Known&Cited[1]

My approach

Start with the problem. Not a product.

Nothing's set in stone. Every piece of work starts with what's actually going on for your brand, and the work fits that, not the other way round. I'll always tell you exactly what I'm doing and how.

Last updated 8 October 2026

I spend a lot of time telling people to ask GEO agencies how they actually work. So here's mine, in full.

How a piece of work runs

  1. Understand the problem. A proper conversation first. What are you being asked? What's worrying you? Which markets, competitors and audiences matter? And what will you do with the answer? Sometimes the honest answer is that you don't need research at all.
  2. Pick the right depth. Anything from a briefing for your team to a full multi-market study. I'll suggest what fits the problem and the budget, and nothing more.
  3. Write it down. A short scope before anything starts: what I'll do, how, what you'll get, when, and what it costs. No surprises.
  4. Do the work. Me, not a junior or a dashboard, using the tools that suit the job.
  5. Turn it into decisions. What to change, what to leave alone, and where to invest for the long term. Practical enough to feed straight into your content and media relations plans.
  6. Come back when it's worth it. Not a monthly report for the sake of it. When something has changed, or you need to see whether the work landed.

From broad guidance to tailored research

Most work sits somewhere on this range. Plenty of clients use more than one.

Understand

Awareness and education

Briefings, workshops and talks for PR, comms and leadership teams. How AI search works, what it means for reputation and coverage, what the evidence says and where the hype runs ahead of it. Good for teams who keep being asked about AI and want a straight answer.

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Practical guidance

A review of the things that make your brand easier for AI to find, trust and cite: your own site, your coverage, your spokespeople, and the third-party places AI reads in your sector. You get clear, prioritised recommendations you can act on without buying anything.

Investigate

Tailored research

A proper look at how your brand actually shows up in AI answers, who's doing better and why, and what to do about it. Built around your categories, competitors and markets. More on what that involves below.

Typing your brand name into ChatGPT isn't research

It's the first thing everyone does, and it tells you almost nothing. AI doesn't have one view of your brand. It gives different answers, drawn from different sources, depending on who's asking, what they're asking, where they are in their decision and which tool they're using.

So the questions decide the answer. Generic questions get you generic results that have nothing to do with the story you're trying to be part of. Questions built around your brand, your audiences and your objective get you something you can act on.

Where they are in the journey

84% vs 88%

Across all kinds of questions, 84% of AI citations point to earned media.[1] But when B2B buyers are evaluating options, 88% of citations point to content brands control: product pages, comparisons and guides.[2] Discovery, consideration and decision draw on different sources.

Who's asking

1 in 4

Give the same question a different persona and the answers share only about one in four recommended brands, down from two in five for the same persona. Shared sources fall from 34% to 20%.[3]

How they ask

+25%

Phrasing a question as a ranking or a set of keywords lifted brand visibility by up to 25%. Questions that drift from the core intent can halve it, and consideration-stage questions are the most sensitive.[4]

Which AI tool

1.7%

ChatGPT, Claude, Gemini and Perplexity all cited the same website for the same question just 30 times out of 1,792. Each tool reads its own corner of the web.[5]

When they ask

<1 in 100

Ask the same question twice and the chance of the same list of brands is under 1 in 100. One answer is a sample, not a verdict.[6]

Where, and in what language

Varies

The same question can get a differently slanted answer in a different language, shaped by what dominates that country's information environment.[7] An English-only check can miss what other markets are being told.

What that means in practice. I design the research around you: your categories, competitors and audiences, the stages of the decision that matter, the markets and languages, and the narrative you want to be part of. Small changes in the set-up change what comes back, which is exactly why it's worth the thought. The closer the research fits your objective, the more useful the answer.

What tailored research looks like

Real questions, asked properly, read by someone who knows PR.

The questions

Asked the way your buyers ask them.

Built around realistic personas, the factors that matter in each category and the stages of the decision: discovery, consideration and choosing. Mostly unbranded, with branded, head-to-head or reputation questions if they're useful.

The run

Repeated, because answers change.

Run across the AI tools your audience uses, typically ChatGPT, Google's AI Overviews and Perplexity, over several days rather than once. In every market that matters, in the local language.

What you get

The three things comms teams need.

Your share of voice against named competitors. The sources, outlets and articles AI is citing, and why. The types of content that are shaping the answers. Usually a highlights deck and walkthrough first, then a fuller report.

No score at the end. A clear picture of who owns the conversation in your space, and what you'd change because of it.

Tool-agnostic, not tool-averse

I'm not tied to any platform. That doesn't mean I avoid tools. It means I pick them for the job.

  • I have partners I'd choose by default. For large research runs across many questions, tools and countries, I use specialist platforms such as Authoritas, which handle scale and local languages well.
  • I'll happily work with what you already have. If your team uses Muck Rack, Meltwater, Onclusive, Profound or something else, I'll use that data too, and help you get more out of it.
  • I'm always looking at new tools. The market moves quickly and some new things are genuinely useful. I'll tell you when I think something is worth a look, and when it isn't.
  • I'll always tell you what I used and why. The same openness I expect from anyone on my GEO landscape page.

What I won't do is tell you to sign up to anything that promises to solve AI search for you. Even if it did this week, it wouldn't next week. AI tools change too often for any one product to be the answer.

What you won't get from me

  • A score, a band or a "ranking position" in AI.
  • A dashboard to log into every morning.
  • A long contract or a retainer for the sake of it.
  • Recommendations that are really a sales pitch for something else.
  • Certainty I don't have.

What it costs

It depends on the brief. A team briefing and an eight-country research study are very different things. Once I understand the problem, I'll send you a short written scope with a fixed price, so you know exactly what you're getting before anything starts.

Sources

  1. Muck Rack, What Is AI Reading?, May 2026, 25m+ cited links across ChatGPT, Claude and Gemini. Announcement
  2. Ten Speed, What AI actually cites for B2B evaluation stage prompts, September 2026, 7,387 citations across ChatGPT, Perplexity, Claude and Gemini; client-based sample. tenspeed.io. BrightEdge found brand-owned pages took 42–79% of consideration-stage citations across eight industries (May 2026). brightedge.com
  3. Profound, Do answer engines customise responses to different personas?, September 2026, 71,147 responses across ChatGPT, Claude and Gemini. tryprofound.com
  4. Peec AI (Ehrlinspiel, Landwehr and Rudzki), June 2026, 37,804 responses across five AI tools. Search Engine Journal (sponsored summary)
  5. Orbit Media (Bill Widmer), I tracked 13,184 AI citations across 4 LLMs, September 2026; small, directional sample. orbitmedia.com
  6. SparkToro and Gumshoe.ai, AI recommendation consistency study, 2026. Search Engine Land
  7. Waight et al., Nature, 2026. doi.org

Each study measures something slightly different, and several come from companies that sell AI search tools. Read them as evidence of how much the set-up matters, not as benchmarks for your brand.

Get in touch

Tell me the problem.

A short email is fine: what's going on, what you've been asked, and when you need it. I'll give you an honest answer, including if I'm not the right person.

hello@knownandcited.com