Methodology

    Selection is engineered. Sequenced, measured, repeatable.

    The 6-phase AI Visibility Optimisation methodology used by every AVO engagement.

    The AVO methodology is a six-phase programme for moving a business from AI exclusion to AI recommendation. Every phase produces a measurable output. Every output stacks on the one before it.

    The artefact

    Every engagement resolves to a composite score.

    Four dimensions, each scored 0-100. The composite is your AVO Score™. We measure on day one and again at sixty days. Every claim resolves to a number you can audit.

    AVO scorecard

    0
    Composite / 100
    • 0

      Interpretability

      28 → 88+60

    • 0

      Coherence

      34 → 82+48

    • 0

      Authority

      19 → 79+60

    • 0

      Intent alignment

      22 → 86+64

    Composite from a representative engagement. Movement is the median observed at re-baseline.

    Four principles that shape every engagement.

    Measured, not asserted

    Every claim resolves to a number. The four dimensions are scored, not described.

    Sequenced, not parallel

    Interpretability before coherence before authority before intent. Order is non-negotiable.

    Corroborated, not self-reported

    AI weights third-party signal far above first-party. So do we.

    Engineered, not earned

    Selection is a structural problem with a structural answer. There is no hack and no patience trade.

    The six phases

    From diagnostic to category control in sixty days.

    1. 01 / 06

      Diagnose

      Days 1 - 7

      Establish a baseline across all four AVO dimensions.

      We benchmark your business across ChatGPT, Gemini, Perplexity and Claude on the buyer-shaped queries that matter in your category. Every score is decomposed into the four dimensions so the work to follow is targeted, not speculative.

      Outputs

      • AVO baseline score
      • Dimensional decomposition
      • Competitor named-set analysis
      • Recoverable surface map
    2. 02 / 06

      Resolve interpretability

      Days 7 - 21

      Make the entity legible to AI systems.

      Below the interpretability threshold, no other dimension matters. We rewrite the machine-readable layer of the business so AI can reliably classify what you do, for whom, where and at what stage.

      Outputs

      • Entity definition rewrite
      • Service taxonomy alignment
      • Audience and geography precision
      • Schema and structured data
    3. 03 / 06

      Eliminate coherence conflicts

      Days 14 - 30

      Make every signal agree across every platform.

      Conflicts across website, Google profile, directories, social and citations are the single largest cause of suppressed AI confidence. We unify the signal so the model's classification is high-confidence rather than hedged.

      Outputs

      • Cross-platform audit
      • Citation reconciliation
      • Knowledge graph alignment
      • Disambiguation work
    4. 04 / 06

      Construct authority

      Days 21 - 60

      Build the third-party corroboration AI requires.

      Authority is the largest continuous lever in our experimental data. We construct corroborated, verifiable evidence across independent sources that AI systems can read, weigh and cite.

      Outputs

      • Trust signal mapping
      • Editorial citation work
      • Professional body alignment
      • Independent benchmark presence
    5. 05 / 06

      Tune intent alignment

      Days 30 - 60

      Become the answer to the question that converts.

      We analyse the actual questions your buyers ask AI systems and align positioning, content and structure so the business becomes the credible response to the highest-value queries.

      Outputs

      • Query pattern analysis
      • Intent map
      • Question-led content
      • Recommendation readiness scoring
    6. 06 / 06

      Re-measure and compound

      Day 60 onward

      Lock the gains. Build the moat.

      We re-baseline against the original measurement and against the competitive named-set. From here, sustained work shifts from selection (being named) to category control (being the lens through which the field is explained).

      Outputs

      • 60-day benchmark
      • Competitive movement report
      • Category-control roadmap
      • Quarterly monitoring

    Start with the diagnostic.

    Before any work, the baseline. A free AVO Score™ across the four dimensions, on your real category queries.

    Run the free report