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- 51% of B2B software buyers now start their research in an AI chatbot more often than in Google, up from 29% a year earlier, and 69% have switched vendors because of what an AI told them.
- AI assistants recommend products they can clearly understand and that trusted third parties talk about: review sites, Reddit, YouTube, LinkedIn and comparison content.
- The biggest wins for startups are usually a sharp one-line positioning, use-case and comparison pages, public pricing, readable docs and reviews on G2 or Capterra.
- Test 15–20 real buyer prompts every month in ChatGPT, Gemini and Perplexity, and track AI referral traffic in Google Analytics.
What is GEO for startups? The quick answer
GEO (Generative Engine Optimization) for startups is the work of making your product easy for AI assistants like ChatGPT, Gemini, Perplexity and Google AI Mode to understand, compare and recommend, so your product is named when buyers ask “what’s the best tool for…?”.
It matters because the software shortlist has moved. In G2’s 2026 survey of more than 1,000 software buyers, 51% said they start research in an AI chatbot more often than in Google, up from 29% a year earlier. 69% chose a different vendor than planned because of AI guidance, and a third bought from a vendor they hadn’t heard of before.1 A separate Semrush survey of US B2B professionals found 66% regularly use AI to research vendors, and 92% say it shapes their shortlist.2
For a startup, that is both a threat and an opening. AI answers name only a handful of products, but they are not limited to the biggest brands: a younger product with clear positioning and good third-party proof can be recommended next to incumbents.
How AI assistants decide which tools to recommend
When someone asks an assistant to recommend software, it combines what the model already knows with what it can find on the web in real time. In practice, three things decide whether your product makes the list:
- Can it understand what you do? The assistant needs to match your product to a category, an audience and a problem. Vague homepages (“the future of work, reimagined”) give it nothing to work with.
- Do trusted sources mention you? A study of 30 million AI citations found Reddit, YouTube and LinkedIn are the most-cited sources across ChatGPT, Google AI Mode, Gemini, Perplexity and AI Overviews, with G2 showing up often for B2B software questions.3
- Is the information consistent and current? Pricing, features and integrations that differ between your site, G2, LinkedIn and Crunchbase make the assistant less confident, or make it repeat outdated details.
Reviews help, but they are only one piece. G2 buyers say review-site citations are the most confidence-inspiring signal inside an AI answer,1 yet an analysis of 30,000 AI citations found review volume alone explains only a small share of AI visibility.4 Clear content, comparisons and real discussion of your product matter just as much.
The 10-point GEO checklist for startups and SaaS
| # | What to do | Why AI cares |
|---|---|---|
| 1 | One-sentence positioning on your homepage: “[Product] is a [category] for [audience] that [outcome].” | Lets the assistant place you in the right category for the right buyer |
| 2 | Use-case and industry pages, one per audience you serve | Matches the specific “best tool for [use case]” questions buyers ask |
| 3 | Honest comparison pages: “[You] vs [competitor]” and “[Competitor] alternatives” | Comparison questions are among the most common software prompts |
| 4 | A public pricing page, even if it says “from $X” | Assistants are often asked about price and skip tools they can’t describe |
| 5 | Crawlable docs and help center | Feature and integration questions are answered from documentation |
| 6 | FAQs with schema markup on key pages | Gives direct, quotable answers in a format machines read reliably |
| 7 | Organization and SoftwareApplication schema | States your name, category, pricing and platforms explicitly |
| 8 | Reviews on G2 or Capterra from real customers | Review sites are among the sources AI tools cite for software |
| 9 | Genuine presence on Reddit, YouTube and LinkedIn: demos, founder posts, helpful answers | These are the most-cited sources in AI answers |
| 10 | Let AI crawlers in and serve content as real HTML, not only through JavaScript | Some AI crawlers don’t run JavaScript, so app-style sites can look empty to them |
Start with items 1, 3, 4 and 8: they usually make the biggest difference for early-stage products.
How to test your product’s AI visibility
You don’t need special software to get started. Once a month:
- Write 15–20 prompts your buyers actually ask, such as “best [category] for [audience]”, “[competitor] alternatives”, “[you] vs [competitor]” and “is [your product] worth it?”.
