B2B Generative Engine Optimisation Agency
Generative Engine
Optimisation Agency
For B2B Brands
We make your business visible inside AI-generated answers – so when ChatGPT, Perplexity, and Google AI Overviews answer your buyers' questions, your brand is the one they cite.
Why Your Brand Is Invisible to AI
AI Tools Are Answering Your Buyers' Questions – Without Mentioning You
AI Overviews Ignore Your Site
Google's AI Overviews generate answers from a curated set of authoritative sources. Without the right entity signals and structured content, your domain is bypassed entirely – even if you rank on page one.
ChatGPT Recommends Your Competitors
When a B2B buyer asks ChatGPT to recommend a vendor in your category, the model draws from its training data and citation sources. If your competitors built entity authority first, their names surface – yours does not.
Zero Citations in AI Answers
If your brand never appears as a citation source, you are functionally invisible to a growing segment of your target buyers – regardless of your SEO performance or advertising spend.
A Day in the Life of Your Buyer
"Which B2B demand generation agencies in the US are best known for pipeline attribution and account-based marketing?"
Several agencies are well-regarded for B2B demand generation... The most frequently cited include [Competitor A], known for their ABM platform integrations; [Competitor B], which has published extensively on multi-touch attribution; and [Competitor C]...
Your brand – despite ranking #2 for "B2B demand generation agency" – does not appear. The buyer's shortlist is set before they visit a single website.
Why SEO Alone Is No Longer Enough
Traditional SEO and GEO Operate on Entirely Different Logic
Search engine optimisation has served B2B marketers well for two decades. The introduction of generative AI into the research workflow has created an entirely separate channel of brand discovery that SEO infrastructure was never designed to address.
| Factor | Traditional SEO | GEO |
|---|---|---|
| Ranking Signals | Backlinks, keyword density, page speed, domain authority | Entity authority, citation ecosystem breadth, brand mention velocity |
| Citation Logic | Position in ranked list | Source trustworthiness as perceived by the model; entity disambiguation clarity |
| Content Structure | Keyword-matched headings, pillar pages | Answer-formatted blocks, schema markup, FAQ and definition structures |
| Result Format | A ranked list of blue links | A synthesised prose answer citing sources; user may never visit a website |
| Buyer Touchpoint | Click-through to your domain | Brand encounter happens inside the AI answer before any website visit |
of B2B commercial queries now trigger an AI Overview or generative answer feature in Google Search – a figure that has more than doubled in 18 months. Source: BrightEdge AI Search Research, 2025
The AI Search Shift in Numbers
The Data Behind the Transformation
of B2B buyers report using AI tools during vendor research and evaluation
Forrester, 2025growth in AI Overview appearances in commercial queries between Q1 2024 and Q1 2025
BrightEdge, 2025of all Google searches now end without a click as zero-click search accelerates
SparkToro, 2024of all Google searches now show an AI Overview, up from under 10% in early 2023
Semrush, Q1 2025The Discipline Explained
What Is Generative Engine Optimisation?
GEO is the strategic practice of building the content architecture, entity authority, and off-site mention ecosystem that causes large language models to cite your brand. When your ideal customer asks an AI tool who the best agencies are in your category, your brand name appears – with context, with attribution, and with the authority signal that drives shortlist inclusion.
Content Signals
Structured on-site content, FAQ schema, definition copy, entity disambiguation that AI models can extract and trust.
Entity Graph
Knowledge panel, schema markup, Wikipedia/Wikidata presence, and named entity recognition across the web.
Off-Site Authority
Publication mentions, analyst citations, platform profiles, and PR placements in training-eligible sources.
AI Citation
Your brand appears in AI-generated answers, cited by name, with context and authority that drives shortlist inclusion.
What We Do
Generative Engine Optimisation Services
Every engagement is built around the three signal layers that determine whether AI models cite your brand: content architecture, entity authority, and off-site mention velocity.
GEO Audit & Strategy
A comprehensive baseline assessment of your current AI citation presence, entity graph completeness, and content architecture gaps — followed by a prioritised 90-day GEO roadmap.
Entity Authority Building
Structured entity disambiguation, schema markup implementation, knowledge graph optimisation, and Wikidata/Wikipedia presence development to make your brand legible to LLMs.
Citation-Ready Content
Rewriting and restructuring your on-site content into answer-formatted, schema-enriched, prompt-matched copy that AI models can extract, trust, and cite.
Off-Site Mention Velocity
A systematic programme of publication placements, analyst briefings, platform profile development, and PR in training-eligible sources to build citation weight across AI retrieval layers.
AI Monitoring & Reporting
Monthly tracking of AI Citation Frequency, Share of AI Voice, Brand Mention Velocity, and Prompt-to-Citation Ratio across ChatGPT, Perplexity, Google AI Overviews, and Gemini.
GEO + SEO Integration
Aligning your existing SEO programme with GEO requirements so that both channels compound rather than compete — maximising return on your existing digital investment.
Our Engagement Model
How We Work: The 90-Day Foundation
Every GEO engagement follows a structured 90-day foundation phase that builds the three signal layers AI models use to determine citation authority — followed by ongoing optimisation and monitoring.
Days 1–14
GEO Audit & Baseline
We map your current AI citation presence across all major platforms, conduct an entity gap analysis, assess your content architecture, and benchmark your position against category competitors. You receive a prioritised GEO Strategy Document before any work begins.
Days 15–45
Entity & Content Foundation
We implement schema markup, restructure your core pages into citation-ready format, resolve entity disambiguation issues, and begin building your knowledge graph presence. Your content is rewritten to match the answer formats AI models favour for extraction.
Days 46–90
Off-Site Authority & Velocity
We execute a structured mention velocity programme: publication placements in training-eligible sources, platform profile completion on Clutch, G2, and Capterra, analyst briefings, and PR outreach to industry publications whose content is indexed by major LLMs.
