Our Taap has the content. AI can't find any of it.
You have 30+ expert FAQs, 9,100 Trustpilot reviews, and a detailed technology page full of citable stats. None of it is visible to ChatGPT, Perplexity, or Google AI Overviews. This strategy changes that — systematically, at scale, and permanently.
Our Taap has invested heavily in content. The infrastructure to make that content AI-readable does not yet exist. These numbers define the immediate opportunity.
0
Schema types implemented
of 8 applicable types
30+
Expert FAQs written
None in FAQPage schema
9,100
Trustpilot reviews
Zero in AggregateRating schema
8
Blog posts published
Zero with Article schema or GEO structure
✗
llms.txt present
AI crawlers have no index
The Strategy
Five layers that build on each other
The strategy is not a list of tactics — it's a compounding system. Each layer unlocks the next. The first layer is almost entirely technical and requires no new content. The last layer builds a media asset that generates citations for years.
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 page 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.
Starting Position
The raw material is strong
Our Taap is not starting from zero on content. The assets that matter most for GEO already exist — they just need the right infrastructure around them.
✓ Strong assets
✓ TaapTech page — 4 named filtration stages with specific percentages (97% chlorine, 99.9% microplastics, 0.67kWh/day)
✓ Competitor comparison table on product page (vs tap, bottled, filter jug) across 9 attributes
✓ 9,100 verified Trustpilot reviews — a major trust and authority signal
✓ Named product tiers (Taap24, Taap12, Taap Flex) and proprietary branding (TaapTech, Four-Stage Difference)
✓ 50,000 customers, 120 million plastic bottles saved — powerful citable stats (currently buried on /our-story/)
✗ Missing infrastructure
✗ No schema markup of any kind on any page type
✗ 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-optimised structure, no proprietary frameworks cited
✗ No GEO monitoring — no visibility into which prompts the brand appears in
✗ No competitor comparison content beyond the single product page table
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.
Schema Audit
Structured data — complete blank
BigCommerce Stencil does not inject schema automatically — it requires manual implementation in theme templates. No schema of any type is currently present on any page of the Our Taap site.
How we confirmed this: Stencil CDN fingerprints (cdn11.bigcommerce.com/s-d021x8i00o/images/stencil/) confirm the Stencil theme is in use. Stencil's default theme outputs no JSON-LD. Without custom template editing, schema is absent by design.
❌
Product schema
Page: /subscription-home-water-system-ii/
❌
FAQPage schema
30+ questions on /faqs/ · 12 on product page
❌
AggregateRating schema
9,100 reviews present, none structured
❌
Organization schema
Homepage — not present
❌
Article schema
8 blog posts — none tagged
❌
HowTo schema
/get-set-up/ — 3-step process, untagged
❌
BreadcrumbList schema
HTML breadcrumbs render; no JSON-LD
❌
SearchAction schema
Homepage — not present
AI Crawler Access
llms.txt — not present
The llms.txt file at the root domain gives AI models a structured, human-readable index of a site's most important content, pages, and context. Its absence means AI crawlers must infer site structure independently — making it significantly less likely they surface the right pages in response to relevant prompts.
❌
ourtaap.com/llms.txt
Not found · 2 hours of work to create and deploy via BigCommerce WebDAV
✅
sitemap.xml
Auto-generated by BigCommerce · all pages indexed
Content Quality
Page-by-page content assessment
GEO readiness is scored on five factors: answer-first structure, stat density, named proprietary frameworks, FAQ presence, and comparison language.
Page
GEO Grade
What's there
What's missing
/tech-page/ (TaapTech)
B+
Four named filtration stages. Specific percentages (97% chlorine removed, 99.9% microplastics, 0.67kWh/day). Proprietary terminology (Four-Stage Difference). This is the strongest GEO asset on the site.
No schema. Page opens with brand copy, not a crawlable answer. Named framework (Four-Stage Difference) not linked from any other page.
Zero FAQPage schema. None of this content is structured for AI. Answers not optimised for AI citation (some are brief, some omit the key fact up front).
/subscription-home-water-system-ii/
C+
12-question FAQ section. Comparison table vs tap/bottled/filter jug. Social proof (Trustpilot). Price transparency. Multiple plan options.
Page opens "Designed to integrate effortlessly into your home" — brand copy, not an answer. No Product schema. No AggregateRating schema. 50k customers stat not on this page.
/our-blog/ (all posts)
D
8 posts. Author attribution ("Bob Fear"). Tags and categories. Related content links. Clean URL structure.
Generic lifestyle titles ("10 reasons to drink more water", "Top ways to stay cool"). No answer-first structure. No stat in first 100 words. No Article schema. No mention of TaapTech or Four-Stage Difference. No comparison content. Not GEO-optimised.
