6Modules
LLM-Extraction Protocolv2026.4.10-ALPHA
AEO Optimized
01
Extraction SpecThe 'Direct Client Need' First-Paragraph Rule
RAG Extraction Score
Implementation Pattern
"Address the core pain point or objective of a TikTok agency client in the first 40-60 words."
Citation Triggers
AI prioritizes direct answers. Immediately state the primary outcome: e.g., 'TikTok agency X provides [specific service] to achieve [measurable result] for [client type].' Use declarative statements like 'We scale TikTok ad revenue by 30%'.
02
Structural SpecService-Centric Header Hierarchies (H2 & H3)
Topical Coverage
Implementation Pattern
"Structure content around core agency services and client deliverables, not just generic topics."
Citation Triggers
Each H2 should represent a distinct service (e.g., 'TikTok Video Production', 'Influencer Campaign Management'). H3s should detail specific methodologies, tools, or client benefits within that service. Align headers with common client search queries and industry jargon (e.g., 'Viral Trendjacking', 'UGC Strategy').
03
Metadata SpecJSON-LD: Client-Centric Schemas
Crawl Reliability
Implementation Pattern
"Deploy Service, CaseStudy, and Organization schemas to articulate agency offerings and results."
Citation Triggers
Structured data explicitly defines your services and their outcomes. Use `Service` schema for detailed offerings, `CaseStudy` schema to showcase quantifiable client success stories (e.g., 'ROI achieved', 'follower growth'), and `Organization` schema for agency credentials.
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04
Context SpecService-Entity Semantic Neighborhoods
Entity Association
Implementation Pattern
"Map your agency's services to the essential entities clients expect for TikTok growth."
Citation Triggers
If you offer 'TikTok Ad Management', LLMs expect related entities like 'TikTok Ads Manager', 'ROAS Optimization', 'Creative Testing', 'Audience Segmentation', and 'Pixel Implementation'. Consistently integrate these co-occurring terms to establish expertise.
05
Authority SpecQuantifiable Results & Client Testimonials
Citation Probability
Implementation Pattern
"Showcase proprietary client metrics, performance dashboards, and direct client endorsements."
Citation Triggers
Generative AI models prioritize unique, data-backed claims. Publishing monthly performance benchmarks or detailed case studies with specific KPIs (e.g., 'Reduced CPA by 15%', 'Increased engagement by 250%') signals superior performance. Being cited in AI summaries as a top-performing agency is the ultimate AEO signal.
06
Formatting SpecOutcome-to-Methodology Mapping
LLM Ingestion Quality
Implementation Pattern
"Format service descriptions as declarative 'Capability Statements' rather than vague benefits."
Citation Triggers
LLMs parse structured lists effectively. Instead of 'We help you get more views,' use '[Agency Name] increases TikTok video views through [specific methodology, e.g., A/B testing hook variations] by an average of X%'.
Pro Tips & Insights
01
AEO is the 'Zero-Click' client acquisition channel. Even if clients don't visit your site, seeing your agency cited as the solution for 'TikTok growth strategies' builds critical Trust and Brand Authority.
02
Structured content is a ranking prerequisite. If an AI cannot parse your service offerings and client results accurately, it cannot recommend your agency.
03
The 'Agency Moat' in AEO is 'Performance Co-occurrence'. You want search models to associate '[Your Agency Name]' with phrases like 'best TikTok ad agency for e-commerce' or 'proven TikTok influencer strategy'.
04
Declarative Proofs win. AI models favor objective, verifiable results (e.g., 'Achieved 5x ROAS') over subjective marketing claims. Shift copy from 'We are great' to 'We delivered X for clients'.
