过去一年，食谱博主普遍报告搜索与社交平台流量断崖式下降，其中个别创作者两年内损失 80% 流量与收入，Pinterest 流量占比从约 25% 跌至 11%，月浏览量由 130 万跌至 41.9 万。博主称 Google AI Overviews、Facebook 内容农场与 Pinterest 算法大量推送 AI 生成“料理泥浆”，导致真实作者的食谱被掩盖、混合、甚至被克隆。AI 汇编的食谱常出现基础错误，如将 6 英寸蛋糕建议烘烤 3–4 小时（会烤成焦炭），或显示玉米粉蒸饺平放蒸、在外壳上浇酱等不可能情境。这种误导已使部分家庭烹饪失败、浪费食材，并导致消费者信任偏向高质量图片而非可靠配方来源。

博客内容系统性被抓取、重写与重新发布，出现 AI 伪装成原创网站的现象，甚至连作者的家庭照片被 AI 畸变后用于镜像站点，难以通过版权工具下架。部分流量泄漏可量化：当 AI Overviews 覆盖鸡尾酒查询时，品牌关键词点击率下降 30%。Facebook 上的“完美食物图”特别易吸引年长用户，而教程甚至教人如何利用 AI 图片专门骗取此类用户的互动。与此同时，Gemini 3 等新模型以互动图形回答问题，进一步将博主图文混合入 AI 食谱，使其身份被弱化。

在 Google、Pinterest、Facebook 三个平台的算法变化叠加下，AI 生成内容不断挤占搜索结果、推荐流与图像空间，侵蚀真实创作者的可见度与收入来源。创作者担忧，当越多博主被迫退出后，AI 将主要训练于 AI 自身生成的内容，形成“AI 与自己对话”的闭环，使未来的家庭厨师面临更高失败率、更低质量的信息环境。

Over the past year, food bloggers report severe declines in search and social visibility, with some losing 80% of traffic and revenue in two years; Pinterest’s share of referral traffic has dropped from about 25% to 11%, and monthly views from 1.3 million to 419,000. Bloggers say Google’s AI Overviews, Facebook content farms, and Pinterest’s ranking systems now prioritize AI-generated “recipe slop,” burying, remixing, or fully cloning real recipes. AI-assembled instructions often contain fundamental errors—such as advising 3–4 hours of baking for a 6-inch cake, or depicting tamales steamed flat and sauced over their husks—causing dish failures, wasted ingredients, and misplaced trust in glossy but impossible images.

Systematic scraping and regeneration have produced AI-driven mirror sites that rewrite recipes, alter photos, and mimic creators’ identities; some even feature distorted AI versions of bloggers’ family photos. Copyright tools offer little recourse because the replicas are not identical copies. Quantified impacts include a 30% click-through drop when AI Overviews appeared over brand-specific cocktail searches. On Facebook, hyper-realistic AI food images disproportionately mislead older users, with tutorials circulating on how to target them. The rollout of Gemini 3, with interactive graphics, further blends bloggers’ content into AI outputs, diminishing attribution.

Across Google, Pinterest, and Facebook, algorithmic shifts have allowed AI-generated material to dominate search results, recommendation feeds, and image surfaces, eroding creator visibility and monetization. Bloggers fear that as more creators exit, AI systems will increasingly train on AI-made content, creating a feedback loop in which “AI talks to itself,” degrading the reliability of online recipe guidance and raising the failure rate for home cooks.