當(dāng)你問(wèn)AI一個(gè)品牌怎么樣時(shí),AI有可能會(huì)給這個(gè)品牌打出差評(píng)。這對(duì)終端消費(fèi)者而言當(dāng)然是好事,但是對(duì)企業(yè)來(lái)說(shuō)則是一個(gè)值得警惕的問(wèn)題。
搜索引擎優(yōu)化公司BrightEdge近期開(kāi)展了一項(xiàng)研究,它對(duì)服裝、電子、教育三大行業(yè)的幾億段AI提示詞進(jìn)行了研究,結(jié)果發(fā)現(xiàn),谷歌的AI Overviews搜索功能對(duì)某一品牌生成負(fù)面評(píng)價(jià)的概率比OpenAI的ChatGPT高出44%。不過(guò)如果消費(fèi)者讓ChatGPT在某兩款產(chǎn)品中進(jìn)行選擇時(shí),情況則會(huì)反轉(zhuǎn)——ChatGPT生成的負(fù)面評(píng)價(jià)反而更多。
在該研究中,無(wú)論是谷歌的AI Overviews還是ChatGPT,它們生成的絕大多數(shù)的品牌評(píng)價(jià)均為正面或中立,差評(píng)都是少數(shù),分別只有2.3%和1.6%。
BrightEdge公司的首席執(zhí)行官吉姆·于對(duì)《財(cái)富》雜志表示,別看這兩個(gè)數(shù)字不大,可一旦放大到數(shù)億次的搜索結(jié)果中,就會(huì)形成海量負(fù)面信息,直接影響品牌在潛在消費(fèi)者心中的形象。根據(jù)研究數(shù)據(jù)推算,用戶每進(jìn)行100萬(wàn)次搜索,就會(huì)有約2.3萬(wàn)次生成負(fù)面評(píng)價(jià)。
吉姆·于指出,谷歌的信息抓取機(jī)制有時(shí)會(huì)把網(wǎng)上跟產(chǎn)品有關(guān)的負(fù)面信息一并抓取,但這些負(fù)面信息有的可能是幾年前的。當(dāng)然,是否會(huì)生成負(fù)面結(jié)果,很大程度上取決于用戶的搜索關(guān)鍵詞是什么,以及網(wǎng)絡(luò)上關(guān)于該企業(yè)的現(xiàn)有信息。
“以前這些負(fù)面信息可能會(huì)被海量信息淹沒(méi),但它們現(xiàn)在卻被AI放到了顯眼的位置,用戶一搜索這個(gè)品牌就能夠看到。”他說(shuō),“這對(duì)企業(yè)而言,是一個(gè)重大的改變。”
谷歌的一位發(fā)言人則告訴《財(cái)富》雜志,這份報(bào)告研究方法存在缺陷,結(jié)論存在博眼球的嫌疑。谷歌自己也進(jìn)行過(guò)類似統(tǒng)計(jì),結(jié)果顯示,谷歌的AI Overviews與ChatGPT生成差評(píng)的幾率相差只有1%左右,幾乎可以忽略不計(jì)。
該發(fā)言人在一份聲明中強(qiáng)調(diào):“這份報(bào)告還誤解了谷歌的AI Overviews的工作邏輯,它生成的內(nèi)容完全取決于現(xiàn)有的網(wǎng)絡(luò)公開(kāi)信息,而且會(huì)隨用戶搜索的內(nèi)容而變化。”
OpenAI則并未立即回應(yīng)我們的置評(píng)請(qǐng)求。
AI營(yíng)銷內(nèi)容審核公司Markup AI的首席執(zhí)行官馬特?布隆伯格在接受《財(cái)富》雜志采訪時(shí)指出,企業(yè)要想讓AI盡量少生成跟自己有關(guān)的負(fù)面信息,就必須高度重視顧客在網(wǎng)上打出的幾乎每一條差評(píng)。
“我認(rèn)為現(xiàn)在這一點(diǎn)變得更重要了,因?yàn)檫@些差評(píng)會(huì)被AI抓取,還會(huì)通過(guò)不同的AI以不同的形式放大。”
吉姆·于表示,該研究清楚地表是有,AI向人展示信息的方式已經(jīng)發(fā)生了變化。消費(fèi)者可以借助AI對(duì)品牌進(jìn)行更深入的研究,同時(shí)也能更清晰、更客觀地了解一款產(chǎn)品的優(yōu)劣。
但對(duì)企業(yè)而言,AI搜索功能的進(jìn)化,也意味著企業(yè)必須迎合AI的抓取偏好來(lái)發(fā)布新的內(nèi)容,同時(shí)相應(yīng)地調(diào)整內(nèi)容投放策略。
“這是一個(gè)全新的趨勢(shì),企業(yè)必須認(rèn)真對(duì)待。”吉姆·于補(bǔ)充道。(財(cái)富中文網(wǎng))
譯者:樸成奎
當(dāng)你問(wèn)AI一個(gè)品牌怎么樣時(shí),AI有可能會(huì)給這個(gè)品牌打出差評(píng)。這對(duì)終端消費(fèi)者而言當(dāng)然是好事,但是對(duì)企業(yè)來(lái)說(shuō)則是一個(gè)值得警惕的問(wèn)題。
搜索引擎優(yōu)化公司BrightEdge近期開(kāi)展了一項(xiàng)研究,它對(duì)服裝、電子、教育三大行業(yè)的幾億段AI提示詞進(jìn)行了研究,結(jié)果發(fā)現(xiàn),谷歌的AI Overviews搜索功能對(duì)某一品牌生成負(fù)面評(píng)價(jià)的概率比OpenAI的ChatGPT高出44%。不過(guò)如果消費(fèi)者讓ChatGPT在某兩款產(chǎn)品中進(jìn)行選擇時(shí),情況則會(huì)反轉(zhuǎn)——ChatGPT生成的負(fù)面評(píng)價(jià)反而更多。
