Sample deliverable
Every Snapshot follows the same structure. Part 1 diagnoses where you're losing visibility. Part 2 sequences the fixes. The appendices give you the actual files you ship.
Get your report — $499 arrow_forward15–25 page PDF · plus drop-in files (llms.txt, schemas, metadata, page copy) · curated by AI experts · 24-hour turnaround
Every Snapshot contains
Part 1
Where you're losing visibility
Five diagnostic sections covering mention rate by buyer stage, painpoint-to-product gaps, AI sentiment, appearance economics, and query patterns.
Part 2
Implementation to lift visibility
Phases A through I — sequenced from ship-in-a-day quick wins to the 60–90 day measurement plan.
Appendices
The actual files you ship
llms.txt, robots.txt edits, slug/title/meta/H1 specs for new pages, JSON-LD product and FAQPage schemas.
Part 1
200+ real buyer scenarios specific to your domain, vertical, and competitors. Run across the major AI systems. Each section below is one chapter of the diagnostic.
1.1 — From the report
Your overall surfacing rate across the buyer sample, broken down by where each buyer is in their journey — from casual exploration to spec shortlist. The funnel shape tells you whether the gap is awareness, comparison, or decision-stage.
| Buyer stage | What it captures | Reported as |
|---|---|---|
| Just hit the pain | Casual exploration, no vocabulary yet | Sample size · mentions · rate |
| Talking it out | Plain-language prompts, no jargon | Sample size · mentions · rate |
| Researching | Formal vocabulary, category-aware | Sample size · mentions · rate |
| Comparing | Narrowing options between vendors | Sample size · mentions · rate |
| Spec shortlist | Decision imminent, named criteria | Sample size · mentions · rate |
What this means → Where in the funnel the visibility gap actually lives — and which phase of the fix list addresses it.
1.2 — From the report
Every recurring buyer painpoint we observe, mapped to the product or page on your site that should answer it — and what's missing that prevents AI from making the connection.
| Painpoint | Your product fit | What's missing | Fix phase |
|---|---|---|---|
| Each row pairs a real buyer-language painpoint with the page-level fix that closes it. Phase reference links to Part 2. | |||
What this means → Most B2B SMB catalogs already cover every painpoint. The gap is the page layer — content that lets AI connect a buyer's question to the matching product.
1.3 — From the report
Sentiment and accuracy of every appearance: fabricated claims, wrong specs, hallucinated case studies. Plus the citation split — what percentage cites your own domain versus a reseller versus an independent publisher.
Accuracy audit
Count of fabricated claims, wrong specs, and hallucinated case studies across the buyer sample.
Citation share
Percent of mentions citing your own domain, a reseller or partner, or an independent third-party publisher.
Positioning
How AI frames you against the category — niche specialist, primary option, or footnote.
What this means → Brand safety, editorial coverage, and the upside ceiling for awareness-stage queries.
1.4 — From the report
Two appearance shapes: a citation (AI cites a URL as a source) and a recommendation (AI explicitly names you inside its reply). The recommendation is worth roughly an order of magnitude more than a citation for converting an AI conversation into a lead. Each appearance type is reported with calibrated CTR and predicted lead rate.
| Appearance type | Count | CTR (mean / median / p90) | Predicted lead rate |
|---|---|---|---|
| All citations (benchmark) | — | Reference baseline | — |
| All recommendations (benchmark) | — | ~12× citation baseline | — |
| Your citations | Filled in your report | Delta vs all-citations | per 10,000 conversations |
| Your recommendations | Filled in your report | Delta vs all-recommendations | per 10,000 conversations |
What this means → Whether your placement quality is the bottleneck, or your appearance frequency is. Drives whether Phase B (new pages) or Phase D (existing-page edits) is the higher-leverage move for you.
1.5 — From the report
The query patterns AI uses, where you currently surface, and your share of voice across direct category competitors.
Pattern map
The three to five query patterns AI uses most often — the highest-leverage phrasings to build pages around.
Where you show up
The queries you currently win, with the specific product or page each appearance is anchored to.
Brand voice share
Your share of voice across all buyer queries vs. your direct category competitors, named with percentages.
What this means → The exact phrasings to target with Phase B (new pages) and Phase D (existing-page H2/title edits).
Part 2
The fixes, sequenced by speed-to-impact. Phase A ships in a day. Phases B–D unfold over 4–6 weeks. Phases E–F gate the final indexing push. Phases G–I set the measurement frame.
Quick wins · ship in a day
Disambiguation of category vocabulary in H1s and title tags site-wide. Replacement robots.txt that explicitly allows AI crawlers. New llms.txt giving AI a structured map of your catalog and key pages. Each fix scoped to hours, not days.
New landing pages · largest visibility lift
Each new page comes with full specs in Appendix B: slug, title tag (≤60 chars), meta description (≤155 chars), H1, H2 candidates, focus keyphrase, internal links, hreflang alternates. You ship the page — Metricus has decided every metadata field.
