GEO for Startups: What to Do With No Budget and No Brand Yet

#01Why don't AI assistants know about my startup?

There are two ways an assistant can know about a brand. One is training data: what the model learned before its knowledge cutoff. The other is live retrieval: searching the web at the moment of the question and grounding the answer in what it finds (see training data vs live retrieval). If your company launched last year, it is probably thin or absent in training data, and there is nothing you can do to change that quickly.

Retrieval is where startups can compete. ChatGPT search, Perplexity, Copilot and Google's AI features all fetch web content for many questions. Google says there are no special requirements for its AI features: a page needs to be indexed and eligible to show a snippet in Search (Google). OpenAI says sites that want to appear in ChatGPT search results should allow its OAI-SearchBot crawler (OpenAI). Neither of those costs money.

Our view: the startup disadvantage is not the algorithm, it's evidence. Big brands have years of reviews, articles and comparisons about them. You have a homepage. The plan below is about creating evidence efficiently.

#02What should a startup do in the first 30 days?

1. Check crawlers can reach you

Look at robots.txt and your CDN's bot settings. Some hosting and CDN setups block AI crawlers by default or with a single toggle; Cloudflare documents a "Block AI bots" setting, for example (Cloudflare). Then check that your key pages render their main text in HTML. Many startup sites are single-page apps, and not every crawler runs JavaScript; see JavaScript rendering and AI crawlers. Submit a sitemap to Google Search Console and Bing Webmaster Tools, and consider IndexNow, a free protocol that notifies participating search engines, including Bing, when URLs change (IndexNow).

2. Write one positioning statement and repeat it

Write a single paragraph: what you are, who it's for, the category you compete in and what makes you different. Use the same wording on your homepage, About page, LinkedIn, Crunchbase-style profiles and founder bios. Our view: consistency is the cheapest entity signal there is. If your homepage says "AI note-taker", your LinkedIn says "meeting intelligence platform" and a directory says "productivity app", an assistant has three weak signals instead of one strong one. Add Organization structured data with sameAs links to your official profiles (Google).

3. Publish answer pages, not a blog calendar

Startups usually lose broad prompts like "best CRM" for a long time. They can win narrow ones, such as "CRM for two-person landscaping businesses that works offline". Write a short list of the specific questions your first customers asked before buying, then publish one clear page per question. Lead with the answer, include real details (pricing, limits, integrations, who it's not for), and keep each page focused. Google's helpful content guidance asks whether content provides original information, reporting or analysis, and whether it's written by someone who clearly knows the topic (Google). Founders usually do.

Good first pages:

• An honest pricing page, even if it says "from $X" (see why hidden pricing hurts)
• A "[your product] vs [incumbent]" page that's fair about trade-offs (see comparison pages)
• Two or three use-case pages for your best-fit customers
• Integration pages for the tools your buyers already use
• A short documentation or FAQ hub

Evidence-heavy writing helps. In the GEO paper, adding citations, quotations and statistics to content improved its visibility in generated answers by roughly 30–40% on the authors' main metric, in tests run on a research engine (arXiv).

4. Set up free measurement

Create a GA4 custom channel group that separates referrals from AI assistants (Google); see our setup guide. Turn on Bing Webmaster Tools, whose AI Performance report shows citations across Microsoft Copilot and AI summaries in Bing (Bing). And keep a spreadsheet of 15–20 prompts you check by hand every two weeks; see manual vs automated tracking.

5. Earn your first independent mentions

Aim for a few honest, relevant mentions rather than many weak ones:

• Review sites where your category is listed. Ask real customers.
• Communities where your buyers ask questions. Reddit's rules ask users to participate authentically and not spam or manipulate content (Reddit), so answer questions as a person, disclose that you're the founder, and don't drop links into every thread. See participating on Reddit without spamming.
• Founder podcasts and newsletters in your niche.
• Partner and integration pages at the tools you connect to.
• Your own data. If you can publish a small, genuine dataset, journalists and bloggers have a reason to cite you. See original research.

Don't chase Wikipedia. Its notability guideline says an organization needs significant coverage in reliable, independent sources (Wikipedia)), and a page created too early is likely to be deleted.

