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    AEO vs SEO for Startups With No Domain Authority, and How to Get Cited by AI

    Written by:Pushkar SinghPushkar Singh
    Reviewed by:Rahul DaymaRahul Dayma
    Updated 14 min read
    AEO vs SEO for Startups With No Domain Authority, and How to Get Cited by AI

    Quick Answer

    AEO vs SEO is a difference in output, not in method. SEO earns a page a place in a ranked list of links, while answer engine optimization (AEO) earns a passage a citation inside an answer from ChatGPT, Perplexity or Google's AI Overviews, and Google counts both as SEO. With no domain authority, your opening is the narrow buyer questions nobody has answered properly.

    Most AEO advice assumes ChatGPT already knows your name. Earn mentions, publish authoritative content, build the brand, and the citations follow.

    If you're two people with a product and no audience, that advice describes the destination and skips the road. Your buyers are putting category questions to assistants right now, and the names in those answers become the shortlist.

    This covers where the two jobs actually differ, what Google itself says about AEO, a fifteen-minute audit, and a 30-day plan that works on a domain nobody links to yet.

    How AEO and SEO Differ When Google Calls Both SEO

    AEO and SEO differ in what they produce, not in what they require. SEO aims for a ranked link a person chooses to click, while AEO aims for a cited passage inside an answer the person reads without leaving the engine.

    Google has stopped treating them as separate disciplines. Its guide to generative AI features in Search says it directly: “From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”

    Its documentation on AI features goes further. There are no additional requirements to appear in AI Overviews or AI Mode, and no special optimizations; a page has to be indexed and eligible to show with a snippet, the same bar as ordinary Search.

    FactorSEOAEO
    What winsA ranked pageA cited passage
    Where the buyer sees youA list of linksInside the answer
    What the buyer does nextClicks through to youReads, then maybe opens the source
    What it requiresCrawlable, indexed, useful pagesThe same pages, with specifics worth quoting
    How you check itRankings and clicks in Search ConsoleAsking the engines, plus Search Console
    Where a new domain startsLong-tail queries, slowlyNarrow questions incumbents skipped

    Read the table as two outputs of one job. Without the SEO fundamentals you are not in the index the engines retrieve from, and without quotable specifics you can be indexed and still never named.

    You will also see GEO, short for generative engine optimization, used for the same work across every generative surface. Pick whichever acronym gets your team moving, because the pages you would write are identical.

    Why Zero Domain Authority Still Leaves AEO Openings

    AEO leaves openings for a new domain because answer engines break one question into many smaller ones. Google calls this query fan-out: the model issues related searches across subtopics and builds its answer from what comes back.

    Each of those sub-queries is its own small search. A head term like “CRM for startups” belongs to domains with years of links behind them, but the questions underneath it, such as how a CRM handles a two-person sales team, often have no good page at all.

    That's where a small site can be the most useful result. Google says its AI features are rooted in its core ranking and quality systems, so you are still ranking. You are just ranking for questions nobody else bothered to answer.

    The research points the same way. In the paper that named the field, GEO: Generative Engine Optimization, Pranjal Aggarwal and colleagues found that rewriting sources could lift their visibility in generative answers by up to 40 percent.

    The lower-ranked sources gained most. Adding citations raised visibility for pages ranked fifth by about 115 percent, while the top-ranked page lost roughly 30 percent on average.

    Treat that as a lab result, not a promise. The researchers measured on their own benchmark of queries, and production engines change how they retrieve all the time. What it supports is the direction: specifics and sources help the small page more than the big one.

    Run a 15-Minute AEO Audit Before Writing Anything

    The AEO audit tells you who the engines already name in your category, and why. It costs nothing, and at this stage it beats a keyword tool, because a young category's questions rarely show any volume there.

    1. Check That the Engines Can Read Your Site

    Open your robots.txt and look for rules that block the search crawlers. OpenAI's crawler documentation is blunt: sites opted out of OAI-SearchBot will not be shown in ChatGPT search answers.

    Perplexity's crawler page recommends allowing PerplexityBot for the same reason. For Google, confirm in Search Console that your key pages are indexed, and check that your CDN or host is not quietly blocking bots.

