SEO & AI SEO

Found by Search Engines and by AI

Traditional SEO gets a business ranked. AI SEO gets it cited when someone asks ChatGPT, Perplexity or Google’s AI Overviews instead of searching.

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The Problem

Why rankings slip and never recover

Technical debt blocks everything

Crawl errors, thin architecture and slow pages cap performance. No amount of content outranks a site search engines struggle to read.

Content targets volume, not intent

Pages written for keyword counts rather than the question behind the search. They attract visits that never convert.

Invisible to AI search

The site ranks on Google but never appears when the same question is asked to an AI assistant, because nothing on it is structured to be cited.

Traditional SEO

The fundamentals, done properly

Most sites lose rankings to fixable technical problems long before content is the real issue.

Technical SEO: crawlability, indexation, site architecture and Core Web Vitals
On-page: heading hierarchy, metadata, internal linking and keyword-to-page mapping
Local SEO: Google Business Profile, local landing pages and consistent business data
Content structured around search intent rather than keyword volume alone
Search Console and GA4 reporting so ranking changes trace back to specific actions

AI SEO

Being the answer, not just a result

A growing share of searches never reach a results page. The user asks an AI assistant and takes the answer given. Being cited in that answer takes different work to ranking tenth on page one.

Schema & entity markupllms.txtAnswer-first structureCitable content

Schema and entity markup so AI systems can identify what the business is and does
Answer-first content structure, with clear declarative statements AI models can lift and attribute
FAQ blocks written as genuine question and answer pairs
Consistent business data across the web so the entity resolves to one confident answer
An llms.txt file summarising services in plain text for AI crawlers

Process

How an SEO engagement runs

AuditTechnical health, current rankings, competitor positions and AI-readiness assessed together
FixTechnical blockers cleared first, because content cannot outrun a crawlability problem
StructureSite architecture, schema and internal linking rebuilt around priority topics
ContentPages written and structured for both search intent and AI citation
MeasureRankings, traffic and AI visibility tracked monthly, with actions tied to outcomes

Who this is for

Businesses losing organic visibility they used to have, and businesses that rank well today but are invisible when the same question is asked to an AI assistant.

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Check your AI visibility before competitors do

The free AI website audit scores SEO structure, page performance and how easily AI systems can read and cite the site. Most businesses have never measured the third one.

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FAQ

Common questions

Traditional SEO aims to rank a page in a list of search results. AI SEO structures a site so AI systems such as ChatGPT, Perplexity and Google AI Overviews can read it, understand what the business does, and cite it directly in a generated answer. The two overlap but require different work.

No. Traditional search still drives most discovery, and much of the technical groundwork benefits both. AI SEO is an additional layer, not a replacement.

A plain-text file placed on a website that summarises what the business offers in a format AI crawlers can read easily. It is an emerging convention rather than a formal standard, and it complements schema markup rather than replacing it.

Technical fixes can move things within weeks. Competitive rankings and content authority usually take several months, which is why reporting covers leading indicators as well as final rankings.

Yes. Google Business Profile optimisation, local landing pages and consistent business data across directories are part of local SEO work.