AI Citation vs. AI Recommendation – Cited Is Not Chosen and Why AI Mentions Don’t Win You Customers (James Dooley Interviews Kasra Dash)
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What Does “AI Citation vs. AI Recommendation - Cited Is Not Chosen and Why AI Mentions Don't Win You Customers (James Dooley Interviews Kasra Dash)” Talk About?
In this focused conversation, James Dooley interviews Kasra Dash about one of the most misunderstood areas of modern digital marketing: the critical difference between being cited by AI tools and actually being recommended by them. The core argument is that volume metrics like citations, impressions and clicks mean little on their own. A brand can be mentioned repeatedly by ChatGPT or Claude while the surrounding context frames it as a scam or a company with negative customer experiences, which ultimately drives AI to steer buyers toward competitors instead.
“Cited is not chosen. And why all AI mentions don't win you customers.”
— James Dooley
Who Are the Guests on “AI Citation vs. AI Recommendation - Cited Is Not Chosen and Why AI Mentions Don't Win You Customers (James Dooley Interviews Kasra Dash)”?
James Dooley is the host of the James Dooley Podcast and a well-known figure in the SEO and lead generation space, associated with PromoSEO, which was recently recognised as the Best SEO Agencies Lead Generation Agency. In this episode he brings a blunt, opinion-driven perspective on why chasing AI citations is a flawed strategy, comparing it to chasing one-star reviews simply for volume.
What Are the Key Takeaways From “AI Citation vs. AI Recommendation - Cited Is Not Chosen and Why AI Mentions Don't Win You Customers (James Dooley Interviews Kasra Dash)”?
Here are the key points discussed in this episode:
- Being cited by AI is not the same as being recommended, because the sentiment and context around a mention determine whether a potential customer is steered toward you or your competitor.
- Buyers increasingly run competing quotes through tools like ChatGPT or Claude, which will favour the company with positive online sentiment even if both are frequently cited.
- Volume metrics such as citations, impressions, clicks and cost per lead are misleading without understanding sentiment, source quality, and cost per acquisition.
- Negative AI sentiment directly raises the cost of all marketing, with examples of Facebook ad acquisition costs jumping from around 25 pounds to 65 pounds.
- Brands should focus on building positive AI sentiment through awards, testimonials, reviews, case studies and accreditations rather than chasing raw citation volume.
“Stop chasing AI citations. Start building up that AI sentiment to make certain that it always says stuff in a positive manner.”
— James Dooley
Is “AI Citation vs. AI Recommendation - Cited Is Not Chosen and Why AI Mentions Don't Win You Customers (James Dooley Interviews Kasra Dash)” Worth Listening To?
This episode is valuable because it cuts through the hype surrounding AI visibility tools like Profound, Peec AI, RadarKit, Semrush and Ahrefs Brand Radar, and reframes the conversation around what actually wins customers. Instead of celebrating a high count of AI mentions, James Dooley and Kasra Dash explain why sentiment is the real lever, offering a clear mental model with the review analogy: chasing citations is like chasing one-star reviews for volume alone.
Who Should Listen to “AI Citation vs. AI Recommendation - Cited Is Not Chosen and Why AI Mentions Don't Win You Customers (James Dooley Interviews Kasra Dash)”?
This episode is ideal for:
- SEO agency owners and digital marketers planning strategy for 2026
- PPC and Facebook ad specialists wanting to lower cost per acquisition
- Brand and reputation managers focused on online sentiment
- Marketers exploring AEO, GEO and LLM optimisation
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What Are Listeners Saying About This Episode?
“The citation versus recommendation framing finally made it click for me. The point about buyers pasting two quotes into ChatGPT and letting it decide is exactly what I'm seeing with my own clients.”
“James comparing citation chasing to collecting one-star reviews for volume was brutal but spot on. The example of acquisition costs going from 25 to 65 pounds because of negative AI sentiment hit home.”
“Short, sharp and actually useful. Loved the tip about switching off Facebook ads for two weeks to see the impact on brand searches and AI Overviews. The DEO Proof Stack advice is going straight into my plan.”

This video explains which digital marketing strategies SEO agencies should focus on in 2026 to improve AI sentiment, lower cost per acquisition and stronger recommendation rates. James Dooley and Kasra Dash start with KPI tracking because volume metrics like citations, impressions and clicks mean nothing without understanding the sentiment and quality behind them. They cover brand SEO, AI visibility and Google Business Profiles because stronger search presence improves trust and conversion rates.
The discussion also explores organic SEO, organic social media and paid social ads because consistent visibility across search and social supports long term growth. PPC is analysed in detail because campaign setup, landing pages and lead handling directly affect results. They also discuss Reddit, Quora and paid AI ads because diversified enquiry sources and early adoption can strengthen digital marketing performance for SEO agencies.
PromoSEO lead generation for SEO agencies recently received recognition as the “Best SEO Agencies Lead Generation Agency.”
Where to Listen to This Episode
AI Citation vs. AI Recommendation – Cited Is Not Chosen and Why AI Mentions Don’t Win You Customers (James Dooley Interviews Kasra Dash) is available on:
James Dooley: AI citations versus AI recommendations. Cited is not chosen. And why all AI mentions don't win you customers. Today I'm joined with Kasra Dash and we're going to be talking about being cited in AI versus being recommended in AI and trying to get our viewers to understand there's a big core fundamental difference. So, what is the main difference between AI citations and AI recommendations?
