We fact-checked what AI says about Factor against the Reddit threads it cites
Most GEO tools count how often AI mentions you. We wanted to know something else: when AI repeats what Reddit says about a brand, is it right?
Ask an AI assistant whether a product is any good and you get a confident paragraph of pros and cons. Most GEO (generative engine optimisation) tools stop at counting how often your brand appears in those paragraphs. We wanted to check the paragraphs themselves: where the claims come from, and whether the sources actually say that.
We picked one brand, Factor, the US prepared-meal subscription, because we had already studied meal kit discussions closely. We asked three assistants the same eight questions, collected every source they cited, and read every Reddit thread among them in full.
How we tested
On 11 October 2026 we asked ChatGPT (with search), Google AI Mode and Perplexity eight questions a buyer might ask:
- What’s the best prepared meal delivery service?
- Is Factor worth it?
- Factor vs CookUnity, which is better?
- Best meal delivery for one person living alone?
- Factor meals reviews — what do people complain about?
- Healthiest prepared meal delivery for weight loss?
- Cheapest meal delivery service that actually tastes good?
- Factor alternatives?
We saved each answer with its citations, then exported every cited Reddit thread with all of its comments and read them.
Finding 1: Reddit shows up where it hurts
| Assistant | Reddit threads cited | Where they appeared | Main other sources |
|---|---|---|---|
| Perplexity | 0 of 40 sources | — | Review and comparison sites, health publishers, Trustpilot |
| Google AI Mode | 2 of 34 sources | “Is Factor worth it?” and “Factor vs CookUnity” | Food and lifestyle media reviews |
| ChatGPT | 10 different threads | “What do people complain about?” and “Factor alternatives” | Tech and shopping media, Trustpilot, the Better Business Bureau |
For the general questions (best service, cheapest, healthiest) none of the three cited Reddit. They relied on media reviews and comparison sites. This fits what others have measured: in August 2026 ChatGPT sharply cut its Reddit citations.
But when we asked about Factor’s weaknesses and its alternatives, ChatGPT went straight to Reddit: ten threads, with titles like “Beware of Factor” and “Horrible Experience With Factor Meals”. So Reddit carries little weight when AI decides who to recommend, and a lot when it explains what is wrong with you.
All three assistants also put CookUnity ahead of Factor, as the best overall pick and the best for people living alone.
Finding 2: reading the threads changes the picture
An AI answer compresses a thread of hundreds of comments into one sentence. Here is what we found when we read the cited threads in full.
Accurate, but the thread was really about a competitor
ChatGPT wrote: One widely discussed Reddit post showed a shrimp meal with four shrimp and a few pieces of broccoli for $13.
That is accurate. The post has 1,381 upvotes and reads: 4 shrimps, 3 pieces of broccoli and a small pile of cauliflower mash. This was $13 and 600 calories.
The comments tell a second story. The most-upvoted reply (150 points) is about a rival: Factor meals always look like they tumbled down a flight of stairs.
(link), going on to say CookUnity is plated better. By our count, 31 of the 164 people who commented mentioned CookUnity. The second most-upvoted reply (36 points) pushed back: Ngl the comment thread looks like shills for CU.
(link)
None of that reached the AI answer. For Factor, the useful lesson is not “people dislike our portions” (it knew that), but that its most visible complaint thread doubles as a recommendation thread for its closest competitor.
Contradicted by the source it cited
Perplexity listed unreliable deliveries
among the most common complaints, citing Trustpilot and two media reviews. ChatGPT reported late or missed deliveries
from Trustpilot reviews. The most-upvoted thread we read, a long post with 1,440 upvotes and over 500 comments that Google AI Mode used, says the opposite: Factor excels in delivery. In my 8 weeks with Factor, I never had a late delivery or encountered any issues.
Delivery complaints may well be real. But they come from a review platform, not from the discussions the assistants were citing, which tells a brand where to look.
