3,464
Study or evidence
43.44% of this universe
Research, study, trial, evidence, methodology, and related language under the deterministic classifier.
Original aggregate report · version 1.0.0
A search-intent map that keeps demand signals, content decisions, and policy boundaries separate.
Six authenticated United States Keyword Planner exports produced 8,696 rows and 7,974 deduplicated suggestions. This public report includes only aggregate intent, cluster, volume band, route coverage, and policy counts. It never includes raw queries.
Educational content only. Not medical advice.
Published by PeptideSchool Editorial Desk · Published and reviewed August 11, 2026
Dataset receipt
v1.0.0
- Input rows
- 8,696
- Unique suggestions
- 7,974
- Duplicates removed
- 722
- Topic clusters
- 9
- Intent classes
- 8
- Raw queries public
- No
How to read the report
One collected universe, three different kinds of evidence.
Provider estimates, PeptideSchool classifications, and first-party outcomes answer different questions. The report keeps them in separate layers so a large suggestion count cannot be mistaken for market share, a mapped route cannot be mistaken for a ranking, and a paid candidate cannot be mistaken for a conversion.
Provider estimate
Keyword Planner supplied suggestions and approximate historical metrics for the selected United States, English, Google, and all-device settings. The values are estimates rather than PeptideSchool performance.
Editorial classification
Deterministic rules assigned intent, topic cluster, policy risk, and a possible educational destination. These labels are reproducible heuristics and can still be incomplete or wrong at the query level.
Outcome evidence
Clicks, engaged visits, signups, purchases, and reconciled revenue require separate GA4, Google Ads, Supabase, and Stripe receipts. None of those outcomes is inferred from this dataset.
The seed set influences the suggestion universe. The 39.94% research-method share, for example, describes this collection and its broad research-method expansion; it does not claim that 39.94% of all peptide searches belong to that topic.
Intent composition
Study/evidence and general information dominate the classified set.
Intent assignment follows a declared order: transaction, comparison, calculation, study/evidence, definition, practical education, compound topic, then general information. A stronger rule wins when a suggestion contains more than one signal.
2,622
Informational
32.88% of this universe
General explanatory language that did not meet a narrower intent rule.
982
Tool or calculation
12.32% of this universe
Calculation, conversion, dilution, reconstitution, concentration, and related tool language.
529
Compound or peptide topic
6.63% of this universe
Peptide or named-topic language without a stronger study, calculator, definition, comparison, or transaction signal.
320
Definition
4.01% of this universe
What-is, meaning, definition, glossary, or explained language.
31
Comparison
0.39% of this universe
Versus, compare, difference, or alternative language.
19
Commercial or transactional
0.24% of this universe
Buy, sale, shop, supplier, vendor, wholesale, coupon, purchase, or order language; excluded from public activation.
7
Practical education
0.09% of this universe
How-to, guide, interpret, or understand language not already classified into a stronger intent.
Topic-cluster map
Nine clusters, each with an organic action and a paid boundary.
Educational route coverage means the classifier found a truthful public destination in the August 11 route registry. It does not mean that the page ranks, satisfies the specific suggestion, deserves a new page, or should receive ad spend.
39.94% of collected universestudy or evidence
Research methods
- Suggestions
- 3,185
- Mapped education
- 100.00%
3,185 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Maintain source-backed study-design and evidence-reading guides, then use query-level review to improve internal language and navigation rather than creating near-duplicate pages.
Paid boundary
SEO and research evidence only. The cluster is not Calculator acquisition intent and is not eligible for automatic paid activation.
Interpretation: The largest cluster reflects the broad research-method seed set and Google suggestion expansion. It is a map of the collected universe, not a claim that 39.94% of all peptide searches concern research methods.
32.24% of collected universeinformational
General science review
- Suggestions
- 2,571
- Mapped education
- 5.83%
150 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Hold for manual relevance clustering. A broad suggestion is not sufficient evidence to create a PeptideSchool page or to infer peptide-specific demand.
Paid boundary
Hold. Relevance to the active Calculator campaign is unproved and no paid keyword should be created from this aggregate.
