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Build an evidence-based content strategy to improve brand discoverability and citation within AI-generated answers.
$5
Get Cited by AI skill
Example session with this skill installed
I want to improve how my tech blog, 'DevInsights.io', is cited by AI assistants when people ask about 'distributed systems architecture'. Here is a link to my main pillar page.
- Read your context and instructions
- Compiled the get cited by
I have analyzed the provided pillar page on distributed systems architecture for DevInsights.io. The strategy below focuses on improving clarity, attribution, and structured evidence to increase the likelihood of AI citation.
AI Visibility & Citation Strategy
1. Executive Summary
The primary opportunity lies in restructuring your "CAP Theorem" and "Eventual Consistency" sections into direct, definition-heavy blocks. The highest-priority actions are adding schema markup for technical concepts and introducing expert attribution for your lead architects.
4. Content Readiness Audit
| Page / Asset | Issue or Opportunity | Evidence | Recommendation | Priority |
|---|---|---|---|---|
| /distributed-systems-guide | Lack of direct definitions | Text is conversational, lacks pithy summaries | Add "Key Definition" callout boxes for core terms | High |
| /distributed-systems-guide | Weak source attribution | Several claims lack external or internal links | Add citations to academic papers or whitepapers | Medium |
| /distributed-systems-guide | Entity ambiguity | Terms like 'Node' are used inconsistently | Standardize terminology and use DefinedTerm Schema | High |
8. Prioritized Roadmap
| Priority | Action | Rationale | Effort | Dependency | Success Measure |
|---|---|---|---|---|---|
| 1 | Add Technical Article Schema | Helps LLMs parse authorship and entities | Low | Developer access | Validated Schema on GSC |
| 2 | Rewrite H2 headers as questions | Maps directly to common user queries | Medium | Content team | Inclusion in "People Also Ask" / AI summaries |
| 3 | Create "Comparison Table" assets | LLMs favor structured data for comparisons | Medium | Design / Research | Citation in "Best of" or "Vs" AI responses |
Next steps
- Implement the
DefinedTermschema for the top 5 architectural patterns discussed on the page. - Provide a list of your top 3 competitors in this niche so I can map content gaps.
- Share any existing Google Search Console data for specific long-tail questions you currently rank for.
Connects securely to your tools. The creator never sees your data.
About this skill
Traditional SEO is no longer enough when LLMs and answer engines are becoming the primary discovery layer. This skill solves the problem of content being invisible to AI models by auditing your assets for clarity, attribution, and structured evidence. It provides a strategic framework to help your brand appear in AI-generated answers and citations without resorting to manipulative tactics or "hacks."
What it does
- Entity Mapping identifies core business concepts and related topics that AI models use to categorize your brand.
- Content Readiness Audits analyze your pages for factual support, freshness, and directness to ensure they are easy for LLMs to interpret.
- Trust Signal Improvement recommends ways to strengthen authorship and source quality to build credibility with evaluators.
- Question Clustering maps high-intent audience queries to your content to bridge gaps in AI training data or search results.
- Measurement Planning establishes a consistent set of queries to track brand mentions and citations across different AI platforms.
How it works
- Intake where you provide URLs, topics, or competitor data to define the scope.
- Analysis of provided content against evidence-aware criteria like attribution and usefulness.
- Strategy Generation resulting in a structured plan for content updates and new asset creation.
- Roadmap Execution providing a prioritized list of actions based on effort and potential impact.
Frameworks & tools
This tool works with standard web content, Schema.org entities, and structured data. It applies to content hosted on any CMS, including WordPress, Ghost, or custom React/Next.js stacks.
Why this beats prompting it yourself
Generic prompts often output vague SEO advice or hallucinate "guaranteed" citation hacks. This skill follows a strict evidence-aware workflow that distinguishes between verified facts and hypotheses, ensuring your strategy is based on actual content structure rather than marketing fluff.
Use cases
- Auditing product pages to ensure technical specs are easily scrapable by AI agents.
- Creating a content calendar based on gaps where competitors are being cited instead of you.
- Refining executive bios and "About" pages to strengthen entity-relationship signals.
- Building an internal FAQ database optimized for retrieval-augmented generation (RAG) systems.
Known limitations
This skill cannot guarantee citations or specific rankings. It does not check live AI answers or search results unless you provide the specific mention reports or referral data for analysis.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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