How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)
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What Does “How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)” Talk About?
This episode of the Fatrank Podcast features James Dooley interviewing SEO expert Charles Floate on a topic that is rapidly gaining attention among marketers and business owners: how to rank higher in Bing search as a strategy for getting cited in ChatGPT. The conversation opens with a detailed breakdown of how Bing evaluates link profiles differently from Google, including its more lenient stance on PBNs and spammy backlinks, its weaker root authority signals, and why years of Google disavow data have left Bing without the same understanding of toxic links. Charles explains that while aggressive spam can still harm a Bing ranking, there is significantly more room to manoeuvre with link-building tactics that would be penalised on Google.
A major portion of the discussion focuses on content strategy for Bing, where the algorithm is described as far more linear than Google, preferring pages that are exact matches to the query rather than rewarding diverse content formats. James and Charles also dig into the mechanics of reverse engineering ChatGPT source citations, walking through a process that involves running query fan-outs inside ChatGPT itself, layering the outputs to generate a large dataset of grounded queries, and then identifying which sources appear most frequently across that dataset. The episode also covers practical tactics such as editing existing high-frequency pages for fastest impact, using tier-two backlinks to activate tier-one links, handling Bing cannibalisation, anchor text variation in PBN campaigns, and whether Microsoft Edge engagement signals play a role similar to Chrome data in Google's algorithm.
“If you put in something like best CRM tools, ChatGPT might run 16 different grounded queries. We extract all of those. Then we take that output and put it back into ChatGPT so it runs another set of grounded queries. We keep doing that until we have a huge dataset.”
— Charles Floate
Who Are the Guests on “How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)”?
Charles Floate is an SEO strategist with deep expertise in technical and off-page optimisation, known for his work across multiple search engines and AI-driven discovery platforms. In this episode he demonstrates command of nuanced differences between Google and Bing ranking systems, including link graph analysis, cannibalisation handling, anchor text strategies, and how AI tools like ChatGPT source and cache content. He regularly appears on the Fatrank Podcast to discuss emerging search and AI visibility tactics.
James Dooley is the host of the Fatrank Podcast and a well-known figure in the SEO community, particularly recognised for his focus on lead generation and search engine strategy. Throughout the conversation James contributes sharp observations of his own, including his analysis of query augmentation differences between Google and Bing, the continued effectiveness of exact match domains in Bing, and the historical context of why Bing never accumulated the same toxic link data that Google did through its disavow programme.
What Are the Key Takeaways From “How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)”?
Here are the key points discussed in this episode:
- Bing is significantly more tolerant of aggressive PBN links and higher volumes of spammy backlinks than Google, making it possible to rank with link-building tactics that would cause penalties on Google.
- Bing's algorithm is more linear than Google's, consistently ranking pages that are exact matches to a query rather than rewarding the diverse mix of content formats Google tends to surface.
- To reverse engineer ChatGPT citations, you should use ChatGPT's own query fan-out process repeatedly to build a large dataset and then identify which source pages appear most frequently across those grounded searches.
- Editing an existing high-frequency cited page is faster than creating a new guest post when trying to get a brand mentioned in ChatGPT, though Bing's weaker cannibalisation detection means a new page can also outrank the original if it is sufficiently better.
- Google and Bing require separate SEO project strategies because they respond differently to link types, anchor text ratios, tier-two backlink quality, and content structure.
“You want a project for Google and a project for Bing because they are two very different projects.”
— Charles Floate
Is “How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)” Worth Listening To?
This episode is worth listening to because it addresses a genuinely emerging and underserved question in the SEO industry: how do you engineer visibility in ChatGPT, and what role does Bing play in making that happen? Rather than offering vague advice about creating good content, Charles Floate and James Dooley walk through a concrete, repeatable process for identifying which pages ChatGPT is drawing from, why those pages rank in Bing, and exactly how to get a brand onto those pages through link inserts, guest posts, and tier-two backlink campaigns. The specificity of the query fan-out methodology alone makes this episode stand out from most AI SEO content currently available.
