Being the answer, not just a result.
Traditional search sends people a list of links. AI search hands them one answer. These are the definitions, differences and the work that affects each.
Some vocabulary first, because these terms are used loosely. SEO is the practice of earning visibility in search engine results. AI SEO usually means using AI tools to do SEO work faster — research, drafting, clustering, analysis. GEO, or Generative Engine Optimisation, is the newer discipline: making your content likely to be retrieved, quoted and credited by generative systems such as ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews.
The practical difference is the shape of the result. Traditional search produces ten links and a click. AI search produces a synthesised answer, often naming two or three sources. If you are not among those sources, you do not exist in that conversation — regardless of your Google ranking.
The honest position: nobody can guarantee AI citations. There is no ranking dashboard, the systems change frequently, and retrieval varies by phrasing. What can be done is make your content the easiest, clearest, best-sourced thing to quote on your topic — which also happens to be good classical SEO.
What's included
- ✓Answer-first content structure and definitions
- ✓Structured data: Organization, Service, Article, FAQ where eligible
- ✓Entity consistency across site, profile and directories
- ✓llms.txt and machine-readable content access
- ✓Question-level content covering how customers actually ask
- ✓Citation and mention monitoring across AI assistants
Content that is the clearest available answer in your category — and measurably easier for AI systems to cite.
Who this is for
Problems this solves
Answers buried below persuasion
AI systems quote passages that answer a question directly. We put the answer in the first two sentences, then expand.
No verifiable facts
Generic claims are unquotable. Specific processes, real ranges, named examples and dated information are what gets cited.
Inconsistent entity data
If your name, location and services differ across sources, models have no confident picture of who you are. We align them.
Content organised for menus
Pages that mirror an org chart, not the questions people ask. We restructure around real queries.
How we work
- 01
Baseline test
We ask the assistants the questions your customers ask and record who gets cited today.
- 02
Gap analysis
Which questions you answer badly, which you do not answer at all, and which competitors own.
- 03
Structure
Schema, headings, definitions, FAQs where genuinely eligible, and clean machine access to content.
- 04
Content
Answer-first pages with real specifics, sourced statistics and author attribution.
- 05
Authority
Consistent entity data, credible external references and case evidence.
- 06
Re-test
Quarterly re-runs of the same prompts to see what changed. Reported as observations, never as guaranteed rankings.
Frequently Asked Questions
What is GEO (Generative Engine Optimisation)?+
GEO is optimising content so generative AI systems retrieve, quote and credit it when answering user questions. It overlaps heavily with good SEO but prioritises direct answers, verifiable specifics, structured data and consistent entity information.
What is the difference between SEO and AI SEO?+
SEO is earning visibility in search results. AI SEO is commonly used two ways: using AI tools to produce SEO work faster, and optimising for AI-driven search surfaces. We separate the two so expectations stay clear.
Does traditional SEO still matter?+
Yes, and more than the hype suggests. AI answer engines still draw heavily on the web content that ranks well, so classical SEO remains the foundation rather than a legacy practice.
Can you guarantee our business appears in ChatGPT?+
No, and anyone promising it is selling something they cannot control. There is no paid placement or ranking dial. We improve the odds substantially and measure changes over time.
How do we measure AI search visibility?+
By testing a fixed set of real customer questions across assistants at regular intervals and recording who is cited, plus watching referral traffic from AI sources and branded search volume.
Is llms.txt worth adding?+
It is cheap and harmless: a plain markdown file summarising your site and key pages for AI crawlers. Support is not standardised, so treat it as a small extra rather than a strategy.
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