在該研究中,無(wú)論是谷歌的AI Overviews還是ChatGPT,它們生成的絕大多數(shù)的品牌評(píng)價(jià)均為正面或中立,差評(píng)都是少數(shù),分別只有2.3%和1.6%。
BrightEdge公司的首席執(zhí)行官吉姆·于對(duì)《財(cái)富》雜志表示,別看這兩個(gè)數(shù)字不大,可一旦放大到數(shù)億次的搜索結(jié)果中,就會(huì)形成海量負(fù)面信息,直接影響品牌在潛在消費(fèi)者心中的形象。根據(jù)研究數(shù)據(jù)推算,用戶每進(jìn)行100萬(wàn)次搜索,就會(huì)有約2.3萬(wàn)次生成負(fù)面評(píng)價(jià)。
吉姆·于指出,谷歌的信息抓取機(jī)制有時(shí)會(huì)把網(wǎng)上跟產(chǎn)品有關(guān)的負(fù)面信息一并抓取,但這些負(fù)面信息有的可能是幾年前的。當(dāng)然,是否會(huì)生成負(fù)面結(jié)果,很大程度上取決于用戶的搜索關(guān)鍵詞是什么,以及網(wǎng)絡(luò)上關(guān)于該企業(yè)的現(xiàn)有信息。
“以前這些負(fù)面信息可能會(huì)被海量信息淹沒(méi),但它們現(xiàn)在卻被AI放到了顯眼的位置,用戶一搜索這個(gè)品牌就能夠看到。”他說(shuō),“這對(duì)企業(yè)而言,是一個(gè)重大的改變。”
谷歌的一位發(fā)言人則告訴《財(cái)富》雜志,這份報(bào)告研究方法存在缺陷,結(jié)論存在博眼球的嫌疑。谷歌自己也進(jìn)行過(guò)類似統(tǒng)計(jì),結(jié)果顯示,谷歌的AI Overviews與ChatGPT生成差評(píng)的幾率相差只有1%左右,幾乎可以忽略不計(jì)。
該發(fā)言人在一份聲明中強(qiáng)調(diào):“這份報(bào)告還誤解了谷歌的AI Overviews的工作邏輯,它生成的內(nèi)容完全取決于現(xiàn)有的網(wǎng)絡(luò)公開(kāi)信息,而且會(huì)隨用戶搜索的內(nèi)容而變化。”
OpenAI則并未立即回應(yīng)我們的置評(píng)請(qǐng)求。
AI營(yíng)銷內(nèi)容審核公司Markup AI的首席執(zhí)行官馬特?布隆伯格在接受《財(cái)富》雜志采訪時(shí)指出,企業(yè)要想讓AI盡量少生成跟自己有關(guān)的負(fù)面信息,就必須高度重視顧客在網(wǎng)上打出的幾乎每一條差評(píng)。
“我認(rèn)為現(xiàn)在這一點(diǎn)變得更重要了,因?yàn)檫@些差評(píng)會(huì)被AI抓取,還會(huì)通過(guò)不同的AI以不同的形式放大。”
吉姆·于表示,該研究清楚地表是有,AI向人展示信息的方式已經(jīng)發(fā)生了變化。消費(fèi)者可以借助AI對(duì)品牌進(jìn)行更深入的研究,同時(shí)也能更清晰、更客觀地了解一款產(chǎn)品的優(yōu)劣。
但對(duì)企業(yè)而言,AI搜索功能的進(jìn)化,也意味著企業(yè)必須迎合AI的抓取偏好來(lái)發(fā)布新的內(nèi)容,同時(shí)相應(yīng)地調(diào)整內(nèi)容投放策略。
“這是一個(gè)全新的趨勢(shì),企業(yè)必須認(rèn)真對(duì)待。”吉姆·于補(bǔ)充道。(財(cái)富中文網(wǎng))
譯者:樸成奎
AI chatbots and search engines are sometimes negative about brands, and the end result—while arguably good for the end consumer—is a wake-up call for companies.
A study of hundreds of millions of prompts across three industries (apparel, electronics, and education) conducted by search engine optimization company BrightEdge found Google’s AI Overviews was 44% more likely to display negative information about a brand than OpenAI’s ChatGPT. Still, when consumers prompted ChatGPT to decide between the two products, the roles flipped, with ChatGPT being more negative.
While the overwhelming majority of responses analyzed in the study were either positive or neutral, a small percentage of responses were negative for both Google AI Overviews and ChatGPT, 2.3% and 1.6%, respectively.
