Step 1
Discover opportunities
AI scans topic questions plus real knowledge gaps, dedupes and ranks the best “question opportunities” to address.
Dual-track readiness scan
Classic SEO vs next-gen GEO — same page, two eras
Paste any product or brand URL. We score classic search-engine signals (TDK, H1, alt text, sitemap) alongside AI-era GEO signals (JSON-LD, fact blocks, llm.txt, conversational Q&A).
Free · no login · report in ~30 seconds
OntoGlow Brain
Commerce knowledge graph AI that truly knows your store
Upload GMC feeds to grow a product knowledge web. Patch prices — shoppers get the latest quote instantly. Q&A, policy, and content share one traceable source — plus a GEO loop that turns “questions people ask AI” into brand assets.
- Dual-track writes: ingest discovers & connects; catalog sync keeps data accurate
- Intent-routed chat: product search, education, policy, brand tone — separate paths
- Knowledge gap loop: unanswered questions become writable, publishable, trackable opportunities
- GEO campaigns: discover → pillar article → structured publish → AI visibility tracking
Generative Engine Optimization · GEO Campaigns
When people ask AI, your brand should be the answer
ChatGPT, Perplexity, and Google AI are reshaping how people buy — they ask “which brand fits me?” instead of typing keywords. OntoGlow turns gaps from chat and search into an operable loop: discover → write → publish → verify.
No more “publish and forget”: every article is grounded in your graph, ships with canonical URLs and JSON-LD, tracks internal gap closure, and probes whether AI cites your domain.
Step 2
Write pillar content
Select 3–6 related questions and merge into one authoritative pillar article — grounded facts, relevant SKU embeds.
Step 3
Publish for AI
Brand HTML templates + store profile + product cards → public GEO pages with OG tags and JSON-LD AI crawlers can parse.
Step 4
Close the loop
Internal ring: gap stats and bot access logs. External ring: Perplexity probes — did your links appear in AI answers?
Internal ring · real conversations & gaps
Unanswered chat turns into gap inventory; GEO discovery prioritizes high-value questions. After publish, track bot hits and opportunity status (open → accepted → addressed).
External ring · AI search visibility
Manual Perplexity probes check whether citations hit your domain for each campaign question — validate before you write the next article.
E-commerce pain points — how OntoGlow solves them
| Pain point | Typical approach | OntoGlow |
|---|---|---|
| Support quotes old prices after a sale | Document libraries need re-upload and re-indexing; plugins read snapshots only | Catalog sync updates price and stock in milliseconds — no full knowledge rebuild |
| Returns, duties, ingredients answered wrong | Model hallucinates; no audit trail | Graph relations + evidence chunks — answers you can verify |
| Many SKUs, messy aliases, EN/ZH splits | Same product split into duplicate records; search gets messy | Smart entity merging — multilingual aliases normalized automatically |
| Unanswered questions mean lost sales | No closed loop; issues disappear | Knowledge gaps → GEO opportunities → pillar articles → verify AI cites your pages |
| ChatGPT / Perplexity search doesn't surface your brand | SEO articles siloed from chat; AI crawlers miss structured, citable answer pages | GEO campaigns: discover questions → graph-grounded pillar → JSON-LD pages → probe visibility |
| SEO content vs chat use different knowledge | Two silos, inconsistent messaging | Content and chat share one knowledge source; publish with SEO/GEO structured data |
Three layers — from data to conversion
Knowledge
Discover- Product feeds / policy copy / plain text → async import with progress
- Graph visualization: entities, relations, evidence chunks
- Health at a glance: missing data, needs work, or ready to trust
Operations
Stay accurate- SKU maintenance: price, stock, batch sync
- Product pipeline: catalog → auto-indexing → optional relationship weaving
- Entities can be paused, rolled back, or updated — every change traceable
Applications
Convert- Smart chat: product search / education / policy / brand conversation
- GEO campaigns: discover → pillar merge → publish → internal & external tracking
- Content: editable drafts, product embeds, brand templates, public GEO URLs
From one conversation to showing up in AI search
-
1
Upload GMC
Graph auto-links materials, scenarios, and brands
-
2
Shopper asks
Intent routing: product search, education, policy — separate paths
-
3
Can't answer
Enters the gap pool — raw material for GEO discovery
-
4
Launch GEO campaign
Pick topic nodes; AI discovers opportunities + merges gaps
-
5
Publish pillar article
Merge questions into one authoritative page with SKU embeds
-
6
Verify AI visibility
Internal: bot hits & gap closure. External: Perplexity citation probes
View English sample article
Enterprise-ready
- Graph-enhanced retrieval: semantics and relationships recalled together
- GEO structured publish: Article + Product JSON-LD for AI-readable pages
- Per-store isolation + AI usage audit and quota controls
- Standard APIs that integrate with your store backend or ERP
- Platform-neutral: each vertical can customize domain context and extraction rules
Who it's for
DTC store owners
GMC + API sync for product-aware AI support — GEO campaigns help AI search find you too
Cross-border brands
Alias merging for multilingual SKUs; GEO pillar pages + probes for multi-market AI visibility
Agencies
Multi-tenant hosting with health metrics + GEO campaign KPIs for SLA and renewals
Frequently asked questions
What is OntoGlow?
OntoGlow is a commerce knowledge graph platform. It ingests product feeds and policy documents, keeps catalog data in sync, and powers AI shopping assistants plus GEO campaigns that publish structured pages AI search engines can cite.
What is GEO (Generative Engine Optimization)?
GEO is the practice of making your brand discoverable in AI answer engines such as ChatGPT, Perplexity, and Google AI Overviews — through authoritative content, JSON-LD structured data, and pages that directly answer questions shoppers ask AI.
How is OntoGlow different from a generic chatbot?
OntoGlow grounds answers in a product knowledge graph with evidence traceability, routes intents separately (search, education, policy), and closes the loop: unanswered questions become knowledge gaps, then GEO pillar articles, then verified AI visibility.
Do I need to log in for the GEO site audit?
No. Paste any public URL on the homepage and receive a dual-track SEO + GEO report in about 30 seconds — no account required.
How does the knowledge graph stay in sync with my catalog?
OntoGlow uses dual-track writes: knowledge ingest discovers entities and relations, while catalog sync updates price, stock, and SKU master data in near real time without rebuilding the entire graph.