SOLUTION 01 · DTC & E-COMMERCE BRANDSDTC & E-Commerce Brands
DTC Brand Growth & True Profit Attribution
Unite Shopify True ROAS profit evidence, AI shopping recommendations, and performance media
Built for direct-to-consumer and retail e-commerce brands facing inflated ad-platform ROAS and rising acquisition costs. We structure your product feeds, comparison pages, and review schema so ChatGPT Shopping, Perplexity, and Google AI Overviews recommend your products—while GravityAds True ROAS measures net contribution profit after COGS, refunds, and Shopify fees.
Key Challenges Solved
- Ad platform dashboards over-report conversions while SKU-level net margin remains opaque
- High-intent category queries ("Best X for Y") in ChatGPT and Perplexity recommend competitors
- Incomplete product schema, merchant feeds, and review signals block AI shopping extraction
Integrated Product & Service Stack
- ✓GravityAds True ROAS (order- and SKU-level net profit measurement)
- ✓CitationGraph product schema, merchant feed & buyer-guide activation
- ✓End-to-end DTC storefront operations + Google, Meta, Bing & TikTok paid media
SOLUTION 02 · B2B SAAS & ENTERPRISE TECHB2B SaaS & Enterprise Tech
B2B Buyer-Intent GEO & Technical Evidence Architecture
Win the AI shortlist across vendor comparisons ("X vs Y"), pricing evaluations, and technical due diligence
Enterprise buyers increasingly assemble vendor shortlists inside ChatGPT, Claude, Perplexity, and Google AI Overviews before ever filling out a demo form. We engineer machine-readable fact layers (llms.txt, /ai/*.md), structured comparison matrices, and third-party authority citations so answer engines represent your capabilities, security posture, and pricing accurately.
Key Challenges Solved
- AI engines cite outdated documentation or competitor narratives on high-intent "X vs Y" queries
- Developer docs, API references, and compliance pages are poorly indexed by OAI-SearchBot and PerplexityBot
- Zero-click AI research leaves B2B pipeline attribution blind in standard last-click GA4 setups
Integrated Product & Service Stack
- ✓CitationGraph AI Evidence Center (server-side crawler logs + AI referral attribution)
- ✓Machine-readable authority stack (llms.txt, /.well-known/ai-agent.json, JSON-LD graph)
- ✓High-intent comparison, pricing-architecture, and implementation-proof page engineering
SOLUTION 03 · PUBLIC AFFAIRS & POLICY INSTITUTIONSPublic Affairs, Trade Associations & Think Tanks · Custom-Scoped
Public Affairs, Policy & Institutional AI Citation Integrity
Audit source provenance, counter partisan or stale secondary citations, and structure official policy records across EU/UK, Japan, and the US
Designed for Brussels/London/DC public affairs agencies, trade associations navigating EU Regulation 2024/900 (and the Google/Meta issue-ad ban), think tanks, and Japanese policy organizations preparing for the 2027 unified local elections. We use CitationGraph to audit which sources AI engines cite on your core policy issues and deploy verifiable first-party evidence hubs.
Key Challenges Solved
- Loss of paid issue-advocacy ad channels in the EU under Regulation 2024/900 requires strong organic AI discoverability
- ChatGPT and Perplexity cite partisan "pink slime" outlets or outdated secondary commentary instead of your official record
- Dense PDF whitepapers and legislative testimony fail RAG extraction without structured HTML/Schema companions
Integrated Product & Service Stack
- ✓CitationGraph cross-platform policy prompt & source-provenance auditing
- ✓First-party policy evidence hubs (/ai/*.md, FAQPage/Dataset Schema, HTML whitepaper companions)
- ✓Multi-client agency workspaces & co-branded audit reporting (Custom-Scoped)
SOLUTION 04 · REGIONAL AI ECOSYSTEMSRegional AI Ecosystems
Regional & Multilingual AI Search Ecosystems (US, EU, Japan, Korea, China LLMs, LatAm, GCC)
Native evidence engineering tailored to local answer engines, portals, and regulatory trust signals across 9 languages
AI discovery is not uniform worldwide: DACH and France require GDPR/EU AI Act trust signals and Mistral/Google local authority; Japan runs on a dual track of Google Japan and Yahoo! JAPAN / LINE Yahoo; South Korea requires Naver + AI alignment; and Mainland China is governed by domestic LLMs (DeepSeek, Kimi, Doubao, Yuanbao, Tongyi, Baidu). We build native localized evidence layers for each market.
Key Challenges Solved
- Machine-translated pages fail to earn citations in Yahoo! JAPAN, Naver, Google.de, Google.fr, or regional AI answers
- International brands lack entity definitions and authoritative Chinese-language sources inside DeepSeek, Kimi, and Doubao
- Misconfigured hreflang, canonicals, and localized schema cause AI crawlers to cite the wrong regional entity
Integrated Product & Service Stack
- ✓9-language regional GEO playbooks (EN, ZH, JA, KO, DE, FR, ES, PT-BR, AR)
- ✓China domestic LLM visibility program (DeepSeek, Kimi, Doubao, Yuanbao, Tongyi)
- ✓Localized AI Evidence Index (/ai/*-market-geo-*.md) & local authority citation building