#03What should startups not spend money on yet?

• Enterprise AI visibility platforms before you have a stable prompt set and a reason to track daily.
• Programmatic page generation at scale. Google treats mass-produced pages made mainly to manipulate rankings as spam (Google).
• "Guaranteed AI ranking" services. No one controls what an assistant says.
• llms.txt as a priority. It's cheap to add, but evidence that it changes AI visibility is limited; see does llms.txt work?.

#04How will you know it's working?

Within a quarter you should see your brand named for at least some narrow prompts, your own pages appear as cited sources, and a trickle of AI referral sessions in GA4. Treat early numbers as directional: with 20 prompts, a change of one or two answers is noise. When you have paying customers, ask them how they found you; see self-reported attribution.

Next: Building a prompt set and what makes a brand recommendable.

#05From MentionX data: what you're starting fromOriginal data

Method. Read-only aggregate queries over MentionX scans from 22 August to 29 October 2026 (UTC): 2,217 engine runs (2,154 completed) across 18 anonymised projects and six engines.

New brands start with few mentions. In the MentionX sample, mention rates depended heavily on prompt intent:

Our view: brand-specific prompts are where a startup can be accurate quickly, because they ask about you directly. Recommendation prompts take longer, because engines need third-party sources.

Limits. A convenience sample of mostly B2B software projects, run through engine APIs, which can behave differently from the consumer apps. Perplexity, Copilot and DeepSeek figures come from a single day (26 October 2026), so treat them as a snapshot, not a trend.

#06Worked example: A fictional early-stage Ledgerline

Ledgerline is a fictional accounts-payable tool. Figures are illustrative.

Imagine Ledgerline in its first year, with no budget for GEO. The founder rewrites the homepage to say plainly what the product does, for whom and what it costs. She lists the company on two software directories, writes three guides answering questions customers ask in sales calls and asks the first ten customers for honest reviews.

She tracks 15 prompts monthly in a free spreadsheet. After three months, engines describe Ledgerline accurately when asked about it by name, though it rarely appears in recommendations yet. Everything here is illustrative.

#07What should the homepage say?

In the first two sentences: what the product does, who it's for and what makes it different. Then pricing or how to get it, the main features in plain language and proof such as early customers. Avoid jargon and slogans that don't describe anything. Our view: if a stranger can't explain your product after reading the top of your homepage, an engine probably can't either.

#08Which listings matter first?

The directories and review sites that engines cite for your category. Run a few prompts in your category, note the cited domains and create or claim accurate profiles there. Keep descriptions consistent across them.

#09How do you get the first mentions?

Ask early customers and partners if they'd write about their experience. Contribute expert answers in communities where your buyers ask questions. Offer a useful resource, such as a template or small dataset, that others want to reference. Founder interviews on niche podcasts and newsletters also help.

#10How should a startup write its first guides?

Pick questions customers ask before buying, answer each clearly and specifically and include examples from your experience. Three strong guides are better than twenty thin ones.

#11When should a startup invest more?

When you have a clear product, some customers and a baseline from your prompt set. Then a tracking tool or specialist help can speed things up.

#12How do you keep the work small but steady?

Block two hours a week for GEO: one hour to fix or write content, half an hour for listings or reviews and half an hour to check results. Consistency matters more than intensity at this stage. Note what you did each week, so you can connect changes in answers to the work behind them. Our view: a founder who does this for six months will understand AI visibility better than many teams with bigger budgets.

#13What should you avoid promising investors?

Avoid promising specific citation counts or rankings in AI answers by a date. Engines change and samples are noisy. Promise a method instead: a tracked prompt set, monthly reporting and steady work on the sources that matter. Investors generally respect a clear method.

#14Common questions

Why doesn't ChatGPT know us? Usually because few sources mention you yet, or your site doesn't explain you clearly.

Should we pay for a GEO tool? Not at first. A spreadsheet and a small prompt set are enough.

What's the fastest win? A clear homepage and accurate listings on directories engines cite.

How long until we appear in recommendations? Often months, as third-party mentions build up.