This is a ready-to-use checklist for auditing your brand’s Answer Engine Optimization. Work through each section, mark items done or not, and turn the gaps into your action plan. For the full methodology behind it, see the AI visibility audit guide.
1. Query set & baseline
- [ ] Documented 30–50 target queries across awareness, comparison, and use-case tiers
- [ ] Ran each query across ChatGPT, Perplexity, Google AI Overviews, Claude, and Copilot
- [ ] Used a clean, logged-out session and ran each query at least twice
- [ ] Recorded presence, position, sentiment, accuracy, citations, and competitors for each
- [ ] Calculated baseline impression rate, average position, accuracy rate, and share of voice
2. Presence & positioning
- [ ] Identified queries where you’re entirely absent
- [ ] Identified queries where you’re only “listed” but competitors are first/prominent
- [ ] Mapped which competitors appear most often in your absence
- [ ] Tagged high-intent commercial queries as top priority
3. Accuracy & brand safety
- [ ] Fact-checked every brand mention against current reality
- [ ] Flagged outdated pricing, deprecated features, or wrong positioning
- [ ] Flagged any confusion with a competitor or similarly named brand
- [ ] Logged any harmful or hallucinated claims as urgent
4. Technical readiness
- [ ]
robots.txtallows relevant AI crawlers (GPTBot, PerplexityBot, ClaudeBot, Googlebot) - [ ] Key pages are crawlable, fast, and not behind logins/paywalls
- [ ] Sitemap is current and submitted
- [ ] Relevant structured data is present (Organization, Product, FAQPage, etc.)
- [ ] Consistent canonical URLs; no fragmenting duplicates
5. Content & citability
- [ ] Top pages answer the target question in the first 1–2 sentences
- [ ] Headings are written as statements, not vague topics
- [ ] Pages include specific, attributable facts and data
- [ ] FAQ sections exist for high-intent topics (with FAQPage schema)
- [ ] Cornerstone pages are fresh (recent updates) — see content freshness
- [ ] On-page basics covered — see the on-page AEO checklist
6. Authority & entity
- [ ] Brand name, category, and key facts are consistent across the web
- [ ] Entity is well-defined (structured data + trusted reference presence)
- [ ] Reputable third-party coverage and corroborating mentions exist
- [ ] Original research/data published that others can cite
7. Prioritize & plan
- [ ] Brand-safety fixes scheduled first
- [ ] High-intent commercial gaps prioritized next
- [ ] Positioning upgrades and long-tail coverage queued
- [ ] Re-audit cadence scheduled (monthly full + biweekly spot checks)
Check section 4 against the primary source, not from memory
Section 4 is the only part of this checklist with an objective right answer, and it is the one most often failed on a stale assumption. Read your robots.txt against RFC 9309, the specification that defines how a compliant crawler resolves conflicting rules. The rule that catches people: the most specific user-agent group wins outright, so a group naming GPTBot replaces the * group rather than adding to it. Teams add an AI-specific block and silently drop every global Disallow they had set — or add an Allow that never applies because a more specific group elsewhere in the file is the one being read.
So don’t tick this box from what you believe the file says. Fetch it, find the group that actually applies to each named agent, and write down what you found.
One run is a sample, not a measurement
The same prompt asked twice can name different brands. Engines sample from a distribution, carry session context, and vary by region, so a single absent result is not evidence you are absent — it is one draw. That is why step 1 asks for at least two runs per query from a logged-out session, and why the re-audit cadence in step 7 matters more than the first pass ever will.
Budget the manual version honestly before you commit to it: 40 queries × 5 engines × 2 runs is 400 lookups per audit, which is the point most teams quietly stop doing it monthly. Multi-engine monitoring runs that same matrix on a schedule and keeps the history, so the checklist becomes a trend line rather than a spreadsheet abandoned in March.
Turning the checklist into action
Every unchecked box is a task. Group them by the three levers — content, authority, technical — and sequence by impact using how to build an AEO strategy. Re-run this checklist on a schedule so it becomes a trend line, not a one-time snapshot.
Frequently Asked Questions
What should an AEO audit checklist include?
It should cover your query set and baseline metrics, presence and positioning gaps, accuracy and brand safety, technical readiness (crawlability and schema), content citability, and authority/entity signals — ending with a prioritized action plan.
How often should I run an AEO audit?
Run a full audit monthly against the same query set, with biweekly spot checks on your highest-priority queries and event-triggered checks after launches, pricing changes, or major press. Trends over time matter more than any single snapshot.
What’s the most important part of an AEO audit?
Fixing brand-safety issues (inaccurate or harmful claims) comes first because they affect every user. After that, prioritize high-intent commercial queries where competitors appear and you don’t.
How is this different from an SEO audit?
An SEO audit focuses on rankings, keywords, and traffic. An AEO audit focuses on whether you appear in AI answers, how prominently, how accurately, and across which engines — plus AI-specific factors like crawler access, citability, and entity clarity.