Guide
Running a 30-Day AEO Audit
A four-week sequence that establishes a baseline, finds the real bottleneck, and ships enough change to prove the channel is worth funding.
Answer Engine Optimization
Guides, research and tool comparisons for the practice of making your content the source an AI assistant reaches for. Written for people with a prompt set, a backlog and a report due.
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Nine causes explain almost every citation failure: blocked crawlers, client-side-only rendering, bot mitigation, buried answers, duplicate coverage splitting your authority, thin corroboration, stale or wrong facts, an aggregator occupying your ground, and agent-hostile pages. Diagnose them in that order, because it is roughly the order of both likelihood and cheapness to fix.
Guide
A four-week sequence that establishes a baseline, finds the real bottleneck, and ships enough change to prove the channel is worth funding.
Guide
Structured data was always about making meaning machine-readable. That mattered moderately for rich results. It matters more when the machine is composing an answer.
Guide
The least glamorous part of AEO and reliably the highest-yield. If an AI crawler cannot fetch and read your page, nothing else you do matters.
Guide
A small file with a large amount of hype attached. Here is what it is for, which engines appear to use it, and why it is not a ranking lever.
Every tool assessed against the same 23-point capability matrix. Where we could not verify a capability publicly we mark it undocumented rather than absent — see methodology.
Editor’s choice
Be the brand AI recommends.
Best for: Teams that want the diagnosis and the fix in one place, at a price a single marketer can sign off.
Brand mentions across AI answers.
AI visibility inside a full SEO suite.
Brand presence measurement across AI models.
protocol
A replicable study design for measuring citation rate with defensible error bars. Published as a protocol so results can be compared rather than asserted.
synthesis
A synthesis of published pricing across ten AEO platforms, showing a 17x spread between entry tiers and a mid-market band where capability and price have decoupled.
analysis
Across ten platforms we track, only one documents having an agent attempt real tasks on a site and report where it fails.
analysis
A 17x spread between entry tiers, and a mid-market band where price has stopped predicting capability.
analysis
Vendor marketing increasingly treats llms.txt as a ranking factor. No major engine provider has publicly confirmed using it as a retrieval input.
We publish practitioner writing, corrections and data — including findings that contradict ours. Original, sourced and specific beats long.