An AEO audit is a baseline of how answer engines recommend you — not a Google ranking report. Profound's 2026 AEO guide says the first pass covers visibility, citations, opportunities, objections, and platform splits. Scope already runs that from a URL: a score across ChatGPT, Claude, Gemini, and Perplexity, cited sources, competitors who appear instead, and a scored action plan. We do not claim AI-referral traffic or a 1.5-billion-prompt index.
What is an AEO audit?
An AEO (Answer Engine Optimization) audit is a systematic read of how AI systems describe and recommend your business when someone asks a buying question.
It is not a technical SEO crawl. It is not a Google Business Profile checklist. And it is not a one-off ChatGPT screenshot from the CEO.
Profound's public AEO Guide, Chapter 4 (read 2026-08-26) defines the first audit as a baseline across:
- Discovery visibility — do you show up when someone is exploring solutions?
- Citations — which sources is the engine reading?
- Opportunities and objections — where you underperform, and what negative themes recur
- Platform splits — how the picture changes by engine
- AI traffic / agent analytics — referral and bot traffic attributed to answer engines
The first four are a product Scope already ships. The last one is a Profound product surface we do not claim.
Google SEO still matters here. Answer engines retrieve pages to build answers, so every dollar in technical SEO, content, and links still pays forward. The audit measures the recommendation layer that sits on top of that work. See GEO vs SEO.
What do buyers already get from a Scope scan?
This mapping is from Scope's live product on 2026-08-26 (free AI visibility checker, dashboard, Monitor, Citations, Industry, Optimize, and Scope MCP) read against Profound Chapter 4.
| Profound Ch. 4 component | What Scope already runs | Honest limit | | --- | --- | --- | | Discovery visibility | 0–100 visibility score; mentioned / strong / partial / weak / missing per prompt | Four engines: ChatGPT, Claude, Gemini, Perplexity | | Citations | Domain + URL, source type, per-engine badges on tracked prompts | Sources those engines cited on your prompts — not a web-wide index | | Opportunities | Competitors who appear instead; share of voice; answer gaps (on some engines, not all) | Opportunity = low visibility or a competitor win, not Profound's attribute taxonomy | | Objections / sentiment | Mention quality plus review sentiment in cited sources | No dedicated “objection theme” report | | Platform / model analysis | Platforms page and per-engine detection | Four engines, not every model variant | | Agent analytics / AI traffic | Not a Scope product claim | We do not attribute ChatGPT or Perplexity referral traffic | | Accuracy testing vs a spec sheet | Not a Scope product claim | We do not ingest your SKU sheet and fact-check answers against it | | Prompt volumes (1.5B queries) | Not a Scope product claim | You track your prompts; we do not sell a query-volume index |
The free scan is a one-time pass: 5 prompts × 4 engines, then a score, top competitors, and citation gaps. Paid Scope adds up to 100 prompts per business, daily monitoring, the Citations and Industry views, a scored action plan, and MCP tools so Claude, ChatGPT, or Cursor can pull the same baseline.
That is the first AEO audit buyers already get. It is not a clone of Profound's scanner UI, and it is not a local-listing punch list.
What does Profound document that Scope should not claim?
Profound's guide is a strong description of an AEO program. Several of those chapters describe Profound features, not a universal checklist.
Do not expect these from Scope today:
- Prompt volumes from 1.5 billion user queries. Profound sells that data. Scope builds a coverage set of customer-style prompts for your business and re-runs them.
- AI referral / agent traffic. Chapter 4's “agent analytics” layer is not in Scope. If you need bot-log attribution, keep your analytics stack; do not treat a Scope score as sessions.
- Accuracy testing against a source of truth. Profound describes pasting specs, pricing, and integrations, then flagging factual drift. Scope captures verbatim answers and mention quality. It does not certify that every spec in an answer is true.
- A dedicated objections dashboard. We surface weak or missing mentions and review sentiment in cited sources. We do not cluster “AI says you only fit small teams” as a named objection stream.
- Shopping AEO. Out of scope for this page and for the current product.
Those are honest gaps, not a ranking. Teams that need enterprise prompt-volume panels and legal review still evaluate Profound; the Scope vs Profound page is the product compare. This page is the audit claim.
How is an AEO audit different from an SEO audit?
