Ask Perplexity “best electrician in Austin” and it writes a short answer, names a few businesses, and links its sources. Ask ChatGPT the same thing and it does much the same. The only question that matters: is your business in that answer? In 2026, 45% of consumers ask AI tools for local recommendations, up from just 6% a year earlier (BrightLocal, 2026). And being named in that answer now matters more than ranking: when an AI Overview appears, the top organic result loses 58% of its clicks (Ahrefs, 2026). If you’re not cited, you’re invisible to a fast-growing slice of buyers. This is the tactical guide: the exact steps, in order, to become a business these tools actually name.
Key Takeaways
- In 2026, 45% of consumers ask AI for local recommendations, yet only 16% of brands track their AI visibility (BrightLocal, 2026; McKinsey, 2025).
- Getting cited comes down to four things: a readable site, a consistent identity, third-party corroboration, and quotable answer-first content.
- Targeted content tactics raised source visibility in AI answers by up to 40% in the original Princeton study (Princeton et al., 2024).
- Perplexity leans on the live, recency-weighted web with visible citations; ChatGPT search pulls from Bing’s index plus browsing, so each needs a slightly different push.
- Most Texas competitors haven’t started, so the businesses that act now win the citation cheaply.
This post is the how-to. For the why behind it all, see the GEO guide, which defines generative engine optimization and the levers in depth. Here we go straight to the checklist.
Can You Actually Influence Whether AI Cites You?
Yes, and the research is clear about it. The original Princeton, Georgia Tech, and Allen Institute study tested nine tactics across thousands of queries and found targeted content moves raised a source’s visibility in AI answers by up to 40% (Princeton et al., 2024). You can’t buy a citation, but you can earn one by being readable, verifiable, and worth repeating.
Here’s the mental model. A generative engine reads many sources, then writes one answer that may name only three or four businesses. It picks the ones it can parse cleanly, confirm independently, and quote without risk. Miss any of those and the model hedges, which means it names someone else. The steps below close each gap in the order that matters most.
What we see in our audits: Owners assume citation is random or pay-to-play. It’s neither. On nearly every audit, the businesses AI ignores have the same three holes: an unreadable site, a messy identity across the web, and content that says nothing specific enough to quote. Fix those and citations follow.
You can influence AI citations directly. A 2024 study by Princeton, Georgia Tech, and the Allen Institute for AI tested nine optimization tactics and found content moves like adding citations and statistics lifted a source’s visibility in generative answers by as much as 40% (Princeton et al., 2024).
AI search optimization services
Do This First: The 10-Minute Quick-Start Checklist
Before any deep work, run this fast check, because most owners have never seen what AI says about them. In 2026, 31% of consumers use ChatGPT and 23% use Google’s AI Mode for local picks (BrightLocal, 2026), so this is the real first impression. Ten minutes here tells you exactly where you stand.
- Search yourself in all four. Ask ChatGPT, Perplexity, Gemini, and Google’s AI Mode: “best [your service] in [your city].” Note if you appear and who shows up instead.
- Check your own name. Ask “tell me about [your business name].” See whether the answer is accurate, vague, or wrong.
- Confirm your site is readable. Open your homepage, then view it with images and styling off. If you see almost no text, AI sees almost nothing too.
- Spot-check your identity. Compare your name, address, and phone on Google, Yelp, and two directories. Any mismatch is a trust leak.
- Save a baseline. Screenshot the answers today. You’ll repeat this monthly to measure progress.
If you came up empty or saw a competitor named instead, that’s normal. The rest of this guide fixes it.
Step 1: How Do You Make Your Site Readable to AI?
Start here, because if a model can’t read your page, nothing else matters. A study of 216,524 pages found large language models leaned more on content organized with clear headings than on technical markup (SE Ranking, November 2025). Clean, crawlable, well-structured text is the price of admission to every AI answer.
The most common blocker we see isn’t a bad business. It’s a website trapped on a locked builder or agency-controlled system that renders almost nothing a crawler can read. The fix is mechanical, and it’s the same foundation that powers your Austin SEO.
Get your content out of locked builders
Move your real content onto clean, crawlable pages. Many managed platforms hide text behind scripts or images. If your headline lives inside a picture, AI can’t read it. Plain HTML text, fast loading, and a clear structure beat any clever builder effect.
Write headings that match real questions
Use headings phrased the way people ask: “How much does AC repair cost in Austin?” Then answer in the first two sentences. That answer-first pattern is exactly what engines extract, and it’s what the 216,524-page study rewarded over markup tricks.
The first step to being cited is readability. A study of 216,524 pages found large language models favored content with clear heading structure over technical markup, so plain, crawlable text answered in the first two sentences gets pulled into AI answers (SE Ranking, 2025).
Step 2: How Do You Lock Down Your Business Identity?
Next, make your identity impossible to misread, because AI hedges when sources disagree. When details conflict, models lose confidence and name a competitor instead. This is also a local ranking factor, so the work pays off twice: the average shopper now checks six platforms before choosing a business (BrightLocal, 2026).
Consistency is the whole game here. Your name, address, and phone should be byte-for-byte identical everywhere they appear. “Ste 200” in one place and “Suite 200” in another is enough to make a cautious model hesitate.
