AI Search Strategy
Field notes on Vanaxity, the SEO, GEO and AEO agent system built by Van Data Team for modern search visibility.
AI Marketing Platform: WPP's Data-Engineering Blueprint
An AI marketing platform reaches production when enterprise marketing, martech, growth, RevOps, and data-platform leaders give models a shared, governed data backbone.
No-Code AI Agents: A Marketer's Playbook
No-code AI agents let marketing, growth, RevOps, and sales-ops leaders turn manual, repetitive work into governed workflows without waiting for engineers.
Realtime Voice Agents and Proposed Native Tools
Realtime voice agents that need to look up live information or calculate an answer mid-call have required teams to route tool requests through custom proxies that pause and resume the audio connection, adding latency, brittle state handling, and governance
Agentic AI in Marketing: Lessons From HSP GRUPPE
Marketing, growth, RevOps, and sales-ops leaders can buy ChatGPT and count prompts yet still can’t tell whether agent-led lead qualification, campaign reporting, or personalized outbound saves time, improves quality, or creates unacceptable risk.
Claude Opus 5 on Google Cloud: Adoption Guide
Claude Opus 5 is now available on Google Cloud's Agent Platform for engineering, platform, and growth teams building production AI agents.
AI Agent Optimization: From Asking to Doing
For marketing, growth, SEO, and RevOps leaders, optimizing only to appear in AI answers creates a new gap: your brand gets cited when users ask, then skipped when they delegate the task and the agent selects another tool.
AI Marketing Governance: Lessons From the UK AISI Test
AI marketing governance is the operating system marketing, growth, and RevOps leaders need before deploying AI agents in customer-facing and automated marketing.
DeepSeek-V4-Flash: Evaluate a Silent Agent Upgrade
Bottom line DeepSeek-V4-Flash-0731 is a post-training update delivered in public beta through the existing API alias, retaining the preview architecture, size, and API surface.
AI Marketing Personalization: Fix Customer Data First
For marketing, lifecycle/email, and growth teams at brands with fragmented martech stacks, disconnected tools and scattered, siloed first-party data turn customer signals into slow, manual batch messages that get ignored.
Google Ads AI Labeling: The Brand-Safety Playbook
Marketing, brand, and RevOps teams running paid media with AI-made creative now face a specific Google Ads AI labeling risk: an honor-system disclosure checkbox for third-party tools, paired with a ban on deepfake-style depictions of real people, means one
GPT-5.6 Price Cuts: AI Agent Routing and FinOps Guide
The GPT-5.6 price cuts lower Luna API pricing by 80% and Terra by 20%, while adding a paid Fast mode for Sol. For founders, RevOps leaders, and platform or agent teams, this eases runaway agent costs but doesn't automatically fix slow, expensive inference.
Kimi K3 on AWS: The Self-Hosting Blueprint for AI Agents
If you run AI agents on a hosted API, three pains compound quietly: unpredictable token cost, vendor lock-in, and prompts leaving your VPC.
Google Ads Demand Gen Drop: AI Bidding Meets Direct Checkout
Your real challenge with the Google Ads Demand Gen Drop is deciding whether its faster Target ROAS ramp and direct-checkout path will turn creator video into trusted revenue, or automate spend against bad conversion values and stale product feeds.
FinOps for AI Agents: Microsoft's Path to Production
Summary Snippet FinOps for AI agents is the practice of measuring and optimizing the full cost of agent workflows—including inference, retrieval, tools, retries, evaluation, human review, and rejected work—against accepted business outcomes.
Microsoft Path to Production for Agents: Governance Playbook
Microsoft’s July 27 Path to Production for Agents accelerator highlights the real bottleneck: an agent that performs well in a prototype still cannot safely send SDR outreach, change campaigns, or write to a CRM without governance for non-deterministic
Claude Opus 5 vs GPT-5.6 Sol for AI Agents
For B2B marketing, RevOps, and engineering teams, the Claude Opus 5 vs GPT-5.6 Sol decision is not which model wins overall, but which should run novel-reasoning, agentic-coding, software-engineering, and health-adjacent workflows—and when output cost
Salesforce Autonomous AI Agents: What Agentforce Changes
Salesforce autonomous AI agents mark a real shift from prompt-by-prompt assistance to goal-directed action inside human-defined boundaries.
OpenAI Rule-Based Rewards for Brand-Safety Governance
Marketing teams adopting OpenAI Rule-Based Rewards as a governance model risk confusing a 2024 model-training technique for safety behavior with a tool that checks brand compliance or factual accuracy.
Google ATLAS AI Study: Collaborator, Not Automator
B2B marketing, RevOps, and content teams evaluating autonomous agents face a specific decision: whether to redesign work for hands-off automation when Google’s ATLAS data shows workplace AI is used mainly as a collaborator.
