{"version":1,"type":"story","url":"https://digestai.news/story/answershare-shows-marketers-can-improve-ai-brand-recommendations-with","json":"https://digestai.news/story/answershare-shows-marketers-can-improve-ai-brand-recommendations-with.json","markdown":"https://digestai.news/story/answershare-shows-marketers-can-improve-ai-brand-recommendations-with.md","slug":"answershare-shows-marketers-can-improve-ai-brand-recommendations-with","headline":"AnswerShare shows marketers can improve AI brand recommendations with edge workers","summary":"Marketers seeking better AI‑driven visibility can supply a brand’s full story to large language models via a CDN edge worker, according to a sponsored post by AnswerShare. In a test with one client, the AI initially warned users away, citing five negative reviews and two BBB complaints despite more than 75 positive reviews. After publishing a llms‑full.txt file containing the company’s operating scale, history and responses, the AI’s recommendations rose to 40 of 40 within three days and reached 100 % after 14 days.\n\nThe experiment logged 154 crawls of the llms files over two months, while the worker was crawled 744,566 times, suggesting repeated exposure helped the models weigh the denominator alongside the complaints. The post cites OpenAI’s caution policy, Anthropic’s Constitution, and Google’s Gemini app policy as drivers of over‑correction, and argues that presenting complete context lets the AI retain judgment while delivering balanced answers. The author notes that GPT and Gemini quoted the supplied phrasing verbatim, indicating the edge worker directly informed model outputs.","keyPoints":["Providing full brand context via edge workers shifted AI from warning away to recommending the brand in tests","In three days AI recommendations rose to 40 of 40; after 14 days they reached 100 % for the client","The client’s llms‑full.txt files were crawled 154 times while the worker was crawled 744,566 times, driving the change"],"whyItMatters":"Marketers can influence AI‑generated search answers by supplying complete brand context, protecting visibility and steering recommendation bias toward their business.","category":{"slug":"marketing","name":"Marketing & Small Business","url":"https://digestai.news/category/marketing"},"entities":{"companies":["AnswerShare","OpenAI","Anthropic","Google"],"models":["GPT","Gemini","Claude"],"people":["Paul Harvey","Atharv Naphade"]},"firstPublishedAt":"2026-09-29T20:40:41Z","updatedAt":"2026-09-29T20:40:41Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Search Engine Journal","title":"Yes, You Can Change AI’s Opinion. Here’s How.","url":"https://searchenginejournal.com/ai-crawlers-machine-layer-answershare-spa/590837","publishedAt":"2026-09-29T20:40:41Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"AnswerShare shows marketers can improve AI brand recommendations with edge workers\", 29 September 2026, https://digestai.news/story/answershare-shows-marketers-can-improve-ai-brand-recommendations-with","publisher":"Digest AI","title":"AnswerShare shows marketers can improve AI brand recommendations with edge workers","datePublished":"2026-09-29T20:40:41Z","url":"https://digestai.news/story/answershare-shows-marketers-can-improve-ai-brand-recommendations-with"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}