Write the email in your brand's voice, then build the workflow that gets it to the right customer. Learn AI marketing from producing one useful asset to connecting content, campaigns and measurement across your tools. The course starts with audience research, prompts, brand examples and editing, using recognizable work such as landing pages, ad copy, emails and social posts. Those foundations carry into SEO, visibility in AI search, CRM, email and lifecycle marketing, paid advertising and analytics. Build toward no-code and low-code automation, reusable content processes and agents that handle several campaign steps. The emphasis stays on judging the work: whether a claim is supported, the voice fits, the audience is right and the result justifies the cost. Examples explain the prompts, settings and checks behind a marketing task, alongside mistakes such as invented statistics and over-automated email. Relevant news and practical shortcuts add context as platforms change. For in-house marketers, freelancers, agency operators and founders doing their own marketing, no programming experience is assumed. This show's audio is narrated by AI-generated synthetic voices.
Ledgerlane tests search with one article on why a first Self Assessment bill is bigger than expected, covering topic research, fact-checked drafting, indexing checks and a dated baseline. It also looks at tracking visibility in AI answers and Search Console's new generative AI report. This episode is narrated by AI-generated synthetic voices.
26 Oct 2026
8. Following One Lead From Link to Inbox
Ledgerlane gains measurement: a definition of a qualified lead, UTM-tagged links captured in Tally hidden fields, and analytics set up within the UK's 2026 consent rules. A test lead reveals that the labels were lost, and embedding the form fixes it. The chapter closes by weighing three ways to move Tally records into a future CRM. This episode is narrated by AI-generated synthetic voices.
19 Oct 2026
7. The Booking Form Behind the Button
The offer page's booking button gets a destination: a six-field Tally form, a confirmation and a first follow-up email, with every line traced to a source and invented promises replaced by placeholders for the founder. The form is then checked for phones, keyboards and screen readers, and weighed against native CRM forms. This episode is narrated by AI-generated synthetic voices.
12 Oct 2026
6. An Offer Page That Answers the Penalty Letter
Ledgerlane's offer page gets built section by section: the order of the promise, one evidenced objection and two labelled hypotheses, and a draft from the assistant with three sourcing faults fixed. The page is checked at phone width, and the saved reply instruction is tested in a fresh chat. This episode is narrated by AI-generated synthetic voices.
5 Oct 2026
5. Adapting a Defended Message to One Contractor's Situation
A trade contractor's HMRC penalty letter becomes the test case for adapting a defended marketing message to one customer without adding promises, guesses or unsupported VAT claims. It ends with how a Claude Projects change spreads saved instructions across parallel threads. This episode is narrated by AI-generated synthetic voices.
28 Sept 2026
4. The Brand Guide Built From Passed and Rejected Drafts
Ledgerlane's facts sheet becomes a dated, owned register, and its brand guide is rebuilt from accepted and rejected examples. Both are tested on a fresh FAQ answer that slips in an unsupported VAT claim. The chapter closes with how Custom GPT retirement and Gemini file-reading failures affect keeping reference files current. This episode is narrated by AI-generated synthetic voices.
21 Sept 2026
3. Writing a Positioning Claim You Can Trace Back to a Line
Ledgerlane's accurate hero copy speaks to nobody, so this chapter makes the audience decision out loud and turns it into a six-part brief with evidence line numbers behind every element. It covers picking a well-supported trigger situation over a thin one, naming the real competitive alternatives, splitting proof from inference, and the three citation faults found in the first draft — then how to reuse approved copy across channels without altering a single claim. This episode is narrated by AI-generated synthetic voices.
14 Sept 2026
2. What Customers Actually Said, and What You Assumed
A landing-page draft built from traceable facts still doesn't tell you if it sounds like a real contractor, so the chapter builds a sourced file of verbatim customer language, separates observation from inference, and sets up a reusable brand brief so an AI assistant stops inventing personas and starts citing evidence. This episode is narrated by AI-generated synthetic voices.
10 Sept 2026
1. The Source Packet That Makes a Draft Publishable
A walkthrough of fixing AI-generated marketing copy for a small bookkeeping business by building a short packet of real facts, audience details, a stated goal, and a genuine tone sample, then loading it into a project and inspecting the resulting draft claim by claim before publishing it, followed by a short note on a recent change to how Claude's memory works. This episode is narrated by AI-generated synthetic voices.
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