We ran 8,068 unbranded AI queries across 4 major engines asking about marketing, advertising, creative, and CMO events. Then we ranked every conference AI surfaced — unprompted — to see which events have built a moat in the AI-recommended era.
Every prompt mirrors how real CMOs, agency leaders, and marketing executives search for conferences using AI. No event names. No sponsor mentions. Just discovery queries like “best marketing conference for CMOs in 2026” and “which advertising summit delivers the best ROI?”
CMOs and senior leaders seeking conferences with high-quality networking and peer connections.
Evaluating conference value, VIP packages, and ticket ROI before committing budget.
Side-by-side comparisons of major advertising industry events.
Finding the top marketing or advertising conference in the United States.
How the 103 prompts break down by searcher intent — the same intents real marketing leaders bring to AI platforms.
POSSIBLE appears in 31.8% of all unbranded AI responses — the highest visibility of any marketing conference. Cannes Lions follows at 28.8% but holds the best average position (1.9), meaning when AI recommends it, it appears first. The top 6 events each appear in 20%+ of all responses.
Visibility % = percentage of AI responses in which the event was mentioned across 8,068 queries.
Cannes Lions has built an editorial moat — decades of award coverage, trade press, and branded content make it the default reference event for AI. Sponsorship slots are expensive because the AI visibility that comes with it is already priced in.
Each of the top 5 marketing conferences appears in 20–29% of all AI responses. Everything below Adobe Summit at #6 (7.5%) drops off a cliff — a 2.8x gap separating the editorial incumbents from the rest.
If you sponsor or speak at an event outside the top 5, you are competing for a fraction of AI visibility. This is the structural reason premium conference budgets cluster around the same 5 events every year — AI recommendations reinforce a distribution that was already skewed toward editorial incumbents.
Every engine answers the same question differently. Google AI Overview lists 6.5 events per response on average; OpenAI lists 5.1. That gap is the difference between visibility and invisibility for conferences outside the top 5.
A mid-tier event has ~27% better odds of making it into an answer on Google AI Overview than on OpenAI. If your audience is asking ChatGPT for recommendations, you have fewer slots to win. If they're using Google's AI Overview, the door is more open. Engine mix is now a distribution lever.
POSSIBLE wins on both visibility (31.8%) and position (avg rank 2.6).ANA Masters of Marketing holds #5 on visibility but achieves a better average position (2.9) than #3 and #4 (2.9 each) — meaning when it appears, it shows up higher in the list.
Visibility tells you how often AI surfaces an event. Average position tells you how confident the engine is in that recommendation. Events that rank high when mentioned are being treated as category leaders, not afterthoughts. For sponsorship budget planning, both metrics matter.
Every event in the top 5 has been covered by trade press (Adweek, Ad Age, The Drum, Fast Company) for decades. Every event ranked #7–10 is newer, narrower, or has weaker editorial distribution. AI engines don't recommend “the best” event — they recommend the event with the deepest indexable content footprint. The playbook: invest in editorial partnerships, publish speaker content year-round, and secure review coverage from trade media.
Our companion study analyzed 1,465 unbranded business conference queries. SXSW is the only event that ranks in the top 5 of both categories — appearing in 26.6% of marketing queries and 15.2% of business queries.
Visibility % = percentage of AI responses mentioning each event. Both studies use the same metric, making the comparison apples-to-apples despite different query volumes.
Sample prompts and the event that came out on top across all four AI engines. Every row shows full 4-engine consensus.
When all four engines independently return the same top event for a given question, that event has built a moat in the indexed web — the kind of moat a sponsor booth can't replicate. If your event isn't the 4/4 answer, the opportunity is in the content footprint, not the venue.
Visibility score measures how prominently the audited brand appears in unbranded AI responses on a 0–100 scale. This provides context for what marketing conference visibility looks like across engines when real marketers ask AI for recommendations.
The overall average visibility score is 23.4 out of 100. All four engines show strong brand visibility (18.7–27.1) with mention rates of 24.7–37.5%. OpenAI has the highest mention rate (37.5%) while Gemini delivers the highest visibility score (27.1), indicating Gemini provides more prominent positioning when it does mention the brand.
We went into this study with six hypotheses about how AI engines would treat marketing conference recommendations. Here's how each held up against 8,068 AI queries.
8,068 AI queries across 4 major engines, executed Feb 25 – Apr 15, 2026 on the AIVO Research Engine.
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