Observed
Core services and market coverage are clearly supported on the brand site.
AI recommendation intelligence
See what AI can verify before you ask it to recommend you.
Airankscan maps buyer questions to public evidence, compares the proof competitors make easier to find, and turns every narrative gap into a focused next move for your team.
AR
Public evidenceExample client brief
Harbor Home Services
Roofing · Indianapolis
Can a buyer verify enough to choose this brand?
DiscoverCompareDecide
Narrative risk
Warranty and service-area claims have limited independent corroboration.
Opportunity
Connect proof, comparison context, and trusted profiles around one decision story.
Evidence comparison
IllustrativeCategory clarity
Client · Clear
Rival · Clear
Independent proof
Client · Thin
Rival · Stronger
Decision detail
Client · Mixed
Rival · Clear
Prioritized next moves
Action plan01
Build a proof-led comparison page
High priority02
Align service-area claims across profiles
Next move03
Refresh third-party warranty proof
Next moveEntity clarity
Can the public record consistently identify the brand, category, location, services, audiences, and distinguishing facts?
Decision evidence
Can a buyer verify experience, outcomes, pricing context, service fit, and the reasons to choose this brand?
Independent corroboration
Do reviews, directories, associations, articles, and partner sources support the story the brand tells about itself?
Competitor advantage
Which rival has clearer, fresher, or more widely supported evidence for the same buyer decision?
A more durable signal
A changing answer is not the same thing as changing evidence.
Answer engines are probabilistic. Results can vary by prompt, context, model, and date. Airankscan does not pretend there is one permanent rank. It investigates the public evidence that makes a recommendation more or less defensible.
What the lab measures
- Public evidence available at scan time
- Likely discovery-to-decision prompt journeys
- Competitor proof and source advantages
- Narrative gaps and prioritized actions
What we do not promise
- Direct access to every answer engine
- One stable ranking across every prompt
- Guaranteed inclusion in an AI response
- Certainty where source evidence is incomplete
Buyer prompt journeys
Follow the decision, not a giant prompt list.
The strongest AEO work starts with the questions that change a shortlist. Airankscan connects each stage to the evidence a confident answer would need.
Discover01
“Who are the strongest providers for this need in my market?”
Does the brand have enough category and location evidence to enter the first shortlist?
Compare02
“Which option is better for my situation, and why?”
Can public sources support meaningful differences in fit, proof, process, and risk?
Validate03
“Is this company credible, experienced, and worth contacting?”
Do first-party claims and independent evidence tell a consistent trust story?
Decide04
“What should I know before I choose this provider?”
Are the final decision details clear enough to reduce uncertainty and justify a recommendation?
Recommendation evidence chain
Make the claim easy to find, verify, and repeat.
The final answer is only the visible edge of a deeper chain. Airankscan shows which link needs attention before the story can become more reliable.
Brand claim
What the client wants the market to understand.
First-party proof
Pages, details, case evidence, and direct answers.
Independent proof
Reviews, profiles, associations, articles, and partners.
Buyer context
The market, need, constraints, and comparison set.
Defensible answer
A recommendation the available evidence can support.
Unify the entity
Align names, services, locations, audiences, credentials, and category language across the site and trusted profiles.
Answer the decision
Build pages that explain fit, process, proof, tradeoffs, comparisons, and common objections in direct buyer language.
Strengthen corroboration
Improve the third-party profiles, reviews, associations, citations, and partner references that validate key claims.
Close the narrative gap
Connect what the brand wants to be known for with evidence a buyer—and an AI system—can actually locate and repeat.
From evidence to action
Fix the weakest link in the recommendation story.
The right next move may be a clearer service page, stronger comparison content, current proof, cleaner entity facts, or a trusted third-party reference. The action plan ranks the work so the team knows what deserves attention first.
Request accessField notes
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FAQ
Common questions about recommendation evidence.
What is AI recommendation evidence?
AI recommendation evidence is the public information that supports a confident answer about who a brand is, what it does, who it serves, why it is credible, and when it may be a strong choice.
Is this the same as checking a rank in ChatGPT?
No. A single answer can change with wording, timing, model, and context. Airankscan studies the more durable evidence layer underneath the answer and uses buyer prompt journeys to expose where that evidence is strong or thin.
Which public sources can be reviewed?
A scan may review the brand site, reviews, directories, association pages, articles, comparison sources, partner pages, and relevant competitor evidence that is publicly available at the time of the review.
What does the finished brief include?
The brief includes a source-backed summary, buyer prompt findings, evidence strengths and risks, competitor context, narrative gaps, and a prioritized action plan.
Can this guarantee an AI recommendation?
No responsible evidence program can guarantee what every AI system will say. Airankscan helps improve the clarity, credibility, and availability of the information those systems and their users may rely on.