30+ expert FAQs, 9,100 Trustpilot reviews, and a detailed technology page full of citable stats — all invisible to ChatGPT, Perplexity, and Google AI Overviews. This strategy changes that systematically, at scale, and permanently.
✗No llms.txt — AI crawlers have no structured index of the site
✗No answer-first content structure — pages open with brand copy, not citable answers
✗Blog content is generic lifestyle — no GEO structure, no proprietary frameworks cited
✗No GEO monitoring — no visibility into which prompts the brand appears in
✗No competitor comparison content beyond the product page table
Five Compounding Layers
1
⚙️
Technical Foundation
Schema markup and llms.txt. Unlock the content you already have. Zero new writing required.
2
🧠
Content Intelligence
Trakkr monitors AI citations. Claude Skills produce GEO-optimised content automatically.
3
📝
Content at Scale
Comparison hub, blog pipeline, product optimiser. Fill every uncontested prompt cluster.
4
🏆
Authority Building
Original research and data-led PR. Become the cited source, not just the cited brand.
5
📹
Video & Multi-Format
GEO-optimised YouTube channel. Video transcripts are indexed and cited by AI models.
Our Taap / GEO Audit — April 2026
Where Our Taap stands today
A page-by-page assessment of every GEO signal across the site. This is the baseline everything else is measured against.
Structured Data — Schema Audit
ℹ️
How we confirmed this: Stencil CDN fingerprints (cdn11.bigcommerce.com/s-d021x8i00o/images/stencil/) confirm the Stencil theme. Stencil's default outputs no JSON-LD. Without custom template editing, all schema is absent by design.
Schema Type
Status
Page
Notes
Product
❌ Absent
/subscription-home-water-system-ii/
Not generated by Stencil default
FAQPage
❌ Absent
/faqs/ · product page
30+ questions + 12 on product — all plain HTML
AggregateRating
❌ Absent
Product page
9,100 Trustpilot reviews — visual only, zero schema
Organization
❌ Absent
Homepage
No entity definition for AI knowledge graphs
Article
❌ Absent
8 blog posts
BC blog doesn't output Article schema by default
HowTo
❌ Absent
/get-set-up/
3-step install process pre-written, completely untagged
BreadcrumbList
⚠️ Partial
Sitewide
HTML breadcrumbs render; no JSON-LD equivalent
SearchAction
❌ Absent
Homepage
Sitelink search box opportunity missed
AI Crawler Access
❌
ourtaap.com/llms.txt — Not present
AI crawlers have no structured index. Deploy via BigCommerce WebDAV — approximately 2 hours of work.
All pages indexed. However no Sitemap: directive in robots.txt pointing to it.
⚠️
robots.txt — Default BigCommerce configuration
Functional pages correctly blocked. However: no explicit GPTBot/PerplexityBot Allow directives, and no Sitemap: directive. Both are 5-minute additions via BC Admin → Settings → Website → Search Engine Robots.
Content Quality by Page
Page
GEO Grade
What's working
What's missing
/tech-page/
B+
Four named filtration stages, specific % stats (97% chlorine, 99.9% microplastics, 0.67kWh/day). Proprietary "Four-Stage Difference" terminology. Best GEO asset on the site.
No schema. Brand copy leads — not answer-first. Named framework not linked from any other page.
✓Specific environmental stat (120M bottles saved, 50k customers)
💡
The key insight: The content investment has been real and deliberate. The gap is entirely infrastructure — no schema, no llms.txt, no answer-first structure, no monitoring. This is the most efficient kind of GEO opportunity: fix the plumbing, the content does the rest.
Every initiative scored on Impact and Effort. Tier 1 is the 30-day sprint — all high impact, low effort. Tier 4 is supporting work to weave in alongside.
Impact H = HighImpact M = MediumEffort L = LowEffort M = MediumEffort H = High
⚡
Tier 1 — High Impact / Low Effort
Do in the first 30 days. Maximum GEO return for minimum resource. Largely technical — no new content required.
01FAQPage schema — /faqs/ page
Impact HEffort L
30+ questions across 6 categories already written. Wrap in FAQPage JSON-LD in the Stencil template. One afternoon of work. Immediately visible to AI crawlers and eligible for Google FAQ rich results.
