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Answer-Engine Optimization
Engineer your brand into the answers buyers receive from AI, so the model understands, trusts, and cites you.
14-day pilot · no credit card · no percentage of ad spend
Why teams run it
A growing share of buying journeys now start — and sometimes end — inside an AI assistant. If the model doesn’t know your brand, you’re invisible at the exact moment of intent. AEO fixes that.
Entity engineering
iqads maps how answer engines understand your category, finds where your brand is missing or misrepresented, and engineers the structured content, entities, and citations that make models recommend you with confidence.
Measure what was invisible
See exactly how often, and how favorably, your brand appears across the major engines for the prompts that matter. Monitor citations, answer share, and sentiment over time — and watch them climb as AEO takes hold.
How it works
See how every major engine answers the prompts your buyers ask.
Optimize entities, content, and citations the models rely on.
Ship structured, citable content the engines can trust.
Track answer share and sentiment, and defend your queries.
Capabilities
Map and target the real questions buyers ask AI in your category.
Strengthen how knowledge graphs and models understand your brand.
Earn the references models cite when they recommend a solution.
Move not just whether you appear, but how favorably.
Coverage across the major assistants, not just one.
Reinforces classic search while you win the answer box.
The results
3.4×
61%
5
100%
Illustrative figures from pilot deployments. Your results will vary.
Old way vs iqads
| Workflow | Without iqads | With iqads |
|---|---|---|
| AI visibility | Invisible or misquoted | Cited and recommended |
| Measurement | No idea what models say | Answer share tracked per prompt |
| Content | Written for crawlers only | Structured for models to cite |
| Defense | Competitors quietly win queries | Alerts when share shifts |
“We didn’t even know buyers were asking AI about our category until iqads showed us the answers. Three months later, we’re the one the models name.”
FAQ
It’s the practice of making AI assistants understand, trust, and recommend your brand — the way SEO did for search results, but for generated answers.
The major AI assistants and answer engines, with coverage expanding as the landscape evolves.
SEO targets ranked links; AEO targets the synthesized answer itself — the entities, citations, and content models draw on. They reinforce each other.
Yes — track answer share, citation frequency, and sentiment per prompt over time, with alerts when competitors move.
Engineer your brand into the responses AI gives buyers at the moment of intent.