How we approach SEO + AEO for Sensesbit. We start from one central topic ("sensory analysis software"), map the 47 sub-topics Google expects a true authority to cover, build pages that cluster those sub-topics by depth and relevance, and sequence them so the most commercially valuable wins arrive first. The result: 119 pages that compound into category ownership. New to the terms? See the glossary.
Every page on the site is built around a single category claim. Pinpointing this entity is what lets Google and AI engines understand who Sensesbit is and what to cite us for.
| Entity | Relationship | Sensesbit stance |
|---|---|---|
sensory analysis | Macro context (the discipline) | Touch, don't own. Yes, build the "what is" page — but the authority claim is software for it, not the discipline itself. Wikipedia + NIH already own the discipline. |
sensory evaluation | Synonym; mid-context | Use as lexical deepening. Every page about "sensory analysis" must also use "sensory evaluation" in body copy. Not a separate central entity. |
panel management software | Sub-attribute, narrower | Own as Tier-1 hub-spoke pair. Many buyers shop for this specifically when their job-to-be-done is panel ops. Build dedicated pages but link up to the central entity. |
"Find software to run sensory studies." Buyer wants to do work, not understand the discipline. Commercial-decision intent at the top of the entity, not informational.
Macro semantics is the entity-level meaning context. What classes does the central entity belong to (IS-A)? What does it contain (HAS-A)? What other entities consistently appear alongside it in authoritative sources?
Entities that co-occur with the central entity in authoritative third-party sources must appear in our content. Rule: a methodology page that mentions fewer than 6 of these is not topically dense enough.
Micro semantics are the lexical and syntactic patterns at the page and section level. This is where lexical-semantic deepening lives — the discipline that prevents thin content while building topical density.
| Page type | H1 pattern | Example |
|---|---|---|
| Vertical hub | [adj]? [vertical] sensory analysis software | Sensory analysis software for craft brewing |
| Methodology hub | [method] guide: [purpose] | QDA Guide: Quantitative Descriptive Analysis for Sensory Scientists |
| ISO page | ISO [number]: [topic] [year] | ISO 4120: Triangle Test Methodology Guide (2026) |
| Alternatives | [Competitor] alternatives: N sensory analysis software compared | Compusense Alternatives: 10 Sensory Analysis Software Compared (2026) |
| vs-page | Sensesbit vs [Competitor]: [comparison angle] | Sensesbit vs Compusense: Modern Sensory Analysis Software in 2026 |
| Use case (JTBD) | Replace [substitute]: [outcome promise] | Replace Excel for Sensory Testing: Cut Study Time from 3 Days to 4 Hours |
| Glossary | What is [term]? [type] in sensory analysis | What is Penalty Analysis? Statistical Method in Sensory Science |
Rule: every Tier-1 Spanish page must use both catador and panelista at least once each (regional bridge). Same for tasting (cata vs prueba sensorial), training (formación vs capacitación), quality (evaluación de calidad vs control de calidad).
| Canonical term (ES) | Lexical variants (use 3+ per page) |
|---|---|
análisis sensorial | evaluación sensorial, análisis organoléptico, pruebas sensoriales, prueba sensorial |
panel | panel sensorial, panel de catadores, panel de panelistas, panel entrenado, panel de consumidores |
catador (Spain) / panelista (LATAM) | both must appear in the same page |
vida útil sensorial | caducidad sensorial, deterioro sensorial, estabilidad sensorial |
control de calidad | control sensorial, evaluación de calidad, control sanitario |
47-attribute graph mapped from authoritative sources (ISO standards, sensory science publications, competitor coverage, Sensesbit's 30 first-party snippets). Color: R = root, r = rare, U = unique Sensesbit moat.
| # | Attribute | Class | Prom | First sprint |
|---|---|---|---|---|
| 20 | Quality control sensory testing | R | 1 | Sprint 1 (CRM-validated) |
| 28 | Bilingual EN+ES native interface | U | 1 | Sprint 1 (all ES pages) |
| 30 | 24-hour deployment | U | 1 | Sprint 1 (every BOFU page) |
| 34 | Excel export + import | r | 1 | Sprint 1 (Excel-bridge BOFU) |
| 44 | Wikidata + Wikipedia entity sameAs | R | 1 | Sprint 1 (all pages from day 1) |
| 13 | Penalty analysis | R | 1 | Sprint 4 (P0 Sensesbit IP) |
| 43 | Author bylines + scientific advisors | R | 1 | Sprint 4 (Maruxa, advisory) |
| 25 | F&B vertical depth (15+ sub-verticals) | R | 1 | Sprints 4-15 |
| 1 | Discrimination testing (triangle, duo-trio) | R | 1 | Sprint 5 |
| 2 | Descriptive analysis (QDA, Spectrum, FCP) | R | 1 | Sprint 5 |
| 35 | ISO 4120 (triangle test standard) | R | 1 | Sprint 5 |
| 3 | Consumer / hedonic testing | R | 1 | Sprint 6 |
| 4 | CATA / RATA / TCATA | R | 1 | Sprint 6 |
| 8 | Panel selection + screening (ISO 8586) | R | 1 | Sprint 7 |
| 9 | Panel training | R | 1 | Sprint 7 |
| 19 | Shelf life sensory testing | R | 1 | Sprint 11 |
| 36 | ISO 8586 (panel training standard) | R | 1 | Sprint 7 |
| 26 | AI-assisted panel composition | U | 2 | Sprint 9 |
| 27 | AI-assisted descriptor generation | U | 2 | Sprint 9 |
| 24 | Pharma + nutraceutical palatability | U | 2 | Sprint 18 (UK/NL hypothesis) |
Sprint 1: Excel replacement + Quality control. Sprint 2-3: Compusense alternatives + F&B hub. Sprint 4: Penalty analysis + Higher Ed (highest CRM close rate). Sprint 5: Triangle + QDA + Wine. Sprint 6: Glossary + Hedonic + CATA.
AI moat pages ship here, NOT Sprint 1 — AI attribute compounds only after topical authority is established. Vertical depth continues. Sea Food (Galicia 35% close) ships Sprint 10.
ISO pages establish authoritative reference layer. Integrations (LIMS, Qualtrics, Excel) bridge migration intent. Ingredients & Additives + Pharma close out B2B supplier coverage.
7 PT-BR pages (Sprints 18-21). Long-tail methodology (TDS, magnitude, threshold). ISO depth (8589, 5492, 11035, 13299). Original-research white paper (Q3+). Calculators.
Heavy on technical terms — every acronym is defined in the glossary.
What's complete: the full attribute graph (47 attributes scored and prioritised) · the semantic frame (how every page connects to every related concept) · a 6-phase build sequence across 12 months · per-vertical pipeline projections · CRM-validated buyer profiles · the 119-page architecture · the scoring formula that tells us when each page is "done" · per-page quality gates.
What's still to build — 5 urgent items: a 200-entry question-and-answer library (the raw material for AI citations) · a cheat-sheet of proven H1 patterns · entity checklists per page type · the updated internal-linking map (119 pages, not the old 30) · the dashboard that tracks AI Overview citations over time.
What we ship first: Sprints 1–6 cover the 16 highest-priority foundational topics. Sprints 7–12 add the next tier plus panel operations, AI, and vertical depth. Sprints 13–18 fill in ISO, integrations, and regulatory. Sprints 19–26 add the outer ring, Portuguese-Brazilian, and free tools.