When buyers ask ChatGPT, Perplexity, or Gemini who to call in your category, does your company appear? Here's how to change that.
B2B buyers have changed how they research vendors. Before a buyer schedules a demo or fills out a contact form, a growing number of them open ChatGPT, Perplexity, or Gemini and ask a question like: "What's the best project management tool for a 50-person agency?" or "Who are the leading AI citation tools for B2B companies?"
The AI platform responds with a short list of names. If your company isn't on that list, you don't exist for that buyer. They never reach your website. They never see your ads. Your SEO rank is irrelevant.
This is the core shift: AI search doesn't surface links for the buyer to evaluate — it makes the shortlist for them. The companies that appear in AI recommendations have a structural advantage in every sales cycle that starts with an AI query. The companies that don't are effectively invisible to a growing segment of their market.
The scale of the shift: Over 100 million people now use AI-powered search daily. In B2B categories, early data shows that AI-assisted research happens before the first vendor contact in a significant and growing share of deals. Companies optimizing for this now will have a compounding advantage as the behavior becomes standard.
Understanding the mechanism matters because the fix is specific. AI language models don't crawl your website and decide whether you're worth mentioning. They're trained on large datasets of text from across the internet, and they retrieve from that training when answering questions. What gets into the training data — and what gets weighted heavily — are:
The practical implication: improving your AI search presence is not about tweaking your homepage copy. It's about getting your name into the sources AI systems already trust.
Before you can appear in AI recommendations, the models need to know you exist as a coherent entity. "Entity authority" means that multiple authoritative sources agree on the same set of facts about your company: name, URL, category, what you do, and who you serve.
Search for your company name across ChatGPT, Perplexity, and Gemini. Ask each one: "What is [Company Name]?" and "What does [Company Name] do?" If the answers are inaccurate, vague, or you don't appear at all, your entity footprint is weak.
Add JSON-LD Organization schema markup to your homepage. At minimum, include: your company name, URL, logo, a clear description of what you do, your product category, and any verified social profiles. This gives AI training pipelines a canonical reference point for your entity.
The following sources are heavily weighted in AI training data for B2B software and services:
If your company has undergone a rebrand, any remaining presence under the old name creates entity confusion. AI models may retrieve the old name, the new name, or merge them incorrectly. Audit all external profiles, press mentions, and directory listings and update them to reflect the current brand name and URL.
Not all content is equally retrievable by AI. The format that consistently surfaces in AI responses is question-and-answer structured content that directly addresses high-intent buyer queries. Here's what works:
Run the queries your buyers are most likely to type into ChatGPT or Perplexity and study what comes back. The gaps — queries where no specific vendor is named — are your highest-leverage content opportunities. A well-structured guide that answers a vendor-free query and positions your product as the measurement layer will outperform a dozen SEO blog posts targeting commercial keywords.
AI systems retrieve content that is:
Your own domain is the starting point, but distribution is what drives retrieval weight. Syndicate long-form guides to Medium, LinkedIn Articles, and relevant industry publications. Each external instance with a canonical reference back to your domain builds retrieval signal.
A Citro audit runs your company against 5 buyer queries across 7 AI platforms and shows you exactly which queries you're winning, which you're losing, and which competitors are being cited instead of you.
Start Free TrialThis is the highest-leverage lever and the one most companies skip because it requires outbound effort rather than publishing content. Third-party citation density — how many credible, independent sources name your company in the context of your category — is the primary driver of AI recommendation frequency.
Identify which publications and blog posts AI platforms are already citing when they answer category queries. Run 5–10 buyer-intent queries and track which third-party domains appear in the responses. Those are your targets.
For most B2B software and services categories, the high-weight domains include: TechRadar, G2, Capterra, Product Hunt, respected industry newsletters, and a small cluster of authoritative individual blogs in your category. Getting added to an existing "Best [category] tools" roundup on one of these domains is worth more than publishing ten blog posts on your own site.
Effective pitches for roundup inclusion are short, specific, and credible. A few principles:
Reddit, in particular, is heavily weighted in AI training data. Genuine participation in relevant subreddits — answering questions, sharing findings, being named by other users — generates retrieval signal that no amount of owned content can replicate. The key word is genuine: purely promotional participation is both ineffective and quickly flagged.