Beyond the ChatGPT citation strategy, the episode is valuable for anyone who has overlooked Bing as a meaningful traffic source. The discussion of how Bing never received the same volume of disavow data as Google, why exact match domains still perform strongly there, how cannibalisation is handled differently, and why anchor text manipulation thresholds work differently gives practitioners a genuinely actionable framework for expanding their search presence. Whether you are an agency owner managing client link profiles or a business owner trying to appear in AI-generated answers, this episode provides a clear, technically grounded roadmap.
Who Should Listen to “How Bing Rankings Help You Get Mentioned in ChatGPT (James Dooley Interviews Charles Floate)”?
This episode is ideal for:
- SEO professionals and agency owners who want to understand how to adapt link-building and content strategies specifically for Bing rather than defaulting to Google-centric tactics
- Business owners and marketers who want their brand cited in ChatGPT responses and need a practical method for identifying and targeting the right source pages
- Digital marketers who were penalised by Google algorithm updates and want to understand how to recover visibility through Bing, where their existing link profiles may still hold value
- Content strategists and SEO consultants looking to understand how AI tools like ChatGPT source, cache, and surface content so they can build campaigns around AI visibility rather than traditional SERP rankings
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What Are Listeners Saying About This Episode?
“The query fan-out explanation alone was worth sitting through this entire episode. I had no idea you could layer ChatGPT's own grounded searches to build a citation source dataset. Already started testing it on a client project and the methodology makes total sense.”
“Really appreciated the nuance around Bing cannibalisation versus Google's linking version system. I have been running everything through a single Google-focused strategy and this episode made it obvious why I need separate Bing campaigns. Practical and specific throughout.”
“James asking about tier-two backlinks for Bing specifically was the question I didn't know I needed answered. Charles's point that tier-two links for Bing don't need to be as high quality as for Google changes how I'm going to structure upcoming projects. Refreshingly direct conversation with no fluff.”
James Dooley and Charles Floate discuss how to rank higher in Bing search to increase the chances of being cited in ChatGPT. The conversation explains how Bing treats links, PBNs, toxic backlinks, exact match domains, query matching, content structure and engagement signals differently from Google. Charles Floate breaks down how to reverse engineer ChatGPT source citations using query fan-outs, grounded searches and repeated source analysis. They also cover link inserts, guest posts, tier-two backlinks, Bing cannibalisation, Bing Webmaster Tools, exact match anchors and why separate SEO strategies may be needed for Google and Bing. This video is useful for SEO professionals, business owners and marketers looking to improve Bing rankings, AI visibility and ChatGPT citations.
James Dooley: How to rank in Bing search engine to help manipulate getting cited in ChatGPT.
Today I'm joined with Charles Floate, and there are a lot of people asking this. Normally, people are always trying to rank in Google, but a lot of business owners now want to get cited in ChatGPT. A lot of people are asking how to specifically rank better in Bing search. So how do you do it?
Charles Floate: With Bing, number one, let's talk about link profile first.
Root authority, link profile, toxic links and all that kind of stuff are treated very differently by Bing compared to Google. To be fair, Google is significantly better at analysing links, seeing if spam links are toxic, seeing if links should count, and measuring root authority than Bing is. You can get away with much higher levels of spam that would normally tank sites in Google inside Bing. With that being said, you still do not want to send a million GSA links to your site because that will tank it in Bing. But you can use aggressive PBNs. Bing does not have the same link graph association and consensus that Google has, so you can use more powerful PBN links that would not work as effectively in Google. Generally, root authority is not treated as strongly as it is in Google. So while you can build a higher volume of potentially spammy links in Bing, they do not mean as much from a root authority standpoint as they do in Google. At the content level, Bing tends to be much more linear. It looks for pages that are exact matches to the query and cover the exact query intent Bing is looking for. Google is more dynamic. It may allow two blog posts, two e-commerce roundups, two forum posts, a Reddit guide and a video. Bing is much more linear and tends to rank similar pieces of content. You do not get the same dynamic setup that you see in Google.
James Dooley: I feel the biggest difference is query augmentation.
