AI believes what other people say about you. We give it people to believe.
Your own site can make you readable, but it cannot make you recommended. Engines look for corroboration: the Reddit threads, industry roundups, reviews, and press that prove real people vouch for you. Most brands leave that layer to chance. We build it on purpose.
Authority signals are the third-party mentions AI engines lean on when deciding who to recommend: Reddit threads, industry roundups, review platforms, directories, and press. SuperVouch earns your brand a genuine presence in the sources each engine actually reads, so your name keeps appearing where the models look.
Why your own site is not enough
Put yourself in the model's position. Every company's website says that company is excellent. So when an engine assembles a recommendation, it discounts self-description and hunts for corroboration: who else mentions this brand, in what context, on which platforms it trusts. A brand with a perfect site and no third-party footprint reads as unverified, and unverified brands do not get the recommendation slot.
This is the layer our 111-brand research found weakest. Plenty of brands had readable sites. Very few had deliberate, current coverage in the places the engines cite.
Where the engines actually look
Each engine has its own diet, and the overlap is smaller than you would guess: only about 11% of sources cited by ChatGPT also show up in Perplexity. A real authority program covers the spread:
- 01 Reddit and community threads, which ChatGPT and Perplexity lean on heavily for 'best' and 'recommended' questions
- 02 Industry roundups and listicles, the pages engines quarry for category recommendations
- 03 Review platforms and directories relevant to your market
- 04 Press and expert commentary, which carry outsized trust weight
- 05 Wikipedia-adjacent and reference coverage, where your entity gets pinned down
How we earn mentions without faking them
The word is earn. Fake reviews and bought Reddit comments are not just against the platforms' rules; they are brittle, detectable, and increasingly the exact thing engines learn to discount. Worse, getting caught becomes its own story.
So we do it the durable way: genuine participation in the communities where your buyers ask questions, pitching your brand into roundups it honestly belongs in, getting your side of comparisons on the record, making review platforms current, and turning your real expertise into quotable commentary. Slower than buying it, and it lasts. The models keep re-reading these sources, month after month.
What you get
- A map of the sources each engine cites in your category
- Genuine Reddit and community presence where your buyers ask
- Placements in the roundups and listicles engines quote
- Review platform and directory coverage, made current
- Mention tracking, so you see the footprint grow
Authority Signals: FAQ
- Does Reddit really affect what ChatGPT recommends?
- Yes, heavily. Community threads are among the most-cited sources when engines answer 'best' and 'who should I use' questions, because they read as real people with real experience. If your category's most-read thread doesn't mention you, that absence shapes the answer. We wrote a full breakdown in Why AI Loves Reddit, linked below.
- Do you buy reviews or post fake comments?
- No. Fake signals are detectable, against every platform's rules, and increasingly discounted by the engines themselves. Everything we place is real: genuine community participation, roundups you actually belong in, reviews from actual customers we help you collect. It is slower and it is the only version that compounds.
- How long before mentions show up in AI answers?
- Mentions land first, answers follow. Community and roundup coverage can go live within weeks; engines typically start reflecting new sources over the following one to two months as they re-crawl. We track both layers, the mentions and the answers, so you see the chain working.
- Is this just PR or link building under a new name?
- It overlaps, but the target list is different. Classic link building chases domain authority for Google. Authority signals chase the specific sources each AI engine reads and cites, which includes places link builders ignore, like Reddit threads and community forums, and values the mention itself, not just the link.
Further reading
Find out who the engines trust in your category.
The free audit maps the sources behind your category's AI answers, and whether you're anywhere in them.