Skip to content
MCG Growth Marketing logoMCG Growth MarketingFractional CMO & Consultancy
AI Search Visibility

Be the business AI recommends when your buyer asks

Your next customer may never see a search results page. They will ask an assistant who the credible options are, and act on the three names it gives them. This work makes sure yours is one of them — and that the description attached to it is the one you would have written.

Book a call
The problem

Answer engines summarise your market. Most SMEs are not in the summary.

Buying research has moved. Instead of ten blue links, a buyer gets one synthesised answer citing a handful of sources — and the shortlist is formed before your website is ever considered. If the assistant does not know what you do, who you serve or why you are credible, you are absent from the decision entirely.

This is not a ranking problem, it is a representation problem. These systems assemble a picture of your business from your site, your structured data, directories, trade press, review platforms and anywhere else your name appears. Inconsistency between those sources produces a vague, low-confidence answer — and low-confidence entities do not get recommended.

The businesses being cited are rarely the biggest. They are the ones whose content answers specific questions directly, whose expertise is verifiable, and whose entity information is unambiguous across the web. That is an achievable position for an SME, and right now it is achievable cheaply, because most of your competitors have not started.

Outcomes

What changes for your business

  • Citations and mentions across ChatGPT, AI Overviews, Gemini, Copilot and Perplexity.
  • An accurate, favourable description of your business in AI answers, not a vague one.
  • Content structured so both buyers and answer engines can extract the answer fast.
  • Enquiries that arrive better informed and closer to a decision.
  • A visibility baseline you can track as generative search keeps changing.
Scope

What the work involves

AI visibility baseline

A defined set of real buying questions tested across the major assistants, recording whether you are cited, how you are described, and which competitors and third-party sources are being quoted instead.

Entity and credibility signals

Consistent naming, location, services, credentials and authorship across your site, Organization and Person schema, Google Business Profile, directories and trade listings — so the machines know exactly what you are.

Question-led content architecture

Pages and sections built around the questions buyers actually ask, answering in the opening lines, with the specifications, comparisons and pricing logic that make a page worth quoting.

Structured data and crawlability

FAQ, Service, Article, Product, Organization and Breadcrumb schema implemented correctly, plus the technical hygiene AI crawlers depend on: clean rendering, fast delivery and sensible crawler access rules.

Off-site presence and measurement

Placement in the third-party sources your sector's answers draw on, then monthly reporting on citation share, AI Overview presence, assistant referral traffic and enquiry quality.

Fit

Realistic expectations

  • Entity and schema fixes can change how you are described within weeks.
  • Citation share builds over three to six months of consistent publishing.
  • Assistant referral volume is still small — quality and influence are the payoff.
  • This works best layered onto sound traditional SEO, not instead of it.
  • The tactics will keep shifting; the fundamentals of clarity and evidence will not.
In detail

How this works in practice

The detail behind the headline: how the work is structured, what it depends on and how progress is judged.

How answer engines actually choose their sources

Assistants resolve a question in roughly three moves: interpret intent, retrieve candidate sources (from a search index, their own crawl, or both), then synthesise an answer from the passages they trust most. Every part of that favours content that is unambiguous at the passage level — a self-contained paragraph that answers one question completely, without requiring the surrounding page for context.

Trust is inferred rather than measured. Consistency of entity information, verifiable credentials, named authorship, specific and checkable claims, corroboration by independent sources, and recency all raise the probability of being quoted. Vagueness lowers it. This is why marketing copy written to sound impressive — 'innovative solutions', 'industry-leading service' — is almost never cited: there is nothing in it to extract.

The practical implication is uncomfortable but useful: the content that wins here is the content your competitors are reluctant to publish. Real numbers, real specifications, real limitations, real pricing logic, honest comparisons including where you are not the right answer.

Structuring content so it can be quoted

Every page gets an extractable spine: a question-shaped heading, a direct answer in the first two sentences, then the evidence. Long preambles bury the answer and get skipped. Where a topic has multiple sub-questions, each gets its own heading and its own complete answer rather than being folded into flowing narrative.

Structured data makes the same information machine-readable. FAQPage for question content, Service for what you sell, Organization and Person for who you are and what qualifies you, Product where relevant, BreadcrumbList for context. Schema does not create authority, but it removes ambiguity — and ambiguity is what keeps you out of answers.

Formatting decisions matter more than they used to. Comparison tables, specification lists, defined terms, clear units and named processes are all easy for a model to lift accurately. Screenshots of information, text inside images, and content that only appears after client-side interaction are effectively invisible.

Entity clarity and the off-site half of the job

An assistant's confidence in describing you depends on agreement across sources. If your website, LinkedIn, Google Business Profile, trade directories and old press mentions describe your business differently, the model hedges — and a hedged answer rarely includes a recommendation. Auditing and aligning that footprint is unglamorous, quick, and one of the highest-return tasks available.

