Which AI models are included by default?

ChatGPT and Google AI Overview are included in every Ayzeo subscription at no extra cost. They are enabled automatically on all new and existing projects.

How do I add more AI models to my project?

Go to your Project Settings and find the AI Models section. Additional models such as Claude, Perplexity, and Gemini are available as add-ons from your subscription page.

Why does my per-model data differ between ChatGPT and Google AI Overview?

Each model uses a different underlying search index and retrieval strategy. ChatGPT searches via Bing, while Google AI Overview uses Google's own index. Your ranking in each search engine directly affects your visibility score for that model.

What does the All Models aggregate show?

The All Models view calculates a true arithmetic mean of each metric across all enabled models that have data for your project. It is not dominated by the latest-run model — every enabled model contributes equally to the average.

Are per-model results included in white-label PDF reports?

Yes. PDF reports include the model breakdown so you can present per-platform performance to clients alongside the overall aggregate.

When should I add AI model add-ons?

Consider add-ons when your audience includes technical professionals, enterprise buyers, or researchers (Claude and Perplexity are particularly relevant), or when you rely on the Google ecosystem (Gemini). Add models early to capture trend data from the start.

Can I see historical per-model trends?

Yes. The trend chart in Citation Analytics shows historical performance for whichever model or aggregate you have selected, from the first time that model ran queries for your project.

Per-Model AI Visibility Analytics: See Exactly Which AI Platforms Cite Your Brand

Table of Contents
1. Why Per-Model Data Changes Everything
2. What's Included in Every Plan
3. Deeper Analysis with AI Model Add-ons
4. The "All Models" Aggregate
5. Reading Your Per-Model Breakdown
6. Why Models Give Different Results
7. Optimizing for Each AI Platform
8. Frequently Asked Questions

1. Why Per-Model Data Changes Everything

Until now, AI visibility analytics gave you a single blended number — an average across all the AI platforms you were tracking. That number is useful, but it hides critical information.

Consider this scenario: your brand has a 70% visibility rate overall. That sounds great. But what if ChatGPT shows you in 95% of relevant queries while Google AI Overview only shows you in 30%? Those two problems require completely different fixes, and the average number disguised the real situation.

"Your aggregate AI visibility score can look healthy while one of the most important AI platforms in the world barely knows you exist."

Ayzeo now breaks down every metric — visibility rate, citation rate, mention rate, and sentiment — by individual AI model. You can see exactly which platforms are working for your brand and which ones need attention, then take targeted action instead of optimizing blindly.

2. What's Included in Every Plan

Every Ayzeo subscription includes analytics for the two AI platforms that reach the largest audiences on the planet:

Together, ChatGPT and Google AI Overview represent the most consequential AI surfaces for the vast majority of brands. If you're only going to track two AI platforms, these are the ones that matter most to your customers today — and that's exactly why they are built into every plan at no additional cost.

3. Deeper Analysis with AI Model Add-ons

The AI landscape is not standing still. New platforms are gaining millions of users every month, and each one represents a distinct audience with distinct search behaviour. For brands that need broader coverage, Ayzeo offers AI Model Add-ons that extend your analytics to additional platforms:

Model	Audience	Why It Matters	Availability
ChatGPT	1B+ weekly users	World's largest AI assistant	Included
Google AI Overview	Billions of searches/day	Top of Google results	Included
Claude	Fast-growing, enterprise focus	Strong in B2B & professional use cases	Add-on
Perplexity	Rapidly growing research audience	High-intent users seeking sources	Add-on
Gemini	Growing across Google ecosystem	Deep integration with Google products	Add-on

The AI search landscape is consolidating fast. Platforms that had niche audiences six months ago now have tens of millions of weekly users. Adding model coverage early means you capture trend data from the start — and you'll know the moment a platform becomes significant for your specific industry before your competitors do.

When should you add more models? When your customers are technical professionals, researchers, or enterprise buyers, Claude and Perplexity are disproportionately relevant. When you rely on Google's ecosystem for traffic, Gemini is an obvious extension. The add-on model lets you scale coverage with your priorities, not ours.

4. The "All Models" Aggregate

When you select All Models in the Citation Analytics view, Ayzeo now calculates a true aggregate — the arithmetic mean of each metric across every enabled model that returned data for your project.

How the Aggregate Is Calculated

Per-model KPIs are computed first

Visibility rate, citation rate, and mention rate are calculated independently for ChatGPT, Google AI Overview, and every enabled add-on model.

Results are averaged across models

Each model with available data contributes equally to the aggregate. Only models that actually ran queries for your prompts are included — never padded with zeros.

Historical trends reflect the daily average

The trend chart is rebuilt as a day-by-day mean across all models, so you can see how your aggregate performance has moved over time without any model dominating the line.

Previously, "All Models" simply showed results from whichever model happened to run most recently per prompt. If ChatGPT ran on Tuesday and Claude ran on Wednesday, Wednesday's All Models view would show only Claude data for those prompts. That was misleading. The new aggregate correctly averages all models so the overview always reflects your full footprint across AI platforms.

5. Reading Your Per-Model Breakdown

In the Citation Analytics dashboard, use the model selector at the top of the page to switch between individual models or the All Models aggregate. Each view shows the same set of KPI cards and trend charts — but scoped to that specific model's data.

What to look for in each model view

Visibility Rate

How often your domain appears in this model's search results for your tracked prompts. A model-specific low score often points to a technical or indexing issue rather than a brand problem.

