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Test real buyer questions
We benchmark the questions customers actually ask when choosing a local provider—not branded searches that already know your name.
AI COMPETITIVE INTELLIGENCE FOR LOCAL BUSINESS
See who AI recommends.
And why.
When customers ask ChatGPT and other AI platforms who to hire, some businesses make the shortlist—and others disappear. Piperly shows you where you stand, who is winning instead, and what to do about it.
No sales call requiredEvidence-backedNext-business-day delivery
AI Recommendation SnapshotBenchmark
MENTION RATE0%
TESTED RESPONSES24
TOP COMPETITORCompetitor A
Notable finding
Your business has strong customer proof, but competitors package and corroborate their evidence more clearly for AI systems.
THE AI SHORTLISTVisibility is only the beginning.
01AbsentNot surfaced
→
02MentionedIncluded
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03RecommendedActively suggested
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04PreferredLeading choice
THE PROBLEM
Your reputation can be real.
Your AI visibility can still be weak.
AI recommendations are influenced by the evidence available across your website, reviews, directories, authority sources and the wider web. Piperly separates the raw answer from the reason behind it.
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Find who wins instead
We identify the businesses and authority sources that repeatedly surface across recommendation environments.
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Explain the evidence gap
We investigate why competitors are easier for AI to trust, understand and recommend—then prioritize the fixes worth making.
THE DELIVERABLE
Not another dashboard.
An answer.
Measurement is the starting point. Your audit turns the benchmark into competitive intelligence you can actually use.
- AI recommendation baselineWhere you appear, where you don’t, and which competitors surface most often.
- AI Evidence Gap MatrixA side-by-side view of the trust, authority, reputation and intent signals behind the results.
- Competitor playbookWhat the strongest businesses are doing that AI systems can recognize and corroborate.
- Five prioritized actionsEach tied to a finding, evidence, expected impact and implementation effort.
- 90-day roadmapA practical sequence to improve the foundation, build corroboration and re-test.
SAMPLE OUTPUT
Illustrative case study
HOW WE THINK
Evidence has a hierarchy.
Piperly distinguishes what a business says about itself from what independent sources corroborate—and from what actually surfaces in AI recommendations.
1Claimed
What the business publishes about itself.
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2Corroborated
What independent sources verify.
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3Surfaced
What AI actually used or recommended.
TRANSPARENT METHODOLOGY
AI answers vary.
Our process accounts for that.
We do not sell a deterministic “ChatGPT ranking.” AI answers can change by model, timing, prompt wording and source availability.
Instead, Piperly uses a standardized set of unbranded buyer-intent questions, captures the recommendation evidence, and looks for repeatable patterns across the benchmark.
What that means for youYour audit is a competitive snapshot and diagnostic—not a guarantee of future placement or business results.
INTRODUCTORY OFFER
AI Competitive Intelligence Audit
Find out who AI recommends instead of your business—and the evidence behind it.
FOUNDING CUSTOMER PRICE
$149 CAD
Checkout coming soon
Secure checkout will be available here before launch.
FAQ
What businesses usually ask us.
Is this SEO?
Not exactly. Traditional SEO can influence the evidence AI systems encounter, but Piperly focuses specifically on recommendation visibility, competitive evidence and the sources AI uses to form an answer.
Which AI platforms do you test?
The benchmark is designed around major AI recommendation environments and may include ChatGPT, Perplexity, Gemini and other relevant systems depending on the audit configuration and availability.
Can you guarantee my business will be recommended?
No. AI systems are probabilistic and continuously changing. We identify observable gaps and practical opportunities; we do not guarantee rankings, recommendations or revenue outcomes.
Do I need to join a call?
No. The audit is intentionally lightweight: purchase online, provide your business details, and receive the completed report electronically.
Is the analysis automated?
We use AI and software for measurement and research, then apply a structured evidence and quality-control process before delivery. The goal is useful intelligence, not a raw automated score.