    2. Ask Three Engines the Same Three Questions

    Open ChatGPT, Perplexity and a Google search that shows an AI Overview. Put the same three questions to each, filled in for your market:

    1. What are the options for [the job your product does] for a [your ideal customer]?
    2. What is the difference between [your category] and [the alternative your buyers consider]?
    3. How do I evaluate a [your category] vendor?

    3. Record Who Gets Named and What Gets Cited

    Read the answers properly and write down three things. Together they are your citation map.

    • Who is currently the answer. Those are the companies you will be compared against, whatever you think of the comparison.
    • Which sources the engine leans on: Reddit threads, comparison pages, review sites, a handful of category blogs.
    • Which questions get a vague or hedging answer. A waffling answer is the opening, because a clear page can become the source the engine prefers.

    4. Read Your Own Pages Against the Answers

    Now read your site as the engine would. Is there one page that defines what you do in a sentence? Do you compare yourself to the alternatives in plain language, and do you publish a single number, example or outcome anyone could quote?

    Every no is a gap, and the gaps are your writing list. Run the whole audit monthly, because the answers move.

    The Page Structure AEO Rewards and the Hacks It Ignores

    AEO rewards pages a person can follow and a model can quote, and Google has published the list of tactics it ignores. Knowing both halves saves a small team weeks.

    What earns the quote is ordinary good writing made specific. Google's guide asks for non-commodity content, meaning a first-hand point of view rather than a summary of what is already published. In practice that comes down to five habits:

    • Answer the heading in the first sentence of each section, then add the nuance.
    • Use a named number, tool or step wherever you would reach for an adjective.
    • Cite the primary source for every claim, and link it.
    • Compare yourself honestly with the alternative your buyer weighs, in a table.
    • Write from something you did or saw, which no summary can copy.

    The same guide names what you can skip for Google Search: llms.txt files and other special markup, chunking content into tiny pieces, rewriting pages just for AI, chasing inauthentic mentions, and overfocusing on structured data. None of it is required, and some of it isn't safe.

    Writing a separate page for every fan-out variation of a question, mainly to manipulate rankings or AI responses, violates Google's scaled content abuse policy. What that policy covers, and the tactics that do nothing, is set out in why Google calls AI answer manipulation spam.

    Most of the job is this unglamorous structural work. It is where Better Marketing's AI SEO service starts: the pages you already have, rewritten so each one answers a real question with a source behind it.

    A 30-Day AEO Plan for a One- or Two-Person Startup

    The 30-day AEO plan trades a content calendar for one focused month. Forty scheduled posts is the wrong unit for a team of two, and three answered questions plus one honest comparison is the right one.

    Each week has one output, one way to tell it worked and one mistake that usually sinks it. For the wider publishing rhythm around it, the AEO-first content marketing playbook for startups sets out the schedule; this plan covers only the citation work.

    1. Week One: Pick Three Questions the Engines Answer Badly

    Week one is for listening, not writing. Run the audit, then write down ten questions your buyers actually ask, taken from sales calls, support tickets and the Reddit threads in your category.

    Put each question to the engines and paste in what comes back. Pick the three where the answer is vague, generic, or names nobody like you.

    A founder selling scheduling software to home-care agencies, for example, would skip “best scheduling software” and take “how do I schedule caregivers across overlapping shifts without double-booking”. You know the week worked when you have three questions, each with the current answer saved beside it. The common mistake is choosing the head term because it feels bigger.

    2. Week Two: Publish One Answer Page and One Honest Comparison

    Week two produces two pages. The first answers one of your three questions: the answer in its opening sentence, the mechanism next, the limit last, with a primary source linked for every claim and one specific drawn from your own work.

    The second compares you with the alternative your buyer really weighs, which is often a spreadsheet or the incumbent rather than a startup like yours. Put it in a table, and include the rows where you lose.

    This is the part of content marketing for tech companies most teams skip, because an honest comparison feels like arming the competitor. It is also the page the engines have least to quote from elsewhere.

    Don't aim for a word count. Google's guide says there is no ideal page length, so write until the question is answered and stop. You know it worked when Search Console's URL Inspection shows both pages indexed; the common mistake is a brochure tone that no engine would quote as a fact.

    3. Week Three: Appear Where the Engines Already Look

    Week three takes the citation map and puts you in it. Google says its AI features can show what is being said across blogs, videos and forum discussions, so the places your buyers already read are the places worth writing in.

