Independent research for the answer economy

Stay discoverable and profitable as Search becomes Answers.

IdeaLab studies how AI systems find, interpret, cite and recommend websites and products—then turns findings from 50+ audits into practical tools for independent operators.

52 published audits · Seven-dimension framework · Independent experiments · Practical implementation tools

50+
Audits published
1000
Audits processed
7
Dimensions scored

Latest research

Evidence before tactics.

Research drawn from published platform guidance, independent studies, controlled experiments and a growing database of comparable audits.

Research analysis

AEO Is Mostly SEO With a New Name

The retrieval layer still depends on crawling, indexing, structure and authority. The harder problem is measuring variable AI citations.

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Citation variability

Why AI Citations Behave More Like Odds Than Rankings

A practical explanation of why isolated prompts cannot establish stable visibility—and what site operators can measure instead.

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Ecommerce research

What AI Shopping Systems Need From Product Pages

Product identity, offer accuracy, evidence and purchase readiness shape whether a product can be understood and acted upon.

See the PDP research →

Free ecommerce diagnostic

Can AI shopping systems understand your product pages?

Review one commercially important PDP, document the evidence and choose your three highest-priority fixes.

  • Crawler access
  • Product identity
  • Offer accuracy
  • Structured data
  • Buyer evidence
  • Purchase readiness

Ten practical checks. One action worksheet. No citation promises.

Free Word checklist · Immediate access · No account required

A growing database, not one case study

From marketing experts to global e-commerce brands

52 audits published today, growing 2–4 a day toward 100+ — spanning individual experts, SaaS, creators, and consumer brands, all scored on the same framework.

Marketing Expert
Rand FishkinB
Consistent entity linking across SparkToro, X and speaking bios makes AI resolve every mention as the same person.
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Marketing Expert
Neil PatelB
Strong content structure and third-party citation practices; real gap found: inconsistent founder/co-founder title across his own social bios.
Read the audit →
Audited Jul 24, 2026 — based on publicly observable signals, not NP Digital's internal data.
E-commerce Brand
GymsharkC
Inline third-party citations on product pages beat pure marketing copy for retrieval.
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Your next step

Implement every tactic in one place

The Fix Playbook

15 prompt-by-prompt tactics, each pulled from a real audit — the exact moves that separate Grade B sites from Grade D.

$37 one-time · instant download · Stripe checkout
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📊 Sourced from Rand Fishkin audit📊 Sourced from Neil Patel audit📊 Sourced from Gymshark audit📊 +12 more audits
Frequently asked questions

Common questions about AI visibility

What is llms.txt?

llms.txt is a plain-text file placed at the root of a website that gives AI crawlers a structured summary of the site's purpose and key pages — similar in spirit to robots.txt, but written for language models rather than search engines.

What is AI visibility?

AI visibility is whether ChatGPT, Perplexity, Gemini, and Google AI Overviews can find, understand, and cite your business when someone asks a related question — separate from traditional search engine rankings.

What's the difference between AEO, GEO, and SEO?

SEO optimizes for ranking in search results. AEO (Answer Engine Optimization) optimizes for being the direct answer AI systems give. GEO (Generative Engine Optimization) optimizes for being cited as a source in AI-generated summaries. All three matter, but they're not the same thing.

How is idea-lab.ai different from an AI visibility scanner?

Scanners give you a number. idea-lab.ai gives you a number benchmarked against a growing, public database of real audits — so every gap in your score comes with a sourced example of how a real site closed it.

How often is the audit database updated?

We're publishing 2-4 new audits a day, growing from 26 today toward 100+, spanning individual marketing experts, SaaS companies, creators, and consumer brands.

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