15 KiB
GreenLens SEO + AI-SEO Roadmap
Stand: 2026-04-10
Quelle:
- Keyword-Datensatz: keyword-research.csv
- Landing Site: greenlns-landing
Executive Summary
GreenLens hat genug Nachfrage im Keyword-Set, um eine kleine, sehr fokussierte SEO-Architektur aufzubauen. Das größte Problem ist nicht fehlendes Suchvolumen, sondern fehlende Seitenabdeckung. Die aktuelle Landing Site deckt im Wesentlichen nur Homepage-, Support- und zwei Vergleichsintentionen ab, obwohl die Keyword-Liste starke Nachfrage in vier Kernbereichen zeigt:
- Plant identification
- Plant health / diagnosis
- Plant care / reminders
- German-language app intent
Zusätzlich gibt es AI-SEO-Potenzial, weil GreenLens bereits mit einem klaren Angle arbeitet:
- plant ER / triage
- next-step diagnosis
- calmer guidance instead of care overload
Dieser Angle ist für AI-Antworten gut verwertbar, wenn die Inhalte als zitierfähige Antwortblöcke statt als generische Marketing-Flächen gebaut werden.
Phase 0: Fixes Before Content Rollout
Diese Punkte sollten vor dem großen Content-Rollout erledigt werden:
- Root-canonical aus dem globalen Layout entfernen und pro Seite selbstreferenzierende Canonicals setzen.
- Keine
hreflang-Alternates auf/ausgeben, solange keine echten Locale-URLs existieren. - Für
/privacy,/termsund/imprinteigenemetadataergänzen. - Platzhalter in den Rechtstexten ersetzen.
- Encoding-/Mojibake-Probleme in sichtbarem Text bereinigen.
Last updatedund Autoren-/Brand-Signale für neue SEO-Seiten einführen.
Ohne diese Vorarbeiten besteht das Risiko, dass neue Seiten schlechter indexiert oder im Snippet-Kontext schwächer interpretiert werden.
Nachfragebild
Brutto aus CSV
- Rohsumme: ca.
350.220bis3.502.200Suchen / Monat
Realistisch dedupliziert
Nach Clusterung ähnlicher Intentionen und konservativem Überlappungsabschlag:
- realistisch: ca.
178.052bis1.780.520Suchen / Monat - Planungs-Midpoint: ca.
979.286/ Monat
Interpretation
- Das ist kein Traffic-Forecast.
- Das ist ein adressierbares Suchinteresse aus der vorhandenen Liste.
- Der größte Hebel liegt klar in
plant identifier app. - Der zweitgrößte Hebel liegt in diagnosis/symptom content und German app intent.
Priorisierte Seitenarchitektur
Wave 1: Highest ROI
1. /plant-identifier-app
- Primärkeyword:
plant identifier app - Unterstützende Keywords:
plant identifieridentify plants by photoidentify plant from pictureplant recognition appplant id appfree plant identifier appapp to identify plantsai plant identifier
- Realistisches Seitenpotenzial:
140.842bis1.408.420 - Planungs-Midpoint:
774.631
Ziel:
- Haupt-SEO-Landingpage für die Kategorie
- AI-citable Definition und evaluation page
Title:
Plant Identifier App for Fast Diagnosis and Care | GreenLens
Meta Description:
GreenLens is a plant identifier app that helps you identify plants by photo, diagnose common plant problems, and get the next best care step in one app.
H1:
Plant Identifier App That Goes Beyond Naming the Plant
Core outline:
- What is a plant identifier app?
- How GreenLens identifies plants by photo
- Why plant identification alone is not enough
- GreenLens vs generic plant ID apps
- FAQ
AI-SEO answer blocks:
- 40-60 word definition block directly under H1
- short “how it works” numbered list
- table:
GreenLens vs generic plant identifier apps - 3-5 symptom-based mini use cases
- FAQ with natural-language questions
Schema:
SoftwareApplicationFAQPage- optional
HowTo
Internal links:
- link to
/plant-disease-identifier - link to
/plant-care-app - link to
/vs/inaturalist - link to App Store CTA
Notes:
- This page should be the internal-link hub for the whole organic cluster.
2. /plant-disease-identifier
- Primärkeyword:
plant disease identifier - Unterstützende Keywords:
plant health checkersick plant diagnosisplant disease appplant problem diagnosisplant health apppest identificationplant diagnosis app
- Realistisches Seitenpotenzial:
1.900bis19.000 - Planungs-Midpoint:
10.450
Ziel:
- Category page for plant diagnosis and symptom-led queries
- Strong AI-overview target because the query is informational and evaluative
Title:
Plant Disease Identifier for Houseplant Problems | GreenLens
Meta Description:
Use GreenLens as a plant disease identifier to check common plant problems, understand symptoms, and decide on the next safe care step.
