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Most advice on SEO for startups was written for a world where the goal was a blue link on page one. That goal still matters, but a growing share of your buyers now get their first answer from an AI Overview, ChatGPT, or Perplexity before they ever see a list of results. If you run a small SaaS team, you do not have time for two separate strategies, so you need one plan that works for both.
What changed, and what did not
The good news first. Google’s own documentation for its AI features is blunt: there are no additional requirements to appear in AI Overviews or AI Mode, and the same foundational SEO best practices apply to AI features as to Search overall. A page has to be indexed and eligible to show in Google Search with a snippet before it can appear as a supporting link in an AI Overview (source: Google Search Central).
Google’s marketing arm says something similar in plainer words. Think with Google frames its advice for the AI Search era around optimizing for people rather than bots, with an emphasis on website quality and brand authority.
So the fundamentals did not move. What moved is the surface where your work shows up:
- A user might read an AI Overview that cites your page and never click.
- A user might ask ChatGPT for “the best tool for X” and get a list of three products, with no search results at all.
- Your rank can stay the same while your visibility inside the answer goes up or down.
That last point is the one most startup teams miss. If you only watch rankings and clicks, you are measuring half of the picture. We covered the click side in more detail in why AI Overviews are eating your clicks.
The startup SEO foundation, trimmed to what matters
Established SEO guides for startups agree on the core. Ahrefs and HubSpot both put keyword research and content and website fundamentals at the center. According to Ahrefs, startups should also get team support and build links; HubSpot’s guide adds website structure optimization and AI tools to the list.
For a 1-3 person team, here is the version I would actually run:
- Make the site crawlable and indexable. Check that your important pages return 200, are not blocked by robots.txt, appear in your sitemap, and show up in Search Console’s indexed pages. Nothing else on this list works without it.
- Build a keyword list from real questions. Sales calls, support tickets, and competitor comparison searches are better seed lists than a generic keyword tool export. Look for long-tail phrases where a buyer is close to a decision.
- Write one clear page per question. Not one mega-page that covers everything. A focused page with a direct answer near the top is easier for Google to rank and easier for an AI system to quote.
- Fix the obvious UX problems. Slow pages, broken mobile layouts, and walls of text hurt both humans and snippet eligibility.
- Earn a few relevant links and mentions. A handful of real mentions from sites your buyers read beats dozens of directory listings.
Semrush’s guide to AI Overviews lists nearly the same items: crawlability, indexability, long-tail keywords, quality content, user experience, on-page SEO, backlinks, and brand mentions. When a guide about classic startup SEO and a guide about AI Overviews produce the same checklist, that tells you where to spend your first month.
Write pages that can be quoted
Ranking gets you into the candidate pool. Being quoted inside an answer depends on whether a single paragraph of your page works on its own.
A few habits that help with both Google snippets and AI citations:
- Answer first. Put the direct answer in the first two sentences under a heading, then add detail. “Pricing starts at $19/month for 3 brands” beats three paragraphs of context before the number.
- Use specific facts. Numbers, named features, supported integrations, limits. Vague claims give an AI system nothing to cite.
- Define terms plainly. A short “X is…” sentence is the kind of passage that ends up in an answer box.
- Keep headings descriptive. A heading that reads like the question a user would type makes the section easy to match to a query.
- Build comparison pages honestly. Buyers search “your product vs competitor,” and assistants often answer those prompts with whatever comparison content exists. If you do not publish one, someone else’s version fills the gap.
None of this is exotic. It is good writing for a skimming reader, which happens to be what both Google and AI systems reward. For the Google side specifically, the step-by-step guide on how to appear in AI Overviews goes deeper.
