Topics replace buyer questions.
The calendar targets broad keywords while the real evaluation questions, comparisons, definitions, and decision criteria stay unanswered.
Service 05 / AEO & data stories
Buyers ask a model first.It answers with someone else.
A growing share of category research now ends inside an AI answer, and models cite specific, checkable claims from sources they can attribute. Pages of undifferentiated thought leadership give them nothing to quote. We build the original evidence worth citing, then structure it so it gets cited.
$3,000 · 10 WORKING DAYS · ONE DECIDER
01 Questions worth owning
02 Evidence behind answers
03 Citation-ready publishing
04 Discovery signals
THE EXPENSIVE RECURRING PROBLEM
You cannot be cited for a claim you never made.
Assistants quote numbers, definitions, and named sources. Most B2B content contains none of those, so it earns traffic from nobody and citations from nothing.
Claims have no evidence path.
Articles repeat category consensus, cite secondary summaries, or publish numbers without methodology, provenance, caveats, or a stable source.
Expertise is trapped in people and files.
Customer patterns, operator judgment, product data, and internal research never become structured, crawlable, reusable public evidence.
Visibility is measured without attribution quality.
Rankings and mentions look positive, but nobody checks which query, answer passage, source, or downstream buyer action created value.
VISIBLE SYMPTOM Content publishes, nothing cites it→ROOT CAUSE No original, attributable claim on the page for a model to quote
THE AEO & DATA STORIES
Every action leaves state for the next one.
The loop defines its input, output, human checkpoint, and return path. Activity stops when the evidence says stop.
Map the questions that shape a buying decision.
We connect search demand, sales calls, community language, support patterns, competitor gaps, and AI answer surfaces into a prioritized question universe.
BUYER + DISCOVERY SIGNALS · QUESTION OWNERSHIP MAPBuild the source before writing the answer.
Product data, expert interviews, customer patterns, public datasets, tests, and cited primary sources become a provenance-aware evidence pack.
PRIORITY QUESTION · EVIDENCE PACKMake the useful passage easy to retrieve.
Definitions, direct answers, supporting detail, tables, limitations, methodology, entities, and structured data form a clear source for people and machines.
EVIDENCE + EXPERT JUDGMENT · CITATION-READY STORYCreate corroboration without duplicating noise.
Owned pages, data stories, expert commentary, partner references, social explanations, and sales reuse point back to stable source material.
PUBLISHED SOURCE · DISCOVERY FOOTPRINTTrack answer quality, citation, and buyer response.
Search performance, AI mentions, cited passages, referral paths, branded demand, sales usage, and content gaps update the next evidence investment.
DISCOVERY + COMMERCIAL SIGNALS · ANSWER LEARNING LOGWHAT COMPOUNDS
Authority is built from sources other people can check.
The durable advantage is a growing library of questions, evidence, methodologies, entities, and answer passages that other people and systems can verify.
01MAP
Answer-ownership graph
Buyer questions, journey stage, current answer quality, source gaps, entity relationships, and commercial value.
02SOURCE
Evidence and methodology library
Primary sources, internal data definitions, expert notes, calculations, caveats, provenance, and reusable tables.
03SIGNAL
Citation learning log
Queries, cited passages, answer accuracy, referring sources, branded demand, sales usage, and next content decision.
A TYPICAL FIRST 30 DAYS
Own one high-value answer cluster before chasing the whole category.
The first month maps a bounded question space, closes the evidence gap, publishes one flagship source and supporting answers, then establishes monitoring.
01DAYS 01-07
Map the answer opportunity
Audit buyer questions, search and AI surfaces, existing pages, entities, competitor sources, sales language, and evidence gaps.
Question graph · visibility baseline · source-gap map02DAYS 08-14
Assemble defensible evidence
Collect primary sources, interview experts, define data and methodology, verify claims, and document limitations.
Evidence pack · methodology · claim register03DAYS 15-23
Publish the answer system
Create the flagship data story or guide, supporting direct answers, structured markup, internal links, and reusable expert passages.
Flagship source · answer cluster · structured data04DAYS 24-30
Distribute and monitor
Activate expert, partner, social, sales, and owned paths. Record citation, representation, referral, and buyer signals.
Distribution plan · monitoring view · next evidence betGROW & CLOSE OWNS
- Question and answer-surface research
- Evidence synthesis and source governance
- Data-story narrative and production
- Technical answer structure and schema
- Citation and commercial monitoring plan
YOU OWN
- Expert and data access
- Accuracy review and source approval
- Permissions for customer or proprietary evidence
- Technical publishing access
- Clear boundaries for confidential information
THE OFFER · $3,000 · 10 WORKING DAYS
Ten days. One asset a model can actually cite.
We find the question your buyers ask, build the original evidence to answer it, and structure the page for extraction. Then we track whether the answer engines pick it up.
Book a call with the founderB2B SAAS ONLY · NO INVOICE IF THE FIRST DELIVERABLE MISSES THE RUBRICQUESTIONS, ANSWERED
The useful boundaries.
01Can you guarantee AI citations?+
No. AI systems change, personalize, and choose sources independently. We build clear, accurate, accessible, corroborated source material and monitor representation. We do not promise control over a model's answer.
02Is AEO different from SEO?+
The disciplines overlap. Technical access, search demand, authority, links, and useful pages still matter. AEO adds focus on answer passages, entities, evidence, corroboration, and how AI systems retrieve and represent sources.
03Do we need proprietary data?+
Not always. Original analysis can come from product patterns, expert synthesis, transparent tests, customer research, or well-structured public data. The source must still be useful, accurate, and inspectable.
04What do you measure?+
Question coverage, ranking and citation presence, answer accuracy, cited passages, referral quality, branded demand, sales reuse, and downstream actions. Mentions alone are not enough.
TEN WORKING DAYS