Defend module · Use case
Fix outdated pricing in AI answers
AI assistants keep quoting a price you retired, and prospects arrive anchored to the wrong number. Pricing claims are tracked as a distinct accuracy signal, so you can see exactly which engines are wrong and whether your correction has propagated.
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How do you fix outdated pricing in AI answers?
Pricing claims are tracked as a distinct accuracy signal, so you can see exactly which engines are wrong and whether your correction has propagated. The work runs in four steps: register current pricing as a verified fact; track pricing prompts across all six engines; correct the number at every source still publishing the old one; re-run the prompts until every engine states the current price. Every engine quoting the price you actually charge, with a record of when each one corrected.
Key facts
- Job to be done
- Fix outdated pricing in AI answers
- Platform module
- Defend
- Typical owner
- Product marketing and revenue teams
- Available from
- Starter — $59 / month
- Engines covered
- ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok
- Outcome
- Every engine quoting the price you actually charge, with a record of when each one corrected.
The problem
AI assistants keep quoting a price you retired, and prospects arrive anchored to the wrong number.
This is not a reporting inconvenience — it is a measurement gap. AI answers are generated fresh each time and vary between sessions, so anecdotal checks cannot establish a trend and cannot prove whether anything you changed made a difference.
How Geosystems AI handles it
Pricing claims are tracked as a distinct accuracy signal, so you can see exactly which engines are wrong and whether your correction has propagated.
- Register current pricing as a verified fact.
- Track pricing prompts across all six engines.
- Correct the number at every source still publishing the old one.
- Re-run the prompts until every engine states the current price.
What you get
Everything below lands in your private workspace and is exportable as PDF or CSV, so the evidence travels with the decision.
| Output | What it contains |
|---|---|
| Pricing accuracy check | Per-engine verdict on the price being quoted |
| Discrepancy log | The exact wrong figure and where it appeared |
| Source candidates | Pages still publishing the outdated number |
| Propagation tracking | Which engines have picked up the correction |
What good looks like
Every engine quoting the price you actually charge, with a record of when each one corrected.
The measurement backbone is the same across every use case: GVI™ scores each answer on Presence, Prominence, Attribution, and Accuracy, while Recommendation Share™ places that score against the competitors you name. Both are re-run on a schedule so movement is a trend, not a screenshot.
Fix outdated pricing in AI answers
Start with a free AI Visibility Scan and get the baseline this use case builds on — a GVI™ score across all six AI engines, plus every inaccuracy currently in circulation.
Frequently asked questions
Who typically owns this inside a company?
Product marketing and revenue teams. In smaller teams it usually sits with whoever owns demand generation, because the impact lands on pipeline first.
Which plan do I need?
Starter — $59 / month. Starter is $59 per month, Growth is $119 per month, and Scale is $199 per month. Annual billing is discounted.
Does this cover every AI engine?
Yes — ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok are all tracked on the same prompt set, so results are directly comparable between engines.
How do I try it before subscribing?
Run the free AI Visibility Scan at /free-ai-visibility-check. It returns a GVI™ baseline across all six engines with no account required.