/get-set-up/
C
Clear 3-step installation process. Specific answers to install questions (granite countertops, water softeners, rental properties).
No HowTo schema. No answer-first opening. FAQ section present but unschematised.
Homepage (/)
D+
Strong headline metrics visible in Google snippet ("from £24.99/month", "120 million plastic bottles saved"). Clean URL.
No Organization schema. No SearchAction schema. Brand copy leads — not answer-first. Key stats not surfaced in schema.
Platform vs Intentional
What BigCommerce provides vs what was built deliberately
✓ Comparison table (Our Taap vs 3 alternatives, 9 attributes)
✓ 30+ FAQ questions written across 6 logical categories
✓ TaapTech page with specific filtration percentages
✓ Named proprietary framework — "Four-Stage Difference"
✓ Plan tier naming (Taap24, Taap12, Taap Flex)
✓ Trustpilot integration at scale (9,100 reviews)
✓ 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.
25 Initiatives — Ranked by Impact & Effort
The full strategy
Every initiative scored on Impact (what it moves) and Effort (what it costs). Organised into four tiers. Tier 1 is the 30-day sprint — all high impact, low effort.
H High Impact
M Medium Impact
L Low Effort
M Medium Effort
H High Effort
⚡
TIER 1 — High Impact / Low Effort
Do these in the first 30 days. Maximum GEO return for minimum resource. Largely technical — no new content required.
01
FAQPage 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.
02
FAQPage schema — product page
Impact HEffort L
12 questions already present on /subscription-home-water-system-ii/. Inject JSON-LD via a custom field in BigCommerce. Decision-stage queries ("how does Our Taap work?") will find structured answers immediately.
03
Product schema — product page
Impact HEffort L
Pull directly from Stencil Handlebars variables: {{product.title}}, {{product.price}}, {{product.sku}}, {{product.main_image}}, availability. One template edit. Scales to any future products automatically.
04
AggregateRating schema — Trustpilot
Impact HEffort L
9,100 reviews are a major authority signal — currently invisible to AI. Hard-code current count into AggregateRating schema on product page, or wire to Trustpilot API for live sync. Update quarterly minimum.
05
Product page — answer-first rewrite
Impact HEffort L
Rewrite opening paragraph to lead with the answer: "The Our Taap Home Water System II delivers triple-filtered, UV-purified water across 50 temperature settings — mains-connected, professionally installed." Move 50,000 customer stat from /our-story/ to this page.
06
llms.txt — root domain
Impact MEffort L
Deploy via BigCommerce WebDAV. 2 hours of work. Gives AI crawlers a structured index of key commercial pages, blog content, and brand context. Every AI model that respects llms.txt immediately gains a cleaner picture of the site.
07
Organization schema — homepage
Impact MEffort L
Name, logo, URL, registered address, telephone, social profiles (LinkedIn, Instagram, Facebook), sameAs links. Establishes Our Taap as a named, structured entity in AI knowledge graphs. Foundational for brand citation.
08
Article schema — blog template
Impact MEffort L
One Stencil template change (blog-post.html) adds Article schema to all 8 existing posts and every future post automatically. Includes headline, author, datePublished, image, publisher. No per-post work required.
09
HowTo schema — Get Set Up page
Impact MEffort L
The 3-step installation process (pick a date → professional installation → relax & enjoy) is a perfect HowTo candidate. AI models frequently 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.
10
Build Trakkr instance for Our Taap
Impact HEffort M
Set up a dedicated Trakkr account with prompt clusters across: home water filtration, hard water UK, subscription vs purchase, TaapTech comparisons, hydration and health. This becomes the live GEO intelligence layer — tracking which prompts trigger Our Taap citations and which are gaps.
11
Build Claude Skill: Blog Brief
Impact HEffort M
A custom Claude skill that connects to the Our Taap Trakkr instance, identifies the highest-scoring uncontested prompt gaps, interviews the content lead (using a structured question set), and outputs a ready-to-use GEO content brief. This is the entry point to the content pipeline.
12
Build Claude Skill: Blog Writer
Impact HEffort M
A custom Claude skill with Our Taap's GEO writing rules baked in: answer-first structure, stat in first 100 words, "TaapTech" and "Four-Stage Difference" cited by name, minimum 5-question FAQ section, comparison language in every post. Takes the brief from Skill 11, outputs a publish-ready article.
13
Build Claude Skill: Blog Publishing
Impact HEffort M
Converts a finished article into BigCommerce-compatible HTML, generates the FAQPage JSON-LD schema block, outputs the llms.txt entry addition, and produces a pre-publish GEO checklist. Reduces time from finished draft to live, fully-schematised post to under 15 minutes.
