AI Content Optimization

Turn visibility gaps into published, measurable content

Close the loop from opportunity to outcome: turn AI visibility gaps into source-grounded articles, use Deep Research mode when a topic needs exceptional depth, publish through connected channels, and track every article's citations and AI visibility — including content created outside GeoVector.

Broad, source-grounded investigation before writing
Deep research
Track articles created inside or outside GeoVector
Owned + external
Citation trends, prompts, assistants and milestones
Per article

실제로 살펴보기

GeoVector Content Hub Opportunities for Geo Platform SG showing prompt coverage gaps, partial coverage, priorities, and Generate or Optimize actions
Move from measured prompt gaps to a new article or an optimization workflow.
GeoVector Content Generation Wizard with Deep research selected under Research depth and advanced settings for voice, angle, guidelines, and FAQ structure
Use Deep Research mode for a broader source investigation before GeoVector writes the article in the background.
GeoVector Content Library for Geo Platform SG showing drafts, published URLs, cited URLs, external and opportunity origins, citation counts, and review performance actions
Manage generated, published, external, and video content in one library with article-level citation status.
GeoVector article Performance view showing citation growth, lifetime and recent citations, days to first citation, cited prompts, and observations by AI assistant
Measure each article by citation growth, prompts, assistants, milestones, and time to first citation — then create an optimized revision.

주요 이점

Smart Topic Recommendations

Topics are prioritised by analysing AI responses, competitor visibility signals, and gaps in your current coverage — so you always work on the content with the highest impact potential.

Deep Research Article Writing

Choose standard research for everyday production or Deep Research for a much broader source investigation before writing substantial, evidence-rich articles.

Article-Level Performance

Track published and external articles individually, including lifetime and recent citations, days to first citation, winning prompts, assistant mix, trends, and revision signals.

A closed-loop GEO content system

GeoVector starts with observed visibility gaps and recommends topics based on AI responses, competitor coverage, and your existing content. Standard research supports routine production; Deep Research runs a broader, background web investigation before building the brief and draft for topics that need greater depth. Approved work can move into Webflow, LinkedIn, or GeoVector CMS publishing workflows. The Library also accepts external articles, so content created elsewhere enters the same measurement loop. Each article receives its own performance view with citation totals and trends, cited prompts, assistant distribution, time-to-first-citation, milestones, and evidence for deciding when to create an optimized revision.

주요 사용자

Content Strategist

Browse AI-prioritised opportunities, then use Deep Research mode for topics that require a wider investigation and a more comprehensive, source-grounded article.

SEO Manager

Track articles published through GeoVector alongside external articles, comparing citations, prompt coverage, assistant mix, growth trends, and time to first citation per URL.

Marketing Director

Review the full content portfolio from draft through publication and performance, then commission optimized revisions where citation momentum is declining or stalled.