02FAQPage schema — product page
Impact HEffort L
12 questions already on the product page. Inject JSON-LD via a custom field in BigCommerce. Decision-stage queries ("how does Our Taap work?") will find structured answers immediately.
03Product schema — product page
Impact HEffort L
Pull from Stencil Handlebars variables: name, price, SKU, image, availability. One template edit. Scales to any future products automatically.
04AggregateRating schema — Trustpilot
Impact HEffort L
9,100 reviews are a major authority signal — currently invisible to AI. Hard-code current count into AggregateRating schema, or wire to Trustpilot API. Update quarterly minimum.
05Product page — answer-first rewrite
Impact HEffort L
Rewrite opening paragraph to lead with the answer. Move 50,000 customer stat and 120M bottles saved from /our-story/ to the product page and homepage.
06llms.txt — root domain
Impact MEffort L
Deploy via BigCommerce WebDAV. 2 hours. Gives AI crawlers a structured index of key commercial pages, blog content, and brand context. Also add Sitemap: directive and GPTBot/PerplexityBot Allow rules to robots.txt.
07Organization schema — homepage
Impact MEffort L
Name, logo, URL, registered address, telephone, social profiles (LinkedIn, Instagram, Facebook), sameAs links. Establishes Our Taap as a named entity in AI knowledge graphs.
08Article schema — blog template
Impact MEffort L
One Stencil blog-post.html template change adds Article schema to all 8 existing posts and every future post automatically. No per-post work required.
09HowTo schema — Get Set Up page
Impact MEffort L
The 3-step installation process is a perfect HowTo candidate. AI models cite structured installation guides in response to "how does home water filter installation work?" queries.
🔧
Tier 2 — High Impact / Medium Effort
Core buildout. Months 1–3. Build the intelligence and content systems that run continuously.
10Build Trakkr instance for Our Taap
Impact HEffort M
Dedicated Trakkr account with prompt clusters across home water filtration, hard water UK, subscription vs purchase, TaapTech comparisons. Becomes the live GEO intelligence layer tracking which prompts trigger citations.
11Build Claude Skill: Blog Brief
Impact HEffort M
Connects to the Our Taap Trakkr instance, identifies highest-scoring uncontested prompt gaps, interviews the content lead, and outputs a ready-to-use GEO content brief. Entry point to the content pipeline.
12Build Claude Skill: Blog Writer
Impact HEffort M
GEO writing rules baked in: answer-first, stat density, "TaapTech" and "Four-Stage Difference" cited by name, minimum 5-question FAQ, comparison language in every post. Takes the brief, outputs a publish-ready article.
13Build Claude Skill: Blog Publishing
Impact HEffort M
Converts a finished article to BigCommerce-compatible HTML, generates FAQPage JSON-LD, outputs llms.txt entry, produces pre-publish checklist. Brief to live, fully-schematised post in under 15 minutes.
14Build Claude Skill: Product Page Optimiser
Impact HEffort M
Analyses any product or category page against 8 GEO criteria, identifies gaps, outputs revised copy and matching JSON-LD schema blocks. Ready to implement — no specialist technical knowledge required.
15Competitor comparison content hub
Impact HEffort M
Dedicated /compare/ section: "Our Taap vs Quooker", "vs Brita Mains", "vs TAPP Water", "home water filter subscription vs outright UK". Decision-stage AI queries that are currently uncontested.
16Trustpilot review mining → structured content
Impact MEffort M
Analyse 9,100 reviews for recurring customer language, top objections overcome, use cases, demographic patterns. Feed directly into FAQ rewrites, testimonial pages, and blog briefs.
17GEO monitoring cadence
Impact MEffort M
Monthly Trakkr review: citation score by prompt cluster, gap identification, content pipeline re-prioritisation. Document as a standing process — the feedback loop that keeps the strategy current.
🚀
Tier 3 — High Impact / High Effort
Strategic plays. Month 3+. These build sustained competitive advantages that compound over years.
18UK regional water quality content hub
Impact HEffort H
20+ location pages using Drinking Water Inspectorate data: "Tap water quality in London / Birmingham / Bristol". Each page: local hardness stats, contaminant levels, filtration case. Hyper-specific, data-backed — exactly what AI models prefer to cite.
19Data-led PR / original research
Impact HEffort H
Annual "UK Home Water Quality & Filtration Report". Commission or compile original data. Pitch to Which?, Guardian Health, Times, Good Housekeeping. Become the cited source, not just the cited brand.
