You Do Not Need a Different Strategy for Every AI Platform
The BrightEdge team has spent the past couple of months looking at how Google AI Overviews and ChatGPT treat different types of sources across categories, including retail, finance, and big platforms like YouTube, and Reddit. What we’re seeing is an insight that I think gets lost when marketers focus too narrowly on any single AI platform.
What’s important to remember is that Google and ChatGPT share the same foundational content signals, but they use them in fundamentally different ways depending on the context. If you can decode the “why”, the path to visibility across both becomes much clearer.
They Both Trust Big Platforms. How They Use Them Is a Different Story.
One of the consistent findings across our research is that both platforms lean on the same set of trusted sources. YouTube and Reddit show up as significant citation surfaces in both Google AI Overviews and ChatGPT. So does the broader editorial web, review platforms, and established publishers in most categories. Use AI Catalyst to find your gaps and opportunities. This will tell you where you may need to focus.
But when and how these platforms cite them offers marketers valuable strategic insight. They may even be paths to getting recommended by AI, even if you’re not cited by major expert sources yet.
Take Reddit. ChatGPT cites Reddit in roughly 55% more queries than Google AI Overviews, and when it does, it almost always pairs Reddit with authoritative sources like Healthline, Mayo Clinic, or Forbes. ChatGPT is using Reddit as a peer validation layer alongside expert sources, particularly when someone is making a real decision in health, finance, or a major purchase. This may be a great opportunity for brands that aren’t already regularly cited by those expert sources. Your community participation and emphasis on this channel may be a way to build mentions before you have the gravity of the major sources.
YouTube tells a similar story in reverse. Google cites YouTube in roughly 30 times more queries than ChatGPT in absolute volume. But the more revealing number is how each platform uses it. 60% of ChatGPT's YouTube citations come from instructional how-to queries, compared to only 22% for Google AI Overviews. ChatGPT is nearly three times more likely to reach for YouTube when someone is trying to learn how to do something. Google, on the other hand, leans on Google, on the other hand, leans on YouTube most heavily at the consideration stage (think "best running shoes," "iPhone vs Samsung," or "is X worth it" queries), citing it 2.5 times more than ChatGPT on review and comparison queries where someone is deciding what to buy.
For marketers, the question is not simply whether you have a YouTube presence. It is whether the right content exists for each job. But before you start assigning tactics to channels, the more important first step is understanding where your gaps actually are and which ones matter most. Find out what AI is already citing for your category's key queries. Identify which platforms are surfacing competitors or third-party creators in your place, and how often. That gap analysis tells you where to prioritize -- whether that is Reddit, YouTube, Quora, or somewhere else entirely -- and it prevents you from investing in channels that are not actually driving AI citation in your space.
Once you have that picture, the channel logic follows naturally. Instructional how-to content drives ChatGPT visibility on YouTube. A review and comparison-style video is where you need to show up for Google's consideration stage. On Reddit and Quora, the question is whether your brand or category is being discussed authentically and whether those threads are the ones AI is pulling from. In some cases, partnering with a creator who already has AI's trust will move faster and reach further than building from scratch. The underlying point is that the sources AI trusts are largely consistent across platforms. What changes is how and when each platform reaches for them -- and knowing that shapes where you spend your energy first.
Why the Environment Changes Everything
There is a structural reason Google and ChatGPT behave differently that goes beyond editorial preference, and it explains a lot of why we see these differences.
Google AI Overviews do not operate alone. They sit inside a search results page that already has Shopping carousels, map listings, merchant results, and organic links. The AI does not have to do all the work because the rest of the page is already doing some of it. You can see this directly in the retailer citation data. Google AIO cites major retailers directly in 30% of transactional citations because it can gesture toward a brand and let the Shopping carousel and organic results close the transaction. ChatGPT has no carousel to hand off to, so it routes through editorial and financial verification sources first before landing on a brand recommendation, which is why only 15% of its transactional citations go directly to a retailer. Users could have the same query but get half the direct brand presence, and the difference comes down entirely to what surrounds the AI when it answers.
What’s really apparent is that you can optimize once and win everywhere with the right strategy. Strong content, credible third-party presence, and consistent brand positioning drive visibility on both platforms. This won’t change. What shifts is how each platform uses those inputs. Once you define that for your space, you can optimize accordingly.
What This Means for Your Strategy
Platform differences don’t require a separate strategy for each one. That is the wrong instinct, and it is expensive.
What is required is the right measurement inputs to build a unified execution strategy. If you are looking at Google AI Overviews performance in one report and ChatGPT's visibility in another, and neither of those is connected to your organic search footprint or your business outcomes, you are making decisions with an incomplete picture. You may be investing in the right content for the wrong moment in the journey, or optimizing for one surface while losing ground on another without knowing it.
The Full Picture Is What Moves the Needle
At BrightEdge, this is exactly the challenge AI Catalyst was built to address. Not just tracking whether your brand appears in AI-generated responses, but connecting that visibility to the broader picture of how your digital presence is performing.
Your keyword rankings, your referral traffic from AI platforms, and the direct and organic traffic patterns that reveal the halo effect when AI mentions your brand, but the customer converts elsewhere. When you have those signals together, you can start to understand how your AI visibility is actually influencing business outcomes, not just siloed impressions.
The overall platform brings those elements into a single view, combining your AI visibility, technical site performance, agent behavior, and business metrics into dashboards that show how everything ladders up together. Instead of stitching together separate reports to figure out why performance changed, you can see the full picture in one place.
The research from the past month reinforces something we have believed for a long time. Brands that win in AI search are not the ones that optimized specifically for AI. They are the ones who built genuine authority, invested in the sources and communities where their customers form opinions, and earned credibility across the full web. The job is to build it, measure it across every surface it appears on, and connect it to outcomes.
That is what winning looks like from here.