Interpretation: This residual cluster contains broad scientific language not assigned to a narrower PeptideSchool job. Its low mapping rate is an intentional guardrail, not a content-gap quota.
11.25% of collected universetool or calculation
Scientific calculators
- Suggestions
- 897
- Mapped education
- 12.60%
113 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Use only the subtopics that match PeptideSchool's educational calculation scope. General scientific calculators remain outside the site unless a distinct research-learning job is proved.
Paid boundary
SEO and research evidence only unless query-level Calculator relevance, landing-page match, compliance, and native validation are all proved.
Interpretation: Calculator wording is not automatically peptide-calculator intent. Most records in this cluster refer to broader chemistry, mathematics, statistics, or conversion jobs.
7.41% of collected universecompound or peptide topic
Peptide science
- Suggestions
- 591
- Mapped education
- 100.00%
591 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Map only to source-backed public profiles, glossary pages, comparisons, or the research hub. Compound-specific wording requires direct evidence and current status context.
Paid boundary
SEO-first. Forty-eight regulated or compound-specific records across the full universe remain held for query-level policy and landing-page review.
Interpretation: Route coverage indicates that a truthful educational destination exists; it does not establish ranking, indexation, search satisfaction, safety, approval, or commercial eligibility.
7.40% of collected universeinformational
Statistics and interpretation
- Suggestions
- 590
- Mapped education
- 73.90%
436 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Strengthen complete explanations of uncertainty, effect sizes, study results, and risk measures where the mapped guide already answers the research-reading job.
Paid boundary
SEO and research education only. Statistical-learning intent is not a substitute for Calculator acquisition evidence.
Interpretation: Coverage reflects existing research-method guides. It should be evaluated with indexation, impressions, engagement, and editorial quality before any expansion decision.
1.08% of collected universetool or calculation
Peptide calculator
- Suggestions
- 86
- Mapped education
- 100.00%
86 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Keep the canonical Calculator guide, unit checks, synthetic test vectors, and research-workspace continuation aligned to the same educational job.
Paid boundary
Seventy-five records are candidates for exact or phrase review only. Activation still requires query review, compliance, an exact-delta receipt, native validate_only, owner approval, and post-checks.
Interpretation: A mapped calculator query is a candidate, not a winner. Keyword Planner estimates do not prove clicks, engaged visits, signups, purchases, or incremental value.
0.34% of collected universestudy or evidence
Peptide evidence
- Suggestions
- 27
- Mapped education
- 100.00%
27 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Connect source-backed compound profiles to study-reading guides while preserving the difference between preclinical evidence, human studies, regulatory records, and unresolved questions.
Paid boundary
SEO and editorial research only. Ten compound-specific evidence records remain held for policy and landing-page review.
Interpretation: The small classified count is a property of the seed and rule set, not evidence that peptide-evidence interest is small in the wider market.
0.24% of collected universecommercial or transactional
Excluded transactional
- Suggestions
- 19
- Mapped education
- 0.00%
0 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Do not build transactional substance pages. Preserve the terms only in the protected internal audit trail so exclusions remain reproducible.
Paid boundary
Manual negative-keyword candidate only. No automatic exclusion, activation, sales page, offer, or substance promotion is created from this report.
Interpretation: These records are deliberately counted but their raw wording is not republished. Any generic route assignment in the source universe is ignored by this public eligibility layer.
0.10% of collected universeinformational
Laboratory methods
- Suggestions
- 8
- Mapped education
- 50.00%
4 suggestions map to an eligible educational destination after the public exclusion layer.
Organic action
Use only where a laboratory-method or glossary page can explain measurement and analytical context without implying product verification.
Paid boundary
SEO and research education only. Laboratory-method intent is outside the active Calculator campaign.
Interpretation: The count is too small and seed-dependent to support a market conclusion. It remains a directional classification audit only.
Estimated-volume bands
Band counts show how the provider estimates are distributed. They do not represent total demand.
Google documents average monthly searches as approximate values averaged across the past 12 months. This report counts how many deduplicated suggestions fall into each band. It does not sum the estimates because close variants, seed expansion, aggregation, and overlap can make a summed number misleading.