20YouTube channel — GEO-optimised video content
Impact HEffort H
Structured video library: installation walkthrough (HowTo schema), Four-Stage Difference explainer, tap water quality by UK region, customer stories, competitor head-to-heads. Question-first video titles ("What does a home water filter actually remove?"). Each video gets a dedicated landing page with full transcript, FAQPage schema, Article schema, and internal links to commercial pages. YouTube transcripts are indexed and cited by Perplexity, Gemini, and Google AI Overviews. Publish cadence: 2 per month. A media asset that generates citations for years.
📌
Tier 4 — Medium Impact / Low–Medium Effort
Solid supporting work. Weave in alongside Tier 1 and 2 without blocking the primary workstream.
21BreadcrumbList schema — sitewide
Impact MEffort L
Stencil renders breadcrumb HTML already. Add the JSON-LD layer in the base template. Improves site structure signals across all pages.
22SearchAction schema — homepage
Impact MEffort L
Enables Google sitelink search box in results. Low effort, reinforces site authority and helps AI models understand navigational intent.
23Internal link audit
Impact MEffort L
"TaapTech" and "Four-Stage Difference" are referenced only on the tech page. These need linking from the product page, FAQs, and every blog post that mentions filtration.
24Blog category expansion
Impact MEffort M
Current tags are generic. Add: "Water Quality UK", "Home Filtration", "Subscription Water Systems", "TaapTech" — aligned to Trakkr prompt clusters so blog content maps to tracked AI queries.
25Community / Q&A seeding
Impact MEffort M
Answer questions authentically on Reddit (r/homeimprovement, r/AskUK, r/UKPersonalFinance) and Quora about UK tap water quality, home filtration, hard water. These surface directly in Perplexity citations and Google AI Overviews.
Our Taap / 4-Phase Implementation Roadmap
From zero schema to a self-running content machine
Each phase builds on the last. Phase 1 is almost entirely technical — no new content required. By Phase 3, the content pipeline is live and producing continuously.
Day 1–2: FAQPage schema on /faqs/ (30+ questions, 6 categories). One Stencil template edit, immediate AI visibility.
Day 2–3: FAQPage schema on product page. Product schema with Handlebars variables. AggregateRating schema for Trustpilot 9,100 reviews.
Day 3: Organization schema on homepage. llms.txt deployed via WebDAV — indexes all key commercial pages, blog, tech page. robots.txt: add Sitemap: directive + GPTBot/PerplexityBot Allow rules.
Day 4–5: Article schema added to blog Stencil template (covers all 8 posts immediately). HowTo schema on Get Set Up 3-step process. BreadcrumbList JSON-LD sitewide.
Day 6–7: Product page rewritten to answer-first. 50,000 customers / 120M bottles stat moved from /our-story/ to product page and homepage. Internal links from FAQs and blog to TaapTech page. SearchAction schema on homepage.
Day 8–10: QA across all schema using Google Rich Results Test. Submit updated sitemap. Validate llms.txt structure. Log baseline Trakkr scores.
Phase 1 outcome
All existing content assets are now AI-readable. FAQPage schema makes 30+ expert answers visible to AI models. AggregateRating surfaces 9,100 reviews as a structured trust signal. The site has an AI crawler index for the first time. No new content written — existing investment starts returning.
2
Intelligence Layer — Trakkr & Claude Skills
Months 1–2 · Build phase · Initiatives 10–14, 17
Week 3: Trakkr instance set up for Our Taap. Prompt clusters seeded across: home water filtration UK, hard water areas, subscription vs purchase, TaapTech, Four-Stage Difference, competitor comparisons. Baseline AI citation scores established.
Week 3–4: Build Claude Skill — Blog Brief. Connects to Trakkr, identifies highest-scoring uncontested prompt gaps, runs structured interview with content lead, outputs GEO-optimised brief with target prompts, H2 structure, stat requirements, and CTA.
Week 4–5: Build Claude Skill — Blog Writer. Bakes in Our Taap GEO writing rules: answer-first opening, TaapTech citation, Four-Stage Difference naming, FAQ section, comparison language. Takes brief from Skill 1, outputs publish-ready article.
