Services / AI search · GEO
We engineer your store to be the source generative engines pull from. Schema depth, citation engineering, AI-readable content, and AIO-aware PPC — one operator-led team, no agency layer.
The market reality
Technical-distribution e‑commerce is the canary. Three metrics moved in lockstep across our client portfolio and the public benchmarks — and none of them are going back.
Δ · 18 months
+0%
CPC costs
B2B paid-search benchmark · WordStream + Tinuiti, 2025
Δ · 18 months
−0%
CTR on AIO-triggered queries
BrightEdge + Pew AIO tracker, Q1 2026
Δ · 18 months
+0%
Lost backlinks · informational
Ahrefs Content Explorer, Aug 2024–Jan 2026
A single engineering-and-content team across the full discovery stack — technical foundations, content authority, channel diversification, conversion data. No handoffs, no agencies of agencies.
Engineering your e-commerce platform so AI crawlers can read it without ambiguity, and so AI Overviews and shopping surfaces have the structured signal they prefer to cite.
See the foundations detail pageProduct specs, compatibility matrices, technical documentation marked up for LLM comprehension.
Sub-second loads — the table-stakes preference for AI surfaces and technical buyers.
Google Merchant Center, Amazon Business, Thomasnet, GlobalSpec — feed quality, not just feed coverage.
Real-time inventory, pricing, and spec updates that AI parsers can still consume.
{
"@context": "schema.org",
"@type": "Product",
"name": "1/2" NPT–JIC Hydraulic Fitting",
"brand": "Parker Hannifin",
"sku": "P-37-NPT-08",
"description": "37° flare seal, 3000 PSI working pressure...",
"offers": {
"@type": "Offer",
"price": "24.50",
"priceCurrency": "USD",
"availability": "InStock"
}
}One operator, three sequential phases. Each phase has an exit criterion that clears before we move — so gains compound instead of stacking on an unbuilt foundation.
Phase · 01
Foundation
Months 1–3
Outcome by end of phase
+0%
AIO citations
Phase · 02
Amplify
Months 4–9
Outcome by end of phase
+0%
qualified leads
Phase · 03
Lead
Months 10+
Outcome by end of phase
0.0×
ARR multiple
Technical, structural, and content fundamentals that make your store legible to AI parsers and ranking models.
Technical excellence
Schema, product feeds, site speed, mobile-first — the AI parser's preconditions.
Platform diversification
YouTube and LinkedIn presence calibrated to a technical buyer audience.
Content clarity
Product pages and guides structured for AI parsing and H-E-E-A-T alignment.
Frictionless checkout
Modern payment paths and quote flows that match technical-buyer expectations.
Topical depth, citation engineering, and engagement systems that compound your visibility quarter over quarter.
Hyper-personalization
Customer data drives tailored experiences that lift CLV.
Intelligent PPC
Paid search adapted for AI ad surfaces and conversational queries.
Omnichannel SEO
Unified messaging across every surface AI engines crawl.
AI-driven insights
New visibility KPIs that keep the strategy honest quarter over quarter.
Ongoing optimization cycles that ride algorithm changes instead of reacting to them.
Cited authority strategy
Pillar pages, topic clusters, and structured data tuned for generative engines.
Digital PR & citation engineering
Trade press, podcasts, webinars — sources AI engines preferentially reference.
AI trust monitoring
Brand sentiment, citation tracking, and competitive positioning inside AI surfaces.
Compounding revenue cycles
A/B testing, lifecycle systems, and revenue-per-visitor optimization.
Build vs buy
Not every buyer should hire us. For some you’re better with a generalist agency; for others, an in-house head of SEO. Here’s the honest read.
| Dimension | Recommended Sale Solution | Alternative Typical SEO agency | Alternative In-house hire |
|---|---|---|---|
| AI-search / GEO depth | Core competency | Add-on at best | If you can hire it |
| Vertical specialisation | Industrial / technical-distribution | Generalist | Yours by default |
| Who actually does the work | The operator on the call | Junior team after handoff | Your hire |
| Time to first shipped change | Week 1–2 | Month 2–3 | Hiring cycle: 3–6 months |
| Fixed cost / month | $8–14k retainer | $5–25k retainer | $15–25k all-in / FTE |
| Reporting cadence | Monthly outcome review · weekly Slack | Quarterly business review | Whenever you ask |
| Risk if it doesn’t work | 90-day exit, no obligation | 12-month contract | Severance + rehire cost |
| Where this wins | $5–50M ARR · technical e-com | Generic DTC · early stage | $50M+ ARR · enterprise |
Not in the “Sale Solution” row? We’ll tell you on the first call — and we’ll usually recommend who you should hire instead.
