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SEO Opportunity Analysis

Rank search opportunities by evidence, fit, economics, and risk

Compare candidate query markets using explicit gates so an attractive volume estimate cannot hide weak task fit, low capability, or poor business value.

What the Agent prepares

  • Opportunity scorecards and evidence grades
  • Ranked portfolio with sensitivity note
  • Pursue, validate, defer, or reject decisions

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Make the next search decision from evidence, not assumptions

Compare candidate query markets using explicit gates so an attractive volume estimate cannot hide weak task fit, low capability, or poor business value.

The Agent separates observed data, interpretation, missing evidence, and unknowns before recommending a page, experiment, investment, or stop decision.

Use it for

Portfolio prioritization

Compare opportunities with one decision framework.

Hard-gate review

Reject candidates that fail evidence, task, capability, or risk requirements.

Sensitivity analysis

Show how uncertain assumptions change the ranking.

Example task

Rank these five search markets for our next investment

What the Agent prepares

  • Opportunity scorecards and evidence grades
  • Ranked portfolio with sensitivity note
  • Pursue, validate, defer, or reject decisions
Ranked search opportunity portfolio separated into pursue, test, defer, and reject trays

How it works

01

Define the decision

Fix the audience, market, task, scope, and success condition.

02

Inspect the evidence

Apply the Skill method and test competing explanations and missing data.

03

Choose the next action

Return a bounded recommendation, validation step, and stop rule.

Candidate search opportunities checked against evidence, fit, cost, and risk gates

Evidence-led search planning with explicit limits

  • The Agent does not retrieve current rankings or market data unless a verified data tool is connected.
  • It does not invent search volume, ranking outcomes, customer demand, proof, traffic, links, or revenue.
  • A human reviews claims, market evidence, privacy, accessibility, legal, brand, and publishing decisions.

Frequently asked questions

What should I provide?

Share the market, audience, decision, time window, raw query or page evidence, metric definitions, and constraints.

Can I use exported data?

Yes. Include the platform, date, filters, geography, device, units, and collection method.

Does it guarantee rankings?

No. It prepares a testable recommendation and exposes unknowns; it does not promise traffic or ranking outcomes.

Ready to put this Agent to work?

Choose an example or describe your own task to get a structured result.

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Failed or incomplete first runs are refunded