BrightEdge CEO Jim Yu told Fortune while these percentages may seem small, multiplied across hundreds of millions of results, they can still equate to loads of negative queries, which can affect a company’s image in the eyes of potential consumers. For every million queries, an estimated 23,000 would yield a negative response by AI Overviews, based on the data from the study.
Google, in particular, Yu said, is pulling out negative information associated with products that can sometimes be years old because of the way it pulls information from the internet. These searches, though, depend heavily on what people search for and what is publicly available about a company.
“Instead of it being on the back pages that’s way further down, now it’s pulling it into the front page, as people are looking for things about your brand,” he said. “That’s a huge change for businesses.”
A spokesperson for Google told Fortune the report used a flawed methodology to make sensational claims and found a negligible difference of 1% between AI Overviews and ChatGPT in terms of negative responses.
“It also misunderstands how AI Overviews work: They’re based on what sources on the web say about a topic and change depending on what someone is searching for,” said the spokesperson in a statement.
OpenAI did not immediately respond to a request for comment.
To mitigate the negative information being brought to the forefront of AI, companies need to make it a priority to respond to nearly every negative review published by people online, Matt Blumberg, the CEO of Markup AI, a tech company that uses AI to review marketing content, told Fortune.
“I do think it’s more important than ever, because those things are getting picked up more, and they’re getting picked up in different ways by different AI applications,” Blumberg said.
The study shows a clear shift in how AI presents information to people. Consumers are using AI to become better researchers and to get a clearer and arguably more objective picture of the positives and negatives of any product, Yu said.
For companies, this new reality of search means companies need to be pushing out fresh content to cater to AI’s preference for newer content, while also being strategic about where they place it.
“It’s a new dynamic that they do have to really think about,” Yu added.