At Viizable we have a process in place to ‘re-weight’ our 141 proprietary scoring criteria to ensure that our system stays in sync with what AI engines require in order for a site or business to be visible and trustworthy enough to earn a recommendation.
ChatGPT, Gemini, Grok, Claude and Perplexity each ranked the 12 things that decide whether a business gets recommended. Independently, all five put Reputation on top.
Spend ten minutes on any SEO forum and you'll find the same fight: schema markup vs. page speed vs. keywords vs. backlinks — everyone certain they know what gets a business recommended by AI. So we stopped reading the arguments and used our weighting system API to query the top AI engines.
ChatGPT, Gemini, Grok, Claude and Perplexity were each asked to split 100 points across the 12 categories that decide whether a business gets recommended. They never saw each other's answers. Every single one put Reputation at the top — averaging 12.4 of 100 points, a full 25% ahead of the next category. When five competing AI systems agree on something independently, it stops being an opinion and starts being a fact.
Ask ten SEO consultants what it takes to show up in AI search and you'll get ten answers. One swears by structured data. One says site speed is everything. One is still selling backlinks. They're not lying — they're working from a pre-AI playbook, applying what ranked pages on Google in 2015 to a system that doesn't work anything like Google.
The problem with the debate is that it's all opinion. Nobody asks the actual decision-maker. But the decision-maker — the AI engine — will tell you exactly what it weighs.
The issue is, without knowing the 140-plus individual criteria that we've identified to be the joints on the scaffolding of websites and businesses that are AI recommended, you'll struggle to get a good answer. Just asking “what is most important to you to recommend a business?” results in an answer too vague to be valuable.
We took the 12 categories of trust signals an AI assistant evaluates when it decides which local business to recommend. Then we ran the same exercise through five separate engines — ChatGPT (GPT-4o), Gemini 2.5, Grok-3, Claude Sonnet 4.5, and Perplexity Sonar.
Each engine was given 100 points and asked to distribute them across the 12 categories by importance. No leading, no hints, no shared answers. We normalized each engine's response and averaged them. Five independent votes — one ranking.
Here is the full ranking, averaged across all five engines. The number is each category's share of the 100-point recommendation decision.
Notice what's near the bottom: Social Presence. One of the loudest topics on the SEO forums — and the AI engines rank it at the bottom. Reputation, the thing owners rarely build a strategy around, is #1 by a wide margin.
And it wasn't close on any single engine. Here's how each one weighted Reputation:
It makes sense once you think about what an AI assistant is actually doing. A Google results page never recommended anyone — it just listed links and let you decide. When ChatGPT names one dentist, it is vouching for that business. It is putting its own credibility on the line.
So it leans hardest on the signal that is hardest to fake: what other people independently say about you. Reviews, ratings, recency, how you respond, whether you show up consistently across independent platforms. You can rewrite your homepage in an afternoon. You cannot fake 200 recent, consistent, well-answered reviews. AI knows that — and weights accordingly.
"Reputation" inside the Viizable Score is not one thing — it's 10 measurable signals. You don't need all 10 at once. These four move the needle fastest, in order.
The SEO forums will keep arguing about schema and speed. Meanwhile, the AI engines have already told us — unanimously — what they weigh first: reputation. If you do one thing this quarter to get recommended by AI, build a steady, recent, multi-platform stream of reviews. It's the #1 category, and it's the one you most directly control.
The Viizable Score measures your business against 141 trust signals — across the 12 categories above — that AI assistants weigh when deciding which businesses to recommend. The model is built by reverse-engineering what the AI engines reward and what they ignore, calibrated against nearly 30,000 business scans, and continuously re-baselined through direct interaction with the AI platforms as their requirements shift.
Your score is a baseline: one number that tells you exactly where you stand today. As you make improvements, you re-scan and watch the number move — so you can measure real progress toward being recommended, instead of guessing at it. It turns "I think our website is fine" into "we went from 41 to 68, and here's the next step."
