Artificial Intelligence (AI) & Digital Marketing Since 2009
A fluent explanation is not a record, and regulated AI decisions need a record.
This article argues that AI compliance starts with accountability, with policy graphs and solvers as one route to a traversable trail. It reports what GraphCompliance, solver-backed legal analysis, and two recent preprints find, maps the GDPR, EU AI Act, and Regulation B duties, and sets out the two human checkpoints that turn a trail into AI Governance.
HubSpot reported a 43% lift in AI chat conversion, and a small business still needs its own numbers.
This 30-day Factics playbook is written for owners with one to five people. It reports what HubSpot and independent research found, what EU, California, Colorado, and Utah rules say about chatbot disclosure, and what the research says disclosure costs. The plan ends in a documented decision, and not deploying is one of the valid outcomes.
One hero ad is not enough to prove a creative strategy.
Meta’s ad system is built for growing creative supply, but small budgets still limit what can be tested responsibly. This article shows why distinct concepts matter more than raw file count, how the learning phase constrains cadence, and how Factics turns each test into an evidence decision.
Google’s own Search guidance undercuts several paid GEO tactics.
Google says foundational SEO and unique, non-commodity content still matter for AI Overviews and AI Mode, while llms.txt, forced chunking, AI-specific rewrites, inauthentic mentions, and special schema are unnecessary for Google Search. The article separates Google-specific guidance from broader GEO research and shows what Search Console can actually measure.
Federal SI branding meets statutory AI. The September 29 Executive Order remaps executive-branch vocabulary to Super Intelligence without rewriting statute, and the collision with technical superintelligence is the governance risk operators must manage.
Good posts still go unread, and HAIA-SMART Copy shows the author why.
HAIA-SMART Copy is a free prompt that scores social media copy across six pillars for 30 points, revises it, and holds all output until the author approves. It then writes native text for eight platforms, and the full tool runs in the post with a PDF and a .md file.
Most content review checks the wrapper. Content Optimization Reader Evaluation checks the argument, the evidence, and whether anyone directed the prose.
A rubric that scores an article on substance is only useful if it stops when something is wrong. CORE scores six pillars, holds the run when a pillar fails or a source does not support its claim, and hands the decision to a person. The full prompt is included.
The author ran Pope Leo XIV’s AI encyclical through an AI scanner, found it flagged as plagiarized and AI-generated, then proved both readings wrong through governed human analysis. A first-person account of frustration, recognition, dissent, and hope from a builder who discovered the Pope had reached the same diagnosis from a different authority.
The peer-reviewed evidence base does not yet support the cognitive-decline claim, and it does not yet support the opposite claim either. Two scientific questions remain open: whether structured human-governed AI use accelerates cognitive development, and what augmented intelligence is in practice. This methodological audit specifies the standards the field would have to meet, scores the existing evidence against those standards, and offers HAIA-RECCLIN Reasoning, HEQ with AIS, and a five-arm randomized controlled trial design as testable counter-proposals.
In 2009, a blog post about social media. Today, over twenty white papers, three published books with two more pending, and the operating architecture for human-AI collaboration that the industry is still figuring out how to build. This past week, after publishing post 1001, I noticed basilpuglisi.com had crossed one thousand published articles. A thousand […]