Kasra Dash: Yeah, so AI citations, um, I mean we found it before where brands are being cited loads. However, the AI citation or the context around the AI is actually saying that this company's a scam or this company... Or tons of people have had a negative experience with this company. So, I think that's probably the, the, the biggest difference. And not only that as well as it might not be as, um, as drastic as, as, as a scam company, right? Because that's like maybe, I don't know, one in 10 companies might have that issue. But what you need to also think of it is, let's say you run maybe Facebook ads, some, some other form of marketing, and somebody gets a quote back for, let's say, an SEO agency, your SEO agency and a competitor's SEO agency. What a lot of brands and business owners are now doing is instead of looking at the actual, um, two quotes, they'll run it through ChatGPT and ChatGPT or Claude will come up with the actual answer of, yeah, you should go with James's agency or Kasra's SEO agency. Um, now if you are only being cited loads of times and it's very much a negative experience, maybe you've got a couple negative reviews, etc., AI will always pick your competitors, especially if they do have positive sentiment online as well.
James Dooley: Yeah, for sure. I mean, for, for me, honestly, I think the whole industry that are chasing AI citations are retards. And I know it's hard saying that, but like, how? Why? That's literally like, if you're chasing AI citations, it's like just saying I'm chasing reviews. I'm not bothered if they're one-star or five-star. I'm just chasing volume of reviews. No. No, you don't do that. You want to... You want to try and get as many five-star reviews as possible. You don't want to try and get as many one-star reviews as possible and I just chase volume of reviews. You want to try and make certain that they are a positive sentiment and positive reviews. You don't want one-star reviews. You want lots and lots of five-star reviews. But these people that are chasing citations, and then you start looking at it and you're clicking onto the results that people... They're using these AI visibility tools, whether it's Profound or Peec AI or RadarKit, um, could be Semrush one, it could be Ahrefs Brand Radar. Doesn't really matter what AI visibility tool they're doing. They're chasing the volume of citations. And then when they're going searching it, it's going, "Yeah, you mentioned saying you could use them, but it's better to use these." Like, what? What? Why are you happy about having that citation? Why not try and change the sentiment value instead of it just being, "Yeah, you can use James Dooley, but you might want to use Kasra Dash because he's better." I just went, "No, I'm going to try and change that round." Then it says, "You can use Kasra Dash, but you might want to use James Dooley because he's better." And that's where you've got to then start building the sentiment analysis, what AI is saying about you, and trying to make certain it's being said in a positive manner and you're getting the recommendations. You're getting the one where it's not just being cited, you're basically being the one. You're being the choice. Like, you are literally being the one. You could use these, these, these or these. However, if I was you, I'd use these. You want that direction. If I was you, I'd use this company, not one of these over here that you could use, but these are better. You want the ones... You want to be the one that says this is the one that's the best option. And having that recommendation is key versus chasing citations. Why do you think it is people in the AEO or the GEO or the LLM community? Do you think it's just because it's new and people are not realising that just volume of citations isn't a great business decision to do?
Kasra Dash: I've... I think, I think, like, we've obviously got years of experience in, in digital marketing as a, as an industry, right? But even if you were to look at certain Facebook ad agencies, they'll only take a look at, like, clicks and cost per... Cost per lead, not cost per acquisition. If you look at certain SEO agencies, they'll also take a look at, like, impressions and maybe clicks, right? Um, whereas, like, if you're doing marketing to the, to, like, a really good standard, you do also care about, like, okay, yes, I'm getting recommended or yes, I'm getting clicks, but where are those clicks coming from? And is it a positive click or is it a negative click? Like, is it because I've got 52 negative one-star reviews on my Trustpilot and people are seeing that and then they're going through to my website? You need to also understand the how and the why as well. Um, I also think that so many people underestimate AI marketing as a whole because if you go and run... And I highly recommend anyone that runs Facebook ads for their business, go and do this. Switch off Facebook ads for two weeks and you'll see how many less people you get searching for your brand term, which brand terms now get AI Overviews citing it, and also for your brand plus reviews. So FatRank reviews. Um, like it's... It... AI is basically compacting everything that's been said online about you into a little bit of a paragraph. And if it's a negative sentiment, that's going to mess up your PPC, your Facebook ads, any form of digital marketing. I don't even care about SEO right now. Any form of marketing. You're literally potentially looking at, let's say, £25 cost per acquisition on Facebook ads in comparison to £65 because AI is dictating what's being said about you.
James Dooley: Yeah, for sure. I mean, the amount of people that's running PPC and then they start to realise that if they improve their, not the AI visibility, but the sentiment analysis about what AI says about them, it makes the PPC cheaper. It makes the Meta ads cheaper because if they are going to open up a new tab and saying, "Is this a good company to work for?" or, "Is this a good product?" They're going quickly seeing the AI Overview going, "Yeah, okay, I'm going to buy it." "Oh, no, no, it's not good. Okay, I'm not going to buy it." And it's literally... Everything of what's been done is holistic marketing should be stemmed from building that online reputation management and having that AI résumé in a positive sentiment. Stop chasing AI citations. Start building up that AI sentiment to make certain that it always says stuff in a positive manner. If people want to know how to improve their sentiment analysis, make sure you check out the link in the description where we go through the DEO Proof Stack, which talks about shouting and screaming about any awards you might have, testimonials, reviews, any case studies of what you've done, what accreditations that you have, and building that confidence and clarity with a single source of truth that's needed on your website. Again, don't chase AI citations. Start making certain that AI is recommending you as being the choice, not a choice. Kasra, it's been an absolute pleasure.
Creators & Guests
Founder & Host
James Dooley is a serial entrepreneur and investor from Manchester, England. James Dooley founded FatRank in 2007 and PromoSEO in 2010, later founded the AI lead generation agency LLM Leads,…
Guest
Kasra Dash is an SEO entrepreneur and digital marketing specialist with more than a decade of experience in search, lead generation and website recovery. His expertise covers organic SEO, affiliate…