MARKET AMPLIFICATION

TARGET THE RIGHT BUYERS AND GET FOUND WHEN THEY LOOK

B2B buying cycles are long, quiet, and complex. We work your named accounts, and make sure you read accurately to buyers building a shortlist.

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Buyers involve more people and do more research before speaking to you. That splits the work in two: the accounts you go after directly, and everything that happens without you.

Account-Based Marketing

For the accounts you name

Account-based marketing treats a named list of accounts as the market, not a segment. Each account gets attention set by how much it is worth winning.

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We apply a tiered ABM model to scale outreach effectively across different levels of buyer intent and value:

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One to many

Broad, inbound-style campaigns to attract interest across your target market. Useful for generating awareness, capturing early intent signals, and identifying potential accounts.

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One to a few

Focused campaigns tailored to a defined group of high-value accounts. Combines personalisation with automation to drive deeper engagement.

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One-to-one

Highly personalised, account-specific campaigns developed in close alignment with sales. Reserved for your most valuable commercial opportunities.

Powered by Loop Marketing in HubSpot

We activate this ABM model using HubSpot's Loop Marketing system, which brings together data, automation, and reporting in a single platform, so your marketing is: 

  • Data-led, providing a clear view of account activity and intent
  • Automated, enabling scalable personalisation and timely outreach
  • Accountable, with full-funnel reporting to track what’s working
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funnel

Before you are
in the room

By the time you are contacted, the shortlist is drawn. Direct outreach covers the accounts you name. Whether you make that shortlist depends on what a buyer finds without you.

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Answer Engine
Optimisation


Make your technical expertise machine-readable.
We optimise your outward-facing content, so generative AI engines accurately find, understand, and cite your business.

Answer Engine Optimisation (AEO) is an extension of Search Engine Optimisation for AI tools like ChatGPT, Claude, and Gemini. The objective is unchanged, being found and accurately understood. What changes is that these tools answer the question directly rather than listing links.

Around 29% of B2B buyers now begin their research with AI tools (McKinsey, 2026). That means an engine is summarising your capabilities, approvals, and site footprint before anyone opens your website.

If that data is unstructured, the summary gets assembled from whatever the engine can find. Approvals come back wrong. Sites get left out. A wrong specification costs you the buyer's trust before a human conversation starts.

AEO reduces that risk by making your verified data the version AI engines read.

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Structure
and accuracy

Where SEO rewards keywords and backlinks, AEO rewards structure and accuracy. AI engines answer from your content rather than linking to it, so what matters is whether your data is complete, verified, and clear enough for an engine to use with confidence.

  • Visibility audit: We test how the major AI engines currently describe your capabilities and sites, and identify where the answers are thin, incorrect, or missing.

  • Structured capability data: We turn your positioning, technical specifications, and compliance boundaries into machine-readable schema across your capability, service, accreditation, and site pages.

  • Content structure: We rebuild those pages so the answer to a buyer's question is extractable and consistent wherever an engine finds it.

  • Ongoing monitoring: We track how you are described and cited across the leading answer engines, measure share of voice, and flag when a competitor is named in your place.
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Where should we start, and with how many accounts?

It depends on which level you are starting at. One-to-one is bespoke and sales-aligned, so one or two accounts at first. One-to-a-few is where most programmes begin in practice, and ten to fifteen accounts is workable because the assets get built once and reused across the group. One-to-many is not an account list at all; it is a defined market, so it scales with your data rather than with headcount.

How do ABM and AEO work together?

They cover different parts of the same cycle. Account-based campaigns reach the accounts you have chosen, on your timing. Answer engine optimisation covers the research that occurs before you are contacted, which you cannot control or schedule. Both write to the same HubSpot record, so engagement from one informs the other.

How do we find out what AI engines say about us now?

That is the visibility audit, and it is the first thing we run. We test how the major engines describe your capabilities, approvals and sites, then record where the answers are thin, wrong or missing. You get the actual responses rather than a score, so you can see which claims need correcting at source.

How tailored is this approach to our sector or service offering?

Every programme is built around your positioning, your buyers and your sector, whether that is electronics manufacturing, life sciences, or specialist contract services. The framework stays consistent; the execution is bespoke.

Once the structured data is built, what does it cost to keep up?

The build is one-off. Monitoring is not, because the engines change what they read and competitors change what they publish. Ongoing work follows a monthly cycle: check what the engines say, correct any errors at the source in the knowledge base, and track which competitors are named alongside you. It runs on the same knowledge base as your content, so it is one governance process rather than two.

What do we measure across both?

For campaigns: account engagement, pipeline progression and revenue influence, reviewed quarterly. For answer engines: how you are described, which questions you appear for, share of voice, and when a competitor is named in your place. Both are reviewed on the same cycle, so they are read together rather than separately.

Why it matters

Beyond the shop floor

The plant runs on measurement, process control and quality gates. The commercial front end has been left to run on judgement and habit. This report sets out what engineering it to the same standard involves.

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THE METHODOLOGY

THE COMMERCIAL INTELLIGENCE ENGINE

  • Step 1 of 5:

    Commercial Diagnostic

    A 90-minute diagnostic that gives your leadership team a clear picture of where the commercial system is limiting growth.

  • Step 2 of 5:

    Value Architecture

    Facilitated sessions that surface why customers choose you, who you are for, and the technical and regulatory boundaries the work runs inside.

  • Step 3 of 5:

    The Intelligence Layer

    A governed knowledge base that keeps AI-generated content accurate, on-message, and consistent with how you actually win business.

  • Step 4 of 5:

    Commercial Data

    One shared source of qualified data, so marketing and sales stop working from different pictures of the same accounts.

  • Step 5 of 5:

    Market Amplification

    Account-based campaigns that reach the accounts you name, and answer engine optimisation so buyers researching without you read something verified.

why work with
equinet media?

HubSpot Solutions Partner since 2011 (1)

HubSpot Solutions Partner since 2011

Hubspot-Partner-Rating

Outstanding 
customer rating

equinet-media-hubspot-retention-rate

Customer retention rate on HubSpot

Years of delivering exceptional results (1)

Years of delivering exceptional results 
for customers

WHERE TO START

Whether you want to talk it through or stay in the loop, here's how.  

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CONTACT US

You know your goals.  If it would help to talk through how we could support that, send us a message, and we will reply within one business day.

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THE NEWSLETTER

The Growth Brief lands once a month, covering what we are seeing across contract manufacturing and what it means for your go-to-market strategy.