02 · Be the source the model cites, not the page nobody scrolls to
Your next customer will ask a model, not a search box. The model will name three brands. The work is being one of them.
- 150–400
- Buyer prompts tracked per client, weekly
- 5
- Assistants monitored, ChatGPT through AI Overviews
- Monthly
- Citation rate, position and sentiment reported
The problem
Traditional SEO optimised for a ranked list of ten blue links. Answer engines do not return a list. They return a paragraph, with two or three brands named inside it. Position four on a page nobody visits is worth roughly nothing. Being cited in the paragraph is worth nearly everything, and almost no brand is structured to earn it.
Answer engines do not rank pages, they assemble answers. To be part of one, your brand has to exist as a coherent entity the model can resolve: consistent claims across your own site and third-party sources, structured data that states the facts explicitly, and content chunked so a retrieval system can lift a clean, self-contained passage.
We build that in three layers. Entity: a canonical set of facts about who you are, what you sell, who you serve and what you cost, repeated identically across your site, structured data, Wikipedia-class references, review platforms and industry directories. Retrieval: content written in extractable units, meaning a direct answer in the first forty words, then the evidence, then the nuance, with schema that mirrors it. Citation: a deliberate programme to earn mentions on the sources models actually draw from, because retrieval augmented generation weights third-party corroboration far above self-description.
Classic SEO does not go away underneath this. Technical health, crawl efficiency, internal linking and genuine topical depth are still the substrate. We run both, and we report them separately, because a brand can lose clicks while gaining influence and you need to see which is happening.
What we actually hand over
Built in your accounts, documented as we go, and yours to keep whether or not you renew.
- Semrush
- Ahrefs
- Screaming Frog
- Profound
- Search Console
- Schema.org
- BigQuery
- 01
Entity audit and canonical fact set across owned, earned and structured sources
- 02
AI visibility tracking: share of voice across ChatGPT, Perplexity, Gemini, Claude and AI Overviews
- 03
Schema architecture: Organization, Product, FAQPage, HowTo, Article, Speakable
- 04
llms.txt and machine-readable content surfaces
- 05
Extractable content programme: answer-first passages, comparison pages, definitional hubs
- 06
Technical SEO: Core Web Vitals, crawl budget, internal link graph, index hygiene
- 07
Digital PR and citation acquisition on model-weighted sources
The same discipline, run two ways
Lead generation
01High-consideration, offline close
The buyer opens with a question months before they know a brand name: is a bathroom remodel worth it, do I need a surety bond, what does an RV warranty actually cover. We build the entity and the answer pages that get named in that moment, plus the service-area and local surfaces that decide who gets the call.
Ecommerce
02Direct-to-consumer, repeat purchase
Comparison and category questions, product entity consistency across your site, retailers and review platforms, and structured data explicit enough that a model will state your specification without hedging.
What the first quarter looks like
Weeks 1–3
Baseline
Prompt-set construction, AI share-of-voice baseline, entity audit, technical crawl and schema gap analysis.
Weeks 4–10
Structure
Schema architecture shipped, canonical facts reconciled everywhere, llms.txt published, priority pages rewritten answer-first.
Month 3 onward
Authority
Citation programme, comparison and definitional content at cadence, monthly AI visibility reporting against the prompt set.
Questions we get about this
SEO optimises for ranked placement in a list of search results. GEO, generative engine optimization, optimises for inclusion and citation inside a generated answer. SEO asks 'where do we rank?'; GEO asks 'when the model answers this question, is our brand named, and is it named accurately?' The technical substrate overlaps; the content structure and the measurement do not.
Pairs with
Want to know what answer engine & seo would be worth here?
Send us your numbers. We will come back with where we think the leverage is, what it is plausibly worth, and what we would need to be true for it to work.
Engagements from $12,000 / month · 90 days, then month-to-month