How to work with us
No discovery calls before the proposal. Pick the shape that fits, we tighten the scope on the first call, and you see the SOW within 48 hours.
4 weeks · fixed scope
$12–24k
"Show me this works before we commit."
Quarterly · ongoing
$8–14k / month
"We know we have the structural problem. Fix it."
Multi-quarter · by scope
From $28k / month
"We need fractional Head-of-AI-Search seniority."
Need something different — M&A diligence, in-house team training, board-level GEO advisory? Get in touch.
What happens after you book
Every founder we’ve worked with was burned by an opaque agency at some point. The timeline below is what you can expect from the moment you book the call.
Day 0
Start here
You paste 3–5 high-revenue category URLs. We walk through them live: schema completeness, AIO-readiness, citation gaps.
You’ll see
You leave with the single change that has the highest payback.
Day 1–2
One-page audit emailed within 24h. If we're a fit, an SOW follows in another 24h — scope, deliverables, fixed start date.
You’ll see
You decide. We don't chase.
Week 1
Read access to GA4 / GSC / your CMS. Baseline crawl + citation snapshot. We ship one visible change so trajectory starts immediately.
You’ll see
First measurable lift on a target query.
Week 2–3
Product schema rebuilt across top 200 SKUs. Category pages restructured for AIO scannability. First answer hub published.
You’ll see
AIO citation tracker shows movement on top 50 commercial queries.
Week 4
Schema completeness, AIO citation rate, citation-share vs competitors. Three forward bets for next 60 days.
You’ll see
Lagging revenue indicators start to move months 4–6.
Case study · Industrial hydraulics distributor · Aug 2024 – Jan 2025
+800 leads per month
Additional qualified leads per month by January — roughly +43.5% on the August baseline.
Six-month engagement across technical SEO, content authority, and a tighter PPC stack. Product schema rewrite, 150+ category pages restructured for AI scannability, dedicated answer hubs for engineering queries. The chart tracks qualified inbounds — not impressions, not raw sessions.
Book a similar auditThey rebuilt our product schema and rewrote our pillar pages so AI Overviews cite us instead of the manufacturer. Qualified leads doubled inside two quarters.
Services FAQ
Engagement specifics. Stack questions. The honest sizing thresholds.
One operator owns strategy, schema, content, and reporting — not four sub-agencies stitched together. Vertical specialisation (industrial / technical-distribution e‑commerce, not generalist). Published prices, 24-hour SOWs, 90-day exit.
SEO targets traditional ranking. GEO (Generative Engine Optimization) targets being the source AI engines pull from when they generate an answer. AIO citations, ChatGPT/Perplexity mentions, AI-shopping retrieval are GEO surfaces.
We do both because revenue flows through both. Most engagements weight 60% GEO / 40% SEO in 2026.
AI Overviews answer queries inside the SERP, eating the click before users reach you. Rankings can hold while sessions drop 20–40%. The fix is structured-data depth, citation engineering, and content shaped for AI parsing.
Yes to all three. Our hydraulics / industrial clients run mostly on WooCommerce or headless setups; DTC-adjacent clients are largely Shopify. The framework adapts to the stack — the schema layer is where we spend our work.
Revenue and ARR are the primary KPIs. Leading indicators we report monthly: AIO citation coverage on target queries, citation-share vs competitors, schema completeness rate, and qualified-lead inflows segmented by intent.
Yes — the Sprint engagement ($12–24k, 4 weeks) is purpose-built for a single category overhaul. Smaller than that we don’t offer; the setup cost doesn’t amortise.
We see the best results above $200k/month in e-commerce revenue, roughly $2.5M ARR. Below that, our pricing is hard to justify against simpler agencies — we’ll tell you so on the first call.
The playbook works for any specification-heavy e‑commerce: electronics, contract manufacturing, fluid power, lab supply, fasteners, abrasives, industrial automation. If your buyers read a spec sheet before they purchase, the mechanics apply.
Free, no sales pitch. We’ll review your top product categories against the AI-Readiness checklist and tell you the single change with the highest payback.