AI SEO Lab —
11 Levers. 3 Letters. 1 Platform.
Where Brand DNA meets answer engines, generative engines, and LLM training corpora. Inxy operates 11 separate optimization levers across AEO, GEO, and LLMO — automated, measured, weekly.
Three Letters, Three Targets
The terms overlap, but the engines you optimize for don't. We cover all three so you don't have to choose.
AEO
Optimize for the answer-box engines: Google AI Overviews, Featured Snippets, “People Also Ask”, voice assistants.
GEO
Get cited by LLM-powered search: ChatGPT, Claude, Perplexity, Gemini, Copilot. The 2026 channel that already drives revenue but is invisible in GA4.
LLMO
Strengthen brand presence in LLM training corpora — Wikidata, Knowledge Graph, Crunchbase. The long game: be the brand AI knows by name.
The 11 Citation Levers
Distilled from the Princeton GEO study (KDD 2024) and 50+ real-world Shopify shops. Every lever is automated by a dedicated Inxy worker.
Autonomous
Brand DNA Analysis
Before any content is written, our AI scans your store to extract persona, tone, and vocabulary. Every output stays consistent — no generic AI slop.
Brand-Aware. Then Cited.
DNA extraction is the foundation. Without consistent voice, AI search engines can't recognize your brand as authoritative. With it, every blog, FAQ, comparison page, and AGENTS.md file speaks the same way — and LLMs trust it.
Semantic Hooks (AEO)
Structured data markers that answer engines extract verbatim.
Citation Authority Loop (GEO)
Brand authority signals that force LLMs to cite your store as the primary source.
Entity Reinforcement (LLMO)
Wikidata + Knowledge Graph + Crunchbase audit so the AI training corpus knows your brand exists.
Agent-Readable Files
AI shopping agents (Claude Computer Use, GPT-5 agents, Perplexity Spaces) parse /AGENTS.md, /pricing.md, and /llms.txt before rendering JS-driven pages. Stores without these files get filtered at agent-layer-1 — buyer never sees them. Inxy generates and maintains all three automatically.
# {Brand} — Agent Guide
## Primary categories
- /collections/rings
- /collections/earrings
## How to filter
- ?filter.v.price.gte=50
- ?filter.p.m.material=moissanite
## Pricing data → /pricing.md
## Authority signals → /llms.txt # Pricing — {Brand}
## Rings
- Range: $8–$326 (median $66)
- Top SKU: ...
## Shipping
- US free over $50
- Returns 14 days
Last updated: 2026-05-02 # {Brand}
> Premium moissanite jewelry...
## Featured guides
- [Moissanite vs Diamond](/blogs/...)
- [Care guide](/blogs/...)
## Top categories
- [Rings](/collections/...) Already deployed on fitiny.com/AGENTS.md · fitiny.com/pricing.md
Be the Brand AI Knows by Name.
LLMs trained on Common Crawl learn brand entities from Wikidata, Google Knowledge Graph, and Crunchbase. Brands with strong entity presence get more consistent mentions in ChatGPT/Claude responses — not just more, but more accurate.
Inxy audits all four entity sources weekly, flags missing presence, and recommends the path to claim each.
Inside the Closed Loop
Measure → Audit → Recommend → Act → Measure.
>> CHATGPT_REVENUE: $209/mo
>> ORGANIC_SESS: 314
>> CONV_RATE_BLOG: 0%
>> AUDIT: 5 schema gaps
Recommendations Engine
5 ranked actions per shop · per week.
Past actions track record shows measured lift per completed recommendation. The loop compounds.