Arrow One evidence base.
Ten discovery paths.
Build your AI visibility strategy around the platforms your buyers use. Understand how each experience finds sources, what to improve, and what the evidence can actually tell you.
What is AI visibility?
AI visibility is the presence of your business in AI-generated answers: a mention, a recommendation, a linked citation or a discovery path that leads a buyer to your website. These are different outcomes. A useful GEO plan connects the buyer question, the public evidence and a measurement method appropriate to each platform.
Search assistants, research tools and AI features inside search engines do not produce one universal ranking. This directory gives each experience a distinct plan while connecting them to the same accurate product, pricing and evidence pages.
Where do your buyers ask?
Choose the experience first. Each guide contains a source-based explanation, six implementation steps, an illustrative scenario, a review checklist and linked official documentation.
10 platform guides
AssistantsChatGPT AI visibility
Separate search discovery from remembered brand knowledge.
Explore the ChatGPT plan →
AssistantsMicrosoft Copilot AI visibility
Public web evidence and private work content are different channels.
Explore the Microsoft Copilot plan →
AssistantsClaude AI visibility
Test discovery and document interpretation independently.
Explore the Claude plan →Grok AI visibility
Keep current announcements anchored to an accurate owned page.
Explore the Grok plan →
ResearchPerplexity AI visibility
Assess the claim supported by a citation, not just the link count.
Explore the Perplexity plan →
AssistantsGemini AI visibility
One Google brand does not mean one measurement surface.
Explore the Gemini plan →
SearchGoogle AI Overviews AI visibility
Eligibility is a check; inclusion is an observed outcome.
Explore the Google AI Overviews plan →SearchGoogle AI Mode AI visibility
Cover the decision sequence without duplicating every wording.
Explore the Google AI Mode plan →Bing AI visibility
A submitted URL is not the same thing as an indexed or cited URL.
Explore the Bing plan →Brave Search AI visibility
Verify Brave directly instead of borrowing another engine’s result.
Explore the Brave Search plan →Match the platform to the buyer’s task.
| Buyer task | Start exploring | Evidence to prepare |
|---|---|---|
| Discover and qualify a product | ChatGPT, Copilot, Gemini | Product scope, implementation, pricing and clear limitations. |
| Review methods and compare sources | Claude, Perplexity | Original methods, approved examples and claim-level evidence. |
| Explore questions through search | AI Overviews, AI Mode, Bing, Brave | Current canonical pages, connected decision guides and search eligibility checks. |
| Verify a current announcement | Grok | Dated releases connected to durable product evidence. |
This is an editorial starting framework, not a market-share ranking or a claim that a platform serves only one use case. Use your own buyer interviews and acquisition data to prioritize.
Connect the answer to the proof.
A cluster is useful when its pages help a reader move through a decision. The hub explains the territory; a platform guide answers the interface-specific questions; product and evidence pages substantiate the offer. Repeating the same text under ten brand names does not create that relationship.
Begin with the buyer question library. Give each important question an evidence owner and a destination. Use pricing guidance for budget decisions, the platform overview for measurement scope, and the evidence library for deeper methods.
All guides here are evergreen pages within GEO, outside the blog. Their shared purpose is practical implementation, with distinct treatment of crawler access, source verification, conversation context and reporting limits.
Keep four outcomes separate.
Mention: the answer names your business. Citation: a visible source link supports a claim. Visit: someone reaches your website. Qualified action: the visitor takes a meaningful next step. A gain in one does not automatically establish a gain in the others.
For answer observations, save the question, interface, date, context and actual sources. Keep branded tests and supplied-URL tests separate from unbranded discovery. Compare a stable set of questions over time and retain failures, absent mentions and inaccurate answers.
Use first-party reporting where available and inspect its definitions. Connect observations with analytics and business outcomes without claiming that every AI-assisted decision is attributable. The citation measurement method explains the review process in more detail.
Useful references are not purchased credibility.
Each guide links to the platform documentation that supports its factual statements. Those outbound references help readers verify the explanation. Internal links connect related decisions. Inbound backlinks from other websites are a separate outcome: earn them through useful evidence, original work and genuine editorial interest.
Arrow AI’s checklists and scenarios are implementation recommendations, not platform ranking formulas. No customer results or market-share figures are invented in this directory. Review the linked platform guidance when planning a technical change.
Find the evidence your buyers are missing.
Start with your public pages and the questions that matter to your business. Review Arrow GEO’s scope, identify the most useful improvements, and decide what to measure next.