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bluesheep
bluesheep
AI Search Visibility

Search is becoming an answer. Make sure you are in it.

Buyers now use ChatGPT, Gemini, Perplexity, Claude and AI powered search to research products and compare providers. We make your brand easier for those systems to understand, reference and recommend.

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What we build

Clarity, evidence and a way to measure both

  1. Our belief

    There is no way to hack an answer engine. There is a way to be the clearest source it can find.

    We will not promise you a position inside ChatGPT, because nobody can. What we can do is make your company unambiguous to a machine, well evidenced on the open web, and measurable against a query set you agreed.

  2. 01

    Visibility baseline

    We run a representative set of buyer questions across the answer engines that matter to you and record mentions, citations, recommendation frequency, competitor presence and the high intent queries where you are missing. Everything afterwards is judged against this.

  3. 02

    Entity and knowledge architecture

    Consistent facts about who you are and how your products, services, industries and use cases relate, expressed in structured data and identity signals. The objective is blunt: make it easy for a machine to understand exactly what you do.

  4. 03

    Source content

    Comparisons, alternatives, use cases, implementation guides, technical documentation and original research, written to be genuinely useful and structured so it can be quoted without distortion.

  5. 04

    Authority signals

    No system understands a brand from its own website alone. We strengthen the legitimate evidence around you: third party mentions, industry publications, reviews, partner references, expert profiles and original data.

  6. 05

    Measurement

    The same query set, re-run on a cadence. Mention rate, citation rate, share of recommendations, competitor movement, source URLs and positioning, plus referred traffic and assisted conversions wherever they can honestly be attributed.

How we work

Baseline first, opinions later

  1. Baseline

    Test how the answer engines currently understand and represent your brand, before anyone proposes a fix.

  2. Diagnose

    Separate the gaps: entity clarity, source content, authority, technical structure. Each has a different remedy.

  3. Build

    Improve the underlying information and content systems the engines draw from.

  4. Test

    Re-run the same query set and compare like for like against the baseline.

  5. Refine

    Keep strengthening the sources and signals that demonstrably moved, and drop the ones that did not.

The problem

You can be visible to Google and invisible in the buyer's answer

Ranking first is no longer the same as being in the recommendation. These are the usual reasons a strong site goes unmentioned.

  • Ranking first, absent from the answer

    We baseline where you actually appear across a defined query set, then trace the cause back to entity clarity, evidence or authority.

  • Described inaccurately by AI tools

    We align your organisation, product and service information into one consistent, machine readable definition across the web.

  • Content written for keywords, not questions

    We restructure around the comparisons, alternatives and implementation questions buyers ask, so an answer engine can extract you cleanly.

  • No ranking position to point at

    So we built a different yardstick: mention rate, citation rate, share of recommendations and source URLs, re-run on a cadence against the baseline.

We optimise the information system, not an imaginary AI ranking

Tell us about your projectSchedule a call
  • Ship AI tools
  • Take a prototype to production
  • Stand up cloud infrastructure
  • Build a payments platform
  • Extend my engineering team
  • Audit my architecture
  • Rebuild a legacy system