Sample Deliverable — AI Visibility Report
A real audit of a B2B SaaS company in project management. 67% overall visibility — but completely invisible to an entire segment of buyers. The gap wasn't product quality. It was which questions we asked.
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Across All Queries
This B2B project management tool appeared in two-thirds of the buyer queries we tested. A solid headline number — until you see which queries it missed entirely.
Platform Visibility
Significant spread across platforms for identical queries. Your report breaks down every platform individually.
The Interesting Part
We don't just ask one question. We test dozens of queries — the way different buyers actually phrase their needs. The overall score hides what matters: where you're strong and where you're invisible depends entirely on who's asking and how they ask.
When buyers ask "which tool is best for X" — this brand dominates. AI lists it first or second in nearly every broad comparison.
Example query behavior
"What's the best project management tool for a growing team?"
AI recommended this brand first, citing third-party review sites.
Buyers migrating from legacy tools usually find this brand — but AI sometimes flags it as "not for beginners" when the buyer mentions they're non-technical.
Example query behavior
"We need to replace our outdated PPM system"
Listed third. AI preferred enterprise-specific PPM vendors for this framing.
When buyers mention their industry — construction, healthcare, legal — this brand nearly vanishes. Industry specialists take over even when this tool has dedicated vertical pages.
Example query behavior
"Best project management for a construction company"
Not mentioned. AI recommended 3 construction-specific tools instead.
Small-team and budget-focused queries surface cheaper alternatives. AI actively steers buyers away, sometimes citing pricing that's outdated by 18 months.
Example query behavior
"Affordable project management for a 5-person startup"
Mentioned with caveat: "starts at $30/user" (actual: $10/user). Buyer steered to free alternatives.
What happens next
Real buyers don't ask one question. They have a conversation with AI. We test what happens when they push back, ask for alternatives, or add constraints. The results often reverse.
"What's the best PM tool for marketing teams?"
Brand recommended first. 4 competitors listed.
"Which of those is cheapest for a small team?"
Brand dropped to fourth. AI cited outdated pricing as reason.
"Actually, integrations matter more than price"
Brand returned to first. AI pulled integration count from a 2024 blog post.
How AI decided
Some AI answers came from real-time web searches. Others came from patterns baked into training data — no search, no citations, just recall. The mix matters because each requires a different fix strategy.
Two distinct answer types detected
Your full report breaks down exactly which answers came from which source type — and what that means for your fix priority and timeline.
4 Factual Errors
Traced to source
"Pricing starts at $30/user/month"
Actual: $10/user. Source: outdated third-party listing.
"No free tier available"
Actual: free plan exists. Source: competitor comparison blog.
"Limited to 50 users per workspace"
Actual: unlimited. Source: parametric (no citation, baked into training).
"Doesn't integrate with Salesforce"
Actual: native integration since 2023. Source: outdated Reddit thread.
Where AI got its information
Review sites
Most frequently cited
Analyst reports
Heavily cited
Forums
Cited more than expected
Own site
Rarely cited
Third-party sources dominated AI's recommendations — even when the brand's own pages appeared in search results. Your report includes exact citation rates per source.
| Brand | Visibility | Errors | Top Source |
|---|---|---|---|
| Your Brand | 67% | 4 found | Review site |
| Competitor A | 83% | 1 found | Analyst report |
| Competitor B | 71% | 2 found | Review site |
| Competitor C | 58% | 3 found | Forum |
| Competitor D | 44% | 5 found | Own site |
Vocabulary Gap — The Root Cause
Buyers ask for "project management for construction." Your site says "work management platform."
When buyer language and your language diverge, AI can't connect you. The content exists on your site — industry pages, use case templates, vertical landing pages. But the words don't match what AI searches for when a buyer asks.
Buyer says
"project tracking for remote teams"
Your site says
"distributed workforce collaboration suite"
Result: invisible
Buyer says
"replace our spreadsheet with something better"
Your site says
"enterprise resource planning and task automation"
Result: invisible
Buyer says
"best PM tool for marketing agencies"
Your site says
"cross-functional work management"
Result: visible (G2 bridged the gap)
Fix pricing on G2 and Capterra listings
AI cites $30/user in multiple query paths. Your actual price is $10. This single error is actively steering budget-conscious buyers to competitors.
Add buyer-language headings to vertical landing pages
Your construction, healthcare, and legal pages exist but use internal terminology. Add H1s and opening paragraphs that match how buyers in each industry phrase their needs. Target the exact queries where you scored 0%.
Publish a comparison page against the top 3 alternatives
AI heavily relies on comparison content when buyers ask switching questions. Your competitors have "vs." pages. You don't. Your report shows exactly which switching queries you're losing and to whom.
Update your Reddit presence
Forum threads are cited more often than most brands expect. The most-cited thread about this product is over a year old and mentions features that have since changed.
Add structured data (Organization + Product schema)
Your site has no JSON-LD markup. In our data, brands with complete structured data appear in AI recommendations significantly more often. This is a one-time technical fix with outsized impact.
Every report includes query-level visibility breakdown, factual error audit with source tracing, citation analysis, competitor comparison, vocabulary gap analysis, and a prioritized action plan.
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