Generative Engine Optimization for Startups: 20 Questions

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Here’s a number that should worry any founder. When Google shows an AI summary, users click a normal result in just 8% of visits. In the absence of one, they click on a normal result 15% of the time. That’s from a 2025 Pew Research Center study. In other words, the AI-generated answer is quickly becoming the primary focus of the entire visit. So what is generative engine optimization for startups?

In short, it’s the work of getting AI tools to name your startup in their answers. ChatGPT, Claude, and Perplexity build those answers from sources they trust. So you win by earning mentions from those sources and by making your own site easy to quote.

This guide gives you 20 test questions to run today. It also shows you how to score the answers and what to fix first. Along the way, we’ll flag which tactics have data behind them and which are guesswork.

Table of Contents

Key Takeaways

AI tools favor what others say about you. Earned media drives about 84% of AI citations.
Brand mentions matter more than links. In one study, mentions tracked AI visibility three times as closely as backlinks did.
ChatGPT, Claude, and Perplexity behave differently. So test all three, not just one.
Run the same 20 questions every month. A single assessment tells you very little.
First, please address the basics: crawler access, a clear one-line description, and consistent facts.

What Is Generative Engine Optimization for Startups?

Generative engine optimization (GEO) is the practice of shaping your content and reputation so AI tools cite or recommend you. For startups, it’s mostly about getting known by the sources AI already trusts.

The term comes from a 2024 research paper by Princeton and IIT Delhi researchers. They found that GEO methods could raise a page’s visibility in AI answers by up to 40%. Note that this paper is from 2024, so the engines have changed since. Still, it remains the main academic study on the subject.

Why does this information matter so much for small companies? This data is important because the audience is huge. ChatGPT alone passed 900 million weekly users in February 2026, according to Search Engine Land’s tracking of OpenAI figures.

Many of those users ask for tool advice. For example, they type “best invoicing app for freelancers” and get a short list of three names. If you’re not on that list, that buyer won’t even see you. There is no second page to scroll to.

Here’s what most guides miss, though. Startups face a harder version of this problem than big brands. Large companies already have years of press, reviews, and Wikipedia pages.

Meanwhile, you might have a launch post and a few tweets. That means your GEO plan should start off-site, not on your blog.

How ChatGPT, Claude, and Perplexity Pick Which Startups to Recommend

All three tools search the web, read a handful of pages, and then write an answer. However, each one picks and cites sources in its own way.

First, each has its own search crawler. OpenAI uses OAI-SearchBot, Anthropic uses Claude-SearchBot, and Perplexity uses PerplexityBot. If your robots.txt blocks these bots, they won’t be able to cite you in their live answers.

Second, they cite at different rates. A 2026 study of 602 prompts on arXiv found that Perplexity cites the most sources per prompt. ChatGPT cites fewer sources, but each cited page shapes more of the answer.

Third, they lean on different source types. Meltwater’s June 2026 report found Statista was Claude’s most-cited source. It said Claude prefers structured, data-rich sources.

Engine	Search crawler	Citation style	What this means for you
ChatGPT	OAI-SearchBot	Fewer sources, more weight each	One strong review or list can carry you.
Claude	Claude-SearchBot	Leans toward data and authority sources	Publish real numbers and clear facts.
Perplexity	PerplexityBot	Many sources per answer	Easiest to enter, hardest to dominate

Across all three, one pattern holds. A May 2026 Muck Rack report found that earned media drives 84% of AI citations. By contrast, paid content made up just 0.3%.

Our take: stop treating your blog as the main lever. Instead, treat it as the fact sheet that others quote.

The 20 Questions to Test Your Startup’s AI Visibility

These 20 questions copy how real buyers ask AI tools for help. Think of them as a starter kit for generative engine optimization for startups. Swap in your category, rivals, and region. Then run each one in ChatGPT, Claude, and Perplexity.

We’ve grouped them by stage of the buying journey. That way, a weak score tells you exactly where the gap is.

Generative engine optimization for startups: Discovery Questions (1–5)

These test whether AI knows you exist in your category.

