Report: 91% of AI Citations Live on Just One Platform

The Number That Matters

Kevin Indig's AI Halftime Report, H1 2026, published via Search Engine Journal on August 8, found that 91% of AI citations show up on only one platform. If your team tracks visibility on a single AI engine, you are almost certainly missing where the other citations actually live.

Indig's research also found that roughly three out of four consumers pick the top result in an AI shortlist, unless a brand they already trust appears anywhere else on that list, in which case they pick the trusted name instead. Trust, in other words, is now a ranking factor readers feel directly in their own results.

When Sentiment Outruns Fundamentals

Software stocks fell close to 30% over the first half of 2026, and the decline tracked almost entirely with how the market perceived a company's exposure to AI disruption rather than with actual performance. The bottom quartile dragged the sector down while the median and top quartile outperformed the broader ETF, which is a story about narrative, not fundamentals.

Layoffs followed the same pattern. Challenger, Gray & Christmas found AI cited as the reason behind more than 87,000 job cuts through May, though the report treats that figure as a narrative racing ahead of proof rather than confirmed cause. For a rundown of models that actually hold up under scrutiny, see our comparison of attribution models for 2026 budgets.

What To Check This Week

If your team leans on one AI engine for share-of-voice reporting, that 91% figure is a warning: single-engine tracking is functionally single-source bias. Broaden citation checks across platforms this week, and pair that with a SERPWatcher rank tracker if you need a quick way to see where visibility actually splits. The IAB's new AI search visibility measurement framework is also worth a read before H2 budget conversations lock in numbers nobody can defend.