73 percent of marketers now prioritise content optimised for AI generated answers, according to the IAB 2026 Outlook Study. Microsoft Advertising's response is a framework that reframes brand control entirely.
The central idea: you cannot manage AI search outputs directly. You can only manage the inputs. Microsoft's framing has three levers, See, Steer, and Prove.
See: transparency over what AI surfaces show
The first lever is visibility. Brands need to know where content appears, why AI systems are surfacing it, and how inputs shape performance.
Without that visibility, optimisation becomes guesswork. Microsoft's specific recommendation in this area is hitting at least 30 conversions within 30 days. That volume is what gives the AI system enough data to optimise meaningfully.
For most advertisers, this changes how new campaigns get structured. A test that runs at low volume for weeks without conversion data is not optimising. It is starving.
The practical implication for Microsoft Advertising campaign builds is to consolidate budget into fewer well measured tests rather than spreading it thin across many small ones.
Steer: conversion signals and feed quality
The second lever is steering through inputs. Rather than micromanaging every output, brands should maintain rigorous feed hygiene.
The components Microsoft calls out:
- Consistent formatting across product and content feeds - Complete attributes with no missing fields - Accurate categorisation that maps to taxonomy - Machine readable signals across pages
There is a specific framing in the article that is worth pinning. Microsoft calls it red lines over hard targets. Set guardrails around unacceptable content rather than dictating every acceptable option.
This is a meaningful shift for teams used to managing search through hard match types and rigid creative templates. The control model has changed. Guardrails inform the AI, then the AI optimises within them.
For ecommerce advertisers, this means feed quality is no longer just an SEO concern. It is the primary lever for AI search performance.
Prove: measurement and cross platform feedback
The third lever is measurement. Cross platform measurement has risen from 64 percent to 72 percent year on year among advertisers.
That growth matters because measurement is the feedback loop. AI systems learn from conversion data. The measurement infrastructure is what closes the loop between input and output.
Microsoft's framing here is about accountability. Cross platform measurement creates the evidence base that justifies investment and feeds the optimisation engine.
For advertisers using Microsoft Advertising alongside other paid channels, the cross platform measurement piece is what makes Microsoft's contribution legible to performance teams using GA4 or other unified reporting.
What practitioners should do this quarter
The See, Steer, Prove framing translates into three concrete priorities.
First, run a data quality audit. Look at feed completeness, attribute coverage, and categorisation consistency. Microsoft's framing suggests this is where most performance is currently leaking.
Second, set up red line guardrails. Identify the content, claims, and creative directions that are unacceptable for the brand. Document them. Then let the AI optimise within those constraints rather than dictating every campaign asset.
Third, fix the measurement stack. Cross platform measurement is what turns AI search from a black box into a controllable system. Microsoft Advertising's contribution gets undercounted in last click setups, so the measurement layer is where AI search investment proves its value.
For agencies and brands testing Microsoft Advertising as a specialist channel, the practical takeaway is that AI search performance is downstream of input quality. The accounts winning right now are the ones with cleaner feeds, tighter guardrails, and better measurement infrastructure.
The advertisers treating AI search as something to react to are losing ground every quarter. The ones treating it as an input optimisation problem are pulling ahead.
This insight is based on content originally published on the Microsoft Advertising Blog, rewritten with added context and perspective by Scepter Digital.
