Why should I care what AI says about my product?

Because 85% of B2B buyers now ask AI before visiting your website. If ChatGPT says your pricing is 'expensive' or Perplexity recommends a competitor instead of you, buyers never tell you why they didn't book a demo — they just don't show up. AI buyer perception is the gap between what's true about your product and what AI tells your buyers.

What do I get that a visibility score doesn't give me?

AI visibility tools give you a score — 'you were mentioned 47 times.' That tells you nothing about deal impact. Perciva shows you the actual problems: 'AI is telling buyers your pricing starts at $79 (it's actually $29)' and 'CompetitorX replaced you on 4 comparison prompts this week.' Every alert comes with a specific fix — which page to update and what to add.

Which AI engines do you support?

We currently monitor ChatGPT, Perplexity, Gemini, and Claude — the four AI engines most frequently used by B2B buyers during software research and evaluation. Support for Copilot and other emerging AI interfaces is actively being added as buyer adoption grows.

How do I fix AI misinformation about my brand?

Perciva tells you exactly which claims are wrong and which pages to update. Common fixes include updating your pricing page with clear numbers, adding integration documentation with proof points, and publishing case studies that AI engines can cite as authoritative sources.

Do I need any technical setup?

No. Perciva is fully self-serve — you enter your brand name, add competitors, and select prompt packs. Monitoring starts automatically within minutes. There is no code to install, no integrations to configure, and no IT involvement required.

How does the free snapshot work?

Enter your brand name and work email. Within 24 hours, you'll receive a report showing how AI describes your brand on key buyer-intent prompts, including risky claims, competitor positioning, and 3 fast fixes.

Is there a free trial?

Yes. Every plan includes a 7-day free trial with full access to all features — prompt monitoring, claim extraction, competitor tracking, and alerts. No credit card required to start. You can also request a free AI Buyer Perception Snapshot with no trial needed.

How much does one wrong AI answer cost my pipeline?

If an AI engine tells a buyer your product doesn't support their key integration, and that buyer moves to a competitor without ever visiting your site, that's one lost deal. For most B2B SaaS companies, a single deal is worth $5K–$50K+ annually. One wrong claim across thousands of buyer queries adds up fast. Perciva starts at €49/mo.

How quickly do AI engines update after I fix my content?

It varies by engine. Some changes are reflected within days (especially in engines with web browsing), while others may take 2–4 weeks as models re-index sources. Perciva tracks these updates so you can confirm when your fixes have taken effect.

What if I only have 1-2 competitors?

Even with few competitors, the combination of prompt categories (pricing, integrations, security, comparisons) and AI engines (4+) creates dozens of monitoring points. A single wrong pricing claim or competitor displacement on one prompt can impact pipeline significantly.

How often is monitoring run?

All plans include weekly monitoring that automatically runs prompts across ChatGPT, Perplexity, Gemini, and Claude. You can also run on-demand checks whenever you need an immediate answer — for example, after publishing new content or launching a product update.

Can agencies use this for clients?

Absolutely. The Team/Agency plan supports up to 5 projects with white-label branded exports, making it ideal for agencies managing AI perception across multiple client brands. Each project has independent competitor tracking, prompt packs, and alert settings.

Can I see a sample report before signing up?

Yes. We've published a full sample AI Buyer Perception Report using a fictional brand so you can see exactly what you'll get — risky claims, competitor displacement alerts, citation analysis, and prioritized fixes. View it at perciva.ai/sample-report.

How is this different from SEO tools?

SEO tools optimize for Google search rankings. Perciva monitors what AI chatbots say about you on buyer-intent prompts — a completely different surface. You can rank #1 on Google and still be misrepresented in ChatGPT answers that buyers rely on.

How to Fix AI Misinformation About Your Brand: A Step-by-Step Guide

2026-04-10 · 10 min read · By Perciva Team

ChatGPT tells a prospect your product doesn't support SSO. Perplexity says your pricing starts at $199/month when it's actually $49. Gemini recommends a competitor instead of you on a query where you should be the obvious answer.

These aren't edge cases. AI misinformation about B2B products is widespread, and most companies don't even know it's happening. Here's a step-by-step process to find and fix it.

Step 1: Audit What AI Currently Says About You

Before you can fix misinformation, you need to know exactly what's being said. Start by running your key buyer-intent prompts across all four major AI engines.

