salesolution

AI search,engineered.

Built for industrial e‑commerce. Hydraulics, MRO, and technical distribution — we engineer how AI Overviews and generative engines cite your category.

What it looks like when we’ve done the work

google.com/search?q=best+jic+hydraulic+fittings+high+pressure
best jic hydraulic fittings for high-pressure systems
AI Overview
Generated · 2.1s
JIC (Joint Industry Council) fittings are ideal for high-pressure hydraulic systems due to their 37° flare seal design. According to Northern Hydraulics[1], the 1/2" NPT-to-JIC adapter is the most commonly specified connector for industrial applications above 3,000 PSI, with the 37° angle providing a positive seal against vibration.

Citations · 3 sources

  • [1]northernhydraulics.com
  • [2]parker.com
  • [3]eaton.com

Try it on your own page

AI-Readiness Probelive
https://
Schema
AI-readable
E-E-A-T

Awaiting URL · Results in ~2s

Deterministic · No data stored
Engineered for
  • Deventor
  • Modern Wood Flooring
  • Northern Hydraulics
  • Hosebox
  • Longhorn
  • Deventor
  • Modern Wood Flooring
  • Northern Hydraulics
  • Hosebox
  • Longhorn

The click is moving inline.

AI Overviews intercept a growing share of searches before the click ever reaches your store. For engineers spec’ing JIC fittings and threaded couplings, that’s a structural shift in discovery — not a content problem you can write your way out of.

Coverage vs. CTR · Aug 2024 – Jul 2026Smoothed pattern from BrightEdge / Pew tracking. Exact monthly values illustrative; the shape is the point.
0255075100A24FAFJA24 · AIO coverage 14%A24 · CTR index 100S · AIO coverage 16%S · CTR index 98O · AIO coverage 19%O · CTR index 95N · AIO coverage 22%N · CTR index 91D · AIO coverage 25%D · CTR index 87J25 · AIO coverage 28%J25 · CTR index 83F · AIO coverage 31%F · CTR index 79M · AIO coverage 33%M · CTR index 76A · AIO coverage 36%A · CTR index 73M · AIO coverage 38%M · CTR index 71J · AIO coverage 40%J · CTR index 69J · AIO coverage 42%J · CTR index 67A · AIO coverage 43%A · CTR index 66S · AIO coverage 44%S · CTR index 65O · AIO coverage 45%O · CTR index 64N · AIO coverage 46%N · CTR index 63D · AIO coverage 47%D · CTR index 62J26 · AIO coverage 48%J26 · CTR index 61F · AIO coverage 49%F · CTR index 60M · AIO coverage 50%M · CTR index 60A · AIO coverage 50%A · CTR index 59M · AIO coverage 51%M · CTR index 59J · AIO coverage 51%J · CTR index 58J · AIO coverage 52%J · CTR index 58
AIO coverage52%
CTR · affected queries58
  • The vanishing click

    AI Overviews answer more queries inside the SERP. Informational pages that used to drive traffic now drive impressions without clicks.

  • The outmoded toolkit

    Keyword-rank tracking and link counts no longer predict revenue. The signals that move AI surfaces are different from the ones legacy tools measure.

  • The new guide

    AI surfaces favor structured, citation-worthy content with deep topical authority. The product detail page is now an answer source, not a landing spot.

A 3-phase adaptation framework.

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

Start

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

  1. AI-Ready Foundation

    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.

  2. Authority & Engagement

    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.

  3. Sustainable Growth

    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.

Four practice areas. One team.

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.

AI-Ready Technical Foundations

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 page
  • Advanced schema

    Product specs, compatibility matrices, technical documentation marked up for LLM comprehension.

  • Core Web Vitals

    Sub-second loads — the table-stakes preference for AI surfaces and technical buyers.

  • B2B feed engineering

    Google Merchant Center, Amazon Business, Thomasnet, GlobalSpec — feed quality, not just feed coverage.

  • JS-rendered data

    Real-time inventory, pricing, and spec updates that AI parsers can still consume.

schema.org/Product · JSON-LDexcerpt
{
  "@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"
  }
}
AIO-parseable · 9/9 required properties

How to work with us

Three ways in. All priced.

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

    Sprint

    $12–24k

    "Show me this works before we commit."

    • Single-category schema rewrite
    • 20–40 page content restructure
    • 90-day AIO citation tracker
    • One executive readout
  • Most engagements start here

    Quarterly · ongoing

    Operator Retainer

    $8–14k / month

    "We know we have the structural problem. Fix it."

