HIGH SALIENCE / RESEARCH
We don't repeat search theory. We test it.
Original studies into how search engines and AI systems select, cite and recommend brands. Every study follows the same discipline: claim, evidence, methodology, data, limitations, conclusion.
The AI Search Agency Landscape 2026.
The agencies selling GEO, AEO and AI SEO, compared on what they actually publish: specialization, disclosed pricing, proprietary research, documented results and methodology transparency. High Salience is included and the publisher is disclosed.
1,000 commercial SaaS queries across ChatGPT, Gemini and Google AI Mode.
Which brands get recommended, which sources get cited and how much the three surfaces disagree. The methodology is published ahead of the results; findings appear when the benchmark has run.
The 100 domains influencing enterprise software recommendations most frequently.
A citation census across AI surfaces: which third-party domains keep shaping the answer, and how concentrated the influence really is.
Does ranking in Google predict citation in AI answers?
Correlation between classic organic position and AI citation across a controlled query set. The answer is less obvious than either camp claims.
Why we publish
Research is the moat.
Client work produces evidence. Evidence produces studies. Studies produce citations, links and the trust of the people and systems that shape categories. That flywheel is how High Salience earns the authority we build for clients, and it's why our AI search optimization and AEO strategy work runs on tested findings instead of borrowed theory.
Journalists and analysts: every study includes methodology and, where possible, a downloadable dataset. If you need something clarified before citing, ask.
The Edge
The edge is decision latency.
Search changes continuously. The firms relying on public consensus learn what happened after everyone else has already read the same analysis.
High Salience is built to shorten that gap. We monitor markets, preserve historical evidence, compare winners against losers, test hypotheses and feed what survives back into strategy.
The objective is not more SEO information. It's getting to the correct commercial decision earlier.