@TrustGrowth_ai Interesting, more runs per day makes sense for seeing time patterns. Do you see the results change much by time of day, or is most of the variation between runs at the same time?
@AlDev0 Thatโs the better question. crawled and getting traffic is what makes a link worth anything. Do you see syndicated pickups get indexed at all, or mostly ignored?
Ask your agency how many of the links their PR earned are followed.
Ours: 104 followed links, out of about 1,265 new backlinks, from one survey campaign.
If they can't answer, you're missing out.
#publicrelations#AIvisibility#seo
@samigrows Great point on starting from Search Console. For ecommerce, swap service pages for collection pages and track revenue per landing page, not leads. Also worth adding: AI Overview citations now affect whether buyers click at all.
@AnthonyEclipse Cool build. Curious how the pages perform after publishing. Did you check whether the descriptions were unique, or do you give the AI the supplier copy to work from? That tends to decide whether the pages ever rank.
@semrush Good framework. For step 2, how often does the cited page turn out to be a competitorโs blog post, not a product or category page? That split would change what you fix first.
@wleatherman9 Agreed, single screenshots are just noise. The only version I trust is running the same prompt set many times and reporting how often a brand shows up as a percentage. How many runs per prompt do you think it takes before the number settles?
@samuelrdt Logging the web searches is the clever part. How different were the queries the models actually ran from the original buyer questions? Iโd guess they break each one into several smaller searches.
@SEOKeval Client 3 is the one I keep thinking about. 10 searches a month and a $55K sale is the best argument for high-intent long-tail keywords. Do you pick those on purpose, or do they come out of the product-level research?
@cleeeeeeeeement Giving the whole system away is a great move. Curious how it handles ecommerce sites. Does it prioritize product and collection pages differently from blog content?
Honest question for Shopify founders: do you know which 20 pages are already ranking 5th to 9th?
That's where TriRig started: +$66,237 organic revenue in 4 months.
If you don't, that's your first SEO task.
#seo#ecommerce#Shopify
ChatGPT, Claude, and other AI tools don't form opinions in a vacuum. They lean on web index data, and Google is the primary indexing layer.
Google SEO and AI visibility complement each other.
New video.
#seo#AEO#AIvisibility#ecommerce
Dr. Brandt's SEO sat untouched for 3 years.
The first 73 days of work: $310K in organic revenue and 1,551 organic purchases.
Neglected sites carry the most upside.
#seo#ecommerce#Shopify
@alexgroberman The Maps gap is the key finding: strength in one channel doesnโt carry over. Same for ecommerce. A store can rank well in Google and still not get named by AI. Clear product and collection page content is what gives AI something to cite.
@bloggersarvesh Good thread. One addition: on-site comparison pages are only half of it. AI also leans on what others say about you, so Reddit discussions and press coverage matter as much as your own โbest ofโ pages. The brands that show up usually have both.
@startshop_ai Agree on โgetting answered.โ The fix is on the product page itself: plain-text answers, structured data, and an FAQ section. Thatโs what makes a store the one AI names.
AI answers pull from what's published about your brand across the web.
Brands skipping PR for AI visibility are missing out. We're already running it for Lillie & Lee.
#publicrelations#AIvisibility#ecommerce
How to show up in Google AI Overviews. On-site signals that earn a citation:
- Direct answers in plain text
- Structured product data
- FAQ sections on product and collection pages
- A short, specific intro on collection pages
New video.
#seo#AEO#AIvisibility#ecommerce