Organic search, rebuilt for AI.

Search did not disappear, it split. Some buyers still scan ranked results, others read a single synthesised answer. We work both surfaces with one technical foundation, so the effort compounds instead of splitting in two.

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What you get

  • Technical crawl and render audit with a prioritised fix list
  • Core Web Vitals review on templates, not just the homepage
  • Canonical, indexation and internal link map
  • Organization and Service schema applied accurately
  • Intent map with one page per query group

Where it goes wrong

The problem

Most AI SEO offers are either recycled keyword reports with a new label, or prompt tricks with no durable foundation. Neither survives a model update, and neither fixes the reasons a site fails to rank or fails to be quoted.

What we change

We start with the technical and entity base that both ranked results and generative answers depend on, then build a page set where each page owns one intent, answers it directly, and links into the commercial pages that actually earn revenue.

What AI SEO covers

Technical foundations

Crawlability, rendering, canonicals, internal links, Core Web Vitals and clean metadata. Nothing downstream works without this layer being correct.

Entity clarity

One consistent name, description, service list and URL across your site, schema and third-party profiles so machines resolve you to a single, confident entity.

Intent-Mapped content

One intent per page. Category, service, comparison and question pages that each earn their own place rather than competing with each other.

Answer formatting

Direct answers up front, then steps, constraints and examples. The structure models extract from, and the structure impatient humans prefer anyway.

Credibility signals

Named authorship, primary sources, original data and verifiable claims. Unsupported marketing copy is exactly what generative systems learn to skip.

Reporting you can read

Search Console trends, ranking movement and manual prompt testing across the major answer engines, reported in plain language.

How we work

  1. Audit

    A full technical, content and entity review, plus prompt testing to see how AI systems currently describe your brand and who they name instead of you.

  2. Plan

    A prioritised roadmap: the fixes that unblock indexing first, then the page set worth owning, ordered by realistic difficulty rather than vanity volume.

  3. Build

    We ship the fixes and the pages, apply schema where it is genuinely accurate, and tighten internal links so authority flows to the pages that convert.

  4. Iterate

    Monthly review of impressions, positions and observed AI mentions, with the next round of pages chosen from what the data shows is actually moving.

What you get

The work runs in three parts: fix what stops search engines and AI tools reading the site, build content that answers real questions, then measure what actually changes.

Foundation

  • Technical crawl and render audit with a prioritised fix list
  • Core Web Vitals review on templates, not just the homepage
  • Canonical, indexation and internal link map
  • Organization and Service schema applied accurately

Content system

  • Intent map with one page per query group
  • Page briefs covering the answer, structure and internal links
  • Rewrites of existing pages that compete with each other
  • Answer-first formatting applied across the priority set

Measurement

  • Search Console baseline and monthly trend review
  • Fixed prompt set tested across ChatGPT, Perplexity and Gemini
  • Plain-language monthly note with next actions

How we differ

AreaTypical approachOur approach
Keyword approachVolume-led listsIntent-led, one intent per page
AI searchBolted on as an upsellSame foundation as organic work
ReportingAutomated dashboardsWritten note plus tested prompts
ContentBulk publishingFewer pages, each able to rank alone

Fit check

AI SEO pays off when there's a real product or service behind the pages for engines to describe. Here's where it works and where it doesn't.

A good fit if

  • Sites with real products or services behind the marketing pages
  • Teams willing to publish or approve content every month
  • Founders who want ranked results and AI answers handled together

Probably not for

  • Anyone wanting guaranteed positions by a fixed date
  • Sites planning to publish bulk unedited AI output

Questions

It covers the same technical and content fundamentals as traditional SEO, then adds the work that influences generative answers: entity consistency, accurate structured data, direct answer formatting and verifiable evidence behind claims. The goal is being both ranked and quotable.

The foundation is identical. An unindexable site is invisible to both. The differences sit on top: how clearly your brand is defined as an entity, how easy your key answers are to extract, and how well your claims stand up to scrutiny.

Yes, for research, drafting support and testing at scale. Every published page is reviewed, edited and fact-checked by a human before it ships, because unchecked AI output is precisely the sort of thin content search systems demote.

Technical fixes can register within weeks. Content-led gains typically take two to four months of consistent publishing, and competitive terms take longer. Anyone promising ranked positions on a fixed date is guessing.

No. Nobody controls the ranking systems, so nobody can guarantee placement. What we can commit to is the work: fixing the blockers, building pages that deserve to rank, and showing you the movement honestly.

Yes. Most of our work is with founders and small marketing teams who need a clear plan and pages that ship, rather than a retainer full of reporting decks.

Get a straight answer on your search visibility

We will review your site, run your buyer prompts through the major answer engines, and show you the gaps worth fixing first.