Then there is presence in the sources your sector's answers are actually built from. In industrial and technical markets that means trade publications, supplier and distributor sites, standards bodies and association listings. In retail and SaaS it is review platforms, comparison sites, marketplace listings and category roundups. Earning a place in those is closer to PR and partnership work than to link building, and it is what makes you findable in answers about your category rather than only about your name.

Reviews and third-party sentiment feed the same system. Assistants summarise reputation as readily as capability, so a steady flow of specific, recent reviews shapes how you are described to a buyer who has never visited your site.

Measurement, and what to stop measuring

There is no rank tracker for generative search, so measurement is built from four sources: periodic citation testing across a fixed question set, AI Overview presence for commercial terms, referral traffic from assistant domains in GA4, and enquiry-level evidence — asking every enquirer how they came to be talking to you and logging it in the CRM.

Some traditional metrics deserve demotion. Total organic sessions will drift down as informational queries resolve without a click, and treating that as failure leads businesses to defend content that never generated revenue. Cost per qualified enquiry, enquiry quality and pipeline contribution stay meaningful regardless of how discovery changes.

The honest position is that this discipline is eighteen months old and the tactics will change. What will not change is the underlying requirement: a business that has published genuine, specific, verifiable expertise, consistently described everywhere it appears. Everything else is implementation detail — and implementation detail is what I look after.

Free playbook

The AI Marketing Playbook for SMEs

Everything in these articles, consolidated into a nine-page playbook you can work through with your team — the operating model, the workflows worth building first, and the guardrails that keep AI from diluting your brand.

  • The three-layer AI operating model for a small team
  • The first five workflows to build, in order
  • AI search visibility (AEO) and how to measure it
  • Governance, accuracy and brand-voice guardrails
  • A 90-day adoption plan and scorecard

PDF · 9 pages · your details are used to send the playbook and nothing else.

Free website checker

See what AI search can actually read on your site

The free website checker scores your AI visibility alongside findability, message clarity, conversion path, credibility and technical health — then tells you what to fix first.

Check my website
Watch

Marketing thinking in short form

Strategy, SEO and paid search explained in a couple of minutes on Instagram and TikTok.

Proven in

Where this service has done the work

Live engagements that used this service, and the sectors it applies to most often.

  • Chartered surveying

    McGarrigle and Co

    Niche authority — tenant-side surveyor positioned as the specialist

  • Legal reference / AI search

    The 1954 Act

    Ranked by AI — lease renewal reference built for answer engines

Sector hubsProperty and lettingsProfessional servicesPlanning and development
Keep reading

Where to go next

A few things worth reading — and the pages most people move to from here.

