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AI Visibility Checklist | 90-Day Roadmap | Hashmeta AI
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AI Visibility Checklist

Ensure your brand shows up in ChatGPT, Gemini, Perplexity, and AI search.

Check how you show up in AI

LLMs already mention brands—these steps help you find out what they're saying.

Search your brand in ChatGPT, Claude, Gemini, Perplexity
Verify key facts and descriptions
Assess tone and sentiment
Look for gaps where you should be visible but aren't
Compare how your competitors are represented

Format your content so AI can use it

LLMs prefer structured, scannable content—just like search engines.

Use H1-H3 headers to organize info
Add FAQ-style answers to common questions
Start pages with short summaries
Optimize for topics (themes), not just keywords
Include original stats, tables, and data visualizations
Add clear schema markup (FAQ, HowTo, Org)

Build trust that AI can see

LLMs weigh credibility—so your brand needs strong external signals.

Earn mentions on high-authority sites
Publish original research, reports, or data
Keep consistent brand messaging across all channels
Join and contribute to Reddit, Quora, or relevant forums
Collect and display reviews from third-party sites

Follow a realistic plan

You don't have to fix everything today—use this 90-day roadmap to guide you.

0-30 Days

Audit brand presence, fix errors, and add schema

31-60 Days

Publish FAQs, research, and earn authority mentions

61-90 Days

Monitor visibility, expand presence, join conversations

Ongoing

Run monthly audits, track citations and sentiment

Track

Mentions in LLMs, sentiment, citations and referral traffic

Make your brand visible where AI looks.

Pro Tip from Hashmeta
Start with the audit. Most brands skip Step 1 and jump to content creation. But if AI is already saying wrong things about your brand, creating more content won't fix it. Audit first, correct errors, then build on a clean foundation.

Frequently Asked Questions

How do I check my brand's AI visibility?

Search your brand name and key product terms in ChatGPT, Claude, Gemini, and Perplexity. Ask questions like "What is [brand]?" and "What does [brand] do?" Note what's accurate, what's wrong, and what's missing. Compare with how competitors appear for similar queries.

What if AI is saying wrong things about my brand?

AI pulls from the web, so incorrect information usually traces to outdated or inconsistent sources. Update your website, Google Business Profile, LinkedIn, and other authoritative sources with correct information. Add schema markup to signal factual data. As AI re-indexes, corrections propagate.

Why does content structure matter for AI visibility?

AI extracts and cites structured content more easily. Headers organize information hierarchically. FAQ sections match how users prompt AI. Short summaries provide quotable snippets. Tables offer extractable data. Unstructured walls of text are harder for AI to parse and cite.

What schema markup helps most with AI visibility?

FAQ schema helps content appear in AI answers to questions. HowTo schema targets instructional queries. Organization schema establishes entity recognition. Article schema with author information builds credibility. Implement all relevant types—they signal to AI that your content is structured and authoritative.

How do high-authority mentions affect AI visibility?

AI systems weight mentions from authoritative sources. When your brand is mentioned in industry publications, Wikipedia, or established forums, AI learns to associate you with credibility. These mentions also increase the likelihood of AI citing your brand when answering relevant queries.

Why do Reddit and Quora matter for AI?

AI training data heavily includes Reddit and Quora discussions. Brands mentioned positively in these forums appear in AI responses. Active participation—answering questions, sharing expertise—creates the authentic mentions that AI surfaces. Lurking doesn't help; contribution does.

How do I measure AI visibility progress?

Track mentions in AI responses over time using manual searches or tools like Otterly. Monitor sentiment (positive/negative/neutral). Track citation frequency for key queries. Compare share of voice against competitors. Set baseline metrics before starting so you can measure improvement.

How long until AI visibility efforts show results?

Schema and structural fixes can show impact within 2-4 weeks as AI indexes update. Building authority through mentions and content takes 2-3 months. Consistent effort over 90 days typically produces measurable visibility gains. Ongoing monthly work compounds these results.

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Created by Hashmeta AI

Singapore's AI-First Digital Marketing Agency

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