What are the best [category] tools for startups in 2026?
What’s a useful [category] tool for a team of 10 people?
Which new [category] startups are worth watching this year?
What tool should I use to [describe the main job your product does]?
What are the best [category] options for companies in [UK / Australia / US]?

If you fail all five, AI simply doesn’t link you to your category yet. That’s normal for a young startup. The fix is to get more third-party mentions that name both you and the category in the same sentence.

A quick tip: run question 5 once for each country you sell in. AI answers for UK buyers may mention different tools than those for US buyers. So a startup that’s visible in Sydney may be missing in London.

Comparison Questions (6–10)

These test whether AI sees you as a real choice next to known brands.

[Competitor] vs [your startup]: Which is better?
What are the best alternatives to [competitor]?
Is [your startup] cheaper than [competitor]?
Which [category] tool is easiest to set up?
Which [category] tool works best with [Slack / Shopify / HubSpot]?

Question 7 is often the most valuable. People asking for alternatives are already unhappy with a rival. So if you appear here, you’ve reached a buyer at the right time.

Furthermore, look at how AI frames you in question 6. Does it describe your strengths the way you would? If not, your reviews and comparison pages may be conveying a different message than you expect.

Trust and Proof Questions (11–15)

These test what AI says when a buyer is close to deciding.

Is [your startup] legit?
What do users say about [your startup]?
Has [your startup] raised funding, and from whom?
Is [your startup] safe for handling customer data?
What are the downsides of [your startup]?

Watch question 15 closely. AI will often repeat old complaints from forums or review sites. Please ensure that any resolved issues are clearly communicated on your site and in your changelog.

Question 13 matters most for B2B buyers. Funding signals that you’ll still be around next year. So if you’ve raised money, ensure the round appears on Crunchbase and in at least one credible news story.

Brand Fact-Check Questions (16–20)

These test whether AI gets your basic facts right.

What is [your startup]?
Who founded [your startup]?
How much does [your startup] cost?
What does [your startup] integrate with?
Where is [your startup] based?

Wrong answers here are common and costly. For instance, an old price or a dropped feature can lose you a deal. Usually, the cause is mixed facts across your site, LinkedIn, and directory listings.

The quickest solution is to press a button or visit the “About” page, which contains all key facts in plain text. List your founding year, founders, location, pricing, and main integrations. Then update every profile to match it.

How to Run the Test and Score the Results

Run each question in all three engines, then score every answer on a simple 0–5 scale. Repeat the test monthly, because answers change from run to run.

Here’s a simple process that takes about two hours:

Use a clean session: Log out or use a private window so your past chats don’t sway results.
Turn on web search: Most buying questions trigger it anyway. Still, check that each tool is pulling live sources.
Run all 20 questions in each engine; that yields you 60 answers.
Score each answer with the table below.
Save the cited sources: These are the sites you need to get onto.
Repeat in 30 days with the same wording.

Result	Points
Your startup is mentioned.	1
You’re one of the top 3 picks.	2
Facts about you are correct.	1
Your site is cited.	1
Best possible per answer	5

Your top score is 300 (60 answers × 5 points). Don’t panic at a low first score, though. Instead, use it as your baseline.

The most useful output isn’t the score. It’s the list of cited sources. If the same three review sites and two blogs appear again and again, that’s your target list. Next, find out how to get listed or reviewed on each of them.

One more tip: write down the exact wording AI uses about you. If it calls you “a project tool for agencies” but you sell to e-commerce teams, your positioning hasn’t spread yet. A free template for tracking startup metrics.

What to Fix First When Your Startup Doesn’t Show Up

Start with access and facts, then spend most of your effort on earned mentions. On-page tweaks help, but they rarely work alone.

1. Review your robots.txt: Ensure OAI-SearchBot, Claude-SearchBot, and PerplexityBot are allowed. You can still block training bots like GPTBot if you prefer. However, blocking the search bots removes you from live answers.

