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Shalini Verma · AI Marketing Engineer · Toronto, Canada

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Writing

Writing. 24 field notes on AI marketing.

Field notes on AI marketing: answer engines, agents, automation, GTM and measurement. Practical, sourced, no hype.

Measurement4 min readAd Creative Testing Against a Control: A Practical SystemTest ad creative the repeatable way: one variable at a time, every variant against a control, a fixed sample, and a log so each batch starts from a winner.
Automation4 min readAlways-On Social Publishing With n8n and ApprovalsRun social and ads every day without babysitting a queue: an approval-first publishing calendar in n8n with webhooks, and what it changed.
Measurement4 min readCAC, LTV and Payback Explained, With a Worked ExampleHow to calculate customer acquisition cost, lifetime value, the LTV:CAC ratio and CAC payback, with a worked example and the benchmarks still used.
AI agents4 min readClaude Code for Marketers: What Teams Actually BuildMarketers use Claude Code for ad variants, brand-voice skills and data pulls. Published examples, the setup that works, and the guardrails to keep.
AEO & GEO4 min readDo AI crawlers read JavaScript? What to do about itGPTBot, ClaudeBot and PerplexityBot read raw HTML and don’t run JavaScript. How to check your site, render content on the server and set robots.txt.
AEO & GEO4 min readGEO vs AEO vs SEO: what’s different and what to doSEO, answer engine optimization (AEO) and generative engine optimization (GEO) compared: what each targets, what overlaps, and a practical plan.
Lifecycle4 min readHoldout Tests for Lifecycle Marketing: Prove the LiftRun a holdout test on lifecycle email: pick the size, randomise, measure lift against people who got nothing, and report it with a confidence interval.
GTM4 min readHow to Build an Outbound Engine With Clay and n8nA five-step outbound system: target list, waterfall enrichment, a personal first line, Slack approval, then send. Setup, numbers and pitfalls.
AI agents4 min readHow to Build Marketing Agents With Evals That Teams TrustMarketing agents earn trust with a golden set, an LLM judge and a human gate. The setup, the metrics to track, and what changed when one team used it.
AEO & GEO5 min readHow to get cited by ChatGPT, Perplexity and GeminiA practical AEO playbook for getting your brand named in AI answers: crawlable pages, earned mentions, answer-first content and weekly tracking.
AEO & GEO4 min readHow to track your AI share of voice every weekMeasure how often ChatGPT, Perplexity and Gemini cite your brand: build a prompt set, run it weekly, score the answers and turn gaps into page fixes.
AI agents4 min readHuman Review Gates for AI Content: Why and HowA human review gate stops AI content drift before it ships. How to design one that stays fast, what to log, and what the EU AI Act means for labelling.
Measurement4 min readIncrementality and MMM With Google Meridian: A GuideHow Google's open-source Meridian MMM turns spend into ROI ranges per channel, and how geo holdouts calibrate it so budget moves on evidence.
AI agents4 min readLLM-as-Judge for Marketing Copy: Rubric and Golden SetScore AI-written ads and emails with an LLM judge: the rubric to write, the golden set to test against, and the regression checks that catch drift.
AEO & GEO4 min readllms.txt explained: what it does and what it doesn’tWhat llms.txt is, how to write one in the right format, and what the 2026 evidence says about its effect on AI citations and search visibility.
AI agents4 min readMCP Servers for Marketing Teams: A Practical SetupMCP connects AI agents to ads, analytics and the CRM. Which servers a marketing team needs, why four is enough, and where a person must confirm.
Automation3 min readn8n vs Zapier vs Make (2026): Which Fits Marketing?n8n, Zapier and Make compared for marketing automation in 2026: current prices, how each counts usage, and which suits which team.
Career3 min readNine Marketing Psychology Hooks, Backed by ResearchLoss aversion, curiosity, social norms, goal gradient, IKEA effect, defaults, decoys, peak–end and 95:5 — what each study found and how to use it honestly.
Career3 min readPortfolio SEO for marketers: get found by search and AIHow a marketer’s portfolio gets found in Google and AI answers: one clear entity, ProfilePage schema, crawlable case-study pages and earned mentions.
AEO & GEO4 min readProgrammatic SEO after the September 2026 spam updateWhat Google’s September 2026 spam update hit, what scaled content abuse means, and how to build programmatic and AI-assisted pages that stay safe.
AEO & GEO4 min readSchema markup for AI answers: what still mattersWhich JSON-LD types to use in 2026 (Article, Person, ProfilePage, Organization, FAQPage), what changed for FAQ rich results, and what schema can’t do.
Automation4 min readSpeed-to-Lead Automation: Reply in Minutes, Not HoursLeads go cold within the hour. How to automate an instant reply, qualify and book, with a person confirming before a meeting is promised.
GTM4 min readSPF, DKIM and DMARC in 2026: Gmail, Yahoo, Outlook RulesWhat Gmail, Yahoo and Outlook require in 2026: SPF, DKIM, DMARC, one-click unsubscribe, spam under 0.3%, and how to set it up in an afternoon.
Career4 min readThe AI Marketing Engineer Role in 2026: Skills and PayWhat the new AI marketing engineer role is, what live job posts ask for (agents, APIs, MCP, Claude Code), how it is measured and the pay posted today.

Introductions

By appointment. Full-time, contract or advisory.

Currently leading AI marketing at Imagera AI.Open to a select full-time role leading AI marketing or GTM engineering.Advisory and contract work by arrangement.

What would we explore?
Start a conversationRésumé (PDF)LinkedIn

Roles considered: AI Marketing Engineer · Lead · Head of Growth · AI products · GTM Engineering Lead

shaliniworks24@gmail.com · Toronto, Canada · Remote or hybrid across Canada and the US