The work

Projects can cover bot access, page output, useful content, clear facts, outside proof, case studies, and repeatable measurement. The scope names the public result, private inputs, owner, and pass test.

Questions we can investigate

Why can search index a site while an AI bot is blocked?

Different bots, request paths, and firewall rules can produce different results. We test the live response for each relevant crawler class.

Which topics deserve pages, tools, or research?

Start with a real reader task and the evidence the company can add. A page is useful when it does a distinct job, not when it repeats a keyword.

How should AI visibility be measured?

Freeze the prompts, tools, modes, dates, place, scoring, and repeat plan. Count mentions, citations, correct facts, visits, and leads separately.

Which fact conflicts hurt trust?

Compare names, roles, services, locations, profiles, visible content, and structured data. Correct the public source before adding more markup.

How can outside proof be earned?

Publish work worth checking and sharing: original results, public methods, useful tools, strong cases, and expert contributions. Do not buy fake authority.

Process

How the work runs

  1. Baseline

    Save current access, search, content, facts, and AI-answer evidence.

  2. Prioritize

    Rank issues by reader value, business value, confidence, and effort.

  3. Build

    Fix the source and publish the strongest useful work first.

  4. Retest

    Repeat the same checks and report good, bad, mixed, and missing results.