Week 5–6: Build Claude Skill — Blog Publishing. Converts article to BigCommerce HTML, generates FAQPage JSON-LD, appends llms.txt entry, produces pre-publish checklist. Full pipeline: Trakkr → Brief → Write → Publish.
Week 6–7: Build Claude Skill — Product Page Optimiser. Analyses any URL, identifies GEO gaps vs 8 criteria, outputs revised copy and matching schema JSON-LD ready to implement.
Week 7–8: GEO monitoring cadence documented. Monthly Trakkr review process established: citation score by cluster → gap identification → pipeline prioritisation → output.
Phase 2 outcome
Our Taap now has a live GEO intelligence system. Trakkr shows exactly which AI queries trigger brand citations and which don't. Four Claude Skills mean the content team can go from gap identification to published, fully-schematised article in under 2 hours — without specialist GEO knowledge.
Month 2: Run the blog pipeline for the first time. Trakkr identifies top 5 uncontested prompt gaps. Claude Skills generate 5 GEO-optimised briefs and articles. Blog Publishing Skill converts and publishes. All 5 posts live with FAQPage and Article schema within 2 weeks.
Month 2: Trustpilot review mining — analyse 9,100 reviews. Output: 15+ FAQ rewrites, 3 testimonial page drafts, 10 blog brief seeds drawn from real customer language.
Month 2–3: Build competitor comparison hub (/compare/). Initial pages: Our Taap vs Quooker, vs Brita Mains, vs TAPP Water, water filter subscription vs outright purchase UK. Each: answer-first, data-led, FAQPage schema, structured comparison table.
Month 3: Update blog categories to align with Trakkr clusters. Add "Water Quality UK", "Home Filtration", "TaapTech" as primary categories. Retrospectively tag existing posts.
Month 3: Community seeding begins — Reddit and Quora. 2–3 authentic expert answers per week on water quality, filtration, and hard water queries.
Ongoing from Month 3: Monthly Trakkr → Brief → Write → Publish cycle. Target: 4 GEO-optimised blog posts per month. Product Page Optimiser runs over all category and product pages.
Phase 3 outcome
The content machine is running. Blog pipeline producing 4 GEO-optimised posts per month. Comparison hub capturing decision-stage AI queries for the first time. Monthly Trakkr data showing citation growth across prompt clusters. Our Taap starts appearing in AI responses to competitive queries.
4
Authority & Scale — Research, Regional, Video
Month 3+ · Long game · Initiatives 18, 19, 20
Month 3–6: UK regional water quality hub. 20+ location pages using Drinking Water Inspectorate data. Start with the 10 highest-population hard water areas: London, Birmingham, Bristol, Leeds, Leicester, Oxford, Cambridge, Norwich, Swindon, Chelmsford. Each page: local TDS data, hardness level, contaminant profile, filtration case. Automated via BC content API where possible.
Month 4–6: Original research project. Scope "UK Home Water Quality & Filtration Report 2026". Options: partner with a water testing lab, compile DWI open data, commission a 1,000-person consumer survey. Draft findings, prepare press release. Distribute to Which?, Guardian Health, Times, Good Housekeeping.
Month 4+: YouTube channel — first 10 videos planned and scripted. Priority: installation walkthrough, Four-Stage Difference explainer, "What's in your tap water?" by UK region (5 videos), Our Taap vs Quooker head-to-head, customer story. Each video: dedicated landing page with full transcript, FAQPage schema, Article schema. Publish cadence: 2 per month.
Ongoing: Monthly Trakkr review informs all Phase 4 priorities. If regional pages drive citation growth faster than expected, accelerate. If video is outperforming blog, shift resource. Evidence-based decisions, not assumptions.
Phase 4 outcome
Our Taap is no longer just a cited brand — it's a cited source. The regional hub captures local search intent at scale. The annual research report generates backlinks and third-party citations that compound GEO authority. The YouTube library produces AI-indexable video content for years. Our Taap is the authority on home water filtration in the UK.
Existing content becomes AI-readable. Schema eligible for Google rich results.
Month 1–2
Trakkr live · 4 Claude Skills built · Monitoring cadence established
GEO intelligence system operational. Content team producing optimised articles in under 2 hours.
Month 2–3
Blog pipeline running · Comparison hub live · Review mining complete
4 GEO posts/month. First competitor comparison citations. Decision-stage queries starting to surface Our Taap.
Month 3+
Regional hub · Annual report · YouTube channel
Our Taap cited as a source, not just a brand. Regional content captures local AI queries. Video compounds authority.