Agentic Loops in Marketing: What Microsoft's C++ Demo Teaches
Marketing and RevOps teams cannot safely deploy autonomous agents until they can define the equivalent of a passing C++ build: a trustworthy signal that tells the agent whether a campaign or outbound sequence worked, failed, or must stop.
Salesforce Agentforce Commerce: The GEO Playbook for AI Shopping
Salesforce Agentforce Commerce now lets retailers connect product catalogs directly to ChatGPT, while Google Search, including AI Mode, and the Gemini app remain scheduled for later this summer, according to Salesforce's June 24, 2026 release announcement.
Meta Anthropic Compute Talks Reveal AI Agents' Real Cost
Executive Summary: The preliminary Meta Anthropic compute talks matter for marketing and RevOps teams because, in Vanaxity's analysis, they show how compute cost, capacity, and reliability quietly cap always-on agents — throttling throughput, slowing
AI Agent ROI: How to Measure Cost per Successful Task
Your automated SDR can send messages, AI copywriter produce drafts, and media-buying agent run continuously—yet token bills and seat licenses miss how much quality-approved work actually succeeded, leaving real value invisible.
On-Device AI Agents and Privacy-First Brand Discovery
Your brand could be invisible when on-device AI agents surface “what comes next” before a customer searches, while the private context driving that suggestion remains unavailable for targeting or attribution.
Answer Engine Optimization After Google AI Mode Ads
Google’s US tests of conversational ads in AI Mode split brand visibility into two jobs: renting a clearly labeled Sponsored placement and earning an organic citation through Answer Engine Optimization, with no payment path between them.
Conversational Commerce Agents: The Brand Readiness Playbook
Conversational commerce agents turn a messaging thread into a storefront. Customers can discover products, compare options, receive recommendations, and progress toward a purchase without opening a product page.
Agentic Commerce Is Consent-First, Not a Free-for-All
Agentic commerce forces brands to prove that an AI buyer acted within a customer’s signed spending mandate while presenting prices, restrictions, availability, and refund terms the agent cannot misread.
Conversational Search Optimization After GPT-Live
OpenAI's GPT-Live release — full-duplex voice models that listen and speak at the same time, replacing the turn-based Advanced Voice Mode — moves conversational search optimization from a nice-to-have to an operating requirement.
Looker 26.12: What the release could change for marketing analytics teams
Looker 26.12 breaks down when source systems are scattered, reviews stay manual, handoffs are unclear, and risk is hard to prove. This guide is for operators who need a practical map, workflow, dashboard signal, review gate, and implementation plan. At Van Dat
Google Search Agents: What AI Mode Changes for GEO and AEO
Google Search agents are AI systems inside Google Search that can reason across web information, monitor changing topics, and return synthesized updates or generated interfaces instead of only showing a static list of links. For founders, marketers, and operat
GEO and AEO Strategy: Win the Shift From Clicks to Conversations
GEO And AEO Strategy breaks down when source systems are scattered, reviews stay manual, handoffs are unclear, and risk is hard to prove. This guide is for operators who need a practical map, workflow, dashboard signal, review gate, and implementation plan. At
Reported Claude Fable 5 Access Extension: What Paid Users Need to Know
Claude Fable 5 Access Extension breaks down when source systems are scattered, reviews stay manual, handoffs are unclear, and risk is hard to prove. This guide is for operators who need a practical map, workflow, dashboard signal, review gate, and implementati
The Data Engineering Behind AI Search Research: How Vanaxity Sees the SERP
A look under the hood at the data engineering that powers Vanaxity's SEO, GEO and AEO research: collecting SERP and answer-engine data, extracting competitor and citation signals from protected sources, and turning it into review-ready reporting.
The Scaling and Institutionalization of Autonomous Marketing Agents: Governance as the Enterprise Unlock
The scaling and institutionalization of autonomous marketing agents is the shift from one-off prompt experiments to agentic AI that runs marketing work as a permanent operating function - and governance, not raw model capability, is now the enterprise unlock.
XstraStar G-Power Framework: Standardizing AI Search Visibility Metrics for GEO and AEO
XstraStar G-Power Framework: Standardizing AI Search Visibility Metrics For GEO And AEO breaks down when source systems are scattered, reviews stay manual, handoffs are unclear, and risk is hard to prove. This guide is for operators who need a practical map, w
The 10 Blue Links Are Dead: Meet Vanaxity, the AI Agent for SEO, GEO and AEO
A senior-marketer introduction to Vanaxity, why search has moved beyond traditional SEO, and where an AI agent system can help or still needs human judgment.