    Write two useful, non-promotional answers in the community your buyers use. Add one founder post on LinkedIn explaining a concept from the same topic, and if you record a conversation, publish the transcript.

    The common mistake is dropping a link to your page instead of the answer itself. Google is explicit that seeking inauthentic mentions is not as helpful as it looks, and a community that spots a pitch will bury it.

    4. Week Four: Re-Run the Audit and Count Citations

    Week four repeats the audit with the same prompts in the same engines. Record, for each question, whether you are named, whether you are cited as a source, and which of your pages the engine used.

    Run each prompt more than once. Google notes that the responses and links its AI features show will vary, and you should assume the same of ChatGPT and Perplexity, so one run proves nothing in either direction.

    For Google, add the Generative AI performance report in Search Console, which Google's guide points to for measuring how content performs in its AI features. Fix whichever answer is still weak, then choose the next three questions.

    The common mistake is calling it after thirty days. The engines recrawl on their own schedule, so a quarter is the honest test: six pages that answer real questions cleanly, a founder visible where the engines read, and a written record of which questions moved.

    When Starting With AEO Is the Wrong Move

    AEO is the wrong starting point when the basics underneath it are broken. If your pages are not indexed, or your robots.txt blocks the search crawlers, a month of writing produces nothing any engine can cite, so fix the access first.

    It is also the wrong line item to buy twice. Google treats AEO as SEO, so a proposal pricing AEO as a separate discipline on top of an SEO retainer is usually charging you for the same pages.

    And it's slow. If you need customers this quarter, a B2B demand generation agency running founder-led outreach will produce conversations sooner than any page can, while the citation work compounds underneath.

    Keep the scale honest too. AI assistants still send a small share of referral traffic next to Google, which is why the AI search number vendors leave out matters before you move budget. The case for AEO is that the same page serves both channels, not that one has replaced the other.

    Answer One Buyer Question Well This Month

    AEO and SEO are one job with two outputs, and with no domain authority the citation comes first on the questions incumbents never answered. Pick three of those questions, answer them with sources and specifics, show up where the engines already read, and measure honestly. If you want the founder-presence half done with you, Better Marketing builds it on LinkedIn and Reddit, where your buyers already look.

    Frequently Asked Questions

    No, and Google says as much in its own guidance. Its AI features retrieve pages through the same ranking and quality systems as ordinary Search, so the work of being crawlable, indexed and useful still decides who appears. What changes is the output. A buyer may read an answer instead of scanning ten links, which makes the quotable specifics on a page matter more than before. AEO is best understood as SEO judged by one more outcome, not as its replacement.

    Yes, if the business sells something people research before they buy. SEO is slow, and a new domain should expect months before the long tail brings steady visits, but the pages keep working after the effort stops. For software companies the same pages now feed AI answers too, so one piece of work serves two channels. Content marketing for tech companies pays back fastest when every page answers a question a real buyer asked, rather than a keyword someone guessed at.

    Mostly, yes, if you count only money and not time. Google Search Console is free, publishing on your own site costs little, and the audit that shows who the engines cite costs nothing but fifteen minutes. The real cost is the founder time needed to write pages that answer questions properly, which is why a two-person team should pick three questions a month rather than thirty. Paid tools help later, once there is enough traffic for their data to mean something.

    They do different jobs, so the comparison depends on the timeline. Ads buy a place on the results page for as long as the budget runs, and the traffic stops the day the spending stops. SEO earns a place that keeps working after the work is done, and the same pages feed AEO. Better Marketing does not run paid ads for this reason. If you need pipeline this quarter, a B2B demand generation agency running founder-led outreach is usually the faster route.

    Some are, and the test is what they show you before you sign. A good AI SEO service starts by auditing which questions the engines answer badly in your category and which of your pages could answer them, then works on those pages. Be wary of anyone promising rankings or citations on a schedule, because no outside firm controls either. A firm that cannot explain its first ninety days in terms of specific pages is selling activity rather than results.

    About the author

    Pushkar Singh

    Pushkar Singh

    SEO & AI Search Specialist

    Pushkar S. is an AI SEO Specialist at Better, focused on visibility inside AI search. His expertise covers generative engine optimization, technical SEO and content optimization, making sure brands get found and cited when buyers ask AI tools instead of typing into Google.

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