An SEO audit asks whether Google can retrieve and rank your pages. An AEO audit asks whether an answer engine will name you after it has retrieved whatever it retrieved.
| | SEO audit | AEO audit (what Scope runs) | | --- | --- | --- | | Unit | Rankings, indexation, crawl | Mentions, citations, share of voice | | Output | Blue-link list | A synthesized recommendation | | Failure mode | You don't rank | You show up and still lose the recommendation | | Primary tools | Search Console, crawlers, rank trackers | Prompt runs across ChatGPT, Claude, Gemini, Perplexity | | Still required | Yes | Yes — retrieval is an input |
You can pass a technical SEO audit and still be absent from “best [category] for [use case]” answers. You can also be cited from a third-party review the SEO team never owned. That third dimension — associations built from sources you do not manage — is why the AEO audit exists alongside SEO, not instead of it.
Keep GSC, your crawler, and your content program. Use Scope for the recommendation layer. Scope MCP is built so an agent can pull both: Search Console for Google, Scope for AI answers.
Which prompts should you track first?
Profound's Chapter 3 (“Promptologie”) is right on one operational point: you cannot track every phrasing, and you should not try. Coverage beats volume.
Scope's prompt monitoring is built around three buyer intents, not six Profound taxonomies:
- Discovery — “best [category] in [place / for use case]”
- Comparison — “[you] vs [competitor]”
- Decision — “should I choose [you]?” / “who is [you] best for?”
Those map cleanly to what the product stores: mention quality, competitor names, and citations per engine.
What we do not auto-classify as first-class prompt types:
- Validation (“Does [brand] offer X?”) — you can add it as a custom prompt; Scope does not label it separately from discovery.
- Accuracy / fact-check — custom prompt, not a spec-sheet matcher.
- Market-perception / category framing — useful strategy work; not a named Scope report.
Start with the discovery set that matches how you actually win deals. Add comparison prompts for the two or three names that already appear in answers. Add decision prompts only after discovery is readable. That is enough for a first audit.
How do you turn the audit into an action plan?
Profound Chapter 5 splits work into on-page (your site) and off-page (consensus elsewhere), then routes:
- Comprehension problems → content
- Trust problems → corroboration
- Objections → reframe in both places
Scope's Optimize page is the honest version of that routing for the signals we actually measure. Recommendations come back tagged as FAQ content, schema markup, comparison content, authority citations, entity clarity, and technical content — with high-impact / medium / quick-win labels. The Optimization Agent can walk a step; it does not publish to your site.
A practical first week:
- Run the free checker.
- Note engines where you are missing entirely.
- Open citation gaps — directories and review sources competitors have that you do not (citation tracking).
- Fix entity and schema on pages Google already ranks. That work helps retrieval and answers.
- Re-run tracked prompts. Visibility is the leading indicator; do not wait on a new “AI traffic” channel in GA4 before acting.
If you already have a weekly SEO standup, add one Scope artifact to it: score, platform split, top citation gap, top competitor win. That is an AEO program at team scale without renaming the org chart.
Frequently asked questions
Q: What is an AEO audit?
A: An AEO audit is a baseline of how answer engines recommend your business: whether you are mentioned, which sources are cited, who appears instead, and how that split looks across ChatGPT, Claude, Gemini, and Perplexity. Scope runs that baseline from a URL. It is additive to an SEO audit, not a replacement.
Q: Does a Scope scan count as a first AEO audit?
A: Yes, for visibility, citations, opportunities, and platform splits. The free scan covers 5 prompts across 4 engines. Paid monitoring extends that to your prompt library, history, share of voice, and a scored action plan. It does not include AI-referral traffic or Profound-style prompt-volume data.
Q: Do I still need SEO if I run an AEO audit?
A: Yes. Answer engines retrieve pages to build answers. Technical SEO, content, and links still determine whether you are eligible to be cited. Scope measures the recommendation layer on top of that work. Keep Search Console; add Scope.
Q: What should I not expect Scope to measure?
A: AI referral or agent traffic, a 1.5-billion-query prompt index, shopping AEO, and automated fact-checking of your spec sheet against model answers. Those are documented Profound program pieces, not current Scope claims.
Q: How is this different from the AI visibility audit checklist?
A: The older checklist is a local-listing and schema punch list. This page is the answer-engine audit: prompts, mentions, citations, competitors, and platform splits. Use both if you run a local business; do not treat GBP photos as a substitute for prompt-level visibility.
Q: How often should I re-run an AEO audit?
A: After the first baseline, Scope re-runs tracked prompts on a schedule so you are not sampling one chat window. Re-read the full baseline when you ship a major site or positioning change, or when a competitor's share of voice jumps. Weekly is enough for most teams; daily monitoring is the product, not a new project.