AEO — be the answer, not the link
Search is shifting from blue links to synthesized answers. AI Overview, ChatGPT search, Perplexity, and Claude search cite a small set of sources. AEO is the discipline of being one of them. Verbatim PAA matching, JSON-LD audited per route, citation-graded research, per-engine tracking. We measure by citations earned and pipeline attributed, not vanity rank.
You stop renting clicks. You start being the answer.
AEO pulls forward what good SEO already does (credibility, schema, semantic clarity) and adds the AI-engine-specific levers that classic SEO stacks miss.
Verbatim PAA matching
For every commercial query, we ensure People-Also-Ask questions appear verbatim as FAQ entries. Fuzzy paraphrase forfeits the citation; exact match wins it.
JSON-LD audited per route
FAQ, HowTo, Article, Product schema validated on every build. Drift between your schema and what AI engines parse is the silent failure mode most teams miss.
Citation-graded grounding
Numbers come from named operator threads on Reddit, X handles, Substack/Medium operator essays. AI engines weight cited primary sources higher than vendor marketing.
Per-engine citation audit
Top 30 commercial queries run through Google AI Overview, ChatGPT search, Perplexity, and Claude search. Map who gets cited where, query by query.
Operator-grade content shape
Hooks anchored in verified claims, not invented numbers. Tables and structured comparisons. The shape AI engines preferentially cite over thin listicles.
Inbound attribution wiring
AEO's strongest pipeline contribution is "I asked ChatGPT and they mentioned you." We wire that into your inbound source field so you can see the lift directly.
How we build the citation moat
AEO compounds: every citation reinforces the model's implicit ranking of your domain. Five steps, run on a quarterly cycle.
Citation audit
Run your top 30 commercial queries through 4 AI engines. Map who gets cited per engine, per query. The pattern shows where you already have authority and where competitors own the answer.
- ·4-engine citation map
- ·Top 30 query coverage
- ·Competitor benchmark
- ·Loom walkthrough
PAA verbatim coverage
Pull People-Also-Ask questions verbatim from the SERP for every target keyword. Verify each one has a matching FAQ entry. Rewrite or add where needed.
- ·PAA gap map
- ·Verbatim FAQ rewrites · 8–12 entries
- ·Coverage scorecard
Schema + structured data
JSON-LD per route validated automatically on every build. FAQ, HowTo, Article, Product schemas added where missing. Drift detection blocks broken schema from shipping.
- ·JSON-LD audit · per route
- ·Schema fixes · all flagged routes
- ·Postbuild drift gate wired
Operator-grade grounding
Replace vendor-marketing claims with citations from Reddit, X, and operator Substack. Every numerical claim mapped to a verified source. AI engines weight this far above generic content.
- ·Source-grounded rewrites · cornerstone pages
- ·Citation ledger per page
- ·Verifiable claim audit
Per-engine track + iterate
Weekly automated checks across all 4 AI engines. Below threshold → patch the section that lost the citation. Above → study what worked, replicate.
- ·Weekly per-engine report
- ·Patch queue · prioritized
- ·Quarterly review + replan
AI search is taking the click
Google's AI Overview already shows on a meaningful share of informational queries. Click-through to organic listings drops sharply when the AI box answers the question. The traffic shape is changing — fewer but higher-intent clicks, plus a new "I asked AI and they cited you" inbound channel that doesn't show up in classic analytics.
AEO engagements we've run
Names anonymized. Citation counts measured weekly across 4 AI engines. Inbound attribution from "I asked AI" claimed only where call-recording disclosure was clean.
AI SDR category · 67 ChatGPT cites/mo
Restructured 38 cornerstone pages for verbatim PAA + JSON-LD audit. ChatGPT cites the cluster 67 times/month, Perplexity 22 times/month within 2 quarters.
AI Overview citation · 14 commercial queries
Mapped + closed 18 PAA verbatim gaps across cornerstone Knowledge cluster. Now cited in AI Overview on 14 of their top 20 commercial queries.
Schema fix · 240 product pages
Audited 240 product pages — 60% had broken Product schema. Fixed all + added FAQ schema per category. Rich results coverage went from 12% → 89% in 4 weeks.
Programmatic FAQ · per-niche citation pickup
Built programmatic FAQ pages for 240 ICP × use-case combos using verbatim PAA. Indexed in 6 weeks; cited by Perplexity within 9 weeks across 31 niches.
Honest scope — and who shouldn't engage
AEO compounds best when you already rank for your terms — it's the citation layer on top of working SEO. Here's the line.
- You already rank top 10 for some commercial queriesAEO converts existing organic strength into AI-engine citations. The PAA matching + schema + grounding work needs a content base to build on.
- You sell into operators / B2B / considered DTCAI engines are doing more of the buyer education. AEO is highest leverage where buyers research before purchasing.
- You've already shipped FAQ + structured dataAEO builds on schema. If you have 0 schema today, the SEO audit comes first; AEO follows.
- You can ship 4+ pieces of cluster content per monthCitations compound on cluster authority. AEO on a thin site is paying for citations the model can't parse to context.
- You measure by pipeline, not vanity rankAEO pipeline is "I asked AI about X, they recommended you" — different attribution shape. Need to track inbound source disclosure.
- You're not ranking for anything yetAEO is the citation layer. Without organic foundation it has nothing to amplify. Run SEO first; AEO 6 months in.
- Your AOV is under $200 with no LTVAI-cited inbound converts well but is lower volume than paid. Math needs deal value to support the audit + ongoing schema work.
- You don't track inbound source attributionAEO's strongest pipeline contribution is "I asked ChatGPT about X." If sales doesn't ask + log this, you'll never see the lift.
- Your content stack can't be editedAEO requires editing existing content for verbatim PAA + schema. If your CMS or stack blocks edits at scale, fix that first.
AEO engagements
AEO compounds quarter over quarter. Most teams start with the audit, then move to a retainer once the gap map is clear.
Citation audit across 4 AI engines + JSON-LD audit + PAA gap map. The fastest way to see what's converting and what's leaking.
- ✓4-engine citation audit
- ✓PAA verbatim gap map · top 30 queries
- ✓JSON-LD validation per route
- ✓Competitor citation benchmark
- ✓90-day AEO roadmap
- ✓Loom walkthrough
Ongoing AEO maintenance + per-engine tracking. PAA gap closing, schema fixes, citation drift detection. 6-month minimum.
- ✓Weekly per-engine citation tracking
- ✓PAA gap closing · 8–12 entries/mo
- ✓JSON-LD audit + fix
- ✓Citation drift alerts
- ✓Monthly attribution report
- ✓6-month minimum
Combined organic + AI citation play. Aggressive cluster build with AEO baked in from day one. 12-month minimum.
- ✓20+ pieces / month with AEO baseline
- ✓Programmatic + cluster build
- ✓Per-engine attribution build
- ✓Weekly working sessions
- ✓Custom AEO research
- ✓12-month minimum
Questions before we start
Be the answer, not the link
AI engines pick a small set of sources to cite. Position your content to be in that set on the queries that drive your pipeline.