Skip the shortcuts that do not work
Startups are a natural target for anyone selling a quick fix for AI search. Some things to be skeptical of:
| Claim you will hear | What the evidence says |
|---|---|
| ”You need an AI text file to appear in AI Overviews” | Google says no new machine-readable files or AI text files are required for AI Overviews or AI Mode |
| ”Special markup unlocks AI answers” | Google says no special markup is required for its AI features; structured data still helps Google understand pages |
| ”AI search replaced SEO” | Google says the same foundational SEO practices apply to AI features |
| ”You need a separate GEO content program” | The recommended fundamentals for AI Overviews overlap heavily with classic startup SEO checklists |
That does not mean every AI-specific tactic is useless. ChatGPT, Claude, and Perplexity are not Google, they run their own retrieval, and some of them read files or signals that Google ignores. But for Google’s AI features, the official answer is to do normal SEO well. Spend your limited hours there before you spend them on anything clever. If you want the full vocabulary, our explainer on GEO vs AEO vs SEO separates the terms.
Measure what rankings cannot show you
Here is where startup SEO does need a new habit. Search Console tells you impressions, clicks, and average position in Google. It does not tell you:
- whether ChatGPT mentions your product when someone asks for tools in your category,
- which competitors Perplexity recommends instead of you,
- whether Gemini describes your pricing correctly,
- whether your brand appears more or less often than last month.
Answers from these assistants change between runs, so one manual check in a chat window tells you very little. The practical approach is prompt tracking: pick 10-25 prompts your buyers would realistically type, run them through several assistants on a schedule, and record mentions, citations, and which competitors appear alongside you.
A starter prompt list for a small SaaS might look like this:
- “Best [category] tools for small teams”
- “[Your product] vs [main competitor]”
- “Alternatives to [market leader]”
- “How do I [job your product does]”
- “Is [your product] worth it”
Track those for a month and you will see which pages AI systems pick up and which competitors own the conversation. That feeds straight back into your content list: the prompts where you are missing tell you which page to write or rewrite next.
A 30-day plan for a small team
If you are starting from zero, this is a realistic sequence for a founder with a few hours a week:
Week 1: Fix indexation. Submit a sitemap, check robots.txt, confirm your key pages are indexed and eligible for snippets in Search Console.
Week 2: Collect 20 real buyer questions and map each to an existing page or a gap. Pick your five biggest gaps.
Week 3: Write or rewrite those five pages with answer-first sections, specific facts, and at least one honest comparison page.
Week 4: Set up recurring tracking for the same questions as prompts across AI assistants, so you have a baseline before the new pages get indexed and picked up.
After that, repeat the loop monthly: check which prompts moved, which competitors gained, and which page to improve next.
Next step
Take the 20 buyer questions from week 2 and turn them into your first tracked prompt set. AskAiRank has a free plan with 1 brand, 10 prompts, and 2 engines polled once a day, which is enough to get a baseline on your most important questions. Starter is $19/month for 25 prompts across 3 engines, and Pro at $39/month lets you track 75 prompts across up to 8 engines, including ChatGPT, Claude, Perplexity, and Gemini. Run it alongside Search Console for a month, and you will know which half of your SEO is working in AI answers and which half is not.
Frequently asked questions
Start with the cheap parts early: a crawlable site, clean indexation, and a handful of pages that answer the questions your buyers already ask. Heavy content production can wait until you know who buys and why. The foundation work takes a few days and keeps paying off, because both Google and AI answer engines depend on it.
According to Google, no. Its Search Central documentation says there are no additional requirements to appear in AI Overviews or AI Mode, and the same SEO best practices apply. What changes is how you measure the result: you need to know whether your pages get cited in the answer, not only where they rank below it.
Google says no new machine-readable files, AI text files, or special markup are required for AI Overviews or AI Mode. That does not make structured data useless, since it still helps Google understand your pages, but it is not a ticket into AI answers. Other assistants like ChatGPT or Perplexity run their own retrieval, so check each one separately.
Search Console will not tell you. You need to run the prompts your buyers type through those assistants on a schedule and record whether your brand is mentioned, cited, or skipped. Doing it by hand works for a week; after that, a tracker that samples prompts repeatedly gives you a trend you can act on.
Write down the 10-20 questions prospects ask on sales calls or in support, then check whether your site has one clear page answering each. Fill the biggest gap first. That single list becomes your keyword plan, your content backlog, and later your AI prompt tracking list.
