Jaxon Parrott
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What to Build and What to Buy in AI Visibility

Jaxon Parrott
Jaxon Parrott · AuthorityTech · Machine Relations
September 14, 2026Updated October 7, 2026Founder judgment

Buy collection when it saves useful work. Own the evidence and the decisions the collection is supposed to support.

That is the boundary I would use before comparing AI visibility dashboards. A tool can run questions, store answers and expose patterns. The company still has to decide which questions matter and what to do when the answers change.

Buy the repetitive work

Running a stable set of questions across relevant engines, preserving the responses and showing comparable observations can be valuable software work. Reliability, coverage and export quality matter more than a score that looks impressive in a demo.

Test a vendor on questions your buyers actually ask. Inspect the returned answers and source URLs. Check how the product reports failed runs, unavailable engines, mode changes and missing data.

A demo should make the measurement easier to understand. If the claim cannot be traced to an observation, the interface is ahead of the evidence.

Own a usable record

Retain the exact prompts, dates, engines, answer text, citations and definitions behind the metrics you rely on. Keep the scope and limits attached. An exported percentage without its denominator is not much of an export.

The company should also retain its question taxonomy and the reasoning behind it. That is where market knowledge accumulates. Losing a subscription should not mean losing the ability to explain what the business was measuring.

Keep editorial judgment close to the business

A source movement might justify earning coverage, correcting a fact, updating an existing page or doing nothing. A collection tool cannot decide which action is worth taking merely by detecting the movement.

The editorial job is to connect the observation to a useful claim and a real audience. The commercial job is to decide whether that claim changes discovery, consideration or a live buying conversation.

This is where Machine Relations becomes more than a monitoring category. Measurement informs the work of building authority; it does not substitute for that work.

Test replaceability before renewal

Ask someone to explain one current decision using the retained evidence without opening the vendor dashboard. They do not need to recreate every feature. They need to know what was observed, what remains unknown and why the next action makes sense.

If that fails, use the decision-dependency stress test before expanding the commitment.

The best tool makes the team more capable. It should not become the only place the company can think.


About the author

Jaxon Parrott founded AuthorityTech in 2018 and coined Machine Relations in 2024. He writes about earned authority, AI discovery and founder judgment.

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Sections

  1. Buy the repetitive work
  2. Own a usable record
  3. Keep editorial judgment close to the business
  4. Test replaceability before renewal
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