AEO / GEO blindness.
Buyers shortlist with ChatGPT, Perplexity and AI Overviews before you know they exist. If you're not cited, you're not considered.
Generative engines are now the top of the funnel. They synthesise answers from a handful of cited sources, then hand the buyer a shortlist. If your category page, comparison content and POV aren't structured to be cited, you've been quietly removed from consideration.
Four symptoms we see, almost every time.
- 01
Organic traffic flat or declining despite content investment
- 02
Branded search down; you're not in 'best X for Y' answers
- 03
Sales hears 'we looked at you' from deals you never sourced
- 04
No process for tracking AI citation share
Of B2B searches now resolve without a click (Similarweb)
Buyers start vendor research in an AI assistant (Gartner 2025)
Three moves — in this order, every time.
- 01
AEO content architecture
Restructure key pages to be parseable, citable, and answer-shaped.
- 02
Citation tracking
Stand up monthly AI-citation share-of-voice measurement against named competitors.
- 03
POV publishing
Original data and named POVs — the only content LLMs reliably cite.
What this gap actually costs.
Generative engines now sit in front of search for a large share of vendor research. A buyer asks for the best options for their situation, receives a synthesised answer built from a small number of cited sources, and treats that answer as the shortlist. Vendors who are not cited are not rejected — they are never presented.
This hits technical categories hardest, because buyers ask comparative and constraint-heavy questions: which tools handle this compliance regime, which integrate with this stack, which suit this team size. Answers to those questions are assembled from structured, specific, attributable content, which most vendor sites do not have.
The measurement gap makes it worse. Traditional reporting shows flat organic traffic and reads it as a content problem. The real change is that the click has moved: the buyer got their answer, and someone else was named in it.
The version that works.
- 01
Key pages structured to be quoted: clear question-shaped headings, direct answers near the top, specific numbers and constraints rather than adjectives.
- 02
Comparison and alternatives content that is honest about where you are not the right fit, which is what makes an engine willing to cite you.
- 03
Monthly citation share-of-voice tracking across the main assistants for a fixed set of buyer questions and named competitors.
- 04
Original material — proprietary data, named points of view, practitioner detail — because synthesis engines reward sources that add something not already in the corpus.
Four ways good teams get this wrong.
Treating AI visibility as SEO
Keyword-optimised pages built for ranking are often poorly structured for extraction. Being findable and being quotable are different jobs.
Gated everything
Content behind a form cannot be cited. Gating your most substantive material removes it from exactly the surface where shortlists now form.
Unattributable claims
Vague superlatives with no source, date or methodology are the first thing a synthesis engine drops.
No measurement at all
Without citation tracking you cannot tell whether you are absent from the shortlist or simply losing it. Those require opposite responses.
- 01
Define 20 to 30 real buyer questions for your category, then record how the major assistants answer them today and who they cite.
- 02
Audit your highest-intent pages for extractability: structure, specificity, sourcing and freshness.
- 03
Set a baseline citation share, then work the remediation backlog in order of buying-stage value.
- 01AEO/GEO audit + remediation backlog
- 02Citation share-of-voice dashboard
- 03Quarterly original-research calendar
You appear in the AI shortlist, by name, in the categories that matter — before a human ever scrolls.
Book the diagnosticFrequently asked.
- Does traditional SEO still matter?
- Yes. Assistants draw heavily on indexed content, so technical health and search visibility remain the foundation. AEO and GEO work sits on top of it rather than replacing it.
- How do you measure AI citation share?
- By running a fixed question set across the major assistants on a monthly cadence and recording which vendors are named, in what order, and with which sources. It is a tracked panel rather than a one-off screenshot.
- How quickly does this move?
- Structural changes to existing high-authority pages can shift citations within weeks. Building a durable position through original material is a quarterly effort, not a sprint.
- Should we write content for machines or humans?
- Humans — but with the structure machines need. Clear questions, direct answers and sourced specifics happen to be better for both audiences.