    • Schema, content & feed engineering on cadence
    • Citation building + topical authority work
    • Monthly outcome reviews on the metrics that matter
    • Direct Slack to the operator (no PMs)
  • Multi-quarter · by scope

    Embedded

    From $28k / month

    "We need fractional Head-of-AI-Search seniority."

    • Acts as your AI-search lead
    • Hires + trains your in-house team
    • Owns the org-level GEO strategy
    • Quarterly board-level reporting

Need something different — M&A diligence, in-house team training, board-level GEO advisory? Get in touch.

Case study · Industrial hydraulics distributor · Aug 2024 – Jan 2025

1,840 to 2,640 qualified leads / mo. No new ad spend.

+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 audit
Qualified leads · per monthSource: client’s CRM, anonymized · monthly aggregate
1,5002,0002,5003,000Aug · 1,840 leads · +0 from baselineSep · 1,990 leads · +150 from baselineOct · 2,210 leads · +370 from baselineNov · 2,360 leads · +520 from baselineDec · 2,480 leads · +640 from baselineJan · 2,640 leads · +800 from baselineAugSepOctNovDecJan2,640
They rebuilt our product schema and rewrote our pillar pages so AI Overviews cite us instead of the manufacturer. Qualified leads doubled inside two quarters.
Operations DirectorIndustrial hydraulics distributor · ~8,500 SKUs
$378M
Revenue driven for clients
91%
Client retention rate
2.5x
Average ROI in 12 months
96
Net Promoter Score

Who’s doing the work

One operator. No agency layer.

I’m Artur Shepel— the person who writes the schema, reviews the citation paths, and tells you which category page to fix first. Fourteen years inside industrial and technical-distribution e‑commerce. Hydraulics, MRO, contract manufacturing, electronics.

Sale Solution is small on purpose. No account managers, no decks from a junior analyst, no “we’ll get back to you next quarter.” You work with the person whose name is on the proposal.

Artur ShepelFounder & AI-Growth Strategist
Years operating
14yrs
Verticals shipped
8
Engagements active
6

Operator stance

“The product detail page is now an answer source. If your schema can’t describe a JIC fitting in 9 fields, you don’t exist in the AI Overview for it.”

Recognize any of these?

Tap the ones that match your store. Two or more usually means it’s structural — not something you can write your way out of.

0/5checked

Pick what applies
Take the readiness audit

Before you book

Questions founders ask first.

Pulled from real strategy calls. No marketing softening.

  • 01Won’t AI search just stabilize and we’ll be fine?

    The structural change is one-way. AI Overviews aren’t a search feature on top of links — they’re a new retrieval layer that re-ranks what gets cited. Google has invested too much in Gemini-powered surfaces to retreat.

    What changes month-to-month is which queries trigger AIO(the coverage rate). What doesn’t change is which sites get cited when they do. The latter is the work.

  • 02Why not just hire an in-house SEO?

    In-house wins when you’re north of $50M ARR and have enough velocity to keep someone with senior GEO chops fully utilized. Below that, you end up with a generalist learning on your time.

    The fractional model exists because schema engineering, citation tracking, and AIO-aware PPC don’t need a 40-hour week from one person — they need 5–15 hours from the right one.

  • 03How do I know it’s working in 90 days?

    Three leading indicators land in the first 60 days, before the revenue numbers move:

    • AIO citation coverage on your top 50 commercial queries
    • Schema completeness rate across the product catalog
    • Inbound query mix (informational vs commercial split)

    You see them in the monthly outcome review. Qualified-lead lift shows up months 4–6, depending on how broken the foundation was when we started.

  • 04What if we’re not in hydraulics or MRO?

    The playbook works for any technical-distribution or specification-heavy e-commerce: electronics, contract manufacturing, lab supply, industrial automation, fluid power, fasteners, abrasives. If buyers read a spec sheet before they purchase, the same mechanics apply.

    If you sell something that doesn’t require specification comparison (commodity SKUs, generic consumer), we’ll tell you on the first call. Not every vertical needs us.

  • 05What actually happens on the first call?

    15 minutes, no deck. You paste 3–5 of your highest-revenue category URLs. We walk through them live: schema completeness, AIO-readiness score, the queries you’re cited for vs the queries your competitors are.

    You leave with either: (a) the single change with the highest payback, or (b) confirmation that your foundation is solid and you don’t need us yet.

15 minutes. The one constraint.

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.