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Buying guide7 min read

AI visibility tools: what to look for before you buy

Most AI visibility tools show the same first screen: a score and a list of mentions. The differences that matter appear in week four — how many engines are genuinely queried, whether cited sources and authors are captured, whether competitors are segmented, whether week-over-week deltas are stored rather than recomputed, and whether you can export the raw runs.

Key takeaways

  • Count engines that are actually queried, not logos on a pricing page.
  • Cited sources and authors turn a score into a work queue.
  • Stored history is what makes deltas trustworthy.
  • Check data residency before your legal team does.

Ten questions worth asking

  • Which engines are queried live, and which are inferred or modelled?
  • Does it record the sources each answer cited — and the authors of those sources?
  • Are competitors discovered automatically, and can they be segmented by company type?
  • Is history stored per run, so a delta reflects reality rather than a recomputation?
  • Can prompts be uploaded in bulk and run as a batch?
  • Can a non-technical stakeholder read the report, and can it be exported to PDF and Excel?
  • Does it produce a prioritized fix queue, or only a score?
  • Where is the data stored, and under which jurisdiction?
  • Can findings be reviewed by a human expert before you act on them?
  • What happens to your history if you downgrade or leave?

Score-only tools age badly

A composite score is a good opening slide and a poor operating tool. Within a month the question stops being "what is our score" and becomes "which four pages do we fix this sprint, and which sources do we need to appear on". If the product cannot answer that, it becomes a dashboard nobody opens.

Where EGNITE is different — and where it is not

EGNITE queries ChatGPT, Perplexity, Gemini, Claude, Microsoft Copilot and DeepSeek live, records the sources and authors behind each answer, segments discovered competitors by industrial company type, stores every run so deltas are real, supports bulk prompt upload, exports to PDF and Excel, and offers expert verification of rewrites within 48 hours. It is built for industrial B2B and stores data in the EU.

It is not the right tool if you want consumer-brand social listening, paid-ad monitoring, or a general-purpose enterprise SEO suite. Those categories are well served elsewhere.

Try before you commit

Any credible tool should let you see your own numbers before you pay. EGNITE's free scan returns a GEO score with page-level evidence and a fix queue, with no card required.

Frequently asked questions

Can I do this with a spreadsheet instead?

For ten prompts, yes. The break point is history: manually diffing last week against this week across six engines is where teams give up, usually in week three.

How much should this cost?

Entry monitoring for a small prompt set is typically double-digit euros per month; teams tracking hundreds of prompts across every engine with rewrites and expert review land in the hundreds. EGNITE's plans start free and scale by prompts, engines and verifications.

See where you stand in AI answers

Run a free GEO scan: a 0–100 score across five dimensions, page-level evidence and a prioritized fix queue. No card required.

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Keep reading

The free GEO scan
What the EGNITE free GEO scan checks across five dimensions, how the 0–100 score is calculated, and how to read the fix queue it returns.
Measuring GEO
Citation share, answer position, engine coverage, source authority and prompt-level deltas — the GEO metrics worth reporting, and the vanity numbers to ignore.
GEO for industrial B2B
Why generative engine optimization works differently in specialty chemicals, oil & gas and minerals — technical buyer prompts, PDF-locked data, and how to fix it.

Last updated 8 September 2026 · Written by the EGNITE GEO team.