14
Build Claude Skill: Product Page Optimiser
Impact HEffort M
A custom Claude skill that analyses existing product/category page content against GEO criteria, identifies gaps (missing stats, no answer-first opening, absent comparison language, missing schema), and outputs ready-to-implement revised copy and the matching JSON-LD schema blocks for each page.
15
Competitor comparison content hub
Impact HEffort M
Dedicated /compare/ section targeting decision-stage AI queries: "Our Taap vs Quooker", "Our Taap vs Brita Mains Filter", "Our Taap vs TAPP Water", "home water filter subscription vs outright purchase UK". These are high-intent, comparatively uncontested prompts that AI models surface frequently.
16
Trustpilot review mining → structured content
Impact MEffort M
Analyse 9,100 Trustpilot reviews for: recurring customer language, top objections overcome, most common use cases, demographic patterns. Feed insights into FAQ rewrites, testimonial pages, and blog content briefs. The review corpus contains real customer search intent — it should inform GEO content directly.
17
GEO monitoring cadence
Impact MEffort M
Monthly Trakkr review: citation score by prompt cluster, gap identification, content pipeline re-prioritisation. Document as a standing process — this is the feedback loop that keeps the strategy current. Without monitoring, you don't know what's working.
🚀
TIER 3 — High Impact / High Effort
Strategic plays. Month 3 and beyond. These build sustained competitive advantages that compound over years.
18
UK regional water quality content hub
Impact HEffort H
20+ location-specific pages using Drinking Water Inspectorate public data: "Tap water quality in London", "Hard water areas Birmingham", "What's in Manchester tap water?". Each page: local hardness stats, contaminant levels, filtration case. Hyper-specific, localised, data-backed — exactly what AI models prefer to cite over generic content.
19
Data-led PR / original research
Impact HEffort H
Annual "UK Home Water Quality & Filtration Report" — compile or commission original data. Pitch to Which?, The Guardian (Health), Times, Good Housekeeping. The highest long-term GEO play: become the cited source, not just the cited brand. AI models weight content referenced by authoritative third parties far more heavily.
20
YouTube channel — GEO-optimised video content
Impact HEffort H
Build a structured video library with each video paired with a dedicated landing page. Core content: installation walkthrough (HowTo schema), Four-Stage Difference explainer (TaapTech), tap water quality by UK region, customer stories, "Our Taap vs [competitor]" head-to-head videos. Naming convention: question-first titles ("What does a home water filter actually remove from your tap water?"). YouTube transcripts are indexed and cited by Perplexity, Gemini, and Google AI Overviews. Each video landing page carries: full transcript, FAQPage schema, Article schema, and internal links to commercial pages. This is a media asset that generates citations for years.
📌
TIER 4 — Medium Impact / Low–Medium Effort
Solid supporting work. Fit in alongside Tier 1 and 2 without blocking the primary work.
21
BreadcrumbList 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.
22
SearchAction schema — homepage
Impact MEffort L
Enables Google sitelink search box in results. Low effort, reinforces site authority signals and helps AI models understand navigational intent.
23
Internal link audit
Impact MEffort L
"TaapTech" and "Four-Stage Difference" are referenced only on the tech page. These proprietary concepts need links from the product page, FAQs, and every blog post that mentions filtration. Named framework consistency drives AI citation.
24
Blog category expansion
Impact MEffort M
Current tags (Healthy Living, Hydration, Environment) are generic. Add: "Water Quality UK", "Home Filtration", "Subscription Water Systems", "TaapTech" — aligned to Trakkr prompt clusters so blog content maps directly to tracked AI queries.
25
Community / 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, and subscription water systems. These forum answers surface directly in Perplexity citations and Google AI Overviews.
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 machine is live and producing GEO-optimised material 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 linking to Trustpilot 9,100 reviews.
Day 3: Organization schema on homepage. llms.txt deployed via WebDAV — indexes all key commercial pages, blog, and tech page.
Day 4–5: Article schema added to blog Stencil template (covers all 8 existing posts immediately). HowTo schema on Get Set Up 3-step process. BreadcrumbList JSON-LD sitewide.
Day 6–7: Product page opening paragraph 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 added. SearchAction schema on homepage.
Day 8–10: QA across all schema using Google Rich Results Test. Submit updated sitemap. Validate llms.txt structure.
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 score 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 a GEO-optimised content 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, 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 product or category page URL, identifies GEO gaps vs 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 SEO or GEO knowledge.
Month 2: Run the blog pipeline for the first time. Trakkr identifies top 5 uncontested prompt gaps. Claude Skill generates 5 GEO-optimised briefs. Content team (or Claude Skill) writes articles. Blog Publishing Skill converts and publishes. All 5 posts live with FAQPage schema and Article schema within 2 weeks.
Month 2: Trustpilot review mining — analyse 9,100 reviews for customer language, objections, and use cases. Output: 15+ FAQ rewrites, 3 testimonial page drafts, 10 blog brief seeds.