0 estimated searches/month
280
suggestions in this collected universe
10-99 estimated searches/month
6,279
suggestions in this collected universe
100-999 estimated searches/month
1,057
suggestions in this collected universe
1,000-9,999 estimated searches/month
276
suggestions in this collected universe
10,000+ estimated searches/month
70
suggestions in this collected universe
Estimate unavailable
12
suggestions in this collected universe
Policy and activation gate
Search evidence can stop a decision; it cannot authorize one.
The protected source universe retains compliance-relevant categories for auditability. The public release exposes only category counts and actions. It does not reproduce personal-medical, dosing, body-outcome, regulated-compound, or transactional query strings.
5,220
Educational or scientific; relevance review
SEO and research universe only unless a narrower landing-page job is proved.
2,563
Off-scope or ambiguous
Manual clustering; no automatic page or paid keyword.
75
Educational calculator candidate
Exact or phrase review candidate only; no automatic activation.
49
Personal medical, dosing, or body-outcome language
High-compliance hold; raw wording excluded from the public dataset.
48
Regulated or compound-specific language
Scientific-context and query-level policy hold.
19
Commercial substance intent
Exclude from paid activation and do not build a transactional page.
The 75 Calculator review candidates remain candidates only. No keyword, negative, ad, bid, budget, campaign, audience, goal, landing page, or conversion setting was created or changed by this report.
Reproducible method
The public files are generated only after the aggregate matches the protected source ledger.
1. Fingerprint inputs
Record six export identities, row counts, date window, market, language, network, and SHA-256 hashes. The raw exports remain outside the public download.
2. Normalize and deduplicate
Lowercase and whitespace-normalize suggestion text, then merge repeated records across source batches. The process removed 722 duplicate rows.
3. Classify deterministically
Apply declared, ordered rules for intent, topic, policy risk, organic action, paid boundary, and possible educational destination.
4. Map public routes
Compare only eligible records with the canonical PeptideSchool route registry. Transactional records receive zero public educational coverage even if a generic source mapping exists.
5. Aggregate and redact
Publish counts, percentages, fingerprints, methodology, and boundaries. Reject raw query strings, user data, credentials, tokens, Semrush rows, and protected wording.
6. Verify release bytes
Generate JSON, CSV, JSON Schema, license, and SHA-256 receipts; then test route, schema, sitemap, prerender, navigation, health monitoring, and ledger parity.
The classifier is versioned code, not a human-reviewed truth label for every suggestion. Changes to rules, seeds, target routes, source period, provider settings, or privacy boundaries require a new version or a documented review. Semrush data is not included because the connected plan did not provide the licensed export/API rows required for publication.
Source notes
Provider definitions and PeptideSchool interpretation rules remain visible.
Google Ads Help
Use Keyword Planner
Defines Keyword Planner suggestions and monthly-search estimates and cautions that campaign performance depends on additional factors.
Open sourceGoogle for Developers
KeywordPlanHistoricalMetrics
Defines average monthly searches as an approximate past-12-month metric and documents competition and bid fields.
Open sourcePeptideSchool Editorial Desk
PeptideSchool Sources and Methodology
Defines the public claim-to-source and insufficiency framework used to stop search demand from becoming unsupported content.
Open sourceDownloads and integrity
Reuse the aggregate structure without inheriting unsupported conclusions.
JSON landscapeSummary, methods, intent, policy, volume-band, and cluster aggregatesCSV cluster tableOne aggregate row per topic cluster; no raw query stringsJSON SchemaMachine-readable fields, enums, and privacy constraintsSHA-256 checksumsIntegrity receipt for every published fileLicenseCC BY 4.0 scope and third-party data boundary
PeptideSchool's classifications, aggregation, schema, methodology, and commentary are CC BY 4.0. Google data, Google Ads, Keyword Planner, provider estimates, trademarks, protected exports, and linked third-party materials are not relicensed by PeptideSchool and remain subject to their own terms.
Continue from demand to evidence
Use this report to choose a question, then follow the sources that address it.
Browse the public research registry for complete source-backed guides, inspect the article-to-source inventory for provenance, or open the Calculator guide to understand the educational math and its limits.