How AI Is Changing the Way Food Writers Research and Tell Stories

Food blogging, whether it is a recipe, a restaurant review, or an exquisite culinary experience, must be authentic enough to make the readers either feel the experience or lure them to try the recipe or food, which Nigella’s blogs do.  

But now, with AI assistance in food blogging and reviews, there is a subtle lack of this first-hand experience, isn’t it?

Food writers are using AI to search for diverse types of cuisines from different countries and cultures to create a food blog, which apparently seems interesting, and sometimes it works as well. 

But they also lack the originality as both AI and the writer have not tested the food or experienced the cuisin like Nigella does.  

Adding to that, the prevalent AI writing pattern makes the blog even more unrealistic and hard for readers to relate to. 

AI has brought both positive and underwhelming changes in the way food bloggers write and narrate stories these days. 

While AI has opened a vast scope of research, it has started a trend of delivering automated recipes, which are not even viable sometimes. 

You can use an AI checker to see whether the recipe you are following was written by a human who has actually tested the food. 

But you need to understand the major shifts in the food writing industry if you want to start your career here as a writer or are simply looking for a recipe. 

So, here are the most common changes happening in food writing because of AI. 

Conducting the research and doing background work is perhaps the most positive impact of AI for food writers. 

AI can accumulate a wide array of information and facts about different historical and cultural food habits and recipes. So, they can research and study them via AI and make their writing more intriguing to readers by using them.   

For example, while writing about different rice recipes in the Indo-Asian region, a writer can read about Mexican or Middle Eastern rice recipes, sitting in a living room in India, and compare them in their blog. 

Or someone may write about the myths about how garlic was used to have protection from evil forces in Eastern Europe. And add other historical stories about garlic in different cultures without even travelling to those places through AI assistance. 

So, this is a tremendously positive and quite an interesting change in AI assistance for food writers.   

Another very important and beneficial practice of AI for culinary and eatery content writers is researching ongoing trends, hypes and interests among people about different types of cuisines and food habits, and finding topics that will interest their readers.

With AI and LLMs, they can go through the exact analytics about common people’s thought processes surrounding different food items or customer behaviours about a certain restaurant or a fusion cuisine. 

They can use these insights and write their blogs blended with their own experience and subjective opinions. This way, their blog will be more helpful for the readers, enriched with deeper analysis. 

For example, many people are currently opting for healthy food habits for fitness. And eating fibre or vegan food is one of the ongoing trends as a healthy eating habit.    

So, you can go research what people actually want to know and what their general queries are surrounding fibre and vegan food options. 

Not only that, you can get help from AI with in-depth writing as well if you are writing about how to make a healthy and yummy dish with fibre or vegan options. 

You can easily find different options and recipes with grains, beans, and veggies through multiple regions in AI research or writing tools, and incorporate them in your article.   

So, AI can be helpful in multiple ways when it comes to analyzing current trends and SEO analytics about eateries.  

While talking about the beneficial uses of AI for writing about food and eateries, it is also important to keep in mind that AI cannot taste, smell, or experience a food, an ingredient, or a cuisine.

So, sometimes AI can provide false or fabricated information and claims about a certain food and dish.

Mostly, it happens when it comes to writing recipes with AI. LLMs and chatbots often give recipes with improper ingredient amounts and unrealistic combinations or fusion of food elements.

Remember how Rachel, in the popular television show FRIENDS, mixed up two totally different recipes and made an English trifle with beef and fried peas and onions? AI may sometimes provide made-up recipes similar to that, blending recipes from two different sources. 

So, this is one of the most underwhelming changes that AI caused in the food blogging industry. Be aware of AI recipes while you are trying to write about a new dish in a food article. 

For the same reason why AI may not provide feasible and realistic recipes, it also may not give appropriate or honest reviews of different dishes from certain restaurants.  

If you try an AI writing tool for writing a review, it tends to give biased reviews according to your prompts, or it tries to read your thought process behind your query and create a generic review.

At most, LLMs or chatbots will go through other reviews of a dish or restaurant and write something compiling them, as they cannot eat the food and experience the ambiance.

What is worse is that some restaurants are currently generating positive reviews with AI to promote themselves, which are mostly exaggerated. And they are also in high numbers, which mislead readers and food enthusiasts and make them end up with a mediocre experience. 

So, this is disappointing but a common transformation nowadays caused by AI intervention in writing food and culinary articles.  

After all, a good change for food writers is that AI has brought visual storytelling. 

Food writers can now create visuals related to their topic or a food through AI image or video generators and attach them to their blog to enhance the impact of the writing and engagement with the viewers and audiences. 

For example, they are now generating videos of making cheese or wine fermenting in ancient times that quite look like cooking in Medieval periods or Victorian ages.

These types of videos create interest among the viewers and audiences in reading the whole writing, which is advantageous for the food writers.  

Evidently, using AI in food blog writing has both impressive and disappointing effects on food writers, their readers, and culinary enthusiasts. 

But considering the positive aspects and changes, we can conclude that AI has quite good potential in food content creation. 

If there is proper and strict human intervention, the AI outcomes can be very effective in writing more compelling food content, creating a stronger impact on the readers. 

So, if you are a food writer, do get help from AI tools. But ensure enough fact-checking, quality assurance, and human reviews before publishing.