Critical Prompts to Test

"What is [YourProduct]?" — Does AI describe your core value prop accurately?
"[YourProduct] pricing" — Are the numbers correct?
"[YourProduct] vs [Competitor]" — Is the comparison fair and factual?
"Does [YourProduct] support [key feature]?" — Does AI know about your major capabilities?
"Best [category] for [segment]" — Are you recommended? How are you positioned?
"[YourProduct] reviews" — What sentiment and claims does AI surface?

What to Record

For each prompt and engine, document:

The full AI response (exact text)
Every specific claim made about your product
Whether each claim is accurate, outdated, or false
Which competitors are mentioned and how they're positioned
Which sources/URLs the AI cites (if any)

This audit creates your baseline. If this sounds like a lot of manual work — it is. Our monitoring guide has detailed steps, or you can start a free trial and let Perciva run this audit automatically.

Step 2: Classify Each Misinformation Type

Not all misinformation is equal. Classifying it helps you prioritize fixes:

Wrong Facts (Highest Priority)

AI states something factually incorrect: wrong pricing, missing features, incorrect integration claims. These directly mislead buyers and need immediate attention.

Outdated Information

AI describes an old version of your product, quotes deprecated pricing, or references features you've since improved. Common after product updates or rebranding.

Missing Information

AI doesn't mention critical capabilities that differentiate you. Your SOC 2 certification, your native Salesforce integration, your 99.9% uptime — the AI simply doesn't know about them.

Unfavorable Framing

AI positions your product negatively without being strictly wrong. "Expensive compared to alternatives" when you have the most competitive pricing. "Limited integrations" when you have 40+ native connectors. The framing damages perception even if no single claim is provably false.

Competitor Displacement

AI recommends a competitor instead of you on prompts where you should be recommended. See our deep dive on displacement for prevention strategies.

Step 3: Trace the Source of Each Claim

AI misinformation almost always has a traceable root cause. Finding it is the key to fixing it permanently.

Common Sources

Your own outdated pages: Old pricing pages, deprecated feature descriptions, or blog posts with stale information
Third-party review sites: G2, Capterra, or TrustRadius profiles with outdated product info
Competitor comparison pages: "Why us vs [YourProduct]" pages that make inaccurate claims about you
Old press coverage: Launch announcements or funding articles that describe early-stage capabilities
Broken URL chains: Documentation pages that moved without redirects, breaking AI's citation sources

Step 4: Fix Your First-Party Content

This is where the real work happens. For each piece of misinformation, the fix follows the same pattern: make the correct information so clear and authoritative on your own site that AI engines have no reason to say anything else.

Pricing Claims

Create a dedicated pricing page with exact numbers per tier, feature breakdowns, and comparison context. Don't use "Contact us for pricing" — AI can't cite that. Be specific: "$49/month for Starter, $99/month for Growth, $199/month for Team."

Feature Claims

Create dedicated pages for each major feature and integration. Include how-to guides, screenshots, and customer proof points. A page titled "Salesforce Integration" with setup instructions is 10x more citation-worthy than a bullet point on a features page.

Competitive Claims

Publish a factual, balanced comparison page. Don't just say "we're better" — address specific feature differences, pricing comparisons, and use-case fit. AI engines prefer comparisons that acknowledge both strengths and limitations.

Company/Credibility Claims

Document your security certifications, compliance status, customer count, and funding on a dedicated page. AI engines use these as trust signals when deciding whether to recommend your product.

Step 5: Fix Third-Party Sources

Your first-party content is necessary but not always sufficient. AI engines cross-reference multiple sources, so you need the broader ecosystem to be accurate too.

Update review site profiles. Log into G2, Capterra, and TrustRadius quarterly to verify product descriptions, screenshots, pricing, and feature lists.
Contact sites with wrong information. If a comparison article states incorrect facts about your product, reach out to the author or publication with corrections.
Set up Google Alerts for your product name + competitor names to catch new incorrect content quickly.

Step 6: Fix Technical Issues

Technical problems can undermine even the best content:

Redirect old URLs. If your documentation moved from /docs/v1/ to /docs/, set up 301 redirects. Broken links mean AI loses its citation source.
Ensure key pages are crawlable. Check robots.txt and noindex tags. Pages blocked from crawlers can't be used as AI sources.
Add structured data. FAQ schemas, Product schemas, and Organization schemas help AI engines parse your content accurately.
Create an llms.txt file. This emerging standard helps AI crawlers find and understand your site's key information quickly.

Step 7: Monitor for Regression

Fixing misinformation is not a one-time project. AI models update. New sources emerge. Competitors publish new content. A fix that worked today might be undone next month.

