Strategy · AI Marketing · August 14, 2026
How search data changes your AI content brief quality
The quality difference between a brief with search data and one without is not subtle. The output reflects the difference directly.
8 min read
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Strategy · AI Marketing · August 12, 2026
GEO strategy for marketing teams: optimizing content for AI search
Generative engine optimization is not a replacement for SEO — it is an additional layer that uses many of the same inputs and produces a different type of visibility.
7 min read
Strategy · AI Marketing · August 12, 2026
AI citability: making your marketing content more likely to appear in AI answers
AI citability is a property of content, not a ranking signal you optimize separately. It comes from specificity, authority, and structure — the same things that make content credible to human readers.
7 min read
Strategy · AI Marketing · August 11, 2026
Getting cited in AI search: what your search data reveals about AI-citable content
AI overviews and chatbot citations do not pull from high-ranking pages randomly. The signals overlap with search signals, but the pattern is different. Your GSC data points to the gap.
6 min read
Craft & Writing · AI Marketing · August 6, 2026
Turning long-form content into social posts
Repurposing long-form content to social isn't shortening it. It's finding the most specific claim the piece makes and rebuilding that for the format.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
Ghostwriting executive content with AI
Ghostwriting for executives with AI fails because the model has no voice context. What to load before the first draft — and how to run review faster.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
Running an editorial calendar when the team uses AI
AI compresses production time. An editorial calendar for an AI-assisted team looks different — more per person, same brief discipline, more attention on review.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
Managing content quality when everyone uses AI
Quality drift across an AI-assisted team is a process problem, not a personnel one. The fix is upstream — shared briefs, shared context, shared criteria.
6 min read
Craft & Writing · AI Marketing · August 6, 2026
Adapting brand voice across social channels
Brand voice stays constant across social channels. Format adapts. The teams that blur this distinction end up with inconsistent brand presence across every channel they're on.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
AI for social media content: what earns the effort
AI social content fails the same way: generated from a topic, not from a source. Here's where AI earns its place in a social content workflow.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
Building a social content calendar with AI
Social calendars built post-by-post collapse under pressure. The version that holds maps production to source material. Here's how to build it.
7 min read
Craft & Writing · AI Marketing · August 6, 2026
LinkedIn content with AI: from expertise to posts
LinkedIn content that earns engagement comes from specific expertise. AI translates that expertise into post format. The perspective has to be yours.
7 min read
Craft & Writing · AI Marketing · July 29, 2026
AI for product marketing: launch copy and messaging
Product marketing has stricter accuracy requirements and tighter hierarchy constraints than most AI content use cases. Here is how to handle both.
7 min read
Craft & Writing · AI Marketing · July 29, 2026
AI for executive thought leadership
AI can't supply the perspective, experience, or authority that makes thought leadership worth reading. Here is what it can do, and how the process works.
7 min read
Craft & Writing · AI Marketing · July 29, 2026
AI for email sequences: keeping voice consistent
AI can write individual emails. Keeping voice consistent across a sequence is a different problem. Here is the architecture that solves it.
7 min read
Strategy · AI Marketing · July 29, 2026
AI for B2B marketing when the sales cycle is 6 months long
B2B content built for a 6-month sales cycle has different requirements than self-serve or short-cycle content. Here is what changes and why.
7 min read
AI Marketing · Strategy · July 28, 2026
What Brain Scans Reveal About Brand Preference: The Neuromarketing Research
In blind taste tests, people preferred Pepsi. Knowing they were drinking Coke reversed that preference — and the reversal was visible in fMRI data. Brand identity literally changed what people experienced.
7 min read
Guides · AI Marketing · July 28, 2026
Introducing the Copper Sun AI Marketing Research Center
We built an index of primary research on AI marketing — peer-reviewed papers, published benchmarks, and independently validated industry reports — because too much guidance in this space cites no one and proves nothing.
9 min read
AI Marketing · July 28, 2026
What the Research Says About How AI Actually Uses Context
The model that wrote your last marketing draft didn't know anything about your brand — it improvised from whatever you put in front of it, and it weighted what you said based on where you put it.
