Research and templates from the accounts we run.

Fifty-four tools with a permanent free plan, from search reporting to email deliverability to outbound. What each one gives you, where the free plan runs out, and which four to open first.

Sales workflow automation means letting software do a repetitive sales job for you, like finding contacts or chasing trial users. The 12 below are finished automations you download for free.

A marketing automation workflow is a small piece of software that runs one check for you on a schedule and tells you what it found. It doesn't decide anything.

Claude marketing skills are folders of written instructions that Claude loads automatically when a task matches. Each holds a procedure, the reference material it needs, and optional scripts that check the output.

A marketing workflow is a set of steps you run the same way every time, with one clear trigger and one clear output. This guide lists the ones I keep going back to, grouped by the job they do.

A practical guide for marketers to understanding Claude Skills—what they contain, how they trigger, how they differ from prompts and MCPs, and how to build useful repeatable workflows.

The numbers you get asked for in a planning meeting, each one attributed, covering click loss, referral growth and how AI traffic converts.

AI Overview coverage, click-through impact and citation overlap, pulled together from several published datasets with the disagreements left visible.

A baseline for your own AI visibility numbers: which query types to run, what a normal range looks like, and which movements mean nothing.

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Ninety days of citation data across six B2B SaaS brands and six AI platforms, showing who assistants quote when they answer about your category.

An internal account of turning an agency into a growth engineering org: what got built, what broke in week one, and what the four-week deadline killed.

Aggregated numbers from B2B SaaS programs over sixty days: assistant traffic, regional ROAS spread, and the routing gaps costing spend signal every week.

A quarter of paid media written up account by account: the budget cuts that held, the tests that failed, and where Reddit and AI Max landed.

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A quarter of assistant traffic across 28 B2B SaaS companies, broken down by the page type that earned the session and the page type that converted it.

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973 classified results from 100 category searches, showing how little of page one a vendor can own and where the rest of it goes.

What the crawl logs say about how GPTBot and ClaudeBot fetch a site, and which of your pages they never see.

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A citation study across 1,000 B2B SaaS keywords: what gets pulled into an AI Overview, and where on the page the pulled passage sits.

The fields a brief needs before a writer or a model can use it, with variants for blog, comparison and product pages.

The audit steps in order, with a prioritization grid and a step most 2024-era checklists do not have.

Architecture blueprints for automated content work, with refresh automation named as the highest-return use case most teams skip.

An argument about what to keep human, built on a scan finding only about a quarter of pages purely human-written.

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A category-by-category count showing the split is no longer human against AI, but fully AI against edited AI.

How to tell an algorithm drop from an AI Overview drop before you change anything, then the five-step repair that follows.

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The CPC and desktop-share case for running both, plus the spend threshold below which a second platform costs more than it returns.

A reporting pipeline over Search Console, GA4 and AI citation data, with the interpretation layer kept human on purpose.

Why per-post linking cannot repair an archive, and where the high-impact linking opportunities sit instead.

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Why single-prompt drafts read fluent and never get published, with fact-check pass rates for a chain against one prompt.

Five prompts that turn a Screaming Frog export into template-level findings, plus the three checks a crawler cannot close alone.

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The split we run in production: Claude takes the mechanical 80% of clustering and intent, an analyst keeps the three judgment calls.

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Our own account of turning repeat marketing work into reusable skills, including the scoring matrix for deciding what deserves one.

Templates for the formats AI answers pull from, from definition openers to comparison tables, with the mistakes that keep a page uncited.

Seven steps with owners attached, including a retrofit path for the pages you already published and cannot afford to rewrite.

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The measurement side of AI search: which seven numbers to report, how to collect each one, and what counts as a decent starting figure.

A page-type controlled look at what assistants send traffic to, where editorial pages skew 71% toward purely AI-written content.

Search Console data across 16 B2B tech verticals, putting weighted click-through at position one an order of magnitude below the old benchmarks.

8,989 brand mentions across 253 brands, showing that winning an awareness query predicts almost nothing about winning a comparison query.

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A controlled run across 40 software categories, showing what share of AI Overview citations come from outside the organic top 10.