Set up ongoing monitoring to:

Track whether your fixes are reflected in AI answers (this typically takes 2-6 weeks)
Detect new misinformation as it appears
Catch competitor displacement before it impacts pipeline
Maintain an accurate picture of your AI buyer perception over time

Perciva automates this monitoring — from prompt simulation across all engines to claim extraction, source tracking, and displacement alerts.

Timeline: How Long Do Fixes Take?

Expect the following timelines after you update your content:

Perplexity: 1-2 weeks (RAG-based, re-crawls frequently)
ChatGPT (web-browsing mode): 2-4 weeks
Gemini: 2-6 weeks
ChatGPT/Claude (training data): Months (dependent on model updates)

This is why prevention through monitoring is more efficient than correction. Catching a problem early means fixing it before it compounds across multiple AI engines and buyer interactions.

Start a free trial to see what misinformation is currently circulating about your brand.

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Perciva — AI Buyer Perception Monitor for B2B SaaS

Perciva is an AI Buyer Perception Monitor that tracks what ChatGPT, Perplexity, Gemini, and Claude say about your B2B SaaS product on buyer-intent prompts. It detects incorrect claims, competitor displacement, and citation loss before they cost you pipeline.

How It Works

Configure monitoring — Add your brand, competitors, and select prompt packs.
Monitor buyer prompts — Perciva runs prompts across major AI engines and captures full answers.
Detect changes & risks — See what changed in claims, recommendations, and citations.
Alerts & action hints — Get email alerts on critical changes with clear action hints.

Key Features

Answer Capture — Full AI answer snapshots from ChatGPT, Perplexity, Gemini
Answer Diffs — Side-by-side diff showing exactly what changed
Claim Extraction — Auto extract claims about pricing, features, positioning
Risk Flags — Alerts for incorrect claims, weakened positioning, displacement
Competitor Tracking — Track when competitors gain or lose visibility
Citation Monitoring — See which URLs AI cites
Email Alerts — Notifications on critical changes
Action Hints — Each alert includes a recommended fix

Pricing

Starter: €49/mo · Growth: €129/mo · Team: €299/mo — All plans include a 7-day free trial.

FAQ

What is AI buyer perception?: AI buyer perception is how AI engines like ChatGPT, Perplexity, Gemini, and Claude describe and position your product when potential buyers ask comparison, pricing, or evaluation questions.
How is Perciva different from AI visibility tools?: Most AI visibility tools give you a score or mention count. Perciva monitors the actual buyer-intent prompts that drive purchasing decisions and tells you exactly what AI is saying about your brand.
Which AI engines do you support?: We monitor ChatGPT, Perplexity, Gemini, and Claude.
How do I fix AI misinformation about my brand?: Perciva tells you exactly which claims are wrong and which pages to update. Common fixes include updating your pricing page, adding integration documentation, and publishing case studies.
Do I need any technical setup?: No. Perciva is fully self-serve. No code, no integrations, no IT involvement.
Who is this product for?: B2B SaaS companies with 10–200 employees. Ideal for Heads of Marketing, SEO Leads, Product Marketing, and Growth teams.
What is competitor displacement in AI answers?: Competitor displacement occurs when an AI engine starts recommending a competitor instead of your product on buyer-intent prompts.
What is GEO (Generative Engine Optimization)?: GEO is the practice of optimizing your web content so that AI engines cite, reference, and accurately represent your brand in their responses.
How does the free snapshot work?: Enter your brand, website, a main competitor, and your category. Within 24 hours, you receive a report showing how AI describes your brand on key buyer-intent prompts — including risky claims, competitor positioning, and 3 fast fixes.
Is there a free trial?: Yes. Every plan includes a 7-day free trial with full access to all features. No credit card required. You can also request a free AI Buyer Perception Snapshot with no trial needed.
How often is monitoring run?: All plans include weekly monitoring across ChatGPT, Perplexity, Gemini, and Claude. On-demand checks are always available.
Can agencies use this for clients?: Absolutely. The Team/Agency plan supports up to 5 projects with white-label branded exports — ideal for agencies managing AI perception across multiple client brands.
How is this different from SEO tools?: SEO tools optimize for Google search rankings. Perciva monitors what AI chatbots say about you on buyer-intent prompts — you can rank #1 on Google and still be misrepresented in ChatGPT.

Who Is Perciva For?

Perciva is built for B2B SaaS companies with 10–200 employees who have clear competitors and a category where buyers research and compare using AI. Ideal users are Heads of Marketing, SEO Leads, Product Marketing Managers, and Growth teams.

Resources

Contact: hello@perciva.ai · perciva.ai