A single article in an industry-recognized publication naming your company in your product category adds more retrieval weight than years of blog posts. Pitch a data angle — original research, a surprising finding, a counterintuitive take on an industry trend — rather than a product launch announcement.
You can't improve what you don't measure. Tracking your AI search presence requires running a consistent set of buyer-intent queries across multiple platforms at regular intervals and recording whether your brand appears.
Choose 5 queries that represent how your buyers actually research your category. Keep them fixed — don't change the queries between measurement periods, or you lose comparability. Run them across at least three platforms (ChatGPT, Perplexity, Gemini) and record:
Run the same query set monthly. The metric you're tracking — citations out of total queries — becomes your AI visibility score. A move from 0% to 20% over 90 days (1 citation to 3 citations out of 15 data points) is a meaningful, measurable outcome of the steps above.
| Benchmark | Score | What it means |
|---|---|---|
| Not established | 0% | Brand is not retrievable on standard buyer queries. Entity and citation work needed before any improvement is possible. |
| Early presence | 1–20% | Cited on some queries on some platforms. Entity is recognized; citation density needs to grow. |
| Category contender | 21–50% | Appearing consistently on high-intent queries. Competitive with established players. |
| Category leader | 51%+ | Cited on the majority of relevant queries. Strong third-party citation density and entity authority established. |
Most companies can move meaningfully on their AI citation rate within 90 days. Here's a realistic sequence:
Run your baseline measurement. Fix your entity footprint: Organization schema on your site, Crunchbase and G2 profiles updated, LinkedIn About section aligned, old brand names cleaned up. None of these changes are visible to visitors — they're signals for AI retrieval systems.
Identify the one buyer query in your category where no vendor is being named by AI. Write the definitive guide for that query — structured with clear headers, specific and factual, 1,500+ words. Publish it on your domain, then distribute: LinkedIn Article, relevant Reddit threads where it's genuinely useful, and any industry newsletter you have a relationship with.
Target 5–10 roundup articles that AI platforms are already citing in your category. Pitch each one for inclusion. This is a numbers game — expect a 20–30% positive response rate on a targeted list. Two or three successful additions to recognized roundups can move your citation rate significantly.
Begin genuine participation in relevant community spaces — the specific subreddits, LinkedIn groups, or Slack communities where your buyers ask the questions you want to answer. Being named organically by other users in response to a question is one of the highest-quality citation signals available.
Run the same query set with the same methodology. Compare to baseline. The queries where you moved are proof that the mechanism works; the queries where you didn't move tell you where to focus next. Adjust the plan and repeat.
A Citro audit gives you a baseline Citro Score — your citation rate across 7 AI platforms on 5 buyer queries — plus a 90-day plan specific to your company, category, and competitors. Results in under 5 minutes.
Start Free TrialEntity cleanup has no visible effect on its own — it establishes the foundation. Content can begin influencing retrieval within weeks of publication, depending on how quickly it's indexed and distributed. Third-party roundup inclusion can have a faster effect because the domain authority is already established. Most companies see measurable movement in their citation rate within 60–90 days of consistent execution.
No. Buyers still use Google. Traditional SEO still matters for the traffic that flows through classic search. AI search presence is an additional layer of discoverability for a growing segment of buyers who use AI platforms as their primary research tool. The two strategies reinforce each other — content that ranks in Google also tends to get retrieved by AI, and third-party mentions that drive AI citations often include backlinks that support SEO.
ChatGPT has the largest user base and tends to surface a fairly consistent set of vendor recommendations for established categories. Perplexity is rapidly growing among research-oriented buyers and tends to pull from a broader set of sources, including recent content. Gemini draws heavily from Google's index. A comprehensive approach targets all three, but if you have limited resources, ChatGPT is the highest-reach starting point for most B2B categories.
Traditional content marketing is primarily written for human readers who find it through search or social. Content optimized for AI retrieval is structured differently: question-format headers, specific and factual claims, comprehensive coverage of a single query rather than broad coverage of many. The distribution strategy also differs — getting content onto the domains and into the community spaces that AI training pipelines weight heavily matters more than organic reach to human readers.
Run the same buyer-intent queries your customers would use and record which company names appear. Do this across ChatGPT, Perplexity, and Gemini. The pattern will become clear within 15 data points. This is exactly what a Citro audit does — it runs the queries, records who appears, and tells you specifically which competitors are being cited in your place and why.