01
Are you being considered?
We monitor realistic buying questions to see when your products are mentioned, shortlisted, or absent.
AI recommendation intelligence
Know how AI sees your products—before your competitors do.
Recometra measures how AI systems discover, compare, and recommend products in your category. See where your brand appears, who wins instead, which sources shape the answer, and where your product information may be holding you back.
✓ Real web-grounded AI runs✓ Competitor comparison✓ Human-reviewed findings
Recommendation Visibility
Illustrative benchmark snapshot
31%
Primary recommendation rate
58%
Top-3 appearance rate
87%
Resolved recommendation coverage
12
Eligible-but-absent opportunities
Observed recommendation shareSee who wins monitored purchase-intent queries.
Eligibility-aware analysisSeparate true product fit from missed AI consideration.
Source intelligenceUnderstand which domains repeatedly support answers.
Product-data healthFind missing, conflicting, or weak machine-readable information.
The new discovery layer
Customers are starting to ask AI what to buy.
Traditional SEO tells you how you appear in search. Recometra helps you understand how your products appear inside AI-generated buying recommendations.
02
Who beats you—and where?
Compare your visibility with competitors by query, use case, price point, and buyer requirement.
03
What may be limiting visibility?
We review cited sources and product data to surface evidence-backed gaps worth investigating.
Business benefits
Turn opaque AI answers into measurable competitive intelligence.
Recometra is designed for ecommerce, product, SEO, and growth teams that need evidence—not vague “AI visibility” scores.
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Find missed opportunities
Identify buyer questions where your product objectively fits the stated requirements but is still absent from the recommendation set.
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Benchmark competitors
See which brands and products appear most often, which win rank one, and where the recommendation landscape is stable or volatile.
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Improve product readiness
Surface missing specifications, conflicting facts, structured-data gaps, and source coverage that may deserve remediation.
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Understand source influence
See which manufacturer pages, publishers, retailers, and other domains repeatedly appear in web-grounded AI responses.
✓
Separate signal from noise
Repeated runs and stability scoring help distinguish persistent recommendation patterns from one-off AI variation.
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Get a decision-ready report
Receive a reviewed analysis with metrics, competitor findings, opportunities, evidence, and clear methodology limitations.
What you receive
A competitive analysis your team can actually use.
We operate the benchmark for you, review the results, and deliver an evidence-first report. You do not need to install or learn new software.
1
AI recommendation benchmark
Realistic purchase-intent questions tested through a web-grounded AI workflow.
2
Competitor visibility comparison
Observed Recommendation Share, mentions, top-3 appearances, primary recommendations, and product-level results.
3
Eligibility-aware opportunity analysis
Queries where your products fit objective requirements but are missing or losing to competitors.
4
Recommendation stability
Repeated-run analysis showing which findings are stable, moderately stable, or volatile.
5
Source & citation intelligence
Frequently cited domains and source gaps that may matter to AI product discovery.
6
Product-data health review
Known missing, inconsistent, or weak product information surfaced for further action.
7
Human-reviewed executive analysis
Important conclusions are reviewed before delivery and low-confidence findings are clearly labeled.
How it works
Measured like research, delivered like consulting.
Every analysis is operated and reviewed by Recometra so the findings you receive are evidence-backed, quality-controlled, and ready to share internally.
Define the market
We map your priority products, target market, competitors, buyer use cases, and important price bands.
Build the query set
We create a balanced mix of category, customer-specific, and competitor comparison questions.
Run repeated tests
Questions are tested multiple times so unstable recommendation behavior is not mistaken for a reliable ranking.
Resolve & validate
Recommendations are mapped to canonical products, significant unresolved items are reviewed, and headline findings receive QA.
Analyze the gaps
We compare recommendation outcomes with product fit, sources, competitor performance, and available product information.
Deliver the report
You receive a practical analysis with evidence, opportunities, limitations, and recommended next steps.
Built for decisions
Clear evidence. Careful methodology. No black-box score.
Recometra is designed to give product, ecommerce, SEO, and growth teams a defensible view of AI recommendation visibility—not another vanity metric.
✓
Evidence retained
Recommendation results are tied back to the underlying query, response, model, source evidence, and experiment configuration.
