"Appearing prominently in AI search engine answers is becoming critical for marketers, so posting content on LinkedIn can seem to many like time well-spent. But a dive into generative AI's authority frameworks - the technical mechanisms and conceptual approaches that large language models (LLMs) use to determine the credibility of information and sources - suggests all that posting effort is more of a placebo for visibility-hungry marketers."
"Kiplinger's Adviser Intel, formerly known as Building Wealth, is a curated network of trusted financial professionals who share expert insights on wealth building and preservation. Contributors, including fiduciary financial planners, wealth managers, CEOs and attorneys, provide actionable advice about retirement planning, estate planning, tax strategies and more. Experts are invited to contribute and do not pay to be included, so you can trust their advice is honest and valuable."
Generative AI authority frameworks determine credibility using technical mechanisms and conceptual approaches, and they do not elevate sources solely by posting volume. LinkedIn's user growth and engagement have attracted professionals and spawned low-cost services that generate platform content. Many firms offer outsourced LinkedIn-post creation, while tools like Hootsuite and Grammarly produce AI-generated posts. Kiplinger's Adviser Intel exemplifies curated expert networks with invited, unpaid contributors offering actionable financial advice. Evidence, including ChatGPT output, shows LinkedIn posts lack enough authority weight to land companies or experts in large language model answers. Perceptions that frequent posting will increase AI search visibility are misleading.
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