Audit your current AI visibility
We analyze how your brand appears across ChatGPT, Gemini, Perplexity, and Google AI Overviews, then identify citation gaps and retrieval failures.
AI Visibility for Brands
Improve AI Visibility across ChatGPT, Gemini, Perplexity, and AI Overviews.
Prime Sentia uses Generative Engine Optimization (GEO) to audit how your brand appears in AI-generated answers, identify citation gaps, and turn AI search optimization into a structured execution plan your team can act on.
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- Answer Engines
- ChatGPT · Gemini · Perplexity · Google AI Overviews
- 30/60/90
- Roadmap
- Turn findings into a concrete, prioritized implementation plan
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- GEO Signals
- Pre-registered empirical signals across accessibility, extractability, authority, and citability
AI discovery is already influencing who gets considered
How to appear in AI Overviews
Beyond traditional rankings. AI Overviews do not reward the same signals as a ranked list of links. Brands need clear entities, evidence-backed claims, and answer-ready page structure.
How to get cited by ChatGPT
Synthesis and extraction readiness. ChatGPT, Gemini, and Perplexity compress and synthesize information. If your brand is vague, fragmented, or hard to quote, you lose visibility before the click.
AI visibility is a pipeline issue
Commercial impact on shortlists. AI-generated answers now influence research, shortlists, and vendor comparisons. AI Visibility affects whether your brand is considered at all.
From AI visibility audit to execution roadmap
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Translate findings into structural fixes
We turn visibility findings into a structured brand layer, citation-readiness actions, and page-level priorities your team can actually implement.
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Move from diagnosis to roadmap
You receive a prioritized plan for AI search optimization with concrete next steps for content, SEO, brand, and web teams.
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Structured Deliverables
06 core deliverables
01 01
AI Visibility Audit
Answer Engine Diagnostic
A baseline view of how your brand appears across priority AI discovery surfaces and which competitor narratives are winning instead.
- Outputs
- Perception across 4 answer engines
- Competitor citation share
- Entity gap analysis
- Retrieval signals
- Search answer synthesis
- Prompt evaluations
- Knowledge graph status
- Best surfaced for
- AI Visibility Audit
- Answer Engine Diagnostic
- Competitive Share
02 02
Citation-Readiness Assessment
On-Page Diagnostics
A page-level review of structure, entity clarity, evidence quality, and retrieval signals that influence AI citation potential.
- Outputs
- Pre-registered GEO signal score
- Page extractability analysis
- Missing quotation anchors
- Retrieval signals
- Semantic markup
- Table and definition structures
- Entity references
- Best surfaced for
- Citation Readiness
- On-Page GEO
- Information Extractability
03 03
Structured Brand Layer
Entity Architecture
A machine-readable brand foundation that aligns narrative, vocabulary, proof points, and positioning across your key pages.
- Outputs
- Wikidata-aligned entities
- Canonical brand schema
- Product taxonomy
- Retrieval signals
- Schema.org JSON-LD
- SameAs entity cross-links
- Consistency score
- Best surfaced for
- Brand Layer
- Entity Resolution
- Semantic SEO
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Competitive Visibility Map
Market Intelligence
A clear view of where your brand is absent, misrepresented, or outperformed in AI-generated answers for high-value buyer prompts.
- Outputs
- Prompt category matrix
- Win/loss visibility rates
- Competitor citation sources
- Retrieval signals
- Perplexity sources
- Google AI Overview cards
- ChatGPT search links
- Best surfaced for
- Competitive Intelligence
- Prompt Matrix
- Share of Model
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AI Search Optimization Roadmap
Execution Strategy
A phased 30/60/90 plan that prioritizes the highest-impact changes first across content, tech, and distribution.
- Outputs
- Sprint-based task list
- Owner assignments & KPIs
- Dependency roadmap
- Retrieval signals
- Impact vs effort scoring
- Technical blocker flags
- Time-to-citation metrics
- Best surfaced for
- Execution Roadmap
- 30/60/90 Plan
- Implementation Strategy
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Implementation Guidance
Task Resolution
Task-ready recommendations for content, SEO, brand, and web teams so the work can move without interpretation debt.
- Outputs
- Rewritten copy specs
- JSON-LD code snippets
- Publishing guidelines
- Retrieval signals
- Markdown artifacts
- CMS implementation guides
- Verification checklists
- Best surfaced for
- Implementation Guides
- Developer Specs
- Content Blueprints
Why Prime Sentia
Commercial language first
We lead with the outcome buyers care about: AI Visibility. Generative Engine Optimization (GEO) is the method behind it, not the jargon barrier in front of it.
Structured operating model
Prime Sentia runs GEO as a modular delivery engine with auditable outputs, repeatable workflows, and implementation-ready guidance.
Enterprise-grade clarity
Built for multi-product brands, complex categories, and teams that need precise language, strong governance, and measurable execution.
Actionable proof, not vague advice
Every recommendation is tied to a visibility problem, a structural fix, and a clear execution path grounded in pre-registered research.
Questions buyers are already asking
What is AI visibility?
AI Visibility is the degree to which your brand is found, cited, and described accurately in AI-generated answers across ChatGPT, Gemini, Perplexity, and AI Overviews.
How do I appear in AI Overviews?
You improve your chances by publishing clear, evidence-backed pages with strong entity signals, answer-first structure, and content that can be quoted accurately outside its original layout.
How do I get cited by ChatGPT?
You need content that is easy for AI systems to retrieve, interpret, and trust. That means clearer claims, better structure, stronger proof signals, and a consistent brand layer.
What is Generative Engine Optimization?
Generative Engine Optimization (GEO) is the discipline of improving how your brand is retrieved, cited, and represented inside AI-generated answers. AI Visibility is the business outcome GEO is designed to improve.
Next Steps
Start with an AI visibility audit. Use GEO to fix what matters.
Understand how your brand appears today, where citation gaps exist, and what to change first to improve AI visibility across the answer layer.