H1:
Plant Disease Identifier for Real-World Plant Problems
Core outline:
- What a plant disease identifier can and cannot do
- Common symptoms GreenLens helps interpret
- How to avoid wrong next steps
- When a symptom is likely not a disease
- FAQ
AI-SEO answer blocks:
- “What is a plant disease identifier?” answer block
- symptom matrix:
- yellow leaves
- brown leaves
- soft stems
- pest signs
- “most likely cause vs safest next step” table
- FAQ framed around beginner decisions
Schema:
FAQPageHowTofor diagnosis workflow
Internal links:
/plant-identifier-app- future
/plant-leaves-turning-yellow - future
/brown-leaves-on-houseplants
3. /plant-care-app
- Primärkeyword:
plant care app - Unterstützende Keywords:
plant careplant watering reminderplant watering appplant care reminder apphouseplant care appindoor plant care app
- Realistisches Seitenpotenzial:
1.254bis12.540 - Planungs-Midpoint:
6.897
Ziel:
- Category page for ongoing care and reminder intent
- Commercial-intent support page that complements diagnosis pages
Title:
Plant Care App for Reminders, Routines, and Recovery | GreenLens
Meta Description:
GreenLens is a plant care app for reminders, care routines, plant tracking, and symptom-based next steps when your plant starts to struggle.
H1:
Plant Care App for Better Routines and Better Decisions
Core outline:
- Why most care apps stop at reminders
- What GreenLens tracks
- Reminder logic vs real plant context
- Care routines for indoor plant owners
- FAQ
AI-SEO answer blocks:
- direct answer: what a plant care app helps with
- feature table: reminders, collection, scan, diagnosis, care notes
- short “when reminders help vs when they hurt” section
Schema:
SoftwareApplicationFAQPage
Internal links:
/plant-identifier-app/plant-disease-identifier- future
/plant-tracker-app
4. /pflanzen-erkennen-app
- Primärkeyword:
pflanzen erkennen app - Unterstützende Keywords:
pflanzenerkennung apppflanzen bestimmen apppflanzen apppflanzen scanner apppflanzen identifizieren app
- Realistisches Seitenpotenzial:
1.640bis16.400 - Planungs-Midpoint:
9.020
Ziel:
- Separate German landing page for German app-intent queries
- Also strong AI-citation candidate for German-language questions
Title:
Pflanzen Erkennen App mit Diagnose und Pflegehilfe | GreenLens
Meta Description:
GreenLens ist eine Pflanzen-Erkennen-App, mit der du Pflanzen per Foto bestimmen, Probleme einordnen und die nächsten Pflegeschritte klarer ableiten kannst.
H1:
Pflanzen Erkennen App fuer Fotoerkennung und Pflanzenhilfe
Core outline:
- Was ist eine Pflanzen-Erkennen-App?
- Pflanzen per Foto bestimmen
- Warum Bestimmung allein nicht reicht
- GreenLens fuer Diagnose und naechste Schritte
- FAQ
AI-SEO answer blocks:
- direkte Antwort auf Deutsch unter dem H1
- “So funktioniert es” als nummerierte Liste
- Vergleichstabelle:
GreenLens vs klassische Pflanzen-Apps - FAQ in natuerlicher deutscher Fragesprache
Schema:
SoftwareApplicationFAQPage
Internal links:
/plant-identifier-app- optional future
/zimmerpflanzen - support/legal pages
Notes:
- Diese Seite sollte nicht nur die Homepage uebersetzen, sondern German intent wirklich bedienen.
5. /vs/inaturalist
- Primärkeyword:
inaturalist - Unterstützende Keywords:
- category fit: alternative / evaluation intent
- Realistisches Seitenpotenzial:
10.000bis100.000 - Planungs-Midpoint:
55.000
Ziel:
- Comparison page with high citation likelihood in AI answers
- Complements existing
/vs/picturethisand/vs/plantum
Title:
GreenLens vs iNaturalist for Plant Identification and Diagnosis
Meta Description:
Compare GreenLens vs iNaturalist for plant identification, plant diagnosis, next-step care guidance, and beginner-friendly decision support.
H1:
GreenLens vs iNaturalist
Core outline:
- who each product is for
- biodiversity/community app vs plant triage workflow
- identification depth vs next-step diagnosis
- beginner clarity vs expert observation workflow
- FAQ
AI-SEO answer blocks:
- fair comparison summary in first 60 words
- structured comparison table
- “choose GreenLens if / choose iNaturalist if” bullets
- explicit caveat on where iNaturalist is stronger
Schema:
FAQPage- optional
ItemList-style structured comparison
Internal links:
/plant-identifier-app/plant-disease-identifier- existing comparison pages
Wave 2: Strong Follow-Up Pages
Diese Seiten haben gute Ergänzungsfunktion oder Long-Tail-/AI-SEO-Wert:
/best-plant-identification-app/plant-leaves-turning-yellow/brown-leaves-on-houseplants/zimmerpflanzen/identificador-de-plantas/plant-tracker-app
Cannibalization Rules
Damit die Seiten sich nicht gegenseitig schwächen:
/plant-identifier-app- category page
- broad commercial + informational intent
/plant-disease-identifier- diagnosis-specific category page
/plant-care-app- routine/reminder/tracking intent
/pflanzen-erkennen-app- German-language category page
/vs/*- comparison intent only
- symptom pages
- narrow problem-specific intent only
Regel:
- Jede Seite braucht ein klar eigenes Primärkeyword.
