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.
Built for B2B teams that need publish-ready search content without managing writers, prompts, tools or handoffs.
Vanaxity researches buyer questions, creates review-ready articles, ships through your CMS and reports what passed quality gates.








Vanaxity maps SERPs, competitors, citation gaps and brand voice, then produces SEO, GEO and AEO content packages your team can review and ship.
SERP notes and outline queued for review
Approved. Move to final publish pass
Article, schema and visuals cleared for launch
Research, validation and publishing workflow
A short reel of the Vanaxity production loop.
Research, drafting, validation and publishing move through one controlled workflow instead of scattered handoffs.
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.”
Founder-led modelCustom production engine for SEO, GEO and AEO
Traditional providersGeneric tools, retainers or advice decks
Founder-led modelResearch, generation, QA, CMS prep and reporting in one loop
Traditional providersSplit writers, consultants and developers
Founder-led modelDesigned for Google rankings, ChatGPT citations and AI answer extraction
Traditional providersBlue-link SEO first, answer engines later
Founder-led modelOpenAI, LangGraph, Playwright and custom QA gates
Traditional providersPrompt chains or static content workflows
Founder-led modelPublish-ready content packages, schema, visuals and run reports
Traditional providersDrafts, calendars or strategy documents
Founder-led modelFounder-led build and operating cadence
Traditional providersOne-and-done projects or ticket queues
Custom production engine for SEO, GEO and AEO
Generic tools, retainers or advice decks
Research, generation, QA, CMS prep and reporting in one loop
Split writers, consultants and developers
Designed for Google rankings, ChatGPT citations and AI answer extraction
Blue-link SEO first, answer engines later
OpenAI, LangGraph, Playwright and custom QA gates
Prompt chains or static content workflows
Publish-ready content packages, schema, visuals and run reports
Drafts, calendars or strategy documents
Founder-led build and operating cadence
One-and-done projects or ticket queues
Confirm the market, workflow and go / no-go before spending on a build.
One production loop replaces split handoffs across tools, writers, editors and consultants.
Turn the first audit into answer pages, sales snippets and founder-led posts your market can quote or share.
Doubts? Reach out to us at trantienvan@vandatateam.com or Chat with Van
Custom

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
Van exceeded all expectations with exceptional professionalism and expertise. The work landed ahead of schedule and the quality was consistently high.
One of the best contractor experiences I have had on Upwork. The task was challenging and everything was delivered perfectly ahead of schedule.
Tran demonstrated a deep understanding of our requirements and made a meaningful difference in the final outcome from day one.
Van is excellent to work with. Complex requirements never became blockers and communication stayed strong the entire time.
Original client feedback in English
Tomer S.
Van exceeded all expectations with exceptional professionalism and expertise. The work landed ahead of schedule and the quality was consistently high.
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.
Preska T.
Tran demonstrated a deep understanding of our requirements and made a meaningful difference in the final outcome from day one.
Nate R.
Van is excellent to work with. Complex requirements never became blockers and communication stayed strong the entire time.
Kevin M.
Van's expertise in data engineering is remarkable. He optimized our pipelines and saved us months of development time.
Alex J.
Fast, responsive, professional. Really appreciated the thorough documentation too.
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.
Marketing M&A is accelerating, with LUMA Partners counting 469 ad tech and marketing deals in 2025, up 13%, alongside giant moves like Omnicom's $13 billion purchase of Interpublic and Adobe's $1.9 billion deal for Semrush, and while a new owner can bring better tools and specialists, clients feel an acquisition through changed teams, reporting, and priorities, so the practical response is to protect account knowledge, keep your own copies of data and history, compare results before and after, and write change-of-control protections into agency contracts.
Technical SEO debt used to cost you crawl budget and rankings, but it now costs AI search visibility too, because testing by Vercel and MERJ found that none of the major AI crawlers execute JavaScript, so anything rendered in the browser is invisible to ChatGPT, Claude, and Perplexity, and since those crawlers already fetch at roughly a quarter of Googlebot's volume, the practical answer is to reserve a fixed slice of every sprint for debt paydown, prioritize by revenue impact rather than audit severity, and check what bots actually see rather than what your browser shows.
At its Unbound conference on September 16, 2026, HubSpot tied answer engine optimization, ChatGPT Ads, and AI agents into its CRM through a shared layer it calls growth context, building on the HubSpot AEO product it launched in April, and while the company reports large gains from early customers, an independent analyst calls the release an evolution in better packaging, so the practical lesson for marketers is that CRM-native AEO is most valuable for linking AI search visibility to pipeline, and least reliable when a single visibility score is treated as proof of results.
Doubts? Reach out to us at trantienvan@vandatateam.com
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.