When AI picksa business,pick yours.

AEO and GEO describe the same goal from two angles, and the names are still settling. We treat them as one service, built on the same groundwork as good SEO.

• Brand positioning

  AI recommends businesses it can describe clearly. We sharpen who you serve, what you are best at and why a buyer should choose you over the alternative.

  How an assistant describes you Example

  A specialist employment law firm for small employers, known for fixed-fee packages.

  Who

  Small employers, 5 to 50 staff

  What

  Employment law, nothing else

  Why you

  Fixed fees, stated up front

  Without positioning: “a full-service law firm offering a range of legal services.”
  • Positioning statement and differentiators
  • Proof inventory: reviews, results, credentials
  • A short description assistants can quote
  • Competitor comparison, honestly framed

  Measured by: how clearly you are described across answers

• ICP and buyer persona targeting

  We start with the customers you want, not the keywords you already rank for. Every question a buyer asks, in their words, at each stage.

  Owner, 5 to 50 staff Example

  1. 1. Learn“how to choose a business litigation lawyer”
  2. 2. Compare“[firm] vs [firm] for contract disputes”
  3. 3. Decide“how much does an employment lawyer cost per hour”
  • Ideal customer profile and 2 to 3 personas
  • Question inventory by buying stage
  • The language your buyers actually use
  • Priority list: which buyers to win first

  Measured by: enquiries from the right buyers

• Commercial query and fan-out map

  We focus on bottom-of-the-funnel questions and map the sub-questions behind each one, so every step of the assistant research has a page that answers it.

  One question, six searches Example

  “best accountant for my online store”

  • fees: fixed or hourly
  • Shopify experience
  • reviews
  • vs other firms
  • near [city]
  • switching mid-year
  • Commercial and comparison query list
  • Fan-out map for each priority question
  • Page plan: new pages, rewrites, merges
  • Coverage tracker, updated monthly

  Measured by: share of priority questions you answer

• Answer-first copy

  Our writers produce the copy: pages, FAQs and comparison content written for your buyer first, with the answer up front so people and machines can quote it.

  Answer first Example

  How much does an employment lawyer cost?

  The short answer, the fee range and what drives it, in the first two lines. ← quoted
  • Service and comparison pages
  • FAQs written from real buyer questions
  • Tone of voice that sounds like you
  • Edits and approvals built in

  Measured by: pages cited and clicks that become enquiries

• Design and conversion

  A buyer sent by an assistant is already warm. Our designers build the page that converts them: clear offer, proof at the top, one next step, a short form.

  Proof at the top

  Book a consultation
  • Page design and layout
  • Proof, reviews and trust placed where they matter
  • Forms and booking flow
  • Conversion tracking on every action

  Measured by: consultations booked and forms completed

• Technical foundations

  Schema, crawlability, consistent profiles and an llms.txt file. No model relies on llms.txt alone, but it is good practice and costs little, so we ship it.

  <script type="application/ld+json">
  {
    "@type": "LegalService",
    "name": "Example Law",
    "areaServed": "Austin, TX"
  }

  • robots.txt
  • llms.txt
  • sitemap
  • profiles
  • Structured data on every key page
  • Crawl and indexing fixes
  • llms.txt and robots review
  • Profile and citation consistency

  Measured by: errors fixed and pages understood