Cited after it was taken down
One thread ChatGPT cited for complaints no longer has a post: the title now reads “[deleted by user]” and the text “[removed]”. Its 218 comments are still there, and its most-upvoted reply is a balanced review from a 14-month customer that opens with the positives: Quality - everything from packaging to ingredients is in the top tier of ready meals.
and I average $6.75 a meal by using discounts and new member perks.
(link). The same reply lists cons too, including refunds and high fat and sodium.
A brand searching Reddit for its own name would not easily find this thread. The AI still uses it.
Old evidence for a current question
For “Factor vs CookUnity”, Google AI Mode cited a thread from July 2022. The original poster’s own comment mentions the recent glass in the food at factor 75
(link), news from four years ago, still sitting in a source used to answer the question today.
Where the AI got it right
The assistants were not wrong about everything. Across the threads we read, many different people independently raised the same issues the AI summarised: the price after introductory discounts, small portions, high sodium and fat, repetitive sides (green beans and zucchini come up again and again), and trouble cancelling or getting refunds. Those are real, and no amount of content will change how AI describes them until the product or the policy changes.
Even there, details matter. One cited thread claims you must enter a card to see the menu; the author later added that my experience was specifically in regard to Factor Meals Canada on a mobile browser
(link), and other commenters said they could see it without signing up. A complaint that depends on country and device needs a different fix from one that affects everyone.
Why check, if you can’t change the answer tomorrow?
You can’t edit what an AI says about you, and nothing here changes overnight. The point of checking is triage: each kind of finding calls for a different response, and some are quick.
| What the check finds | What to do | How fast |
|---|---|---|
| True and widely shared (portions, sodium, cancelling) | Treat it as a product or policy problem. Content won’t move it; changes will. | Slow, but you stop spending on the wrong fix |
| True only in some places (the Canadian sign-up flow) | Fix that flow, and say plainly on your own site how to see the menu without signing up. | Days |
| Out of date (a 2022 thread) | Publish a current, dated comparison or FAQ that answers the same question. | Weeks |
| Not from Reddit at all (delivery) | Look where the claim actually comes from, here review platforms. | Immediate: you know where to look |
| Strengths in the sources that the AI leaves out (the cited review’s praise for delivery) | State them clearly on pages AI tools read: pricing, FAQ, comparisons. | Weeks |
And because AI answers drift, ask the same questions again every month or so to see whether your changes have reached them.
What this means for GEO
Counting mentions tells you that AI talks about you. It doesn’t tell you whether what it says is true, or where the false parts come from. For that you have to read the sources, comment by comment, with dates and the number of different people behind each point. That is the work Valtaris was built for: reading a whole Reddit thread and backing every finding with the original words.
We don’t plant or write Reddit posts, and we don’t recommend it. Communities remove it, and it erodes the trust that makes these discussions worth reading in the first place.
Want this check for your brand? We’re running a small number of AI brand audits by hand while we build it into Valtaris: we ask the assistants your buyers use, read every Reddit thread they cite, and tell you which claims hold up, which don’t, and what to do first. Email us your brand name and we’ll reply within two working days.
About this test. One brand, eight questions, three assistants, asked on 11 October 2026 in English from outside the US. Answers vary by location, account and follow-up, so treat this as a case study, not a measurement. Upvote and comment counts are as shown on Reddit when we exported the threads on 11 October 2026; counts of people are distinct commenters in our export, and the CookUnity count is a keyword match. Reddit quotes are verbatim and link to their source; we don’t show usernames. Valtaris is not affiliated with Factor, CookUnity, OpenAI, Google, Perplexity or Reddit.
Sources
- r/ReadyMeals: This was my Factor dinner last night and I woke up still angry about it
- r/ReadyMeals: My experience with Factor after 8 weeks
- r/ReadyMeals: [deleted by user] (post removed, comments remain)
- r/ReadyMeals: What’s better, Cookunity or Factor 75? (2022)
- r/ReadyMeals: Horrible Experience With Factor Meals
- r/ReadyMeals: Are Factor meals any good?
- r/ReadyMeals: Cheaper alternatives to Factor
- r/mealkits: Factor: am I missing something?