Is AI SEO different from normal SEO?

It overlaps heavily. Crawlability, clear content and authority matter in both. What is added is entity consistency, extractable answer formatting, off-site description management and a different measurement approach.

Can you guarantee we appear in AI answers?

No, and nobody honestly can. We improve the conditions that make citation likely and measure the change, without promising a placement no vendor controls.

Should we block AI crawlers?

That is a business decision with a trade-off: blocking protects content from training use but also removes you from answers that cite sources. We lay out the options and implement whichever you choose.

How do you measure something with no dashboard?

With a fixed prompt set tested on a schedule, logged results, referral data where platforms report it, and branded search trends as a supporting signal.

AI Search

AI SEO: being the source AI systems rely on

AI SEO is the practice of making a brand's information easy for AI-powered search systems to retrieve, understand and cite. It combines conventional technical SEO, clear factual content, consistent entity information and off-site presence. It is an extension of search work, not a replacement for it.

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The problem

A growing share of research happens inside AI answers, where a single response can replace several clicks. Brands that are inconsistently described, hard to crawl, or vague about what they do simply do not get referenced.

How we approach it

We make the underlying facts about your business consistent everywhere, structure content so specific claims can be lifted cleanly, and strengthen the off-site mentions these systems draw on. Then we monitor how you are described and correct what is wrong.

Business outcomes

Consistent, accurate machine-readable facts about your business
Content structured so answers can be extracted cleanly
Stronger third-party mentions that AI systems reference
A baseline of how assistants currently describe you
Fewer factual errors repeated about your brand

What's included

Entity and fact consistency

Name, category, services, locations, contact details and leadership are aligned across your site, structured data and major third-party profiles so systems see one coherent entity.

Answer-ready content structure

Pages are restructured with direct definitions, specific claims, scannable sections and summary passages that stand alone when quoted out of context.

Retrievability and crawl access

We verify that your content is server-rendered, unblocked for the crawlers these systems use, and free of the JavaScript dependencies that hide text from retrieval.

Structured data as a graph

Organisation, service, article, person and breadcrumb schema are connected with stable identifiers so relationships are explicit rather than inferred.

Off-site mention building

Coverage, directories, communities and industry sources are targeted because AI answers frequently synthesise third-party descriptions, not just your own site.

Visibility monitoring

We track a defined set of prompts across assistants, record whether and how you appear, and log factual errors to correct at source.

What you receive

Entity fact sheet and consistency audit
Prompt set and AI visibility baseline
Content restructuring specification
Structured data graph implementation plan
Off-site mention and citation target list
Error log with correction actions
Periodic visibility monitoring report

How we work

1
Baseline
Record how assistants currently answer your priority prompts and what sources they cite.
2
Fix facts
Make entity information consistent on-site, in schema and on third-party profiles.
3
Restructure
Rework priority pages so claims are direct, specific and extractable.
4
Earn mentions
Build the third-party presence these systems draw from.
5
Monitor
Re-run the prompt set on a schedule and correct new inaccuracies.

How we measure it

Appearance rate across a fixed prompt set
Accuracy of how your brand and services are described
Referral sessions from AI assistants where reported
Branded search volume trend
Citations and mentions on referenced third-party sources

Honest limitations

No agency can guarantee inclusion in an AI answer, and placement cannot be bought. Results fluctuate as models are retrained, and reporting across these surfaces is incomplete compared with conventional search analytics.

Frequently asked questions

Is AI SEO different from normal SEO?: It overlaps heavily. Crawlability, clear content and authority matter in both. What is added is entity consistency, extractable answer formatting, off-site description management and a different measurement approach.
Can you guarantee we appear in AI answers?: No, and nobody honestly can. We improve the conditions that make citation likely and measure the change, without promising a placement no vendor controls.
Should we block AI crawlers?: That is a business decision with a trade-off: blocking protects content from training use but also removes you from answers that cite sources. We lay out the options and implement whichever you choose.
How do you measure something with no dashboard?: With a fixed prompt set tested on a schedule, logged results, referral data where platforms report it, and branded search trends as a supporting signal.

Related services

Let's build your growth system.

Tell us where you are now and what you need to reach. We'll come back with scope, sequencing and what we'd do first.

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