How Alethia works
You could be getting a LOT more Agentic sales.
Alethia is the easiest way to get recommended in AI, get more traffic, and get more sales and revenue. See how we do it.
The process
How Alethia works
See
See how AI platforms recommend your products.
Find where you're losing
See where competitors are being recommended instead of you.
Understand why
Understand the GEO factors, content, product information and sources influencing those recommendations.
Know what to change
Get specific actions to improve your AI recommendations.
Measure the result
Connect AI recommendations to traffic, Shopify activity, agentic purchases and revenue.
Benefits
Everything you need to grow through AI.
More AI recommendations
Get your products recommended more often when customers ask AI what to buy.
More AI traffic
Understand and grow traffic coming from AI discovery.
More agentic sales
Track the journey from AI recommendation to purchase.
Competitor intelligence
See who AI recommends instead of you, and where they are winning.
7 GEO variables
Understand exactly what is affecting your AI performance.
Clear actions
Know what to change instead of receiving another dashboard full of data.
Product and SKU-level visibility
Understand how individual products perform in AI, not just your brand.
Revenue measurement
Connect AI activity back to Shopify orders and revenue.
The thesis
Answers are assembled from a small, stable set of sources per buying question. The engines draw on the same pages again and again. For each focus product we identify those pages, then close the gap on the few that matter, in both directions at once.
Quantitative. Be present on the pages that shape the answer, where competitors are present and you are absent.
Qualitative. Match or beat the evidence the winning product shows on those same pages: specs, fit data, reviews, framing.
This improves the evidence available to the engines and raises the probability of inclusion and position. It does not guarantee a rank, and we never claim it does. The claim is proven per product by re-running the same questions against matched untouched comparison products, then following the chain through to sessions, orders and revenue.
Why isn't this product being recommended?
Worked example
One product. Ten questions. A handful of sources that matter.
Every source considered
For that product's questions we record every page the engine drew on, and how often. A source that keeps appearing matters more than one that appears once.
Present where you are absent
We isolate the sources the winning products appear on and you do not. That intersection is the shortlist.
The text, not just the target
For each shortlisted source we show what needs to exist and at what quality, alongside the outreach or content action required to get it there.
Source taxonomy
Every source is classified by what you can actually do about it.
A Reddit thread and a buying guide are both citations. They need completely different responses, and one of them you should never touch directly.
You can edit these directly
- Product detail pages
- Collection pages
- Blog and guides
- FAQ pages
- Your own comparison pages
- Machine-facing brand files
You can pitch these, you cannot edit them
- Buying guides
- Editorial reviews
- Third-party comparisons
- YouTube reviews
- Press coverage
- Directories
Reachable through the relationship, not outreach
- Trustpilot
- Google Reviews
- Sitejabber
- On-site reviews
Listen only. Never seed.
- Reddit threads
- Niche forums
- Quora
- Indexed community mentions
Out-build these, do not request them
- Alternatives-to pages
- Competitor posts naming you
Reachable through the relationship, or structural
- Retailer listings
- Merchant Center feeds
- Retailer buying guides
- Wikipedia
- Certification bodies
The advice follows the source
What we tell you to do depends on where the gap is.
| Source type | What Alethia recommends |
|---|---|
| Reddit or forum thread | Which threads carry weight, and what a legitimate presence looks like. We never seed. |
| Review platform | The review volume, recency and attribute coverage you need, and the programme to get it from real customers. |
| Competitor blog | The topic to out-build, at the depth and evidence level the engine is already rewarding. |
| Comparison site | The contact, the angle, and the exact content that needs to exist for them to include you. |
| Buying guide | The format that shapes the most answers in practice. Outreach kit written and queued, ready to send. |
| Your own product page | The specific attributes and evidence the winning product shows and yours does not. |
Outcome memory
Suggested. Done. Moved.
Every recommendation becomes one record with three parts. It only advances when there is evidence.
Written before the outcome is knowable
The diagnosis, the change, what we expected it to do, and how confident we were. Recorded at approval time and never edited afterwards.
Advances only on detected evidence
We check whether the change actually shipped, and whether it shipped as suggested or modified. Nothing advances on self-report alone.
Opens only after step two verifies
Affected questions re-run at 14 and 28 days, compared against untouched products, then joined to sessions, orders and revenue.
Credit what was done
Outcomes are attributed to what actually shipped, not to what was recommended.
Keep the failures
Records where nothing was implemented are kept. They measure adoption and act as a free check on drift.
Only clean results teach
Verified, unconfounded results update what we believe. Everything else is stored and quarantined.
No commitment
See how AI is selling your products.
Get your free Alethia AI report and see where your brand stands across the AI platforms your customers are already using.
