AI assistants are changing how people find businesses. Instead of scrolling through pages of search results, users now get a single synthesized answer — and they trust it. If your business is not appearing in those answers, you are invisible to a growing share of your potential market.
This checklist gives you a structured way to assess your AI search visibility. Work through each item, identify your gaps, and prioritize fixes. The goal is not perfection — it is making sure the most impactful areas are covered so AI engines can find, understand, and cite your content.
If you want a professional assessment after working through this, our AI visibility audit delivers a detailed report with prioritized recommendations.
1. Verify your presence in Bing’s index
ChatGPT, Perplexity, and most retrieval-augmented AI systems rely on Bing to find web content. If your site is not indexed in Bing, you are invisible to the AI layer — full stop.
How to check:
- Go to Bing Webmaster Tools and verify your site.
- Check the index coverage report. Are your key pages indexed?
- Search `site:yourdomain.com` on Bing. Compare the result count to Google.
Common issues: Missing sitemap submission, robots.txt blocking Bingbot, canonical tags pointing to different URLs than Google expects, or simply never having verified the property.
Action: Submit your sitemap to Bing Webmaster Tools. Fix any crawl errors. Monitor index status monthly.
2. Audit your schema markup
Schema markup helps AI models extract structured facts from your pages. Without it, the model has to infer what your content means — and inference introduces errors.
How to check:
- Run your key pages through Google’s Rich Results Test or Schema.org validator.
- Confirm you have: Organization schema (name, URL, description), Article schema on blog posts, FAQ schema on FAQ pages, and HowTo schema on instructional content.
- Check that your schema validates without errors.
Common issues: Missing schema entirely, outdated schema that does not match page content, or schema on only some pages instead of a consistent implementation.
Action: Add Organization schema to your homepage. Add Article schema to every blog post. Add FAQ and HowTo schema wherever applicable. Validate all pages.
Our GEO optimization service includes a full schema audit and implementation plan.
3. Test your citation presence in AI assistants
You need to know whether current AI systems cite you at all, and if so, how.
How to check:
- Open ChatGPT, Perplexity, and Google AI Overviews.
- Prompt each with 10-15 queries your customers would realistically use.
- Record: Does your brand appear? How is it described? Which sources does the AI cite?
- Note which competitors are cited instead of you.
Common issues: Not appearing at all, appearing with outdated or incorrect descriptions, or appearing only for branded queries rather than topical ones.
Action: Create a citation tracking spreadsheet. Re-run this test monthly to measure progress. Prioritize the queries where competitors are cited and you are not.
4. Evaluate your content structure for AI readability
AI models prefer content that is easy to parse. Dense, long paragraphs without clear structure get skipped or summarized inaccurately.
How to check:
- Pick your top 10 pages by traffic. Read the first paragraph of each. Can you identify the main point in under 5 seconds?
- Check heading hierarchy: Does each page use H2 and H3 tags logically?
- Look for bullet lists, numbered steps, and tables. Are they present where appropriate?
- Measure readability scores (Flesch-Kincaid). AI models tend to handle clear, concise prose better than complex academic writing.
Common issues: Key information buried in the middle or end of a section, no subheadings on long pages, or paragraphs averaging more than 100 words.
Action: Rewrite key pages to lead with the answer in the first one or two sentences. Break long paragraphs into shorter ones. Add structured elements (lists, tables, headers) to help models extract facts.
5. Assess your topical authority coverage
A single page on a topic rarely generates AI citations. Models look for breadth and depth — a cluster of interlinked pages that comprehensively covers a subject area.
How to check:
- List your top 5 business-critical topics.
- For each topic, count how many pages on your site address it. Include blog posts, service pages, case studies, and FAQs.
- Map internal links between these pages. Are they well-connected?
Common issues: Only one or two pages per topic, orphan pages with no internal links, or coverage gaps where competitors have content and you do not.
Action: Build out topic clusters. For each priority topic, create a pillar page and 3-5 supporting pages targeting specific subtopics. Link them together with descriptive anchor text.
Our content strategy service designs cluster architectures tailored to AI visibility.
6. Check for original data and research assets
AI models prefer to cite primary sources. If your content only repackages information that exists elsewhere, you are interchangeable with every other source.
How to check:
- Inventory your content assets. How many include original data (surveys, benchmarks, proprietary statistics, case studies with hard numbers)?
