B2B brands with considered purchase cycles
Where buyers research deeply via AI engines before talking to sales and being named matters more than being ranked.
AI Search Visibility
Generative Engine Optimization (GEO)
Citation-ready content, entity building and the digital PR that AI engines trust.
The short answer
Generative Engine Optimization (GEO) covers the structural, content and citation work that makes large language models likely to mention your brand correctly. It includes structured data (schema), llms.txt and AI-crawlability files, answer-engine-optimised content (clear, factual, quotable), citation acquisition in publications the engines trust, and ongoing monitoring of model outputs. GEO is run as a monthly retainer rather than a one-off because the engines retrain and the competitive landscape shifts continuously.
The shift from SEO to GEO is structural, not cosmetic
For two decades SEO meant winning ranked positions on a search results page so that humans clicked through. Generative engines change the geometry - they synthesise an answer, name a few brands, and the user often never clicks through to any source. The number of impressions a brand receives can be high; the number of pixels a buyer ever sees from that brand's own website can be zero. The currency has shifted from ranking to mention.
This changes optimisation. Ranking optimisation pursues keywords. Mention optimisation pursues recommendability - the qualities that make an LLM choose your brand over competitors when composing an answer. Recommendability includes factual confidence (the engine has clean information about you), positive associations (sentiment in the corpus is favourable), distinctive expertise (you are known for something specific) and citation-worthiness (publications the engine trusts reference you frequently).
GEO and SEO together
The work has more overlap than competition. Schema, technical health, content quality and authoritative citations help both classical ranking and AI mention rates. Where the disciplines diverge is in tactic emphasis - GEO leans harder on knowledge-graph hygiene, answer-block formatting and citation acquisition in LLM-preferred sources. SEO leans harder on keyword targeting and internal linking. We run them as one integrated programme for clients who want both, with shared infrastructure and differentiated tactics inside.
Start your GEO programme
Six-month minimum because the work compounds. Start with an audit, then move into ongoing optimisation.
Methodology
How we actually do it
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Be the source the engines reach for
LLMs trained on the broad web develop preferences for certain sources within each topic. Becoming a source — original data, expert commentary, clear taxonomies, citable phrases — is the durable strategy. Tactics evolve; being the source remains.
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Schema is the floor, content is the building
Schema markup tells engines what your content is about; content quality tells them whether to repeat it. Both matter. Most Nigerian brands have neither set up properly.
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Knowledge-graph hygiene
Wikipedia, Wikidata, Crunchbase and LinkedIn entries feed the LLM training corpus. Inconsistencies between them confuse engines. We keep them aligned and current.
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Measure presence, not just rankings
Classic SEO measures position; GEO measures whether you were named. The KPIs are different — and the optimisation targets are different too.
Fit check
Who this is for - and who it isn't
Consumer brands competing in category-led discovery
Where "best Nigerian X" queries shape consideration sets.
Regulated industries
Where factual accuracy of AI engine answers carries reputational and sometimes legal weight.
Outcomes
What you actually get back
Compounding share-of-voice
Brands that commit to GEO for nine to fifteen months consistently see their answer-engine mention rate move from under twenty percent to above sixty in relevant prompts.
Reduced hallucination risk
When engines have clean, well-structured information about you to reference, they invent less. Hallucination rates drop measurably as the work progresses.
Defensible AI strategy narrative
Your leadership has a coherent story about why AI search matters and what your brand is doing about it — useful for board reviews, investor decks and internal alignment.
Related services
Often paired with this
AI Visibility Audit
See exactly where your brand appears - or doesn't - across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews.
Read more →
FAQ
Frequently asked questions
What is the difference between SEO and GEO?
SEO ranks pages in search engine results. GEO - Generative Engine Optimization - makes your brand the entity that AI engines (ChatGPT, Gemini, Perplexity, Google AI Overviews) cite when answering buyer questions. GEO requires schema, entity work, llms.txt, and digital PR - not just content.
How long does the AI Visibility Sprint take?
Thirty days, fixed price. You receive a citation audit across five AI engines, schema and llms.txt implementation, ten citation-ready content fixes and a before/after citation report.
Can I track AI citations monthly?
Yes - we maintain a 20–30 prompt tracking set for each retained client and report monthly on engine-by-engine citation outcomes.
Why are most Nigerian brands invisible in ChatGPT?
Three reasons: (1) no entity record on Wikidata or .ng publications, (2) no schema markup or llms.txt on the site, (3) thin content that doesn't answer the prompts AI engines paraphrase. We fix all three.