AutoResearch
Autonomous SEO strategist — improves each round with real data
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AutoResearch runs an autonomous SEO strategist against your project's data. Select a project from the sidebar to get started.
About this tool
AutoResearch
An autonomous research loop for SEO strategy — it forms hypotheses, tests them against live data, and refines what it believes.
Most SEO tooling reports the current state and stops, leaving the interpretation to you. AutoResearch runs a continuous loop instead: it generates hypotheses about what is holding a site back or where an opportunity sits, tests them against live search data, evaluates the results, and feeds what it learned into the next round. Rather than another dashboard to read, the output is a set of findings that improved because the engine kept iterating on them.
How it works
- 1
Set the research context
Point the engine at a project so it works from real domain, keyword, and competitive context rather than generic assumptions about your market.
- 2
Generate hypotheses
Candidate explanations and opportunities are proposed — why a set of pages underperforms, where an underserved topic sits, which competitor advantage is structural rather than incidental — as testable statements rather than vague suggestions.
- 3
Test against live data
Each hypothesis is checked against live search and competitive data, so it is confirmed or rejected on evidence rather than on plausibility. Hypotheses that do not survive contact with the data are discarded.
- 4
Evaluate and iterate
Results feed the next round: surviving hypotheses get refined and extended, failed ones narrow the search space. This is the part conventional tools skip — the loop improves its own line of enquiry across rounds.
- 5
Surface strategy findings
What emerges is a set of evidence-backed strategic findings you can act on, with the reasoning attached so you can judge it rather than take it on faith.
Who uses this
- SEO strategists exploring a new market without a preset hypothesis.
- Teams stuck on a plateau where the obvious optimisations are exhausted.
- Consultants running deep discovery on an unfamiliar client category.
- Founders in an emerging niche with no established playbook to copy.
- Analysts wanting a second, independent line of enquiry to challenge their own.
- Anyone who has run every audit and still cannot explain the results.
Frequently asked questions
What does "autonomous" actually mean here?+
It means the engine runs the full research cycle itself — proposing hypotheses, testing them against live data, evaluating outcomes, and using what it learned to shape the next round — rather than answering one question and stopping. You set the context and review the findings; you do not have to direct each individual step.
Does it change anything on my site?+
No. AutoResearch is strictly read and measure. It analyses live search data and your project context to produce findings and recommendations. Every implementation decision stays with you, and nothing is published, edited, or submitted anywhere on your behalf.
What does AutoResearch cost?+
There is no subscription. A full 25-iteration session costs 822 credits, and you are only charged when a run produces a result — a failed run returns the hold automatically. It costs more than the 500 signup credits, so it needs a top-up before the first run. Credits do not expire.
How is this different from just asking an AI chatbot about my SEO?+
A chatbot answers from training data and whatever you paste into it, and it cannot verify its own claims. AutoResearch tests its hypotheses against live search and competitive data for your specific project, discards the ones that fail, and iterates. The difference is between plausible-sounding advice and findings that survived a check.
Should I trust the findings without verifying them?+
No — and the reasoning is exposed precisely so you can judge it. Treat findings as well-evidenced leads rather than settled conclusions, particularly for anything expensive or hard to reverse. The engine is good at surfacing non-obvious directions; you remain responsible for the commercial decision.
How long does a research run take?+
Longer than a single-shot analysis, because it runs multiple rounds of hypothesis generation and testing. It is designed to run server-side while you work on something else rather than to be watched in real time.
When is this the wrong tool?+
When you already know what is wrong. If a site audit shows unresolved technical problems or content analysis shows thin pages, fix those first — they are cheaper and more certain. AutoResearch earns its place when the obvious work is done and the remaining question is genuinely strategic.
What do I do with the output?+
Turn confirmed findings into actions and let them compete with everything else in the Priorities queue on Impact, Confidence, and Ease. A strategic insight that never becomes a scheduled task changes nothing.
Related
Priorities →
Score research findings against every other action on Impact, Confidence, and Ease.
AI Search Visibility →
Free: map which pages Google and AI search keep retrieving for a topic.
Compare Competitor Domains →
Free: compare your domain against any competitor — authority, keyword overlap, content themes.
Reports →
Turn findings and completed work into a stakeholder-ready summary.