π SEO & AEO Target Definition
BaC Principle
βA filter you canβt run in code isnβt a filter β itβs a preference. Codify your targeting criteria so agents can execute them without interpretation.β β Business as Code Manifesto
This file is the machine-readable targeting specification for the SEO & AEO optimization process. It defines what the site is, what it should rank for, who it competes against, and how to score content opportunities. When this file changes, the entire optimization pipeline recalibrates.
See Map of Content for full vault navigation.
π― Site & Goal Definition
target:
domain: businessascode.co
site_description: >
Business as Code β a methodology and content platform teaching companies
how to make their business processes machine-readable, AI-executable, and
self-improving. Primary audience: operations leaders, founders, and
automation-minded professionals.
primary_goal: organic_traffic_growth # Options: organic_traffic_growth | ai_citation_rate | brand_visibility
secondary_goals:
- ai_citation_rate # Cited by LLMs when users ask about business automation
- featured_snippets # Own answer boxes in Google
- google_ai_overviews # Surface in Google's AI-generated answers
- topical_authority # Recognized as the go-to source for BaC topics
target_audience:
primary: operations leaders, COOs, founders at 10-200 person companies
secondary: automation engineers, AI product managers
knowledge_level: intermediate # understands automation concepts, new to AI agentsπ Keyword & Topic Targeting
keywords:
seed_topics:
- business automation
- AI agents for business
- business process automation
- business as code
- LLM agents operations
- AI-powered SOPs
- no-code automation
- process documentation AI
intent_types:
informational:
weight: 0.5 # Blog posts, guides, explainers
examples:
- "what is business as code"
- "how to automate business processes with AI"
- "AI agents for operations"
navigational:
weight: 0.1 # Brand search β capture, not create
examples:
- "businessascode.co"
- "business as code manifesto"
commercial:
weight: 0.3 # Comparison, "best", "top" queries
examples:
- "best AI tools for business automation"
- "zapier vs AI agents"
transactional:
weight: 0.1 # Direct conversion intent
examples:
- "business automation consulting"
- "AI agent setup for my business"
content_pillars:
- id: CP1
name: Business as Code Methodology
description: Core BaC concepts, manifesto, philosophy
priority: HIGH
- id: CP2
name: Use Case Playbooks
description: Step-by-step BaC implementations per business function
priority: HIGH
- id: CP3
name: AI Agent Specifications
description: How to write agent specs, prompt engineering for ops
priority: MEDIUM
- id: CP4
name: Tool Comparisons & Stack
description: Which tools to use for BaC implementations
priority: MEDIUM
- id: CP5
name: Metrics & Self-Improvement Patterns
description: How to instrument and evolve automated business processes
priority: LOWπ Keyword Scoring Model
Opportunities are scored 0β100. Higher = higher priority to target.
scoring_model:
formula: >
score = (search_volume_score Γ 0.25)
+ (difficulty_score Γ 0.25)
+ (intent_match_score Γ 0.30)
+ (aeo_potential_score Γ 0.20)
search_volume_score:
description: Normalized monthly search volume
thresholds:
- range: ">10,000/mo"
score: 100
- range: "1,000β10,000/mo"
score: 70
- range: "100β999/mo"
score: 40
- range: "<100/mo"
score: 20
difficulty_score:
description: Inverted KD β easier = higher score
thresholds:
- range: "KD 0β20"
score: 100
- range: "KD 21β40"
score: 70
- range: "KD 41β60"
score: 40
- range: "KD >60"
score: 10
intent_match_score:
description: How well this query maps to the site's value proposition
thresholds:
- match: "core topic (BaC, AI ops)"
score: 100
- match: "adjacent (automation tools, no-code)"
score: 60
- match: "tangential (general productivity)"
score: 20
aeo_potential_score:
description: Likelihood an LLM will reference this content in its answers
thresholds:
- type: "definitional / how-to / comparison"
score: 100
- type: "process / checklist / framework"
score: 80
- type: "opinion / news"
score: 20
scoring_thresholds:
priority_high: "score β₯ 70 β include in content sprint"
priority_medium: "score 50β69 β queue for next quarter"
priority_low: "score 30β49 β monitor only"
disqualify: "score < 30 β skip"π« Disqualification Rules
disqualification:
- condition: keyword is purely brand-specific to a competitor
action: skip
- condition: SERP dominated by big-box media (Wikipedia, Forbes, HBR) with DA > 90
action: skip_unless_aeo_potential >= 80
- condition: informational intent but zero AEO potential (highly niche, no FAQ structure possible)
action: deprioritize
- condition: keyword requires E-E-A-T credentials we cannot establish (medical, legal, financial)
action: skipπ€ AEO Targeting
aeo_targets:
platforms:
- id: chatgpt
citation_style: factual_answers_with_source_links
optimization_focus: clear_definitions, structured_how_tos
- id: perplexity
citation_style: direct_webpage_citations_in_answers
optimization_focus: factual_density, source_authority, schema_markup
- id: claude
citation_style: synthesized_answers_with_attribution
optimization_focus: nuanced_content, clear_entity_definitions
- id: gemini
citation_style: google_knowledge_graph_aligned
optimization_focus: structured_data, entity_disambiguation
- id: google_ai_overviews
citation_style: featured_snippet_expansion
optimization_focus: answer_first_paragraphs, FAQ_schema, HowTo_schema
citation_goal: "Cited by β₯ 3 AI platforms for each target topic cluster"
aeo_query_types:
- "What is [concept]?" # Definitional β highest AEO priority
- "How to [action] with AI?" # Instructional
- "What are the best [tools] for [task]?" # Comparative
- "How does [company/method] work?" # Explanatory
- "What is the difference between [A] and [B]?" # Contrastiveπ’ Competition Profile
competition:
direct_serp_competitors:
- domain: zapier.com
strength: high
overlap: automation workflows, tool comparisons
- domain: processst.com
strength: medium
overlap: process documentation
- domain: fellow.app
strength: medium
overlap: operations SOPs
ai_space_competitors:
description: >
Sources currently cited by LLMs when answering questions about business
process automation and AI agents.
note: Run quarterly AI citation audit to update this list
positioning_gap: >
No major site owns the "AI-executable business process" niche. Most content
is either generic automation tutorials or enterprise BPM. BaC occupies the
intersection of AI-native operations and practical implementation guides.π Content Inventory Profile
content_profile:
existing_pages: ~10 # update after S1 site audit
indexed_pages: ~10
target_language: en
publishing_cadence: 4 articles/month
average_word_count_target: 1800
content_types:
- pillar_pages # 3,000+ words, broad topic coverage
- cluster_pages # 800β1,500 words, specific subtopics
- use_case_playbooks # 2,000β3,500 words, BaC vault content
- comparison_pages # 1,000β2,000 words, tool comparisonsπ Changelog
changelog:
- version: 1.0.0
date: 2026-04-02
author: CMO
change: Initial target definitionπ Related Files
- 01-Process-Manifest β How this spec feeds into the process
- 03-Site-Audit-Agent β Uses this spec to scope the crawl and baseline
- 04-Keyword-and-Topic-Research-Agent β Uses seed topics + scoring model
- 10-Metrics-and-Self-Improvement β Improvement proposals may update this spec