
Ask ChatGPT to compare your category. Nine times out of ten, the names that come back are American. Occasionally British. Almost never Swedish, even when your product is arguably the better fit for the exact question being asked. I've watched this happen enough times now that I don't think it's an accident. It's mechanical, and once you understand the mechanism, you can actually do something about it.
It's Not Bias. It's Math.
AI platforms cite brands based on entity clarity and how much third-party corroboration they can find, not some independent judgment of who's actually better. Brand-owned domains make up only 5 to 10% of the sources these models cite for commercial questions. The rest is earned media: review platforms, comparison sites, trade press, forums, analyst coverage. Branded mentions correlate roughly three times more strongly with AI citation than backlinks do. The sheer density of your name appearing across trusted third-party content is doing most of the work here, not your website's SEO.
That's the structural disadvantage. US companies have had more years, more infrastructure, and a much larger domestic press ecosystem to build up exactly that kind of mention density. Not because anyone decided American software is better. Because American companies have had more time to accumulate the specific signal these models reward.
Why This Gap Doesn't Just Close on Its Own
Here's the part that should actually worry you. Cited domains change 40 to 60% month over month across major platforms. That volatility sounds like an opening for a challenger to break through. In practice, it works against you if you're under-covered. A brand with thin, inconsistent mentions is more likely to vanish entirely during that churn. A brand with dense, redundant coverage across many sources has enough corroboration to survive it and keep reappearing.
Which means the gap between a well-covered US incumbent and an equally strong Swedish alternative doesn't shrink by accident. It compounds. Every retrieval pass reinforces whichever entity already has the clearest signal. Doing nothing isn't neutral. It's actively falling behind a competitor whose mention density keeps growing through ordinary market activity that a smaller domestic market simply produces less of by default.
The Three Moves That Actually Change Your Position
Get serious about English-language earned media, not just Nordic-language coverage. A mention in an English-language trade publication does more for AI citation than the same volume of content in Swedish, because the training and retrieval corpus for English-language buyer queries is overwhelmingly English-language source material. This isn't a judgment on Swedish content. It's a fact about what these specific models pull from.
Fix your presence on the exact platforms US vendors dominate. G2, Capterra, Crunchbase, category comparison sites. These carry outsized citation weight. A thin or stale profile here puts you at a structural disadvantage against a US competitor with a dense, actively maintained profile, completely independent of product quality.
Publish honest comparison content that puts your name directly next to the US incumbent's. Waiting to be discovered independently just makes an under-covered brand harder to find. A page naming the category leader directly, and stating clearly where your product genuinely wins, gives an AI model something concrete to extract in exactly the comparison queries where you're currently invisible.
The Reddit Problem Almost Nobody Checks
Reddit is the single most-cited source across major AI engines, showing up in roughly 40% of citations. If a US competitor has active, positive threads in your category's subreddits and you don't, that's quietly working against you in a way most Swedish marketing teams never think to check, because Reddit culture is genuinely different in Sweden and most teams simply don't have a habit of engaging there the way US-based competitors do as a matter of course.
What Actually Makes This a Fair Fight
Here's the reframe worth sitting with. Because most Swedish B2B companies haven't yet made a deliberate investment in this specific kind of English-language corroboration, the competitive field for a Swedish challenger doing this work properly is far more open than it would be trying to out-content an established category leader through sheer content volume, which is a losing game for a smaller company regardless of geography.
This is not about outspending a well-funded US competitor. It's about building the specific, corroborated, comparison-ready content that these models are structurally built to reward, in a field where almost no other Swedish company in your category has made that same investment yet. That's a genuinely winnable position. Most of your Swedish peers just haven't noticed the fight is happening.
Frequently Asked Questions
Why do AI platforms cite US B2B software companies more often than comparable Swedish alternatives?
AI models cite brands based on entity clarity and third-party corroboration density, not independent product judgment. US companies have accumulated more years of English-language trade press coverage, review platform presence, and general market mention density, which gives these models more corroborated signal to draw from, regardless of whether a comparable or better Swedish alternative exists in the same category.
Does this citation gap close naturally as a Swedish company grows?
Not automatically, and it can actually widen if left unaddressed. AI citation is highly volatile month to month, and brands with thin, inconsistent coverage are more likely to disappear during that volatility, while brands with dense corroboration survive it. A Swedish company that doesn't deliberately invest in closing this gap tends to fall further behind as competitors' mention density keeps compounding through normal market activity.
Should a Swedish B2B company name US competitors directly in its own content?
Yes, and this is one of the highest-leverage moves available. Publishing honest, specific comparison content that names the US category leader directly, and states clearly where your product genuinely has an advantage, gives AI models something concrete to extract in exactly the comparison queries where a lesser-known Swedish alternative is currently invisible.
How much does Reddit actually matter for AI citation in B2B software categories?
More than most Swedish marketing teams assume. Reddit is the single most-cited source across major AI platforms, appearing in roughly 40% of citations. A category with active, positive Reddit discussion favoring a US competitor, while a Swedish alternative has no presence there at all, creates a real and often overlooked citation gap.
Is competing against established US software companies in AI search actually realistic for a smaller Swedish company?
Yes, more realistic than competing on raw content volume against an established US category leader. Most Swedish B2B companies haven't yet made a deliberate investment in English-language earned media and comparison-ready content built for AI citation. That means the competitive field for a company willing to do this work properly is still genuinely open, rather than already saturated the way it would be trying to out-produce a well-funded incumbent.
References
Bigeye Agency, Answer Engine Optimization: The Complete Guide to Getting Your Brand Cited by AI in 2026, brand-owned domain citation share and branded mention correlation data: https://www.bigeyeagency.com/insights/answer-engine-optimization-the-complete-guide-to-getting-your-brand-cited-by-ai-in-2026
Ryze AI, Track Brand Share of Voice: ChatGPT and Perplexity, Reddit citation frequency data and platform-specific citation behavior: https://www.get-ryze.ai/blog/how-to-track-your-brand-s-share-of-voice-across-chatgpt-and-perplexity
Wrodium, Top 8 AI Citation Tracking Tools in 2026, 40 to 60% monthly citation volatility research: https://wrodium.com/blogs/top-8-ai-citation-tracking-tools-in-2026
Authority Tech, AI Citation Gap Analysis, entity clarity and corroboration mechanisms in AI citation decisions: https://authoritytech.io/blog/ai-citation-gap-analysis



