6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Conversion SpecThe 'Client Win' First-Paragraph Rule
Client Acquisition Velocity
Implementation Pattern
"Provide a concise, declarative answer to the prospective client's implicit need (e.g., 'increase ROI,' 'scale leads') in the first 40-60 words."
Citation Triggers
AI models and busy agency owners prioritize context-dense information. State the core value proposition immediately: 'Our agency drives measurable [KPI] growth for [Industry Vertical] clients through data-driven social strategies, achieving an average [X]% ROI increase.' Use objective language.
02
Structural SpecService-Based Semantic Header Hierarchies (H2 & H3)
Service Clarity Score
Implementation Pattern
"Use headers to logically structure service offerings and client outcomes, not just for visual hierarchy."
Citation Triggers
Every H2 should define a core service (e.g., 'Paid Social Campaign Management,' 'Organic Content Strategy'). Every H3 should detail a specific outcome or methodology within that service (e.g., 'Audience Segmentation Tactics,' 'Creative Iteration Frameworks'). Align headers with 'What services does a social media agency offer?' search intent.
03
Metadata SpecSchema Markup for Service Offerings & Case Studies
Search Visibility Index
Implementation Pattern
"Deploy `Service` and `Review` (for testimonials) schemas as the primary data exchange layer for discoverability."
Citation Triggers
Structured data explicitly informs search engines about your offerings. `Service` schema allows for direct extraction of your service catalog. `Review` schema (with aggregate ratings) boosts trust signals for AI-driven local search and featured snippets. Consider `Article` schema for case studies.
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04
Contextual SpecIndustry-Specific Client Success Neighborhoods
Client Vertical Alignment
Implementation Pattern
"Map your case studies and service pages to the specific entities and KPIs relevant to target client industries."
Citation Triggers
AI models understand context through related entities. If you target 'e-commerce social media marketing,' the model expects related entities like 'ROAS,' 'Customer Acquisition Cost (CAC),' 'Conversion Rate,' and 'Cart Abandonment.' Consistently associate your agency with these terms in client stories.
05
Authority SpecProprietary Data & Client Testimonial Uniqueness
Client Trust Score
Implementation Pattern
"Showcase unique client results, proprietary analytics dashboards, and founder insights to establish 'Primary Source' authority."
Citation Triggers
AI prioritizes unique, verifiable data. Publishing anonymized 'Client Performance Benchmarks' or 'Industry Trend Reports' provides high uniqueness. Being cited in client success stories by authoritative industry publications or platforms is a critical AEO signal.
06
Formatting SpecOutcome-to-Service Mapping
Client Value Proposition Clarity
Implementation Pattern
"Format client results as declarative 'Outcome Statements' rather than vague marketing claims."
Citation Triggers
LLMs parse structured lists and statements effectively. Instead of 'We improve engagement,' use '[Agency Name] increased client [Client Industry] engagement by [X]% through targeted [Platform] content strategies,' mapping specific outcomes to services.
Pro Tips & Insights
01
AEO for agencies is the 'Client Conversion' strategy. Even if prospects don't click directly, seeing your agency cited as the expert solution for a specific problem builds immense authority and recall.
02
Content structure is a conversion accelerator. Machine-readability is the prerequisite for being surfaced in AI-powered search results and recommendation engines. If AI can't parse your value, it won't recommend you.
03
The 'Agency Moat' in AEO is 'Specialization.' You want search models to associate '[Your Agency Name]' with phrases like 'The leading [Niche] social media growth partner.'
04
Verifiable Results win. AI models favor objective, data-backed outcomes over subjective service descriptions. Shift your copy from 'What we do' to 'What results we deliver for clients.'