- Run them in ChatGPT, Gemini, Perplexity and Google AI Mode, ideally in a logged-out or fresh session.
- Record four things for each: whether you’re mentioned, your position in the list, which sources are cited, and whether the description of your product is accurate.
- Track AI referral traffic in Google Analytics: visits from chatgpt.com, perplexity.ai, gemini.google.com and copilot.microsoft.com.
Answers vary between sessions, so look at trends across many prompts rather than any single response. The cited sources are the most useful part: they show you exactly which review sites, articles and threads you need to appear in.
Why this matters for New York startups
New York startups compete in crowded categories, from fintech and healthtech to proptech, media and B2B SaaS, where buyers increasingly ask an assistant for a shortlist before they ever visit a vendor’s site. Two things help New York companies in particular:
- Be specific about who you serve. “Scheduling software for NYC physical therapy clinics” is far easier for AI to recommend than “scheduling software for everyone”.
- Use local proof where it’s real. New York customers, case studies and press give assistants concrete reasons to mention you for New York-specific questions.
Five mistakes that keep startups out of AI answers
- Hiding pricing behind “contact sales”, so the assistant can’t answer the most common question about you.
- A JavaScript-only marketing site that crawlers see as a nearly blank page.
- No comparison content, which leaves competitors to describe you on their own pages.
- Inconsistent product descriptions across your site, G2, LinkedIn and Crunchbase.
- Fake or incentivized reviews. Review platforms remove them, and they damage the trust AI tools look for.
How WebSeoWiz Tech helps startups with GEO
WebSeoWiz Tech works with New York startups and SaaS companies from our office in White Plains, NY. We audit how ChatGPT, Gemini and Perplexity describe your product today, fix the gaps on your site, and build the comparison, use-case and FAQ content AI tools quote. Because we also build software, we can fix technical issues like JavaScript-only pages ourselves.
| Plan | Price | Best for |
|---|---|---|
| Core Fix | $249 one time | Schema, titles, speed and technical fixes so AI can read your site |
| Performance Boost | $399 one time + 30 days support | Adds three service pages, an AI FAQ section and a cost-guide article |
| Complete Polish | $699 per month | Four articles a month, lead capture and a monthly audit report |
Prices in USD. Every plan starts with a free AI visibility check.
See the details on our GEO services page. Building the product itself? We also develop SaaS and custom software and mobile apps for New York startups.
Frequently asked questions
What is GEO for startups?
GEO (Generative Engine Optimization) for startups is the work of making a product easy for AI assistants like ChatGPT, Gemini and Perplexity to understand, compare and recommend, so it is named when buyers ask which tool to use.
Do B2B software buyers really use ChatGPT to find vendors?
Yes. In G2’s 2026 survey of over 1,000 software buyers, 51% said they start research in an AI chatbot more often than in Google, and 69% chose a different vendor than planned because of AI guidance.
Can a small startup get recommended over big competitors?
It can. AI answers list only a few products, but they favor tools that are clearly described, compared and discussed by trusted sources, not only the biggest brands. Specific positioning for a clear audience helps a lot.
Do G2 or Capterra reviews help AI visibility?
They help, especially because buyers trust review-site citations inside AI answers, but review volume alone explains only a small part of AI visibility. Combine reviews with clear positioning, comparison pages and real discussion on Reddit, YouTube and LinkedIn.
How long does GEO take for a SaaS product?
Site fixes like positioning, schema and pricing can show up within weeks, while third-party proof such as reviews, comparisons and mentions builds over several months. Track progress with a fixed set of prompts each month.
How much does GEO cost for a startup?
At WebSeoWiz Tech, GEO starts at $249 one time for technical fixes, $399 with new service pages, an AI FAQ section and 30 days of support, or $699 per month for ongoing content and a monthly audit report. Every plan starts with a free AI visibility check.
Sources
- G2, The Answer Economy: half of B2B software buyers now start their research with AI chatbots (April 2026)
- Semrush, How AI tools shape the B2B buying process: a survey of 600+ US business professionals (2026)
- Search Engine Land, AI search engines cite Reddit, YouTube and LinkedIn most (Peec AI study, 2026)
- G2 Learn, Do more G2 reviews mean more AI visibility? Insights from 30k citations
