Original insights by Aleyda Solis
30-second rundown
Key learnings:
- What changed: AI search optimization now has widespread budget and ownership, but most teams still cannot connect visibility reliably to revenue.
- What works: Teams report the strongest AI Search results from answering more relevant questions, improving page accessibility, and structuring content so information is easier to retrieve.
- What to do: Measure AI discovery using several signals together, because most customer journeys influenced by LLM answers are ultimately attributed to direct traffic or branded search.
This week: List what you currently report for brand visibility, mentions and citations in AI answers; website traffic referred by AI platforms; branded-search traffic; and leads, conversions and revenue attributed to AI search. Mark which are observed versus inferred, remove any unsupported revenue claim, and leave one page showing the evidence gaps that need fixing.
Coming 3 months: Build an automated weekly workflow that captures AI mentions, citations, AI assistant referral sessions, branded search volume, and assisted conversions in one dashboard. Give one owner responsibility for investigating meaningful changes and publishing a monthly evidence note that separates observation from inference.
Aleyda Solis surveyed 171 search professionals in 36 countries and found an industry flooring the accelerator while the dashboard flickers like a motel sign in a dust storm. AI search optimization now has budgets, owners, and strategies, but measurement is still riding in the trunk.
1. The Money Became Real Before the Proof Did
AI search has crossed from curiosity into funded work. Sixty-nine percent of respondents now have budget allocated, up from 38% in 2025, while 75% have a dedicated strategy for at least some sites and 92% track visibility or citations. Most companies got a department before anyone found a clean receipt.
2. The Old Fundamentals Still Move the Needle
The most commonly credited gains came from expanding useful topic coverage, improving crawlability, and restructuring pages so answers are easy to retrieve. Good technical access and content with clear answers to user queries beat novelty theater. AI agents now help with research, clustering, analysis, and rewriting, but the survey does not turn automation into evidence.
3. Attribution Is the Body in the Desert
Only 5% reported significant business impact, 35% could not tell what AI search contributes, and 46% placed its revenue share between zero and 5%. Visibility needs to be assessed alongside branded-search traffic, returning direct visits, conversions, and customer self-reporting, as customers who discover a brand through an AI answer may return later through another channel. A neat citation count alone is a polished dashboard nailed over a hole in the floor.
The survey is not proof that any single tactic causes revenue, because it records practitioner experience rather than controlled experiments. It is still a hard map of where the industry stands: money is moving, the basics work, and measurement remains the animal chewing through the wiring.