6 min read
AI Marketing · July 28, 2026
The Research on Evaluating AI Content: Why Intuition Fails and What to Do Instead
Untrained reviewers distinguish AI-generated text from human text at near-random accuracy — which means the person reviewing your AI marketing drafts without a structured criteria set is not performing meaningful quality control.
7 min read
AI Marketing · Strategy · July 28, 2026
What the IPA Databank Says About Long-Term Marketing: The Binet and Field Research Explained
The largest database of proven marketing effectiveness cases — 880 national campaigns — shows that over-investment in short-term activation degrades long-term marketing efficiency. AI makes it easier to produce activation content at volume, which makes this research more relevant, not less.
7 min read
AI Marketing · July 28, 2026
Why Brand Rules Written as Instructions Outperform Brand Guides
A 1.3 billion parameter model trained to follow instructions was preferred by human raters over GPT-3 at 175 billion parameters — which means the format of your brand rules matters more than which model you use.
6 min read
AI Marketing · July 28, 2026
AI Hallucination Is Structural: What the Research Means for Brand Accuracy
The best model on TruthfulQA answered correctly on only 58% of questions — and larger models were measurably less truthful than smaller ones. Switching to a bigger model is not the fix.
7 min read
AI Marketing · July 28, 2026
What the Research Says About Consumer Trust in AI-Generated Content
In six experiments with 4,600 participants, people tried to detect AI-generated text and performed at near-random accuracy — using heuristics that were systematically wrong. The implications for brand transparency and voice discipline are specific.
7 min read
AI Marketing · Strategy · July 28, 2026
The Research Behind AI Citation: What the GEO Papers Actually Found
Adding concrete numerical data to a page raised AI source visibility by up to 40% in controlled testing across five generative engines. Here is what the GEO research actually established, and what it means for marketing content.
7 min read
AI Marketing · July 22, 2026
Why AI forgets your brand between sessions — and what to do about it
Every new AI session starts from the same generic baseline. Your brand context doesn't persist unless you build the infrastructure to carry it forward. Here's why that happens and how to fix it.
4 min read
AI Marketing · July 22, 2026
Multi-agent marketing stacks, explained
A multi-agent marketing stack is more than 'more AI.' It's a coordinated set of AI systems, each handling a defined role in a workflow, with human oversight at the handoffs that matter. Here's how to think about building one — and where the risk lives.
5 min read
AI Marketing · July 22, 2026
Context, memory, and prompts: what's the difference in AI marketing?
The three terms get used interchangeably, but they're different tools that solve different problems. Understanding the distinction changes how you diagnose AI marketing quality issues — and what you do about them.
5 min read
AI Marketing · July 10, 2026
What AI can and can't do for marketing
AI is genuinely good at some marketing tasks and not good at others. Most teams get this backwards — and the misalignment costs more time than it saves.
6 min read
Strategy · AI Marketing · July 10, 2026
SEO vs. GEO: what changes when a model reads your site
SEO and GEO share some signals but differ where it counts. Here's what actually changes when the reader is a model generating an answer instead of a human clicking a result.
8 min read
AI Marketing · July 10, 2026
Where AI helps and where you still own the work
The work that matters in marketing — strategy, creative direction, client judgment — isn't delegatable to AI. Here's where the human still has to own the output.
5 min read
AI Marketing · July 9, 2026
Using AI in marketing: what actually works
The marketing teams getting real results from AI aren't writing better prompts. They're giving the model better inputs before the session starts.
7 min read
AI Marketing · July 8, 2026
Why AI writing sounds generic (and how to fix it)
Generic AI copy is an input problem, not a model problem. What the model knows before it starts determines what it produces — and most teams start cold.
5 min read
Strategy · AI Marketing · July 8, 2026
What is generative engine optimization (GEO)
Generative engine optimization (GEO) is getting content cited by AI answer engines. The signals that drive citation differ from those that drive ranking.
8 min read
AI Marketing · Strategy · June 11, 2026
Why context beats prompts in AI marketing work
The teams getting real value from AI marketing tools aren't writing cleverer prompts — they're feeding the model better context. Here's the difference, and why it compounds.
3 min read