.
Consistent across runs
Store context choices so every run uses the same signals.
Channel-ready
Align context with exports so feeds and APIs stay consistent.