Turn buyer questions into publish-ready pages
Vanaxity maps SERPs, competitors, citation gaps and brand voice, then produces SEO, GEO and AEO content packages your team can review and ship.
AI AgentContent SEO · GEO · AEO
A custom AI content engine for Google, ChatGPT and AI answers
Built for B2B teams that need publish-ready search content without managing writers, prompts, tools or handoffs.
Optimized for answer engines
ChatGPTPerplexityGeminiClaude
Vanaxity researches buyer questions, creates review-ready articles, ships through your CMS and reports what passed quality gates.
Trusted across startups, healthcare, finance and data teams
Run content like an engineering system
Quality gates before anything ships
SERP notes and outline queued for review
Approved. Move to final publish pass
Article, schema and visuals cleared for launch
Works inside your CMS and approval flow
Built for Google, ChatGPT and AI answers
V
Research, validation and publishing workflow
One repeatable engine, not scattered drafts
One repeatable engine, not scattered drafts: OpenAI
One repeatable engine, not scattered drafts: Postgres
One repeatable engine, not scattered drafts: Playwright
One repeatable engine, not scattered drafts: LangGraph
One repeatable engine, not scattered drafts: Google Cloud
One repeatable engine, not scattered drafts: GitHub Actions
One repeatable engine, not scattered drafts
Watch the production loop
A short reel of the Vanaxity production loop.
Proof from complex production systems
Operator-led production system
Research, drafting, validation and publishing move through one controlled workflow instead of scattered handoffs.
Public proof review excerpts and production systems.
Client feedback links back to the public Upwork profile, while the system cards show how delivery is actually operated.
“One of the best contractor experiences I have had on Upwork. The task was challenging and everything was delivered perfectly ahead of schedule.”
Technologies used around the workflow
OpenAI
LangGraph
Postgres
BigQuery
Playwright
SlackVanaxity vs retainers, tools and generic SEO delivery
CriteriaFounder-led modelTraditional providers
Approach
Founder-led modelCustom production engine for SEO, GEO and AEO
Traditional providersGeneric tools, retainers or advice decks
Process
Founder-led modelResearch, generation, QA, CMS prep and reporting in one loop
Traditional providersSplit writers, consultants and developers
Search philosophy
Founder-led modelDesigned for Google rankings, ChatGPT citations and AI answer extraction
Traditional providersBlue-link SEO first, answer engines later
AI stack
Founder-led modelOpenAI, LangGraph, Playwright and custom QA gates
Traditional providersPrompt chains or static content workflows
Deliverables
Founder-led modelPublish-ready content packages, schema, visuals and run reports
Traditional providersDrafts, calendars or strategy documents
Support
Founder-led modelFounder-led build and operating cadence
Traditional providersOne-and-done projects or ticket queues
Approach
Founder-led model
Custom production engine for SEO, GEO and AEO
Traditional providers
Generic tools, retainers or advice decks
Process
Founder-led model
Research, generation, QA, CMS prep and reporting in one loop
Traditional providers
Split writers, consultants and developers
Search philosophy
Founder-led model
Designed for Google rankings, ChatGPT citations and AI answer extraction
Traditional providers
Blue-link SEO first, answer engines later
AI stack
Founder-led model
OpenAI, LangGraph, Playwright and custom QA gates
Traditional providers
Prompt chains or static content workflows
Deliverables
Founder-led model
Publish-ready content packages, schema, visuals and run reports
Traditional providers
Drafts, calendars or strategy documents
Support
Founder-led model
Founder-led build and operating cadence
Traditional providers
One-and-done projects or ticket queues
Fast fit check
Confirm the market, workflow and go / no-go before spending on a build.
Lower operating drag
One production loop replaces split handoffs across tools, writers, editors and consultants.
Reusable search assets
Turn the first audit into answer pages, sales snippets and founder-led posts your market can quote or share.
Choose how to start
Doubts? Reach out to us at trantienvan@vandatateam.com or Chat with Van
Getting startedFree
Free consultation fit check before scope
- 30-min working call with Van
- Clear go / no-go recommendation
- AI search visibility map for Google, ChatGPT and Perplexity
- Three fastest content assets to publish first
EnterpriseB2B
Contact sales for enterprise teams
Custom
- B2B rollout scope and procurement path
- Custom AI content engine architecture
- Security, workflow and CMS requirements
- Implementation plan for enterprise teams
The Founder's Desk
Hi, I’m Van. I’ve been building data pipelines and AI systems for over 8 years, working with startups, agencies, and enterprises to turn messy content operations into measurable, repeatable engines.
