Skip to content
Back to Magazine
growth-design 2 min read

Search for Agents: how to position when the decision is not human

Does this apply to your company?

Free 30-min AI diagnostic →

Key takeaways

  • → Verifiable signals: claims backed by evidence and structured data.
  • → System consistency: narrative and metadata aligned across web, magazine, and services.
  • → Delegable decisions: a buyer (human or agent) can compare without asking for context.
  • → Can your value be understood without internal context?

Decision

Tune positioning, funnel or growth architecture for agentic markets.

Meeting

Revenue, go-to-market, product, sales or category strategy.

Risk

Optimising the human funnel while agents and buyers change how decisions get made.

Agent prompt: detect demand shifts, claims, proof, friction and distribution points

Problem

Classic SEO is written for a reader who skims, compares, and decides. That reader is no longer always there: agents and models discard options before anyone opens your page.

A brilliant argument that only works when read end to end does not survive that filter: what cannot be extracted cannot be compared.

Thesis

Search for Agents is not an indexing trick. It is positioning: deciding which signals you emit and leaving them extractable for machines and people.

Volume no longer buys position. Evidence does: claims with proof behind them, comparable without a prior explanation.

Callout — If an agent cannot extract your value in 30 seconds, you are invisible.

Framework

Three layers that make your value extractable without a human in the loop:

  • Verifiable signals: claims backed by evidence and structured data.
  • System consistency: narrative and metadata aligned across web, magazine, and services.
  • Delegable decisions: a buyer (human or agent) can compare without asking for context.

Mini-case: a firm published strong material, but its value lived in prose. No agent could pull a price or a differentiator out of it, so the firm never entered the comparison. Moving those claims into tables, FAQs, and verifiable proof made it visible without more volume.

Anti-example: publishing more posts without converting value into readable signals.

Posture: the algorithm does not reward volume. It rewards structural clarity.

Breathing: In practice, the friction is not creativity. It is legibility.

Protocol (3 steps)

  1. Define value signals: outcomes, proof, comparables. What an agent must find without asking you.
  2. Structure the content: tables, FAQ, consistent metadata, unambiguous language.
  3. Audit legibility: simulate an agent: what it can extract, what it misses, and why.
Signal Machine-readable form Minimum evidence
Differentiator Comparison table 1 verifiable proof
Outcome FAQ/FAQPage Case or metric
Credibility Structured reference Public source
Quick legibility checklist
  • Can your value be understood without internal context?
  • Is there verifiable evidence within 1–2 clicks?
  • Are your claims comparable or just narrative?

Next step

If your brand is not legible for systems today, schedule a diagnostic at contact.

ai-search agentic-buyers
Cite this article

Berthelius, V. (2026). “Search for Agents: how to position when the decision is not human”. BRTHLS Magazine. https://www.brthls.com/magazine/search-for-agents-positioning-when-decisions-arent-human-en

Fractional CAIO · Free diagnostic

Is your company ready to operate with AI?

30 minutes. No pitch. An honest read on where you are and what to move first.

Book free diagnostic