- Search for your data points on the web. Are other sites citing your research, or are you citing theirs?
Common issues: Zero original research, or research that is outdated and no longer being cited.
Action: Commit to producing at least one original research asset per quarter. This could be a survey report, a benchmark study, or a proprietary data analysis. Original research compounds in citation value because other sources will reference it — and AI models will follow those references to you.
7. Review your external citation network
In GEO, the question is not just who links to you but who mentions you. AI models learn brand credibility from citation patterns across their training data, including mentions without hyperlinks.
How to check:
- Use a brand monitoring tool to find mentions of your brand name across the web. Include press coverage, forum discussions, social media, and podcast transcripts.
- Assess the authority of the sources mentioning you. Are they respected publications, industry associations, or unknown sites?
- Compare your mention volume and quality to two or three key competitors.
Common issues: Very few external mentions, mentions concentrated on low-authority sites, or inconsistent brand naming that makes it hard for AI models to associate mentions with your business.
Action: Invest in digital PR to earn mentions on authoritative sites. Standardize your brand name across all profiles. Engage in communities where your audience is active.
Our digital PR service builds citation networks on authoritative platforms that AI models trust.
8. Analyze your Bing and Google rankings for AI-relevant queries
AI retrieval systems use traditional search results as their starting point. If you do not rank well for the queries that trigger AI answers, you will not be surfaced for citation.
How to check:
- Identify 20-30 queries where AI assistants commonly generate synthesized answers in your industry.
- Check your rankings for those queries on both Google and Bing.
- Note any significant gaps between your Google and Bing performance.
Common issues: Solid Google rankings but poor Bing performance (or vice versa), or no rankings at all for high-value AI-relevant queries.
Action: Prioritize improving Bing rankings for your most important AI-relevant queries. Ensure your pages target the natural-language question formats that AI users ask. Add question-format keywords to your content where appropriate.
9. Evaluate your technical crawl health
Even the best content cannot be cited if AI systems cannot access it. Technical issues that block or slow crawlers hurt both SEO and GEO performance.
How to check:
- Run a crawl report (Screaming Frog, Sitebulb, or similar). Identify: broken links, excessive redirects, pages blocked by robots.txt, slow page load times, and redirect chains.
- Check Core Web Vitals scores.
- Verify that your important pages return 200 status codes and have clean, canonical URLs.
Common issues: Staging sites indexed by mistake, JavaScript-rendered content that bots cannot see, or inconsistent URL structures creating duplicate content.
Action: Fix crawl errors immediately. Ensure your most important pages are fast, accessible, and canonicalized correctly. Re-test after fixes.
10. Set up ongoing monitoring
AI visibility is not a one-and-done optimization. Models update regularly. Competitors adjust their strategies. Your citation presence will fluctuate unless you monitor it consistently.
How to check:
- Do you have a process for tracking AI citation rates over time?
- Are you monitoring referral traffic from AI platforms in your analytics?
- Is anyone on your team responsible for checking AI visibility monthly?
Common issues: No monitoring process at all, or monitoring that is limited to traditional search metrics without any AI-specific tracking.
Action: Establish a monthly AI visibility review. Track citation frequency for your top queries. Monitor referral traffic from chat.openai.com, perplexity.ai, and other AI platforms. Set up alerts for significant changes. Assign clear ownership so this does not fall through the cracks.
Putting it all together
Working through all ten items takes effort, but you do not have to tackle everything at once. Prioritize based on impact:
- Immediate (this week): Items 1, 2, and 3 — Bing index verification, schema markup, and citation presence testing. These are foundational and fast to address.
- Short-term (this month): Items 4, 5, and 8 — content structure, topical authority, and search rankings for AI-relevant queries. These require more work but drive significant improvements.
- Medium-term (this quarter): Items 6, 7, and 9 — original research, external citation networks, and technical crawl health. These are strategic investments with compounding returns.
- Ongoing: Item 10 — monitoring. Once established, this runs continuously.
If you want a professional assessment to complement your self-audit, our AI visibility audit covers all ten areas with specific, prioritized recommendations.
AI search is not replacing traditional search — it is layering on top of it. Businesses that optimize for both will capture visibility that compounds over time. Those that focus only on SEO will find their traffic slowly eroding as AI answers absorb the queries that used to drive clicks. The checklist above is your starting point. Run through it, identify your gaps, and start closing them.
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