- Das Primärkeyword muss in
title,H1, intro copy, slug und interner Verlinkung konsistent sein. - Keine zweite Seite sollte dasselbe Keyword-Set als Primärziel bekommen.
AI-SEO Content Pattern
Alle neuen Pages sollten dieselbe Grundstruktur für AI-Citation verwenden.
Required above-the-fold structure
- Direct answer paragraph
- Clear H1 matching the query
- 3-bullet summary of when GreenLens is useful
- Primary CTA
Required extractable blocks
-
Definition block
- 40-60 words
- answers the primary query directly
-
Comparison block
- table or side-by-side bullets
- especially important for category and alternative pages
-
Decision block
- “Choose GreenLens if...”
- “Not the best fit if...”
-
FAQ block
- 4-6 natural-language questions
- answers should stand alone without surrounding context
-
Freshness block
- visible “Last updated”
- visible review/update cadence
Recommended AI-citation signals
- specific numbers where they are true and defensible
- product facts in plain language
- one-sentence summary paragraphs
- balanced tone on comparison pages
- author/reviewer attribution
- sources for third-party claims
Metadata Rules
For all new pages:
- title length target:
50-60chars where possible - description target:
140-160chars - self-referencing canonical
- Open Graph aligned to title and description
- one H1 only
Template:
Title: [Primary Keyword] + [specific benefit] | GreenLens
Meta: Clear value proposition with keyword, no fluff, no repetition
H1: Match query closely, but read naturally
Schema Plan
Minimum schema for rollout:
-
Global:
OrganizationSoftwareApplication
-
Per page:
- category pages:
FAQPage - workflow pages:
HowTo - comparison pages:
FAQPage
- category pages:
Optional later:
ReviewAggregateRatingBreadcrumbList
Internal Linking Plan
Homepage
Homepage should link prominently to:
/plant-identifier-app/plant-disease-identifier/plant-care-app/pflanzen-erkennen-app/vs/inaturalist
Category hub logic
/plant-identifier-applinks to all other money pages/plant-disease-identifierlinks to symptom pages/plant-care-applinks to tracker/reminder pages/pflanzen-erkennen-applinks to German support cluster/vs/*links back into category pages
Anchor text examples
Use varied, natural anchors:
plant identifier appplant disease identifierplant care appPflanzen erkennen Appcompare GreenLens and iNaturalist
Do not overuse exact-match anchors sitewide.
AI Visibility Monitoring Plan
Test these queries monthly in:
- Google AI Overviews
- ChatGPT search
- Perplexity
Priority queries
plant identifier appidentify plants by photoplant disease identifierplant care appbest plant identification appGreenLens vs PictureThisGreenLens vs PlantumGreenLens vs iNaturalistpflanzen erkennen appplant leaves turning yellow
Tracking sheet fields
- query
- platform
- AI answer present
- GreenLens cited
- competitor cited
- source page cited
- sentiment / framing
Off-Site AI-SEO Presence
AI visibility will not come only from GreenLens pages. Parallel actions:
- Expand comparison page set for major apps in the category.
- Build review-site presence where relevant.
- Seek mentions in plant-care roundups and app lists.
- Create at least one referenceable “best app” style page with a balanced tone.
- Consider one explainer asset on YouTube for plant diagnosis workflows.
30/60/90 Rollout
First 30 days
- Fix canonicals, metadata inheritance, legal placeholders, encoding issues.
- Build:
/plant-identifier-app/plant-disease-identifier/plant-care-app
- Add homepage internal links to these pages.
Days 31-60
- Build
/pflanzen-erkennen-app - Build
/vs/inaturalist - Add page-specific schema and update sitemap
- Start AI visibility checks on top 10 queries
Days 61-90
- Build symptom pages:
/plant-leaves-turning-yellow/brown-leaves-on-houseplants
- Build
/best-plant-identification-app - Build
/zimmerpflanzen - Review internal links and refresh snippets based on early ranking/citation behavior
Implementation Notes for This Repo
Recommended file pattern in greenlns-landing/app:
app/plant-identifier-app/page.tsxapp/plant-disease-identifier/page.tsxapp/plant-care-app/page.tsxapp/pflanzen-erkennen-app/page.tsxapp/vs/inaturalist/page.tsx
Recommended shared components:
- reusable FAQ component
- reusable comparison table component
- reusable page hero component for category pages
- shared page-level metadata helper
Recommended First Build Order
If only one wave is built now:
/plant-identifier-app/plant-disease-identifier/plant-care-app/pflanzen-erkennen-app/vs/inaturalist
Reason:
- highest combined SEO + AI-SEO leverage
- strongest match to existing product positioning
- cleanest internal-link structure
- fastest path to broad category coverage