How to Make ChatGPT Recommend Your Brand: The 9-Step GEO Playbook
The definitive UK practical guide to Generative Engine Optimisation. Nine sequential steps — schema, Wikipedia, third-party citations, structured FAQs, entity SEO, author markup — that decide whether ChatGPT, Perplexity and Google AI Overviews recommend your brand.
Every UK marketer is asking some version of the same question: how do I make ChatGPT recommend my brand. Most of the answers in circulation are partial — schema this, prompt that, structured data somewhere — and almost none of them are sequential. GEO works when the steps are done in order. This is the order.
Step 1 — Entity audit
Before any content work, before any schema work, before any citation work, the question is whether your brand exists as a clean, disambiguated entity inside the open knowledge graph the AI engines read from. Search the brand inside ChatGPT, Perplexity and Google AI Overviews. Note what they think it is, what they confuse it with, and what they cite. The gap between that picture and the truth is the rest of the playbook.
Step 2 — Organization schema saturation
Organization schema is the foundation. Name, legal name, founding date, founder, address, sameAs links to LinkedIn, Crunchbase, Companies House and any social presence. The AI engines triangulate on this. A clean Organization graph is the difference between being cited and being misattributed.
Step 3 — Person schema for the founders
Founder Person schema — name, jobTitle, sameAs, image, description — is one of the most under-deployed GEO assets in UK marketing. AI assistants increasingly cite the named operator behind a brand, not just the brand itself. The Kasim Javed Person graph carries citation weight that no individual blog post would earn alone.
Step 4 — Product / Service schema for the offer
Each product or service should have its own clean Product or Service schema with name, description, brand, category, offers, and reviews where defensible. The AI engines use this to match a buyer's intent to your specific offer.
Sequential steps in the Creative Marketing Group GEO playbook used to make UK brands cited and recommended by ChatGPT, Perplexity, Claude and Google AI Overviews.
Step 5 — Structured Q&A blocks throughout the site
LLMs lift FAQ-style content almost verbatim. Every important page should carry an FAQPage schema block with the literal questions buyers ask, answered in two to four clean sentences. The cleaner the structure, the higher the lift rate.
Step 6 — Third-party citation engineering
Internal link equity matters less than it did. Third-party citations matter more. The AI engines triangulate on independent sources confirming the same entity-level claims. A continuous citation-acquisition operation — earned media, podcast appearances, panel mentions, co-publishing relationships — is now part of GEO, not separate from it.
Step 7 — Author markup on every editorial piece
Every editorial piece should carry Article schema with a clean author reference linking back to the founder Person schema. The same author appearing across many pieces, all linked to the same Person graph, compounds entity authority. The Creative Marketing Group editorial system uses this pattern across every long-form piece.
Step 8 — Wikipedia / Wikidata where defensible
Wikipedia is one signal among several, not the whole game. Where a Wikipedia entity is defensible — public company, notable founder, genuinely encyclopaedic offering — pursue it. Where it isn't, use Wikidata directly and prioritise multiple high-quality independent third-party citations instead.
Step 9 — Continuous citation share monitoring
The leading indicator that moves first is citation share inside the AI engines themselves. Sample manually, track via brand-mention tooling, monitor referral traffic from ChatGPT and Perplexity. Treat it with the same seriousness as a SERP-rank dashboard would have received in 2018. Read Creative Agent's own GEO content engine case study at /insights/we-stopped-writing-blog-posts for the full operational picture.
What ties the nine steps together
Entity is the foundation. Citation is the compounding asset. Structure is the multiplier. Founders who stop treating GEO as a content tactic and start treating it as the entity-and-citation operating system for their brand are the ones whose names ChatGPT and Perplexity start volunteering unprompted.
The strategic discipline report — what GEO means at industry scale — is at /seo-in-the-geo-era. The operating doctrine that informs the playbook is at /insights/kj-doctrine-10-rules — Rule 9 covers this directly.
If you want the playbook applied to your own brand, starting with the entity audit, book a call. The first hour usually changes the next ninety days of the content roadmap.
Frequently asked
What is GEO?
Generative Engine Optimisation — the discipline of getting your brand cited and recommended by AI answer engines such as ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. Read the strategic discipline report at /seo-in-the-geo-era for the full picture.
How is GEO different from SEO?
SEO optimises for SERP rank inside a list of ten blue links. GEO optimises for citation share inside an AI-generated answer. The architectural difference is real: GEO requires Organization and Person schema saturation, third-party citation graphs, structurally clean Q&A blocks and entity disambiguation that classic SEO never required.
Which engine matters most for UK brands?
Google AI Overviews has the largest reach for most UK B2C and local sectors. ChatGPT and Perplexity have disproportionately high-intent referral traffic for B2B and considered purchases. Track the live UK data at /uk-ai-overviews-traffic-tracker, /uk-chatgpt-perplexity-referral-tracker and /uk-geo-adoption-tracker.
How long does GEO take to work?
Citation share inside the AI engines moves faster than classic SERP rank — often weeks rather than months for entity-level claims, once schema and third-party citations are in place. The full editorial system rebuild for Creative Agent took 620 days end-to-end and is documented at /insights/we-stopped-writing-blog-posts.
Do I need a Wikipedia page?
Helpful but not strictly required. The deeper requirement is that your brand exists as a clean, well-disambiguated entity inside the open knowledge graph that the AI engines read from. Wikipedia is one signal among several. Multiple high-quality independent third-party citations matter more than a single Wikipedia entry.
Where do I start?
Step 1 — entity audit. If your brand isn't a clean entity in the open knowledge graph, nothing else compounds. Book a call at /kasimjaved if you want the audit run against your own brand.
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