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Repeated measurement
Important queries are run repeatedly so unstable AI behavior is identified rather than presented as a fixed ranking.
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Human-reviewed conclusions
Headline findings are reviewed for extraction quality, product identity, competitor attribution, and stability before delivery.
Simple pricing
Start with the benchmark. Add action when you need it.
No software setup or subscription is required. We run the analysis, review the evidence, and deliver the findings to your team.
Competitive AI Recommendation Analysis
Best for: teams that want a clear baseline of where they stand.
$399 one-time
A focused benchmark showing how your brand and products appear against key competitors.
- ✓Company + competitor product setup
- ✓Tailored purchase-intent query benchmark
- ✓Repeated OpenAI recommendation testing
- ✓Observed Recommendation Share
- ✓Product & competitor rankings
- ✓Eligible-but-absent opportunities
- ✓Recommendation stability analysis
- ✓Source/citation intelligence
- ✓Human-reviewed report
Improvement Consultation & Recommendations
Best for: teams ready to turn the findings into an action plan.
$599 one-time
Everything in the competitive analysis, plus a deeper review of what to improve and what to test next.
- ✓Everything in the $399 analysis
- ✓Prioritized visibility opportunities
- ✓Product-data and structured-data recommendations
- ✓Source coverage and content-gap recommendations
- ✓“Why you may be losing” evidence review
- ✓Recommended remediation experiments
- ✓Consultation call to review findings
- ✓Action plan ranked by confidence and priority
Pricing covers a focused product category and a reasonable competitor set. Larger catalogs, multiple countries, or extensive custom research may require a custom scope. Recometra measures observed AI recommendation behavior; it does not sell guaranteed rankings, sales attribution, or guaranteed placement.
What happens next
1. Submit your scopeShare your website, products, market, and key competitors.
2. We prepare the benchmarkRecometra maps products and creates realistic purchase-intent queries.
3. We run & reviewRepeated AI tests are analyzed, resolved, and quality-checked.
4. You receive the analysisGet a clear report with competitor findings, opportunities, and next steps.
Request your Recometra analysis
Tell us what you sell, your target market, and who you compete with. We use this information to scope the benchmark and prepare the right query set.
FAQ
What companies usually want to know.
Clear scope, careful claims, and a human-reviewed output are part of the service.
Is this the same as measuring consumer ChatGPT rankings?
No. Recometra currently measures observed recommendation behavior in a controlled OpenAI API benchmark with web-grounded responses. Consumer-facing ChatGPT may behave differently.
Can you guarantee that AI will recommend our products more often?
No. We identify measurable patterns, data gaps, source gaps, and testable opportunities. We do not sell guaranteed AI placement or guaranteed recommendation outcomes.
How do you handle AI answers that change between runs?
We repeat important queries and calculate recommendation stability. Volatile findings are labeled as such instead of being presented as certain.
What do you need from us?
Your company website, priority products, target market, 3–6 important competitors, key buyer use cases, and the questions your team most wants answered. Public product information is usually enough to begin.
Do we need to give you access to our systems?
No. The analysis can be performed using public product information and the scope you provide. If deeper internal data would materially improve the work, we will ask before using it.
What does “Observed Recommendation Share” mean?
It is the share of resolved primary recommendations attributed to a brand within the monitored benchmark. It is not market share, sales share, or a universal measure of all AI systems.
What exactly do I receive?
You receive a reviewed benchmark report covering recommendation visibility, competitor performance, query-level opportunities, stability, source intelligence, and relevant product-data findings. The $599 package additionally includes prioritized recommendations and a consultation to turn the findings into an action plan.
How large is a typical analysis?
The standard analysis focuses on one product category, your priority products, a practical competitor set, and a tailored group of purchase-intent queries. If your catalog spans many product families or countries, we can scope a larger engagement separately.
Can you analyze another product category?
Yes. The methodology is category-agnostic, but each new category requires product mapping, realistic buyer questions, and relevant competitors before a benchmark is meaningful.
When customers ask AI what to buy, know whether your products make the shortlist.
Start with a focused competitive benchmark and turn AI recommendation behavior into evidence your team can act on.