2. Write one clear sentence about what you do: Put it at the top of your homepage. For example: “Acme is a payroll tool for remote teams in the UK.” AI tools can lift a line like this word for word. Then use that same sentence on LinkedIn, Crunchbase, and every directory.

3. Earn mentions, not just links: An Ahrefs study of 75,000 brands from 2025 is telling. Brand mentions had a 0.664 correlation with AI Overview visibility. Backlinks scored only 0.218. So pitch journalists, join podcasts, and ask happy customers for reviews.

4. Get onto the lists AI already cites: Use the sources from your test. If a “best tools for X” article keeps showing up, contact the writer. Offer a free account, data, or a customer story.

5. Add numbers and sources to your pages: The Princeton paper found that adding stats, quotes, and citations lifted visibility the most. So swap vague claims like “saves time” for real figures, such as “cut invoice time from 20 minutes to 4.”

6. Build honest comparison pages: Write “[Your startup] vs [rival]” pages that admit where the rival wins. Fair pages get quoted more than sales pitches.

Common GEO Mistakes Startups Make

The biggest mistake is treating GEO like old-school SEO. ChatGPT won’t name you for stuffing keywords and buying links.

Here are the other traps we see most often:

Checking once and giving up: AI answers shift between runs. So one bad result means little. Track the trend over three months instead.
Blocking every AI bot: Some founders block all AI crawlers to protect their content. But that also blocks search bots, so they vanish from answers.
Paying for placements: Sponsored posts feel like coverage, but AI rarely cites them. Muck Rack’s data puts paid and advertorial content at just 0.3% of citations.
Testing only ChatGPT: It’s the biggest tool, but your buyers may prefer Perplexity or Claude. Each engine needs its check.
Letting old facts linger: An outdated pricing page or an old directory profile can feed wrong answers for months. So audit your listings every quarter.
Writing only for robots: Pages packed with FAQ blocks for AI often read badly to people. Yet people are the ones who write reviews and share links. So write for your buyer first, then tidy the structure.

In our view, the founders who win at GEO aren’t the best writers. They’re the ones who get people talking. A small customer base that posts honest reviews often beats a polished blog. The most common mistakes first-time founders make.

Conclusion

AI assistants now act as the first filter for many buyers. If ChatGPT, Claude, or Perplexity leaves you off its short list, you lose that deal before it starts. The good news is that the gap is measurable.

With 20 well-chosen questions, you can see where you show up and where you don’t. You can also see which sources AI trusts in your niche. From there, the plan is simple. Let the search crawlers in. Keep your facts consistent everywhere.

Above all, earn real mentions on the sites that AI already cites. That’s what generative engine optimization for startups really comes down to: being the brand other people talk about.

Your next step: pick five of the 20 questions and run them in all three engines today. Save every cited source. That list is your outreach plan for next month.

FAQs on generative engine optimization for startups?

1. How do I get my startup recommended by ChatGPT?

Get mentioned on the sites. ChatGPT already cites sources in your category, such as review sites, “best of” lists, and industry press. Also allow OAI-SearchBot in your robots.txt. Finally, keep a clear, consistent description of your startup across your site and profiles.

2. Is GEO replacing SEO?

No. GEO builds on SEO rather than replacing it. AI tools still search the web and often pull from pages that rank well. However, GEO puts more weight on brand mentions, clear facts, and citable data than on keywords alone.

3. How long does generative engine optimization for startups take to work?

Simple fixes, like unblocking crawlers or correcting facts, can show up within weeks. Building earned mentions takes longer, often three to six months. So run your 20-question test monthly to see whether your AI visibility is actually moving.

4. Can a small startup with no press get cited by AI?

Yes, but it takes deliberate work. Start with customer reviews, niche directories, and guest posts on industry blogs. Perplexity is often the easiest engine to enter because it cites many sources per answer.

5. Which AI search tool should startups focus on first?

Start with ChatGPT because it has the largest audience. Even so, test Perplexity and Claude too, since each one picks sources differently. Your buyers may have a preference for a specific tool, so it would be helpful to inquire about which AI assistant they currently use.