Why Genai Search is just as bad for shoppers as for marketers | Farmer

Genai search products such as AI overview are just as bad for buyers as for marketers. Where traditional searches ever yielded pages of possible suppliers, the new tools that collapse into a single answer that is declared ‘the best’ for unknown. It looks authoritative, but hides much more than it reveals – sellers invisible and buyers not – inspired.

One of the many problems with Genai search is that it gives a finger The invisible hand of the market – The “best” choice is chosen by algorithm, not by competition. The algorithm selects what a mathematical formula finds the most useful ‘for the user, with the exception of many options such as good or better than the’ best ‘of the AI.

I discovered this search for a certain type of first aid kit. I am busy becoming a certified EMT – not changing careers, just wanting to be prepared for emergency situations. That means it has the right equipment, in this case an individual first aid kit (ifak), which is for trauma, not for first aid. The kits include a tourniquet for severe limb bleeding, hemostatic agents and mesh for wound packing, a breast seal for open chest wounds and other things that I hope I never need.

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North American salvation is the Golden Standard consensus in this space. But many other companies also make solid kits, and I wanted to know my options. So I asked my subscription version of Google Gemini: “Which American companies offer kits that are comparable to North American Ready’s Ready Every Day (Red) Personal Kit?”

How the bots did

I have carried out the same question for multiple Genai tools. The results were less like “search” and more on roulette:

• Gemini (paid): First gave four companies plus three “useful” suggestions about what an IFAIK should contain; A second question is produced; A third returned 14; Asking for a complete list in a table left it back to eight.
• Chatgpt for: Started with five products; When pushed for more, he returned five different, including a standard Home First-AID kit; A third attempt was mentioned, some are larger team packages that were not comparable.
• Perpexity (free): Started with five, with the exception of everything that is labeled ‘tactically’ for some reason; Five more added to the second attempt; A “complete list” request only had seven of those 10.
• Claude (free): First answer had three kits plus a list of competitors; Second answer repeated the same three in more detail; The third answer jumped with less detail to 10.
• Deepseek (free): Went 2 → 11 → 19 over three questions.
• Qwen (free): Initially the Nar Red Kit denied; After correction, six returned and then 25 kits.

In these tests I collected 71 different “comparable” kits, 54 appeared only once and only 17 published more than once. Eight manufacturers had kits on three or more lists. Congratulations to Tacmed Solutions, the only company with Kits mentioned by all five Genai Search Bots.

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That is really very bad. All these services must warn users of the quality of the search results. Put it right next to the warning that the AI ​​will sometimes lie against you.

Regular searching is not much better

Unfortunately, the results of ordinary old search engines are not much better. On my search for kits comparable to the Nar Red Kit, the first page of Google 11 had unpaid links, only five relevant. Duckduckgo showed 13 unpaid links, six relevant. Bing had six unpaid links, three relevant – the best hit -ratio, but buried in advertisements.

Marketers struggle with the search for Genai to choose their brand over everyone else is a symptom of a much bigger problem. Google’s monopoly when searching for search killed innovation. Search now focuses more on being an advertising platform (a different Google Monopoly) than delivering good results. So far there is no indication that Genai tries to improve that.

Links to videos and Reddit forums are popular and sometimes useful. However, they are there because of an algorithm setting, not because the user asked for it. AIS priority gives the provision of answers that are first useful, harmless second and accurate third party. The answers to my questions failed because the AI ​​defines useful as the lowest common denominator.

A comment for the people who make Genai search engines: we do not want the mathematically common data to be presented under the guise of helpfulness. We want the answer to our question.

PS, I bought the Nar -kit because of the quality – and because they had a great sale.

How to get better search results from LLMS

You can get better results from AIS. Here are ways to find out what Chatgpt and Gemini exclude. For other AIs, all that is needed is to ask them how they can discover what is left out and why.

Chatgpt: Save a reusable instruction so that it is transparent when lists are shortened.

1. Type this: “Save this as a reusable promptly called Data -Transparency. “
2. Then commit: “Op de vraag om lijsten, gegevens of voorbeelden, verkorten of filteer de uitvoer niet stil of filtert u niet. Als u slechts een deel van de gegevens verstrekt, vermeldt u expliciet dat de lijst onvolledig is en legt u uit waarom u deze hebt beperkt (bijv. Te veel totale items, ruimtebeperkingen, duplication of relevantie). Altijd de geschatte schaal van de volledige set (duizenden, duizenden, duizenden, duizenden, Thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, thousands, most criteria, most of the citraia (recently, the most relevant). to the user ”
3. Type before a request where you want to apply this: “Use of data parcel. “

Google Gemini: You cannot save prompts permanently, but you can print on it to explain how it chose results by using it promptly:

“Regarding the results provided in your last answer, detailed the following three criteria that have defined the search range, and explain how each possible companies or data points have excluded:

1. Temporary scope: What was the start and end dating range for the data considered?
2. Inclusion/exclusion criteria: What were the Minimum requirements (eg size, income, activity level or primary business focus) Used to record an entity, and what common types of entities would this be specifically excluded?
3. Source/geographical limitations: Which specific databases, regions or publicly available information sources were used and what are the known prejudices or limitations of those sources? “