AEO Sprint Specialist for Agencies & Consultancies

From invisible to recommended in AI search

When a buyer asks ChatGPT, Perplexity or Gemini who to hire, the shortlist it returns is the pitch list - before any website visit, before any call. I run structured sprints that get you on it.

0% 30%
AI search visibility in one sprint
2,357
Citations generated in a single week
8 of 8
Major LLMs referencing the client
Tracked & cited across
ChatGPT Perplexity Claude Gemini Copilot Grok Meta AI DeepSeek
The problem

Most agencies have zero presence in AI search - and don't know it yet

Buyers stopped scrolling ten blue links. They ask an AI model to shortlist agencies, read the three or four names it returns, and start there. If your firm isn't one of them, you're not losing the pitch - you never got the meeting.

Publishing more blog posts rarely fixes this. Most sites have no visibility because there's nothing consistent for a model to work with: no repeated authority claims, no content structured for AI extraction, nothing to cite with confidence.

AI Search - Live Response
"Which agency should we shortlist for AI search visibility?"
  1. Agency A Cited 14x - structured authority content, referenced across 6 models.
  2. Agency B Cited 9x - strong on measurement and attribution prompts.
  3. Your agency - no consistent citation signal found.
The approach

The Authority Framework

Before I publish a single article, I define what you stand for - the claims that need to show up, consistently, across every AI answer. Content is the vehicle. Positioning is the work.

01

Define the pillars

The handful of claims every AI answer needs to repeat back about you.

02

Structure for extraction

Built for how a model reads a page, not how a search engine ranks one.

03

Publish at volume

Steady output so gains stack up instead of fading between articles.

04

Track & redirect

Weekly checks across 8 LLMs, feeding straight into next month's targets.

Read the full Authority Framework →

The proof · Case study

From zero to visible, in eight weeks

A specialist UK digital marketing agency went from no presence in ChatGPT, Perplexity or Claude to cited by all eight major LLMs, in one eight-week on-site sprint.

Visibility growth
0% → 30%
On agency discovery prompts, from zero at sprint start.
Weekly citations
2,357
Generated in a single week, across all 8 major LLMs - from just 6 articles.
LLM coverage
8 of 8
Major LLMs referencing the agency, including ChatGPT, Perplexity and Claude.
"
During the sprint, a global consumer brand found us through Google/Gemini and came in as an inbound enquiry - before any outreach, before any paid activity. Eight weeks earlier, we had zero presence in AI search.
Chief Marketing Officer · UK Digital Marketing Agency

Read the full case study, including inbound leads and methodology →

How I work

Two ways to build AI visibility

Every engagement starts with the same question: what does the data say your firm needs? From there, I scope one of two shapes. Either way, you work with me directly - no account managers, no handoffs to a junior team.

Foundation

The Sprint

For firms with little or no AI search presence who need proof, fast.

  • Six articles, one a week, structured for LLM citation
  • Citation and visibility data tracked weekly throughout
Scope a sprint See what's included, week by week →
What happens, and when

From kick-off to first citations

Week 0

Setup

You choose how articles get published: direct CMS access, or a publish-by SLA with an agreed number of business days per article. Either way, I track dates weekly alongside citation data. I also confirm whether you already have a PR agency or an off-site placement relationship - it decides your path if you move to the Retainer later, on-site only or off-site-ready content your own PR team can place. Case studies, sales decks or brand guidance help if you have them - not required.

Week 1

Strategy & discovery

A discovery session covering what your firm does, what you want to be known for, your USPs and values, and the specific prompts you want to appear for in AI search. We leave with those prompts prioritised.

Week 2

Strategy confirmation

I confirm the target phrases and propose article titles. You have three business days to approve - no response counts as approval. Requested changes push the start date back rather than compressing the writing schedule.

Weeks 3–8

Production

I publish six articles, one a week, each structured for LLM citation, on the agreed cadence.

End of Week 8

Final review

We review the citation and visibility data together. My recommendation on whether to move to the Retainer is based on that data, not a pitch.

Read the full week-by-week breakdown →

The library

Latest from the library

LinkedIn

LinkedIn's AI citations are moving from profiles to posts and articles

A three-month dataset shows AI search citing what people publish on LinkedIn far more than it cites their profile page - and the shift happened fast.

Read the article
Citation Tracking

Getting cited by AI search doesn't mean you're being recommended

New ecommerce data shows brands get recommended by name while a different site gets the citation underneath. Two outcomes, not one.

Read the article
AEO Strategy

How to get cited by ChatGPT, Claude, and Gemini (and why the rules are different for each)

Three platforms, three different citation mechanics. What actually gets you cited by each one, backed by primary research rather than the recycled stats doing the rounds this year.

Read the article

Read more in the full library →

Questions

Before you book a call

AEO is the discipline of getting your firm cited, named and recommended inside AI-generated answers - ChatGPT, Perplexity, Gemini, Claude and the rest - rather than just ranked in a list of blue links. It's built on structured content, consistent authority claims, and citation tracking, not keywords.
SEO optimises for ranking algorithms and click-through. AEO optimises for extraction: how a language model reads, trusts and quotes a page when constructing an answer. The two overlap, but the content structure, the metrics, and the definition of "winning" are different.
In my most recent sprint, the client went from 0% to 30% visibility on target prompts in eight weeks. Early movement is often visible within four to six weeks; the gains compound as volume and consistency build.
I track citations and mentions across the eight major models - ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, Meta AI and DeepSeek - and report visibility and citation volume for each, monthly.

See the full FAQ →

Start here

Start with a 30-minute discovery call

I'll tell you exactly where you stand in AI search today - no deck, no spin, just the data.