# Content Patterns in AI-Generated Text > Content-level indicators focus on WHAT AI writes, not just HOW it writes. These patterns reveal how LLMs conceptualize and present information. - Skill: `tools-only/content-patterns-in-ai-generated-text` (Agent Skill, multi-file: 3 files) - Install (CLI): `npx skillmds@latest add tools-only/content-patterns-in-ai-generated-text` - Raw SKILL.md: https://api.skillmd.com/api/skills/tools-only/content-patterns-in-ai-generated-text/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: tools-only (https://skillmd.com/u/tools-only) - Updated: 2026-09-29 - Page: https://skillmd.com/skills/tools-only/content-patterns-in-ai-generated-text --- # Content Patterns in AI-Generated Text Content-level indicators focus on WHAT AI writes, not just HOW it writes. These patterns reveal how LLMs conceptualize and present information. ## Undue Emphasis on Symbolism, Legacy, and Importance **Why this happens**: LLMs are trained on text where famous topics are described with positive, important-sounding language. This causes statistical regression to the mean - specific facts fade into generic, exaggerated descriptions. ### Signal Words and Phrases ``` stands/serves as is a testament/reminder plays a vital/significant/crucial/pivotal role underscores/highlights its importance/significance impactful, important to social cohesion reflects broader symbolizing its ongoing/enduring/lasting impact key turning point promotes collaboration indelible mark deeply rooted profound heritage revolutionary reinforces good habits healthy relationship steadfast dedication ``` ### Pattern Description AI writing often "puffs up" importance by adding statements about how arbitrary aspects represent broader topics. The subject becomes simultaneously less specific and more exaggerated. ### Examples **Original fact**: "inventor of the first train-coupling device" **AI transforms to**: "a revolutionary titan of industry" **Example from Wikipedia draft**: > "The Statistical Institute of Catalonia was officially established in 1989, **marking a pivotal moment in the evolution of regional statistics in Spain**. [...] The founding of Idescat represented a **significant shift** toward regional statistical independence..." **Another example**: > "This etymology **highlights the enduring legacy** of the community's resistance and the **transformative power of unity** in shaping its identity." Even mundane topics like etymology or population data get this treatment. ## Biology and Ecosystem Puffery When discussing plants, animals, or species, AI tends to: - Over-emphasize connections to the "broader ecosystem" - Belabor conservation status (even when unknown) - Claim importance for "research and preservation efforts" (even when none exist) ### Example > "It plays a role in the ecosystem and contributes to Hawaii's rich cultural heritage. [...] Preserving this endemic species is vital not only for ecological diversity but also for sustaining the cultural traditions connected to Hawaii's native flora." ### Red Flag Pattern If text about a species includes: 1. Generic ecosystem importance claims 2. Conservation concerns without specific IUCN data 3. Cultural significance without cited sources ...it's likely AI-generated. ## Undue Emphasis on Notability and Media Coverage ### Pattern Description AI acts as if the best way to prove notability is to hit readers over the head with claims of coverage, often: - Listing sources without context of what they said - Attributing superficial analyses to sources that don't say them - Using Wikipedia guideline language like "independent coverage" ### Signal Phrases ``` independent coverage local/regional/national/[country name] media outlets music/business/tech outlets written by a leading expert active social media presence maintains a strong digital presence ``` ### Examples > "She spoke about AI on CNN, and was featured in Vogue, Wired, Toronto Star, and other media." > "Its significance is documented in archived school event programs and regional press coverage, including the *Mesabi Daily News*, which regularly reviewed performances held there." ### "Media Coverage" Sections AI may create entire sections asserting notability with source-by-source breakdowns: ``` **Media coverage** **IRNA** – Coverage of his inter-city marathon events. **ISNA** – Report on an 80 km provincial peace run. **IFRC** – Feature on his humanitarian campaigns. ``` This format - listing sources without summarizing their content - is highly characteristic of AI. ## Superficial Analyses with Participial Phrases ### What It Is AI inserts superficial analysis by attaching present participle ("-ing") phrases at sentence ends, often with vague attributions. ### Signal Patterns ``` ensuring... reflecting... conducive/tantamount/contributing to... cultivating... (figurative) encompassing... essentially/fundamentally is... highlighting/underscoring its importance ``` ### Key Tell When the **subject of these verbs is an inanimate thing** (a fact, event, building), it's synthesis or unattributed opinion. Facts cannot "highlight" or "underscore" anything - that's a narrator's claim. ### Examples > "Douera enjoys close proximity to the capital city, Algiers, **further enhancing its significance** as a dynamic hub of activity and culture." > "These citations, spanning more than six decades and appearing in recognized academic publications, **illustrate Blois' lasting influence** in computational linguistics, grammar, and neology." ## Promotional and Advertisement-Like Language ### Neutral Tone Problems AI has serious problems maintaining neutral tone, especially for "cultural heritage" topics. ### Signal Words ``` continues to captivate groundbreaking (figurative) stunning natural beauty enduring/lasting legacy nestled in the heart of boasts a [feature] rich cultural heritage vibrant breathtaking fascinating glimpse diverse tapestry ``` ### Examples > "Nestled within the breathtaking region of Gonder in Ethiopia, Alamata Raya Kobo stands as a vibrant town with a rich cultural heritage..." ### Commercial/Business Puffery For companies and products, AI sounds like a TV commercial transcript: > "These projects align with KQ's goals of reducing its environmental footprint, improving operational efficiency, and fostering community development through job creation." > "The SOLLEI's exterior design communicates a powerful emotional presence, staying true to Cadillac's signature bold proportions..." ## "Challenges and Future Prospects" Sections ### The Formula AI often includes a "Challenges" section that follows this rigid pattern: 1. "Despite its [positive things], [subject] faces challenges..." 2. List of generic challenges 3. Positive/hopeful conclusion about future ### Signal Phrases ``` Despite its... faces several challenges... Despite these challenges Challenges and Legacy Future Outlook Future Prospects ongoing initiatives continued to thrive ``` ### Examples > "Despite its industrial and residential prosperity, Korattur faces challenges typical of urban areas, including[...] With its strategic location and ongoing initiatives, Korattur continues to thrive..." > "Despite their promising applications, pyroelectric materials face several challenges that must be addressed for broader adoption. One key limitation is[...] Despite these challenges, the versatility of pyroelectric materials positions them as critical components..." ### The Tell This is about the **rigid formula**, not simply mentioning challenges. The "despite challenges → hopeful future" arc is mechanical. ## Improper Leads for List Articles ### Pattern When an article title isn't a proper noun (e.g., a list or concept), AI introduces it as if it were a standalone entity. ### Examples > "'The Effects of Foreign language anxiety on Learning' **refers to** the feelings of tension..." > "The 'List of songs about Mexico' **is** a curated compilation of musical works..." Proper list leads integrate the title naturally, not as a defined entity. ## Vague See-Also Sections AI fills see-also sections with broad, generic topics rather than specific related articles. ### Example A see-also section on a startup article might link to "Financial technology" rather than specific companies or technologies. May link to: - Non-existent articles (red links) - Overly broad topics - Unlinked plain text ## Detection Checklist When analyzing content, check for: - [ ] Does it claim importance without specific evidence? - [ ] Are there "-ing" phrases attached to inanimate subjects? - [ ] Does it sound like promotional material? - [ ] Is there a formulaic "challenges → future" section? - [ ] Are media sources listed without summarizing their content? - [ ] Are ecosystem/conservation claims made without citations? - [ ] Does the lead treat a descriptive title as a proper noun?