B2B software / AEO + GEO
From scattered expertise to a source buyers—and answer engines—could use with confidence.
Buyer question / 01
“Which forecasting platforms explain their model assumptions to finance teams?”
02 / Visual overview
The case in 24 seconds.
This example demonstrates our proposed process and measurement framework. It is not presented as a verified client result. The film has visible controls, captions, a descriptive poster, and a transcript.
Read the film transcript
- Illustrative engagement example. This is not presented as a verified client result.
- A B2B SaaS example built around category and comparison discovery.
- The buyer asks which forecasting platforms explain their model assumptions to finance teams.
- The proposed strategy clarifies the category, answers comparisons honestly, and creates a citation spine.
- Measurement categories include non-branded visibility, citation frequency, and assisted pipeline. No result is claimed.
03 / Context
Expertise was present. The path to it was not.
A forecasting platform has credible experts, useful webinars, and a strong product. Its clearest ideas live in formats that are hard to compare, retrieve, and verify.
04 / Challenge
A discovery problem with commercial consequences.
The market understands the offer as generic analytics software rather than a specific answer to planning uncertainty. AI-assisted category research surfaces larger competitors because their definitions, comparisons, and proof are easier to assemble.
QuestionBuyer need
→EvidenceUseful source
→DecisionQualified action
05 / Research and diagnosis
Start with what can be observed.
- 01A fixed set of category and problem-led buyer prompts
- 02Source overlap across model-generated answers
- 03Category, competitor, and use-case entity consistency
- 04Claims-to-evidence audit across product and editorial pages
06 / Strategy
Three decisions shaped the programme.
Clarify the category
Define the product in one stable sentence, then show where it fits—and where it does not—without evasive positioning language.
Answer comparison questions honestly
Build useful decision pages around capability, fit, implementation, and limitations instead of manufacturing winner-takes-all claims.
Create a citation spine
Connect first-party definitions to methodology notes, documented evidence, expert commentary, and relevant third-party references.
07 / Execution model
Build the system, not one impressive page.
Question map
Prompts were grouped by awareness, evaluation, proof, and risk so each answer had a commercial role and a logical home.
Evidence blocks
Definitions, methods, limitations, and sources were designed as readable modules inside the article—not as machine-facing clutter.
Visibility benchmark
A stable prompt set and versioned measurement protocol separated citation, mention, sentiment, and referral outcomes.
08 / Example deliverables
What a client team could use.
- 01Category and entity definition sheet
- 02Versioned buyer-question benchmark
- 03Comparison-page content model
- 04Claims-to-evidence register
- 05AI visibility measurement protocol
09 / Measurement framework
Signals stay separate so the story stays honest.
non-branded visibility
Track visibility when buyers ask category, comparison, problem, and solution questions without using the brand name.
MEASUREMENT CATEGORY · NO RESULT CLAIMEDcitation frequency
Record which owned or third-party sources are cited across a fixed, versioned question set.
MEASUREMENT CATEGORY · NO RESULT CLAIMEDassisted pipeline
Connect AI-referred and comparison-page touches to qualified demo and opportunity stages without overstating attribution.
MEASUREMENT CATEGORY · NO RESULT CLAIMEDThese are the categories we would monitor. No percentage, ranking, revenue, or citation improvement is claimed.
10 / Lesson
AEO is not a layer of phrasing added to SEO. It is the discipline of making important knowledge clear, retrievable, and supported.
Use your real evidence