Citation Rate

Of the times you appear in search results for this model, how often it actually visits your URL. A low citation rate on one model compared to others suggests your content format may suit some models better than others.

Mention Rate

How often this model names your brand in its final answer. Significant differences between models reveal which platforms have stronger brand recognition for you — often tied to their training data sources.

Sentiment

The tone of your brand's mentions on this specific model. Different AI platforms read different sources — a model that draws heavily from review sites may show more negative sentiment than one that prioritises editorial content.

6. Why Models Give Different Results

It's common to see your metrics vary significantly between AI platforms, and this is entirely expected. Each model is a product with its own architecture, training corpus, retrieval strategy, and usage audience:

Training data cutoffs differ — A model trained earlier may not know about recent brand changes, product launches, or shifts in market position.
Search and retrieval strategies vary — ChatGPT performs real-time web searches via Bing; Google AI Overview draws from Google's own index; Perplexity uses its own crawled index. Your ranking in each underlying search engine directly affects your visibility per model.
Audience intent differs — Perplexity users tend to be research-oriented and look for sourced answers. ChatGPT users ask a much broader range of questions. The types of prompts that surface your brand may be different across platforms.
Prompt sensitivity varies — Some models are more likely to cite sources for factual claims; others synthesise and paraphrase without attribution. This directly affects your citation rate per model.

Key insight: A gap between your ChatGPT and Google AI Overview performance is not a failure. It is a signal. The gap tells you which specific element to optimise — your Bing-indexed content, your Google-indexed content, your brand's Wikipedia footprint, or something else entirely.

7. Optimizing for Each AI Platform

Improving ChatGPT Performance

ChatGPT's web browsing uses Bing as its primary search index. To improve your ChatGPT visibility:

Ensure your site is properly indexed in Bing Webmaster Tools
Build content that matches conversational, question-based queries
Use structured content with clear headings that ChatGPT can extract verbatim
Strengthen your Bing presence with the same technical SEO disciplines used for Google

Improving Google AI Overview Performance

Google AI Overview draws from Google's own index and tends to favour pages that already rank in the top results. To improve your AI Overview visibility:

Rank well on Google for your target queries — AI Overviews rarely surface pages that don't rank on page one
Use FAQPage and HowTo schema to signal structured, extractable content
Write direct, answer-first paragraphs immediately below your headings
Build E-E-A-T signals: first-hand expertise, authorship credentials, and third-party recognition

Improving Claude, Perplexity & Gemini Performance (Add-ons)

These platforms tend to favour content that is citation-dense and authoritative. Perplexity in particular surfaces sources prominently in its interface, giving cited brands visible link attribution:

Publish original research and data — unique statistics are highly cited
Create comprehensive, depth-first content that answers questions thoroughly
Build third-party mentions on authoritative domains that these models use as training sources
Use a llms.txt file to help AI crawlers understand your site's most valuable pages

8. Frequently Asked Questions

Q: Do I need to do anything to see per-model data?: A: No. If you already have a project with prompts, your next visibility check will automatically populate per-model analytics. Use the model selector in the Citation Analytics view to switch between models.
Q: Which models are included by default?: A: ChatGPT and Google AI Overview are included in every Ayzeo subscription at no extra cost. They are enabled automatically on all new and existing projects.
Q: How do I add more AI models?: A: Go to your Project Settings and find the AI Models section. Additional models (Claude, Perplexity, Gemini) are available as add-ons from your subscription page.
Q: Why does the All Models aggregate look different from what I expected?: A: The All Models view now calculates a true arithmetic mean across all enabled models that have data. If you previously saw it match a single model's numbers, that was the old behaviour where the latest-run model per prompt dominated the view. The new aggregate is more representative of your overall AI footprint.
Q: Can I see historical per-model trends?: A: Yes. The trend chart in Citation Analytics shows historical performance for whichever model (or aggregate) you have selected. Historical data is available from the first time that model ran queries for your project.
Q: My ChatGPT score is high but my Google AI Overview score is low — what should I do?: A: This gap typically means your content ranks well in Bing (used by ChatGPT) but not in Google. Prioritise Google SEO: build more Google-indexed backlinks, improve page quality signals, and ensure your content satisfies E-E-A-T requirements for Google's quality raters.
Q: Are the per-model results in white-label reports as well?: A: Yes. PDF reports include the model breakdown so you can present per-platform performance to clients alongside the overall aggregate.
Q: Can I disable a model I'm not interested in?: A: You can manage which models run queries in Project Settings. Disabling a model stops future queries but preserves historical data.

Start Seeing Which AI Platforms Champion Your Brand

Per-model analytics are live for all Ayzeo users today. Every subscription includes ChatGPT and Google AI Overview — the two AI platforms with the broadest reach on the planet. If your audience uses other AI tools, expand your coverage with model add-ons and start building the cross-platform picture your competitors don't have yet.

Analyse Your Brand Across Every AI Platform

ChatGPT and Google AI Overview included in every plan. Add more models when you need broader coverage.

Get Started Free Read the Help Guide

Key Takeaways

Per-model data reveals which AI platforms are working for your brand and which ones need attention
ChatGPT and Google AI Overview are included in every subscription — they reach over a billion users per week combined
Model add-ons extend your coverage to Claude, Perplexity, and Gemini as those platforms grow
The All Models aggregate is now a true arithmetic mean across all enabled models, not a latest-run snapshot
Gaps between models are signals, not failures — they point to specific optimisations in the right search index or content format