Once Google starts to trust you, it will rank the same page for many more keywords and expand it across more search terms. Bing seems to be more direct. Here is a query, write for that query. EMDs are working brilliantly in Bing. They are working in Google as well, but they are working very well in Bing. A lot of people who were hit badly in Google are still crushing it in Bing, often because of unnatural link penalties and how Bing treats links differently. Years ago, lots of people submitted disavows in Google, but nobody really submitted them in Bing Webmaster Tools. So Bing did not gather the same volume of data around what toxic links look like. I agree that exact match queries in titles, content and anchors still work well in Bing. You spoke about how Bing is useful for getting more citations in ChatGPT. If someone came to you and said they specifically wanted more citations in ChatGPT, how are you reverse engineering the sources ChatGPT is using?
Charles Floate: We start with the initial query and do the query fan-out.
We do not use Ahrefs or a random AI input and output for the query fan-out. We normally use ChatGPT’s own query fan-out. If you put in something like “best CRM tools”, ChatGPT might run 16 different grounded queries. We extract all of those. Then we take that output and put it back into ChatGPT so it runs another set of grounded queries. We keep doing that until we have a huge dataset. From those queries, you may get 10 to 25 sources in the summarised output. We then look across the full dataset and ask which sources are showing up again and again. If one page has 1,000 mentions and another has two, we want to get onto the source that appears most often.
James Dooley: From there, are you trying to do a link insert on the existing page and get the brand added there?
Or are you trying to create a new guest post on that domain, then build tier-two links to the new URL to outrank the existing page?
Charles Floate: It depends what the publisher allows.
If the publisher lets us edit the page, we will edit the page because that has the fastest effect. But OpenAI and ChatGPT often cache pages so they do not need to constantly retrieve the web page again. If a page is showing up 1,000 times, it is likely cached. You need to wait for that cache to update. Usually that is 24 hours, but it can take longer if the source is lower weighted. If we can edit the existing page, we will. But because Bing handles cannibalisation better than Google, you can often get a new page to outrank another page in Bing for the exact same query, as long as the new page is better. Bing does not have the same linking version system that Google has.
James Dooley: With regards to powering up backlinks, you have said before that tier-two links work well because they activate the tier-one link.
How does that work in Bing? Do you want to do tier-two backlinks for Bing search?
Charles Floate: Yes.
In general, you want even more tier-two links for Bing, and they do not need to be as good as they would for Google. This is where you should usually split projects. You want a project for Google and a project for Bing because they are two very different projects.
James Dooley: With regards to virality, people talk about viral campaigns using Chrome browsers because Google owns Chrome.
Is there anything similar that can be done on Microsoft to help rank better in Bing? Do they use user signals, CTR and engagement?
Charles Floate: They definitely use SERP user engagement signals.
I do not think they use Microsoft Edge browser data to the same level that Google uses Chrome signals, but they definitely use engagement signals at a certain level.
James Dooley: Is there anything else Bing does differently?
They have Bing Places instead of Google Business Profile. They have Copilot instead of Gemini. If someone comes along and says they only care about getting more ChatGPT citations, or they are ranking number three in Bing and want to move to number one, what is your strategy? Would you go harder on exact match anchors?
Charles Floate: I would hit it with links that Bing specifically likes.
We usually have decent PBNs that Bing tends to respond well to. Exact match anchors still work, but Bing still has anti-spam systems that deal with anchor text manipulation. If you build 100 exact match PBN links with no variation, you can still get hit in Bing just like Google. But you can build 100 PBN links with anchor variation and rank very well.
James Dooley: Anyone watching this, I hope you liked the video on how to rank higher in Bing search.
Make sure you check out the links in the description. There are other videos where I ask Charles Floate how to increase visibility in other large language models, including Gemini, ChatGPT, Perplexity and Claude. Charles Floate, it has been an absolute pleasure.
Creators & Guests
Host
James Dooley is the founder of FatRank which is a UK lead generation company. James Dooley is the current CEO of FatRank that provides high-quality leads for UK business owners.