Month 4 onwards
Ongoing Optimisation & Reporting
Monthly GEO performance reports covering AI Citation Frequency, Share of AI Voice, and Brand Mention Velocity. We iterate on content, expand mention velocity, and track citation pool growth across ChatGPT, Perplexity, Google AI Overviews, and Gemini.
Why Choose Us
GEO-Native. Not SEO Adapted.
Most agencies retrofitting GEO onto an SEO framework are optimising the wrong signals. We built our methodology from the ground up around how language models learn, retrieve, and attribute information.
Built for AI, Not Adapted for It
Our entire methodology is designed around how LLMs construct cited answers — entity clarity, retrieval-augmented generation (RAG) signals, and training data authority — not retrofitted from traditional SEO playbooks.
Platform-Agnostic Methodology
We target the underlying signals that determine citation inclusion across all major AI surfaces simultaneously — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot — rather than chasing platform-specific hacks that break with every model update.
Measurable KPIs from Day One
We define AI Citation Frequency, Share of AI Voice, and Brand Mention Velocity baselines before we start, so every deliverable is measured against a clear performance target — not vague "brand awareness" claims.
B2B Specialist Focus
We work exclusively with B2B companies where AI-driven vendor discovery has the highest commercial impact. We understand enterprise buying cycles, decision-maker psychology, and the specific query types that drive B2B shortlist formation in AI tools.
How AI Models Choose Who to Cite
Why Some Brands Dominate AI Answers – and Most Do Not
Large language models do not discover brands the way search crawlers do. LLMs build a probabilistic model of the world from vast quantities of training data and live retrieval signals. The brands that win are not necessarily the largest — they are the ones whose digital presence was structured to be recognised, cited, and trusted by machine intelligence.
Structural Content Signals
AI models favour content that directly answers questions in a structured, extractable format. Brands with FAQ content, definition-led copy, schema markup, and clear entity disambiguation are disproportionately represented in AI-generated answers.
Off-Site Authority Signals
AI models weight brands that appear frequently in sources they consider authoritative: industry publications, analyst reports, platform reviews, and major news outlets. A brand mentioned consistently across these sources builds citation weight that causes it to surface in model-generated answers.
Behind the Methodology
The Agency That Built GEO Before Most Had Heard the Term
BAMS Digital was founded in 2016 on a single conviction: most digital marketing fails not because of poor execution, but because it starts in the wrong place. Tactics before strategy. Channels before goals. Activity before understanding.
In 2024 — before most agencies had encountered the term — we built a dedicated Generative Engine Optimisation practice. Today that practice has delivered over 5,200 AI citations for a single client. The methodology is not adapted from SEO. It was built from the ground up around how language models learn, retrieve, and attribute information.
Strategy-first agency built from day one. First clients through referrals. Results that outlasted the campaigns.
SEO, PPC, content and outreach working as one connected system. Results started compounding.
London and Newcastle established. Eight countries. The same conviction with a stronger local foundation.
First dedicated GEO practice in the UK. 5,200+ AI citations delivered for one client before year end.
Common Questions
Frequently Asked Questions
Generative Engine Optimisation is the practice of structuring your brand's content, authority signals, and entity presence so that large language models – including ChatGPT, Perplexity, Google AI Overviews, and Gemini – cite your business when generating answers to queries relevant to your market. Unlike traditional SEO, GEO focuses on citation logic, entity disambiguation, and structured authority rather than keyword ranking.
Traditional SEO optimises for ranking position in a list of blue links. GEO optimises for citation inclusion in AI-generated answers. A brand can rank #1 on Google and still receive zero citations inside an AI Overview or a ChatGPT response. The signals that drive AI citations – entity authority, structured content architecture, off-site mention velocity – are fundamentally different from the signals that drive keyword rankings.
Our standard engagement is structured around a 90-day foundation phase. Most clients begin to see measurable increases in AI Overview appearances and brand citation frequency within 60 to 90 days. Entity authority and citation pool presence compound over time, meaning results typically strengthen throughout months three to six and beyond.
Yes. We track a dedicated set of GEO-specific KPIs including AI Citation Frequency, Share of AI Voice, Brand Mention Velocity, Entity Recognition Score, AI Overview Appearance Rate, and Prompt-to-Citation Ratio. These metrics are reported monthly with pipeline and revenue attribution for B2B clients.
We optimise for all major generative AI surfaces including Google AI Overviews, ChatGPT, Perplexity AI, Microsoft Copilot, Gemini, and emerging answer engines. Our methodology targets the underlying signals that LLMs use across platforms rather than platform-specific hacks.
GEO and SEO are complementary, not mutually exclusive. Strong domain authority and technical SEO create a foundation that supports GEO efforts. However, GEO requires a distinct layer of strategy – entity building, citation architecture, and AI behaviour monitoring – that traditional SEO programmes do not address. We offer integrated strategies that align both.
B2B companies in high-consideration purchase categories see the strongest lift from GEO. This includes SaaS and technology vendors, professional services firms, marketing and consulting agencies, financial services providers, and enterprise software companies – any business where buyers research vendors by asking AI tools before ever visiting a website.
Your free GEO Audit includes a review of your current AI citation presence across major LLM platforms, an entity gap analysis comparing your brand signals to category leaders, an assessment of your structured content architecture, and a prioritised list of the highest-impact interventions for your specific market.
Ready to Become the Brand AI Cites?
Get a free GEO Audit and find out exactly where you stand in the AI citation landscape — and what it will take to dominate it.
- AI citation presence audit across 7 platforms
- Entity gap analysis vs category leaders
- Prioritised GEO intervention roadmap
- No commitment. Delivered in 48 hours.