Month 2–3: Build competitor comparison hub (/compare/). Initial pages: Our Taap vs Quooker, Our Taap vs Brita Mains, Our Taap vs TAPP Water, Water filter subscription vs outright purchase UK. Each page: answer-first, data-led, FAQPage schema, structured comparison table.
Month 3: Update blog categories to align with Trakkr prompt clusters. Add "Water Quality UK", "Home Filtration", "TaapTech" as primary categories. Retrospectively tag existing posts.
Month 3: Community seeding begins — Reddit (r/homeimprovement, r/AskUK) 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. Build 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, top contaminants, filtration case. Automated via the BigCommerce 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, or commission a consumer survey (1,000 homeowners). Draft findings. Prepare press release. Distribute to Which?, Guardian Health, Times, Good Housekeeping, and relevant home/lifestyle press.
Month 4+: YouTube channel — first 10 videos planned and scripted. Priority order: 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, "Is hard water bad for you?" 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 content priorities. If regional pages drive citation growth faster than expected, accelerate. If video is outperforming blog, shift resource. The monitoring cadence built in Phase 2 is what makes Phase 4 decisions evidence-based.
Phase 4 outcome
Our Taap is no longer just a cited brand — it's becoming 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 channel produces a library of AI-indexable video content. Our Taap is now the authority on home water filtration in the UK.
Existing content assets become AI-readable for the first time. Schema eligible for Google rich results.
Month 1–2
Trakkr live · 4 Claude Skills built · Monitoring cadence established
GEO intelligence system operational. Content team can produce and publish GEO-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 AI 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 library compounds authority over time.
The Content Intelligence System
Trakkr + Claude Skills: how the pipeline works
The content pipeline is the most significant long-term asset in this strategy. It replaces the need for specialist GEO expertise with a systematic, repeatable process that any content team member can run. Here is exactly how it works.
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 is scored 0–100 on traffic potential and citation difficulty. Prompts scoring above 70 with no current Our Taap citation are the target. Typical examples: "Is a home water filtration system worth it UK?", "How does UV purification work in a water filter?", "What is the best mains-connected water filter UK 2026?"
2
Claude Skill: Blog Brief — structure the brief
Open Claude with the Blog Brief skill active. The skill pulls the target prompt from Trakkr, asks 6 structured questions (key argument, supporting stats, competitor angle, brand differentiators to cite, FAQ questions, CTA), and outputs a publish-ready brief with: target prompts, H2 structure, stat requirements, required TaapTech/Four-Stage Difference citations, FAQ section outline, and word count guidance.
3
Claude Skill: Blog Writer — write the article
Pass the brief to the Blog Writer skill. The skill applies Our Taap's GEO writing rules 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 with correct heading hierarchy, 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 or custom field. Article is live, fully schematised, and tracked in Trakkr within 15 minutes.
5
Trakkr — measure and re-prioritise
Monthly: return to Trakkr. Check citation score for the published article's target prompt. If the citation score has improved, the article is working. If not, Trakkr will surface why — and the skill will generate a revision brief. Use the monthly Trakkr report to identify the next 4–5 gaps to brief. The cycle repeats.
Pipeline B — Product Page Optimisation
Continuous product page GEO improvement
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, suggested stat additions, 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.
3
Implement and track
Apply revised copy via BigCommerce page editor. Add schema blocks via Script Manager. Add the page's GEO target prompts to Trakkr for tracking. Run this process across all product and category pages on a rolling quarterly schedule. Prioritise pages with the lowest current GEO grade first.
Why This Model Works
The compounding advantage
🎯
Intelligence-led
Every content decision is made based on actual AI prompt gap data from Trakkr — not guesswork or generic keyword tools. You know exactly which queries to target before writing a word.
⚡
Speed without compromise
The Claude Skills encode specialist GEO knowledge so the content team doesn't need to be experts. Brief to published article in under 2 hours. GEO rules are applied automatically, not remembered.
📈
Compounding returns
Each published article increases Trakkr's baseline. Each schema addition makes more existing content AI-readable. Each regional page adds to authority. The system gets more effective as it grows — not less.
🔄
Self-correcting
Monthly Trakkr review closes the loop. If something isn't driving citations, the monitoring catches it within 30 days and redirects effort. No 6-month campaigns that nobody reviews.
🏛️
Owned, not rented
The Trakkr instance, Claude Skills, and content library are Our Taap assets. They run independently of any agency. The system outlasts any single engagement.
🌍
Platform-agnostic
Trakkr tracks citations across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews simultaneously. The strategy works regardless of which AI assistant users query.
Ready to start?
Phase 1 can begin immediately. No new content, no new spend — just unlocking what you've already built.