The strategy is to get into AI answers by being the source engines quote on peptide quality first, and the supplier they name second. Aion appears in 16% of AI answers today. A one-year-old brand can't argue its way into "best supplier" answers, because engines build those from what other sites say. It can own the questions buyers ask before they choose: how to read a COA, how to vet a supplier, what happened to Peptide Sciences. Aion already has the best page on several of these, and engines need a source they can cite.
This runs alongside Phases 3 and 4 of the SEO plan. Vendor-choice prompts move slowest because third-party sites decide them, and those take months to change. Every target is recalibrated once we have the prompt list behind the 16%.
The 16% comes from what the engines can't find: almost no one else talks about Aion, and the engines can't yet tell which "Aion" we are. Audited from the live site, its schema and the Caddy logs.
/shop, /coa and /about. robots.txt allows every major AI crawler./llms.txt is clear. It states the research-use boundary, shipping, payment and returns, the kind of facts engines get wrong without it.| # | Finding | Why it matters | Fix |
|---|---|---|---|
| 1 | Almost nobody else mentions Aion. The company was founded October 2025 and has no Reddit threads, roundup listings, testing-database entries, reviews or press | Engines build vendor-choice answers from third-party sources: Reddit, "best vendor" roundups and testing databases such as Finnrick, which lists 1,982 vendors. An engine won't name a vendor nobody else names | Phase 3 |
| 2 | Weak, ambiguous entity. Other brands also use "Aion". The Organization schema has no sameAs, @id or alternateName, and Aion has no LinkedIn or Crunchbase profile | Engines can't reliably tie a mention back to aion-peptides.com, so they don't count it | Phase 1 |
| 3 | Most content is two days old: 56 URLs in total. The nine articles and 19 product pages went live October 20–21. Bing hasn't re-fetched the three corrected product pages | ChatGPT search draws heavily on Bing's index, and AI Overviews on Google's. A page that isn't indexed can't be cited | Phase 1 |
| 4 | No named person stands behind the content. Articles list "Aion Peptides" as author, with no reviewer and no datePublished | Engines and Google weigh who wrote health-adjacent content | Phase 1. Needs the reviewer from the SEO plan's open questions |
| 5 | No original statistics are live. The transparency report and price index are scheduled for SEO Phase 4 | Numbers nobody else publishes are the content engines quote most | Phase 2: bring them forward |
| 6 | /llms.txt doesn't list the nine articles, three hubs or tools, and there's no /llms-full.txt | A cheap fix for the agents that read it | Phase 1 |
| 7 | We don't know which prompts produced the 16%, and the internal tracker (AION-151) hasn't run its first baseline | We can't move a number we can't reproduce | Week 1 |
The SEO plan's ground rules still apply in full. AI answers add one risk of their own: an engine paraphrases and can merge Aion's words with someone else's dosing advice.
When the prompt tracker finds Aion cited for one of these, we find the page responsible and fix it within a week.
Measurement and entity fixes come first, so the score can be reproduced and every later mention counts toward Aion. Off-site work runs longest because other sites move slowly: pitches sent in December show up in answers in February or March.
Make the 16% reproducible, then make sure every engine can tell exactly who Aion is. Checkboxes save in this browser only.
GateBaseline recorded and reproducible; every page indexed in Bing and Google; entity facts identical in at least five places.
Engines quote numbers no one else has. Aion has them; they just aren't published as data yet.
GateTransparency report and price index live; Aion mentioned in 50% of tier B answers. Phase 3 outreach then runs at full pace.
This is the biggest lever. Vendor-choice answers are assembled from what other sites say, so Aion has to appear on the sites the engines already cite.
GateAion named on 15 or more of the third-party domains the engines cite.
Each month, win back the prompts we lost and correct anything an engine gets wrong.
One blended score hides where we're winning. Targets assume the 16% tool's prompt mix and are recalibrated after the week-1 baseline.
| Metric | Source | Today | Week 13 | Week 26 |
|---|---|---|---|---|
| Overall AEO score | Your AEO tool, same prompts each month | 16% | 40% | 65% (90% at 12 months) |
| Tier A: branded prompts answered with correct facts | Prompt tracker | Unknown | 90% | 95%+ |
| Tier B: owned-topic prompts that mention or cite Aion | Prompt tracker | Unknown | 50% | 90%+ |
| Tier C: vendor-choice prompts that name Aion | Prompt tracker | Unknown | 15% | 50% |
| Tier X: don't-want prompts that cite Aion | Prompt tracker | Unknown | 0 | 0 |
| Third-party domains the engines cite that name Aion | Citation map | 0 | 5 | 15+ |
| Wrong facts about Aion in any answer | Prompt tracker | Unknown | 0 | 0 |
| Visits from AI assistants per month | GA4 referrals plus the checkout question | Not tracked | Baseline | 5× baseline |