✦ Key takeaway
When a prospect asks ChatGPT or Perplexity about the best solutions in your sector, it’s the market leaders that show up, even if your offering is better, more tailored, or more innovative. AIs recommend the brands they already know. This brand awareness gap with AIs is not random: it is explained by how models learn and select their sources. Still, a lesser-known brand can carve out a place if it knows where it can compete and which levers to activate.
Why do AIs recommend leading brands first?
AIs recommend what they already know
Language models rely on massive training data collected from the web. Leading brands are overrepresented there: news articles, market studies, comparisons, forums, and videos. When a recommendation query comes in, the AI draws from what it has learned, and brands with little presence in these corpora start at a disadvantage.
Each new model version reinforces this dynamic. Leaders continue to be cited in new publications, industry reports, and rankings. A challenger brand must first appear in these sources to hope to be picked up.
Leaders dominate lists and comparisons
AIs rely heavily on rankings, “top” lists, and comparisons published by the specialized press or reference sites. Leaders are systematically included, often at the top. When a user asks for the best tools in a sector, the AI reproduces what it finds in these sources. The more a brand appears in these lists, the more it is cited, and the more it becomes a reference for new content.
Brand name searches reinforce their status
A highly searched brand generates a lot of associated content: articles, reviews, tutorials, and videos. Several analyses published in 2025 and 2026 identify search volume for the brand name as one of the strongest signals linked to AI citations, even stronger than backlinks. Initial awareness feeds presence in comparisons, which feeds citations, which reinforces awareness: for a lesser-known brand, it is crucial to find entry points where this cycle is less dominant.
On which queries can a lesser-known brand be recommended by AIs?
Queries with specific criteria
The more specific the question, the less likely a generalist leader is the obvious answer. A user looking for a tool for a particular company size, a limited budget, a regulated sector, or a specialized use opens the door to specialists. The AI must then refine its recommendation and draws from more targeted sources, where challengers have a chance.
“Alternative to” queries and direct comparisons
When a user asks for an alternative to a leader, they explicitly open the door to competitors. AIs often respond based on “alternative to” articles or direct comparisons: being included there becomes strategic. Prompts like “difference between X and Y” also place both brands side by side, and functional relevance takes precedence over notoriety.
Niche or local queries
For a local query, a well-documented regional player can outrank an international leader. In a technical niche, a recognized specialist often beats a generalist. These queries have lower volume, but notoriety matters less overall.
Query type | Prompt example | Chance for a challenger brand |
Specific criteria | Management tool for small businesses under €50/month | High if specialization is clear |
Alternative to | Alternative to [leader] for freelancers | Moderate if the brand appears in comparisons |
Niche or local | Billing software tailored to healthcare professionals | High if expertise is well documented |
The goal isn’t to overtake leaders on generic queries, but to be recommended where the specificity of the need calls for a more tailored answer.
How can you strengthen your brand awareness with AIs against leaders?
Appear alongside leaders
Being featured in the same content as leaders is the most direct lever: comparisons, rankings, “alternative” pages, and industry lists. Even in a secondary position, this presence establishes your brand as a credible option in the eyes of AIs. The details of the platforms where these mentions matter are covered in our article on AI brand mentions.
Establish your brand as a clear entity
AIs better identify brands with a consistent identity: same name, same category, and same description across your website, directories, social profiles, and business listings. Structured data like Organization schema helps link your brand to a sector and an offering. A brand described differently across sources is harder to categorize and thus to recommend.
Produce data others will cite
Studies, barometers, or market figures picked up by industry media position your brand as a reference player. This content then becomes a source for AIs. This strategy takes time and resources but builds a lasting presence.
Embrace precise positioning
Being the go-to brand in a niche is better than being just another option in a broad market. A clear, consistently repeated positioning in your content and descriptions helps AIs recommend your brand for specific queries where generalist leaders are not the best answer.
Lever | Effort | Indicative time to impact |
Appear in comparisons | Medium to high | 3 to 6 months |
Brand identity consistency | Low | Several weeks to a few months |
Production of data cited by others | High | 6 to 12 months |
Clear niche positioning | Medium | 3 to 6 months |
These timeframes are rough estimates, not guarantees.
How to measure the brand awareness gap with your competitors in AI?
Measuring this gap requires regularly testing recommendation prompts. Which brands appear? In what order? On which types of queries does the gap narrow? This monitoring helps spot areas where your brand is gaining ground and where it remains invisible.
Growth in searches for your brand name in Search Console is an indirect signal: an increase indicates rising awareness, which is eventually reflected in the sources used by AIs.
Search AI’s prompt tracking lets you compare your presence with competitors over time and identify queries where your brand can progress.
Frequently Asked Questions
Can you overtake a leader in AI brand awareness?
On generic queries, it is rare: leaders have a structural advantage. On specific, niche, or local queries, however, a specialized brand can become the reference.
How long does it take to build brand awareness with AIs?
Think months rather than weeks. Embedding your brand in reference sources takes time: expect several months depending on the levers activated and the consistency of your strategy.
Do you need to be present on every platform?
No. It is better to have a strong presence on the sources AIs use in your sector (reference sites, comparisons, professional media) than to spread yourself thin on less-cited platforms.
Can you precisely measure the gap with a competitor?
Not absolutely, but you can compare citation frequency on typical prompts, track its evolution, and spot queries where the gap narrows. This relative measurement is enough to prioritize your actions.
About the author
Antonia
R&D & IA, CPO Search Ai
Antonia is Chief Product Officer (CPO) of Search Ai, a Generative Engine Optimization (GEO) platform for measuring, managing, and optimizing brand visibility on generative AI engines such as ChatGPT, Gemini, Perplexity, ... With over 10 years of experience as an R&D engineer, she continues to work at the intersection of R&D and business, transforming AI advancements into concrete functionalities for marketing teams.