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.
Small Agencies: What Wins When Independence Isn't Enough
Small agencies can no longer win on independence alone, Ad Age reported in July 2026, as holding companies consolidate and clients ask for proof, not positioning. Ad Age's first Small Agency Network benchmark survey found 71% of AI-mature agencies grew revenue last year against 33% of lighter AI users, a link rather than proof that AI caused the growth. Publicis is winning big accounts without pitches, more than half of independent owners say they'd consider selling, and business buyers now start much of their research in AI tools. The small agencies that win pick a clear focus, build AI into delivery, price on outcomes and make sure buyers can find them, including in AI answers.
Meta Ad Costs Are Up 12%: How Media Buyers Are Adapting
Meta's average price per ad rose 12% year over year in both the first and second quarters of 2026, according to its earnings reports, and media buyers told Marketing Brew that CPMs have climbed across ad formats. Meta says results have improved too, citing an internal study that found $4.13 in revenue per ad dollar, while Metricool's independent data shows Meta Sales campaign ROAS falling from 5.48x to 4.57x. Some advertisers are moving budget from the holidays to the cheaper 'Q5' window after Christmas, leaning on Advantage+ and testing more creative. Higher paid costs also make owned visibility, including how AI tools describe your brand, worth more.
Advertising Fails: Why They Now Live On in AI Search
A Bored Panda list of 65 advertising fails from Reddit's r/AdvertisingFails community went viral in October 2026. Typos, confusing layouts, odd placements and strange AI images were all approved and published. Bigger brands have failed too, from McDonald's grief ad and Nivea's 'White is Purity' post to Apple's 'Crush' iPad ad and Coca-Cola's AI holiday spots. Gartner says 81% of US consumers try to tune out ads, so a bad ad wastes more than ever. And because Reddit is the most-cited domain in AI search, a failed ad can keep showing up in AI answers about your brand for years.
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.