Blog posts · open the awareness funnel
Targeted at the casual-exploration buyer stage from Part 1 — the one most often near-zero. Each post gets slug, title, meta description, and focus keyphrase, sized to ship without a content-team production cycle.
Existing pages · incremental edits, not rewrites
For the highest-impact existing pages, change only the title tag, meta description, and H1, and add one new buyer-language H2 above the existing content. Body content stays. Each change presented as a current-vs-recommended table.
Structured data · every product and category page
Three fully-worked Product/Offer JSON-LD examples in Appendix C — drop-in ready, with SKU, brand, manufacturer, additionalProperty, and Offer blocks pre-filled. One worked FAQPage example for a category page. The remaining product URLs needing the same treatment are listed for completion.
Submit for re-indexing
Step-by-step submission for each search system after Phases A–E ship — including IndexNow key generation, GSC URL Inspection per new page, sitemap submission, and Brave URL submission for the new landing pages.
What to expect
When traffic shows up, which AI platform refreshes first (typically Claude.ai), how long behind ChatGPT runs, and what to watch in Google Search Console for Gemini-side signals.
Monitor list · check weekly
A short list of high-leverage prompts split into two groups: ones likely to surface your brand for the first time after Phases A–B ship, and ones likely to lift your conversion potential after Phase D ships. Each prompt comes with the calibrated CTR baseline and the recoverable gap.
How to measure success
Week 1–2: AI surface refresh (run the monitor prompts in ChatGPT/Claude). Week 3–6: Search Console impressions and clicks on the new pages. Day 60–90: re-run the same buyer scenarios — realistic target ranges and the diagnostic for what to re-trigger if a layer doesn't move.
Appendices
Not descriptions of what to fix — the files themselves. Named to match where they go on your site.
A
llms.txt
Plain text, UTF-8, drop at /llms.txt. Includes a one-line brand summary, your product categories with URLs and descriptions, key pages, frequently-asked specs, locations, regional domain alternates, and named distribution partners.
B
Page metadata
For Phase B (new pages): slug, title tag, meta description, H1, H2 candidates, focus keyphrase, internal links, hreflang alternates. For Phase D (existing-page edits): current → recommended for title, meta, H1, plus the new buyer-language H2 to add. Plus the robots.txt replacement block.
C
JSON-LD examples
Three fully-completed Product/Offer JSON-LD blocks — Brand, Manufacturer with postal address, countryOfOrigin, additionalProperty (capacity, certifications, dimensions), Offer with priceCurrency and availability. One FAQPage JSON-LD example for a category page. Plus the list of remaining product URLs to apply the same treatment to.
Every Snapshot
No Snapshot is published automatically. Every section above — the funnel, the painpoint-to-product mapping, the appearance economics, the phased fix list, the drop-in files — is reviewed line by line by AI experts before delivery.
Reviewers check the file specs against your live site, sanity-check the recommended slug/title/H1 pairs for category fit, and verify the JSON-LD blocks parse cleanly. If anything in the draft doesn't hold up, it's rewritten or removed before the PDF goes out.
This is why a Snapshot ships in 24 hours, not 24 minutes. Manual review is the bar between an automated dashboard and a deliverable you ship.
Disclaimer. Every Snapshot's findings and recommendations are informational. They reflect a point-in-time view of how AI describes your brand and do not claim correctness. We recommend reviewing each recommendation before deployment.
A redacted real Snapshot delivered to your inbox — every section filled in, drop-in files included, brand-specific identifiers anonymized. One email with the PDF. No subscription, no follow-up sequence.
Snapshot · $499 · delivered in 24 hours · curated by AI experts
You send your website, brand name, and delivery email. Metricus sends back the PDF and the drop-in files — every section above, filled in for your brand. One-time, no subscription.
Every Snapshot follows the same structure: Part 1 diagnoses where you're losing visibility (mention rate by buyer stage, painpoint-to-product gaps, sentiment, appearance economics, query patterns). Part 2 sequences the fixes (Phase A quick wins through Phase I measurement plan). Appendices deliver the actual drop-in files: llms.txt, robots.txt edits, page metadata specs, and JSON-LD schemas. PDF is 15–25 pages.
The actual files you ship — not just descriptions of what to fix. The Snapshot includes a ready-to-deploy llms.txt for your domain, the robots.txt edits, JSON-LD product/FAQPage schemas, slug/title/meta/H1 specs for new pages, and the page copy to add to existing pages. Named to match where they go on your site.
Within 24 hours of submitting your website, brand name, and delivery email. Every Snapshot is curated by AI experts before delivery.
$499 one-time. No subscription. No tiers. Useful-report-or-refund guarantee.
Yes. Enter your email above and we'll send you a redacted real Snapshot — every section filled in for an actual B2B SMB, with brand-specific identifiers anonymized. Free, no follow-up sequence.