Related insights

All insights

Related services

All services

Related case studies

All case studies
Questions

Frequently asked questions

What is AI search visibility (AEO / GEO) and how is it different from SEO?
Traditional SEO competes for a position in a list of links. AI search visibility — sometimes called answer engine optimisation (AEO) or generative engine optimisation (GEO) — competes to be the source an AI system quotes when it answers a buyer's question. ChatGPT, Google AI Overviews, Gemini, Copilot and Perplexity synthesise an answer and cite a handful of sources. There is no page two. The work overlaps with SEO on fundamentals — crawlability, structure, genuine expertise — but adds question-led content architecture, explicit entity signals, machine-readable structured data, quotable evidence and off-site consistency, because these systems assemble a view of your business from everywhere it is mentioned, not just your website.
How do I get my business mentioned or recommended by ChatGPT?
Five things move the needle. One: answer specific buying questions directly, in the first two sentences, on pages devoted to them. Two: make your entity unambiguous — consistent name, location, services, credentials and schema, so the model knows what you are and who you serve. Three: publish evidence that is quotable — specifications, comparisons, pricing logic, process detail, named expertise. Four: appear in the third-party sources these systems trust for your sector: trade publications, directories, associations, review platforms, industry roundups. Five: keep it current, because answer engines strongly favour recently confirmed information.
Can you actually measure AI search visibility?
Yes, imperfectly but usefully. I track a defined set of buying questions across the major assistants at a regular cadence and record whether you are cited, how you are described and who is cited instead. Alongside that: AI Overview presence for your commercial terms, referral traffic from assistant domains in GA4, and the qualitative signal that matters most — enquiries that arrive already informed, saying they were told about you. That combination tells you whether visibility is improving even though no platform offers a rank tracker.
Is AI search going to reduce our website traffic?
For informational queries, almost certainly — zero-click behaviour is rising and generic top-of-funnel content is losing sessions. Commercial-intent traffic behaves differently: buyers still click through to verify specifications, pricing and credibility before enquiring. The strategic response is to stop measuring success in sessions and start measuring qualified enquiries, and to shift content investment from generic explainers towards the specific, evidenced pages that answer engines cite and buyers verify.
Do we still need traditional SEO if we optimise for AI search?
Yes, and they reinforce each other. AI systems draw heavily on conventional search indexes, so a fast, crawlable, well-structured site with authority still underpins everything. What changes is emphasis: less chasing volume, more owning specific questions; less keyword-stuffed prose, more structured, quotable, verifiable content. Businesses doing both are compounding two channels off one body of work.
Do you use AI in your marketing consultancy work?
Yes — deliberately, and I help clients do the same. AI is used for research and synthesis, keyword and intent clustering, first drafts that a specialist then corrects, campaign variants and reporting commentary, all under human review with a written data and brand policy behind it. It is never used for the parts that carry commercial risk: positioning, pricing narrative, segment priorities or any claim that has to be defensible. I also work on the other half of the AI shift — making sure your business is the source ChatGPT, Google AI Overviews, Gemini and Perplexity cite when a buyer asks who the credible options are, because a growing share of shortlists are now formed inside an assistant rather than on a search results page.
Why should I use you as my marketing consultant rather than an agency?
An agency sells you delivery. I sell you judgement. Before anyone writes an ad or a blog post, someone has to decide which segments you are targeting, what your proposition is, which channels deserve budget and what a qualified enquiry is actually worth. That is the work that decides whether the delivery pays for itself. I do that work first, in writing, then either brief your existing agency properly or build the plan in-house — and because I have no media to sell you, there is no incentive for me to recommend spend you do not need.
What makes you different from other Fractional CMOs and marketing consultants?
Three things. First, a client-side operating background rather than a pure agency one: I have run marketing inside an industrial B2B manufacturer, dealing with technical buyers, distributor networks, long sales cycles and a board that wants commercial numbers rather than impressions. Second, formal grounding — Member of the Chartered Institute of Marketing (MCIM) and an MSc in Digital Marketing Management, so recommendations are based on tested frameworks rather than whatever is trending on LinkedIn. Third, I work across B2B, retail and SaaS, which means the retail pricing and merchandising discipline informs the B2B work and the SaaS retention thinking informs both.
How much does a marketing consultant cost compared with hiring a Marketing Director?
A full-time Marketing Director in the UK typically costs £70,000-£110,000 plus employer's NI, pension, recruitment fees, holiday and the risk of a bad hire — realistically £100,000+ a year all-in before they have spent a penny on marketing. Consultancy and Fractional CMO retainers give you the same seniority for one or two days a week, at a fraction of that cost, with no notice period and no recruitment risk. For most SMEs turning over £1m-£20m that is the difference between having senior marketing judgement and having none.
Do you work with B2B, retail and SaaS businesses?
Yes — all three, and the differences matter. B2B work centres on pipeline: proposition clarity, technical content, sales and marketing alignment, cost per qualified enquiry. Retail and ecommerce work centres on unit economics: contribution margin after ad spend, repeat purchase rate, lifetime value and the seasonality of demand. SaaS work centres on efficient acquisition and retention: activation, trial-to-paid conversion, churn and payback period. The strategic method is the same; the metrics I hold the plan to are different.
How quickly will I see results from working with a marketing consultancy?
You get clarity in the first two to three weeks: a written diagnosis of where marketing is losing money, what to stop and a prioritised plan. Quick operational wins — tracking that actually works, tightened paid search, fixed conversion paths, a CRM that reports honestly — typically land inside 30 to 60 days. Compounding channels such as SEO and content usually show meaningful movement in three to six months, and that is exactly why the plan sequences fast wins first: they fund the patience the slower channels require.
Will you replace my team or agency?
No. The aim is to make what you already have work harder. In most engagements your team and your agencies keep delivering; what changes is that they receive clear priorities, a proper brief and a measurement framework, and someone senior holds the whole thing to commercial outcomes. Where a supplier genuinely is not performing, I will tell you plainly and help you replace them — but replacement is a conclusion, not a starting assumption.
How do you measure success, and how am I kept accountable to it?
Every engagement is tied to commercial metrics agreed up front: qualified enquiries, cost per qualified enquiry by channel, pipeline value, conversion rate and, where the data allows, revenue and contribution. You get a monthly review pack you can put in front of a board, showing what was done, what it produced and where the next pound of budget should go. If a channel is not paying for itself, you will hear it from me before you have to ask.
What does the first conversation involve, and is there any commitment?
It is a one-hour call, free, with no pitch deck. We cover your growth target, how you sell today, what marketing is currently producing and where the obvious gaps are. You leave with an honest view on whether consultancy, a Fractional CMO retainer, a defined project or nothing at all is the right next step. There is no obligation, and I will say so directly if I do not think I am the right partner for your situation.
Next step

Find out how AI describes your business today

A 30-minute discovery call to understand your targets, your current marketing and whether I'm the right partner for the next stage.

Book a call
See the case studies