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services

Four spec sheets. One method.

Start with an audit, ship fixes with your team, train people to run the tests themselves, or keep us on for monthly reports. Every engagement follows the same loop: hypothesis, test, ship, measure.

01

AI SEO audit

A structured look at how AI systems reach, read and describe your site, with a baseline you can measure every later change against.

fit: the best first step · fixed scope, quoted up front

what you get

  • Crawler access: robots.txt groups, CDN and firewall rules, and which AI agents actually fetch your pages according to your logs
  • Entity consistency across your site, your structured data and the third-party profiles assistants lean on
  • Content structure of priority pages: rendering, headings, answer-first sections, authorship and dates
  • AI visibility baseline: a defined prompt set, run repeatedly across the main assistants, with mentions and citations logged
  • A ranked test plan: what to change first, why, and how we’ll know whether it worked
  • A walkthrough session with your team, plus the raw logs
02

Implementation sprints

Time-boxed sprints where we work alongside your SEO, content and dev people to ship the fixes the audit ranked highest.

fit: teams with a backlog and someone who can merge changes

what you get

  • Structured data: Organization, Article, Product or Service markup that matches the page and validates
  • Content restructuring: answer-first sections, clearer headings, quotable facts, visible authors and dates
  • Technical fixes: server-rendered content, crawl access, canonicals and internal links to key pages
  • Pairing with your developers and editors, with tickets written in your own workflow
  • A before/after log: what changed, when, and what we re-tested
03

Team training

Workshops and written playbooks that explain how AI search works and teach your team to test it themselves.

fit: in-house teams and agencies building their own capability

what you get

  • Workshops tailored to SEO, content or engineering audiences
  • Hands-on sessions using your own pages and your own prompts
  • Playbooks and checklists your team keeps: crawlers, entities, structure and measurement
  • A prompt-sampling template and logging sheet, ready to use
04

Retainer & monthly reports

Ongoing advisory and a monthly AI visibility report, so decisions rest on logged evidence rather than one-off screenshots.

fit: month to month, usually after an audit

what you get

  • Your tracked prompts re-run every month across the main assistants
  • A report on mentions, citations, cited URLs, competitors named and factual errors
  • AI referral and server-log trends, with the known blind spots noted
  • Advisory calls and async review of changes you’re planning
  • The next experiments to run, in priority order
A laptop showing an analytics dashboard with traffic charts
fig. 03 — the readout

pricing

Quoted up front. No surprises.

Sites, teams and backlogs differ, so we quote after a short call. You get a fixed price for the audit and a clear price for sprints, training or a retainer before any work starts.

  • A short call to see whether we’re a fit
  • Fixed-price audit with a defined scope
  • Retainers run month to month
  • You keep every log, template and playbook

out of scope

What we won’t sell you.

If someone offers these for AI search, ask for the evidence.

guaranteed rankingsguaranteed citationslink schemesfake or paid reviewsmass AI-written pagescloaking for botsprompt-injection tricksvanity dashboards

next step

Not sure where to start?

Tell us about your site and team and we’ll suggest the smallest useful first experiment. If AI search isn’t your biggest lever right now, we’ll say so.