§ AEO · B2B · BUYER JOURNEY
AEO · GEO · AI SEARCH

Answer Engine Optimization for B2B.

~55% of B2B buyers now research inside AI assistants before Google (Gartner, 2025). B2B AEO targets the vendor-comparison + buyer-journey + RFP-content surfaces that LLMs preferentially cite during the consideration phase.

~55%
B2B BUYERS USE AI BEFORE GOOGLE
14/20
CITED COMMERCIAL QUERIES (CASE)
90 d
TYPICAL CITATION-LIFT WINDOW
30%+
CITATION SHARE TARGET
8 wks
AEO SPRINT WINDOW
§ 01
WHY AEO IN B2B

Three reasons B2B brands ship AEO with us.

Buyer-journey mapped surfaces

B2B buying has 7+ touch-points before the demo. AEO maps each touch-point (definition → comparison → ROI → RFP → references) to a distinct content surface, each schema-coded, each cited by AI engines at different stages.

Vendor-comparison rebuilds

Comparison pages with honest tradeoffs outperform brand pages 3–5× in AI-engine citation rate. We rebuild yours against your actual competitive set with structured Q&A + outbound sources.

RFP-ready citation surfaces

RFP responses now happen partly inside AI assistants. Pre-build RFP-answer surfaces (structured Q&A on security, compliance, integrations, SLAs) — they become the citation source when buyers run AI-assisted RFP research.

§ INDUSTRY
CONTEXT

What AEO for B2B actually means in 2026.

~55% of B2B buyers now research inside AI assistants before Google (Gartner, 2025). B2B AEO targets the vendor-comparison + buyer-journey + RFP-content surfaces that LLMs preferentially cite during the consideration phase.

BENCHMARKS

B2B AEO benchmarks — vs top-quartile.

METRIC
CATEGORY MEDIAN
TOP-QUARTILE
SOURCE
AI citation density (B2B category)
5–15%
40%+
OUR ATHENAHQ DATA
Comparison-page traffic share
5–15%
30%+
B2B AGGREGATE
Time to first AI citation (B2B)
12–24 wks
4–8 wks
OUR DATA · n=18
Schema graph completeness (B2B)
40–60%
90%+
OUR AUDIT DATA
Author-bylined content vs generic
2–3× lift
4×+
OUR ENGAGEMENT DATA
RFP-content citation surface coverage
<20%
70%+
OUR ENGAGEMENT DATA
§ PITFALLS
PITFALLS

Common B2B AEO mistakes — and what to do instead.

COMMON MISTAKE
DO THIS INSTEAD
Generic "we partner with you" marketing copy
Specific buyer-journey-mapped content. Each touch-point gets its own schema-coded surface.
Anonymous case studies with no methodology
Case studies with baseline + result window + attribution method. B2B buyers verify methodology before citing.
No competitor comparison pages
Build 3–5 honest comparison pages. Buyers research via AI assistants ask about alternatives — be the surface they cite.
Anonymous "Marketing Team" bylines on thought-leadership
Named expert authors with Person schema + LinkedIn + credentials. E-E-A-T is the B2B citation prerequisite.
Gated content as the citation surface
AEO surfaces are public; gated content is for lead capture. Separate the two layers.
Skipping LinkedIn company schema bridge
LinkedIn company entity in sameAs is critical for B2B brand-entity recognition.
§ 04
B2B AEO FAQ

Common B2B AEO questions.

How long does AEO for B2B take to drive measurable impact?+

For B2B specifically, the citation-lift curve typically inflects at 6–8 weeks (audit + rebuild ship + schema + llms.txt + entity bridges done) and compounds over 90–180 days. Measurable lift signals: AI-engine citation share rises from <10% to 25–40% in named-category queries (tracked via Profound / AthenaHQ / Otterly); branded search volume rises 20–40% in 90 days as consideration loading translates to direct brand queries; demo-request rates from organic rise 15–35% in 120 days. The compounding flywheel: AI citations drive branded search → branded search converts at 2–3× non-branded → conversion data feeds back into bid models → paid efficiency improves. B2B AEO is a 6-month compounding play, not a 30-day sprint.

What does an AEO audit actually deliver?+

A 30–40 page diagnostic covering: (1) current citation share across ChatGPT, Perplexity, Claude, Gemini, Bing Copilot for your 20 priority commercial queries; (2) schema graph audit (Organization, Person, Service, Article, FAQPage, Speakable, ItemList, Review where applicable); (3) entity-graph density (sameAs cluster, Wikipedia / Wikidata adjacency, mentions audit); (4) llms.txt + ai.txt status; (5) competitor citation analysis — who in your category is getting cited and why; (6) ranked Top-10 fix list by AI-citation-share impact. Delivered as PDF + structured Notion doc. $1,199 USD, 2-week turnaround.

How is AEO measured?+

AEO measurement requires citation-tracking tools (Profound, AthenaHQ, Otterly, Brand24) — not traditional SEO rank trackers. The primary KPI is citation share per priority query, tracked across 5 engines (ChatGPT, Perplexity, Claude, Gemini, Bing Copilot). Secondary KPIs: branded search lift (Google Search Console), AI-referred traffic (where engines pass referrer), conversion rate from AI-referred sessions. We instrument all of this in week 1; baseline is reported in the audit; lift is reported weekly via Loom.

Will AEO hurt traditional Google SEO?+

No — they share infrastructure. Schema engineering, entity SEO, lastReviewed metadata, named-author E-E-A-T, llms.txt — all of these benefit Google SEO as much as AEO. The work is additive. Some legacy Google SEO tactics (keyword density chasing, hard-link campaigns) do not benefit AEO; we drop those. The net effect on the typical engagement: organic Google traffic +15–35% in 90 days alongside the AEO citation lift.

What's the minimum AEO engagement for B2B clients?+

$1,199 USD for the standalone AEO Audit (2-week diagnostic, no commitment beyond). $5,499 USD for the AEO Sprint (4-week rebuild, the most-common starting point — audit + schema rebuild + llms.txt + ai.txt + top-20 content surfaces). $1,799/mo USD for the AEO Retainer (ongoing citation tracking, monthly content surfaces, schema maintenance, entity-graph extension). Most B2B clients start with the Audit, then progress to Sprint within 30 days when the gap analysis is clear.

Do you have B2B references we can talk to?+

Yes. After counter-NDA we introduce you to current or former B2B clients — on the record — within 48 working hours of brief acceptance. Most published case studies are anonymised under client NDA; the reference contacts are real and reachable. We do not invent references and do not run "channel-partner" fake-reference schemes that some agencies use to inflate case-study volume.

What's the typical AEO timeline for B2B brands?+

Week 1–2: AEO Audit (citation share baseline + 30-page diagnostic). Week 3–4: schema engineering + llms.txt + ai.txt + entity-graph rebuild. Week 5–8: top-20 content surface rebuild for AI extractability (TL;DR + FAQPage + Speakable + outbound primary-source citations). Week 9–12: citation tracking instrumentation, monthly review, retainer transition. Measurable citation share lift typically appears at week 6–8; compounding lift through month 4–6.

§ START

Get a free AEO audit for B2B.

Submit your domain. We'll benchmark your citation share across 5 AI engines, audit your schema graph, identify the entity-graph gaps — and deliver the top 5 AEO fixes inside 7 days. No call required unless you want one.

Free B2B AEO audit View pricing
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