Prompt & Share-of-Voice Audit
We build a representative prompt set for your category and measure how often - and how favourably - each model names you against your competitors, establishing a real baseline.
SEO Services / GEO
Generative Engine Optimisation
Getting your brand recommended by ChatGPT, Gemini, Perplexity and Copilot - not just found on Google.
When a buyer asks a large language model to shortlist vendors, compare products or recommend an agency, the model does not show ten links - it names a handful of brands. Generative Engine Optimisation is the work of making sure yours is one of them, consistently, across the models your market actually uses.
That comes down to what the models can retrieve and what they have absorbed: the sources they cite live, the third-party coverage they trained on, the clarity of your entity data, and whether your own site is accessible to their crawlers. We work all four, then measure your share of voice inside the answers themselves.
What We Optimise
Generative Engine Optimisation features
The inputs that decide which brands a model names when someone asks for a recommendation.
Source Coverage Strategy
Models lean heavily on a predictable set of third-party sources: review platforms, listicles, comparison sites, communities and trade press. We audit your presence across them and close the gaps.
Entity & Knowledge Graph Work
Consistent, unambiguous brand data across your site, structured data, Wikidata, business listings and professional profiles, so models resolve your brand correctly and do not confuse it with another.
Retrievable Content Architecture
Comparison pages, pricing clarity, specification tables, use-case pages and genuinely original data - the formats models retrieve and quote when constructing a recommendation.
Crawler Access & llms.txt
Deliberate decisions on AI crawler access, robots directives and llms.txt, so the content you want retrieved is available and the content you do not is not.
Digital PR for Model Coverage
Earned coverage and expert commentary in the publications and communities that feed retrieval - the corroboration that turns a mention into a recommendation.
0Years in practice
0Global offices
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Why The Brand Bee
Built for how buyers actually shortlist now
A growing share of research starts in a chat window. If the model does not know your brand, you are not in the consideration set - and you never see the query that excluded you.
- A measured baseline across the major models before any work begins, so progress is provable rather than asserted.
- Source strategy grounded in what models actually retrieve from, not guesswork about how they work.
- Entity and structured data work that makes your brand unambiguous to knowledge graphs and retrieval systems.
- Content built in the formats that get quoted - comparisons, specifications, original research and clear pricing.
- Reporting on share of voice inside generated answers, tracked over time against a fixed prompt set.
Our Approach
How we build model visibility
Measure first, then influence the retrievable record. GEO is slower and less direct than SEO, and pretending otherwise helps nobody.
1
We define a prompt set that mirrors how your buyers actually ask, and baseline your share of voice across models.
2
Audit of the third-party sources those models draw on, and where your competitors appear but you do not.
3
Entity and structured data cleaned up so your brand resolves consistently everywhere it is referenced.
4
Content built for retrieval - comparisons, use cases, specifications, pricing clarity and original data.
5
Digital PR and community presence to earn the third-party corroboration models weight most heavily.
6
Re-measurement against the same prompt set on a fixed cadence, with the programme adjusted on what moved.
FAQs
GEO, answered
GEO is the practice of increasing how often, and how favourably, your brand appears in answers generated by large language models such as ChatGPT, Gemini, Perplexity and Copilot. It works on the sources those models retrieve from, the clarity of your entity data and the formats of content they tend to quote.
SEO optimises for ranked links. AEO optimises for extracted answers on search surfaces like AI Overviews and snippets. GEO optimises for being named inside a generated recommendation, which depends heavily on third-party sources and training data as well as your own site. In practice the three overlap and are best run together.
No. Model outputs vary between sessions, versions and phrasings, and no agency controls what a model says. What we can do is measurably improve the inputs - source coverage, entity clarity, retrievable content and corroboration - and report the change in share of voice against a fixed prompt set over time.
We run a defined prompt set across the major models on a fixed cadence and record mention rate, position within the answer, sentiment and whether you are cited with a link. We also track branded search lift and referral traffic from AI platforms, which is now visible in analytics for several of them.
Retrievable, live-cited surfaces such as Perplexity can respond within weeks once source coverage improves. Deeper shifts - where a model names you unprompted from what it has absorbed - build over several months and are tied to genuine third-party presence. Anyone promising fast results here is selling something.