I started Van Data Team to help businesses own their search presence, not just on Google but across ChatGPT, Perplexity, Gemini and every AI engine that now decides what gets cited. Each build is custom, founder-led, and quality-gated by numbers, not vibes.
Public client feedback excerpts
TSTomer S.
Upwork reviewVan exceeded all expectations with exceptional professionalism and expertise. The work landed ahead of schedule and the quality was consistently high.
FZFeng Z.
Upwork reviewOne of the best contractor experiences I have had on Upwork. The task was challenging and everything was delivered perfectly ahead of schedule.
PTPreska T.
Upwork reviewTran demonstrated a deep understanding of our requirements and made a meaningful difference in the final outcome from day one.
NRNate R.
Upwork reviewVan is excellent to work with. Complex requirements never became blockers and communication stayed strong the entire time.
What people have been saying
Original client feedback in English
TS
Tomer S.
Van exceeded all expectations with exceptional professionalism and expertise. The work landed ahead of schedule and the quality was consistently high.
FZ
Feng Z.
One of the best contractor experiences I have had on Upwork. The task was challenging and everything was delivered perfectly ahead of schedule.
PT
Preska T.
Tran demonstrated a deep understanding of our requirements and made a meaningful difference in the final outcome from day one.
NR
Nate R.
Van is excellent to work with. Complex requirements never became blockers and communication stayed strong the entire time.
KM
Kevin M.
Van's expertise in data engineering is remarkable. He optimized our pipelines and saved us months of development time.
AJ
Alex J.
Fast, responsive, professional. Really appreciated the thorough documentation too.
Latest thinking on SEO, GEO and AEO
Field notes from Van Data Team on AI search strategy — how SEO, GEO and AEO work across Google, ChatGPT, Perplexity, Gemini and Claude, and what changes for content teams shipping into answer engines.
AI Bubble or Boom? What TSMC's Record Quarter Means
TSMC reported record third-quarter 2026 results on October 15: revenue of NT$1.49 trillion, or $46.72 billion, up 50.9% in local currency, and net income up 68.7%, driven by demand for chips used in AI. A day earlier, Gartner warned that more than $3.5 trillion of planned AI infrastructure spending could be exposed to impairment by 2030 if AI revenue doesn't catch up. Both can be true: the companies selling chips are making record profits now, while the companies buying them still have to prove the returns. For marketers, that means AI tools will keep improving, but vendor consolidation is coming, so budgets should favor proven value and flexible contracts.
Muse Spark Open for Marketers: License, Cost and Uses
Meta released the weights for Muse Spark Open on October 15, 2026, the first open version of its Muse Spark line. It has 816 billion parameters, 42 billion active per token, a 1 million token context window and native support for text, images, video and audio. Meta calls it the most capable US open-weight model and says it can run on two Apple M5 Ultra Mac Studios. In Meta's own tests it leads on agent and tool-use benchmarks but trails Chinese open models on overall scores and coding. The license is free for most uses but requires a Built with Muse Spark Open label, and hosted access starts at $1.25 and $4.25 per million input and output tokens.
Board Credibility
Governance & ROIboard credibilityB2B marketing
B2B Marketing Board Credibility: What Boards Want to See
At Marketing Week's Festival of Marketing on October 14, 2026, three B2B marketing leaders said marketers earn board credibility by understanding business economics, measuring what matters and showing how brand investment drives growth. The gap is real: McKinsey found 70% of CEOs judge marketing on revenue growth and margin, while only 35% of CMOs track that as a top metric. This guide turns the panel's advice into steps: learn the profit and loss, swap activity metrics for business ones, make the case for brand as future demand, apply deal rigour to spend, and add AI search visibility as an early signal of demand.
Frequently Asked Questions
Doubts? Reach out to us at trantienvan@vandatateam.com
Need to know if Vanaxity fits your workflow?
Van Data Team builds and operates the engine around your CMS, buyer questions, voice and review process. Use the email above for fit, procurement or rollout questions.
AEO (Answer Engine Optimization) is formatting content so answer engines, voice assistants and featured snippets can pull a direct, accurate answer to a question, using clear questions, concise answers and structured data.