Service 02

Be the answer,
not the tenth result.

Buyers ask an assistant before they ask a vendor. We build the structured content, entity data, and source authority that gets your company named inside those answers — while the conventional rankings keep producing the traffic that converts today.

Why now

Search stopped being a list of links.

94%

of B2B buyers now use AI assistants somewhere in their research.

73%

of the buying journey happens before anyone contacts a vendor.

1 citation

in an AI answer outranks ten blue links nobody scrolls to.

This page is built the way we build client pages — schema-marked, answer-shaped, and quotable. The method is the demonstration.

How it runs

Visibility is engineered, not wished for.

  1. 01

    Audit the answer surface

    We ask the engines what they already say about you, your competitors, and the questions your buyers actually type. That transcript is the baseline — and it is usually the first time a client sees it.

  2. 02

    Fix the entity graph

    Answer engines resolve companies as entities, not keywords. We make your organization, products, clearances, and people machine-legible and consistent everywhere they appear.

  3. 03

    Structure for extraction

    Schema markup, clean heading hierarchy, and answer-shaped passages. If a model cannot lift a clean two-sentence answer out of your page, it will lift one out of somebody else's.

  4. 04

    Build the source authority

    Models cite what other credible sources corroborate. We work the citations, directories, and third-party surfaces that feed the training and retrieval layers — not just backlinks for their own sake.

  5. 05

    Hold the classic rankings

    Google still sends the traffic that converts today. Technical health, page speed, internal linking, and intent-mapped content keep the traditional engine working while the answer layer compounds.

  6. 06

    Measure the citations

    We track where you get named across ChatGPT, Perplexity, Claude, and AI Overviews, alongside rankings and organic pipeline — so the reporting shows visibility and revenue.

What lands

Both engines, one workstream.

Answer engines

  • Baseline audit across ChatGPT, Perplexity, Claude, AI Overviews
  • Entity and knowledge-graph cleanup
  • Schema: Organization, Product, FAQ, Article
  • Answer-shaped content rewrites
  • llms.txt and crawler access policy
  • Citation and share-of-answer tracking

Classic SEO

  • Technical audit and remediation
  • Site architecture and internal linking
  • Keyword and intent mapping
  • On-page optimization
  • Core Web Vitals and page speed
  • Rank and organic-traffic reporting

Content that ranks

  • Question-led pillar pages
  • Comparison and alternatives pages
  • Glossary and definition coverage
  • Programmatic geo and vertical landing pages
  • Content refresh on a decay schedule

Questions

The honest answers.

What is AEO, and is it different from SEO?

AEO is Answer Engine Optimization — earning citations inside AI-generated answers from ChatGPT, Perplexity, Claude, and Google AI Overviews. SEO earns a ranked link a user still has to click. They share fundamentals like clean structure and credible sources, but AEO optimizes for extraction and citation rather than position. We run both, because buyers use both.

Can you actually influence what an AI says about us?

Not by instructing it. You influence it the way you influence any well-read researcher: by being structured, consistent, corroborated, and easy to quote. We make your content extractable and your entity data unambiguous, then work the third-party sources models rely on. It is a compounding effort, not a switch.

How do you measure something that has no rank tracker?

We run a repeatable panel of buyer questions across each engine on a schedule and log whether you are named, how you are described, and who is named instead. That gives you share-of-answer over time, reported next to conventional rankings and organic pipeline.

Does this matter for medical device buyers specifically?

More than most categories. Clinical and procurement buyers research heavily before ever talking to a rep, and technical questions are exactly the kind an AI assistant answers well. If the assistant describes your device category without naming you, you are absent from the part of the journey where the shortlist gets written.

How long before it shows up?

Technical and schema fixes register in weeks. Entity consistency and citation authority move over quarters. This is the offer that compounds hardest and slowest — which is exactly why it is worth starting before you feel the need.

Curious what the engines say about you right now?

We'll run the baseline audit and show you the transcript. It is usually the most uncomfortable slide in the deck.

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