DigiRegime

SEO Services

Get your business quoted in AI answers

More buyers now get their answer from an AI assistant or a summary at the top of the results, without visiting anyone. This is the work of being the source that answer is built from.

  • Pages that answer the question in the first paragraph
  • A machine-readable picture of what your business is
  • Claims that can be checked, not just asserted
  • Tracking of whether assistants actually cite you

Platforms we work in

  • Google Ads
  • Meta
  • LinkedIn
  • Google Analytics
  • Search Console
  • Looker Studio
  • HubSpot
  • Salesforce
  • Zapier
  • Make
  • n8n
  • OpenAI
  • WordPress
  • WooCommerce
  • Shopify
  • Next.js
  • Vercel
  • Cloudflare
  • WhatsApp
  • Google Workspace

How we work

  1. Establish where you stand

    We ask the assistants the questions your buyers ask, and record who they cite today.

  2. Find the gaps worth closing

    Questions where a competitor is being quoted and you are not, and where being the answer would actually lead somewhere commercially.

  3. Rewrite for extraction

    Restructure the pages so the answer is findable, specific and clearly yours.

  4. Re-test and report

    Ask the same questions again over time. This is measurable, even if it is not yet a ranking report.

What is inside this service

  • Question and intent mapping
  • Answer-first page structure
  • Entity and brand clarity
  • Structured data for machines
  • Claims a machine can check
  • Writing that survives being summarised
  • Being mentioned where assistants look
  • Citation tracking and reporting

What each part does

Question and intent mapping
People ask an assistant longer and more specific questions than they type into a search box. We work out what yours are actually asking, then build pages that answer those questions directly.
Answer-first page structure
The answer goes near the top, in plain language, ahead of the context and the detail. That is the part a model can lift cleanly. Burying it under six paragraphs of warm-up is what gets a page skipped.
Entity and brand clarity
An assistant needs to know what your business is, what it does and how it relates to the things it talks about. We make that explicit across the site instead of leaving it to be inferred.
Structured data for machines
Schema that matches what is really on the page, so a machine can tell a product from a policy from an opinion without guessing.
Claims a machine can check
Specific, attributable statements beat confident vague ones. Where a claim can be sourced, we source it. Where it cannot, we say so rather than dressing it up.
Writing that survives being summarised
If your point only lands once someone has read a thousand words, it will not survive a summary. We write so the meaning holds when a model compresses it to three sentences.
Being mentioned where assistants look
Models lean on sources they already treat as reliable. Coverage, directories and profiles in the places your market takes seriously feed that, which is where this work meets digital PR.
Citation tracking and reporting
We check whether assistants are quoting you on the questions that matter to your business, and report what moved. This is newer and less settled than rank tracking, and we say what the numbers can and cannot tell you.

Questions we get asked

It overlaps a lot, and it is not the same. Classic SEO optimises for a ranked list of links. This optimises for being the source inside a written answer. The technical foundations serve both. The page structure and the writing genuinely differ.