Our Taap / The Content Intelligence System
Trakkr + Claude Skills: how the pipeline works
The content pipeline replaces the need for specialist GEO expertise with a systematic, repeatable process any content team member can run. Here is exactly how it works end to end.
Pipeline A — Blog Content
From AI gap to published article in under 2 hours.
1
Trakkr — identify the gap
Open the Our Taap Trakkr dashboard. Review the prompt gap scoring report — each uncontested prompt scored 0–100 on traffic potential and citation difficulty. Prompts above 70 with no current Our Taap citation are the target. Typical examples: "Is a home water filtration system worth it UK?", "What is the best mains-connected water filter UK 2026?", "How does UV purification work in a water filter?"
2
Claude Skill: Blog Brief — structure the brief
Open Claude with the Blog Brief skill active. The skill pulls the target prompt from Trakkr and asks 6 structured questions (key argument, supporting stats, competitor angle, brand differentiators to cite, FAQ questions, CTA). Outputs a publish-ready brief with: target prompts, H2 structure, stat requirements, required TaapTech / Four-Stage Difference citations, FAQ outline, and word count guidance.
3
Claude Skill: Blog Writer — write the article
Pass the brief to the Blog Writer skill. GEO writing rules applied automatically: answer-first opening (first 150 words directly answer the target prompt), specific stat in first 100 words, TaapTech and Four-Stage Difference cited by name, comparison language in at least one section, minimum 5-question FAQ using actual user search intent phrasing. Review and approve. No specialist knowledge required.
4
Claude Skill: Blog Publishing — prepare and publish
Pass the approved article to the Blog Publishing skill. Output: BigCommerce-compatible HTML, FAQPage JSON-LD schema block, Article JSON-LD schema block, llms.txt entry to append, meta title and description, pre-publish GEO checklist. Copy HTML into BigCommerce blog editor. Add schema via Script Manager. Article live, fully schematised, and tracked in Trakkr within 15 minutes.
✓
Trakkr — measure and re-prioritise
Monthly: return to Trakkr. Check citation score for the published article's target prompt. If improved, the article is working. If not, Trakkr surfaces why — and the skill generates a revision brief. Use the monthly report to identify the next 4–5 gaps. The cycle repeats.
Pipeline B — Product Page Optimisation
Continuous GEO improvement across all product and category pages.
1
Claude Skill: Product Page Optimiser — audit the page
Provide the skill with the URL of any product, category, or landing page on the Our Taap site. The skill fetches the page content and audits it against 8 GEO criteria: answer-first opening, stat density, proprietary framework citation (TaapTech, Four-Stage Difference), comparison language, FAQ presence, review schema, schema completeness, and llms.txt inclusion.
2
Gap report and revised copy
The skill outputs: a gap score for each of the 8 criteria, revised opening paragraph with answer-first structure, stat addition suggestions, comparison language recommendations, 5 new FAQ question suggestions, and the JSON-LD schema blocks required for this page type. Ready to implement — no additional writing or technical work required.
✓
Implement, track, repeat quarterly
Apply revised copy via BigCommerce page editor. Add schema blocks via Script Manager. Add the page's GEO target prompts to Trakkr. Run across all product and category pages on a rolling quarterly schedule. Prioritise pages with the lowest current GEO grade first.
Why This Model Works
🎯
Intelligence-led
Every content decision is made based on actual AI prompt gap data from Trakkr — not guesswork or generic keyword tools.
⚡
Speed without compromise
Claude Skills encode specialist GEO knowledge so the content team doesn't need to be experts. Brief to published in under 2 hours.
📈
Compounding returns
Each published article increases Trakkr's baseline. Each schema addition makes more content AI-readable. The system gets more effective as it grows.
🔄
Self-correcting
Monthly Trakkr review closes the loop. If something isn't driving citations, the monitoring catches it within 30 days and redirects effort.
🏛️
Owned, not rented
The Trakkr instance, Claude Skills, and content library are Our Taap assets. They run independently of any agency engagement.
🌍
Platform-agnostic
Trakkr tracks citations across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews simultaneously. The strategy works regardless of which AI users query.
Ready to start?
Phase 1 can begin immediately. No new content, no new spend — just unlocking what you've already built.