Match your name, address, and phone everywhere
Audit Google, Yelp, Facebook, and the directories AI pulls from. Pick one exact format and enforce it across all of them. Fix or remove duplicate listings that show old addresses or numbers.
Claim and complete your Google Business Profile
Fill every field: categories, hours, service area, photos, and services. A complete profile is one of the strongest signals that you’re a real, active business, and AI engines lean on it for local confirmation.
According to our own scorecard process, the businesses that get cited share three traits: a site AI can actually read, a consistent identity across the web, and reviews that back up the claim. Identity is the one owners underestimate most. It feels boring, but it’s often the single fix that flips a “no” into a citation.
Step 3: How Do You Earn the Reviews and Mentions AI Trusts?
Now build corroboration, because AI repeats what the open web agrees on. This step is decisive for local buyers: 63% of people who use AI for recommendations now trust those answers as much as traditional reviews (BrightLocal, 2026). Reviews, local press, and citations from other sites tell the model you’re real and recommended.
A single source vouching for you is weak. A dozen are strong. The goal is enough independent agreement that the engine feels safe saying your name out loud.
Build a steady flow of real reviews
Ask every satisfied customer, and make it easy with a direct link. Volume and recency both matter, so a slow trickle beats a one-time burst. Respond to reviews too; it signals an active, legitimate business.
Get mentioned on sites AI already reads
Local news, chamber pages, supplier directories, and niche industry sites all add corroboration. One quality local mention often does more for AI trust than ten generic directory listings.
Third-party corroboration drives AI citations because models repeat what the web agrees on. This matters most locally: 63% of consumers who use AI for recommendations now trust those answers as much as traditional reviews, so reviews and local mentions directly raise your odds of being named (BrightLocal, 2026).
Step 4: How Do You Write Content AI Wants to Quote?
Then give the engine something specific to pull, because a tagline can’t be cited but a clear, sourced answer can. The Princeton study found content tactics like adding statistics and citing sources outperformed technical tricks by a wide margin (Princeton et al., 2024). This is where most local sites have the biggest gap.
A homepage that says “Quality Service Since 2004” gives AI nothing to repeat. A service page that answers “How much does a panel upgrade cost in Austin?” in two plain sentences gives it a quote. Write for the question, not the slogan.
Build answer-first service pages and FAQs
For each service, lead with the direct answer, then explain. Add a real statistic with a named source where it fits, the exact pattern the Princeton study rewarded. Cover the questions customers actually ask, in their words.
Add structured data, but keep it in perspective
Schema helps machines categorize you, so add it. Just don’t expect miracles: the SE Ranking analysis found FAQ schema alone barely moved citation counts (SE Ranking, 2025). Do it once as support, then put your effort back into content and consistency.
Want this done for you? We run a free AI Visibility audit for Texas businesses, grading you across the signals that decide whether ChatGPT, Perplexity, and Google AI Overviews recommend you, plus a named competitor doing it better. Email hello@unknowndesignco.com and we’ll send yours over. AI Visibility audit
How Is Perplexity Different From ChatGPT for Getting Cited?
This is where tactics split, so it’s worth understanding the plumbing. Both tools reached massive scale fast, with ChatGPT alone passing 800 million weekly users by October 2025 (OpenAI, reported October 2025). But they source their answers differently, which changes what you should emphasize for each.
Perplexity is built around live web retrieval with visible citations, and it weights recency heavily. It runs a fresh search for most queries, then writes an answer with numbered source links you can click. ChatGPT’s search uses Microsoft Bing’s index plus live browsing, blending what the model already “knows” with current web results. So Perplexity rewards fresh, clearly attributable pages, while ChatGPT also rewards being well-established and consistent across the web it was trained and grounded on.
What we see in our audits: The same business often shows up in one tool but not the other, and owners panic. Don’t. It usually means your foundation is solid but one lever is weak. Missing from Perplexity? Your pages probably aren’t fresh or clearly sourced enough. Missing from ChatGPT? Your identity or corroboration across the broader web is thin. The tool that ignores you tells you which fix is next.
Platform-specific tips for Perplexity
Because Perplexity is recency-weighted and citation-first, freshness wins. Keep service pages updated with current dates, prices, and details. Make every claim cleanly attributable, with sources on the page, since Perplexity literally shows its citations. Pages it can quote and link are pages it favors.
Platform-specific tips for ChatGPT
Because ChatGPT search leans on Bing’s index plus browsing, get the basics right for Bing, not just Google. Confirm your site is in Bing Webmaster Tools and your Bing Places listing is complete. Then double down on consistent identity and broad corroboration, since ChatGPT blends trained knowledge with what it browses. For the local-specific version of this, see why your Austin business isn’t showing up in ChatGPT.
Perplexity and ChatGPT cite differently. Perplexity runs live, recency-weighted web searches and shows numbered citations, while ChatGPT search draws on Bing’s index plus live browsing. ChatGPT reached over 800 million weekly users by October 2025 (OpenAI, 2025), so optimizing for both surfaces matters.
How Do You Know If It’s Working?
You check on a schedule, the same way you’d check Google rankings. Almost nobody does, which is the opening: only 16% of brands systematically track their AI search performance, leaving roughly 84% flying blind (McKinsey, 2025). Your competitors aren’t watching, so a simple monthly habit puts you ahead.
Repeat the quick-start checks once a month. Ask each tool your customers’ real questions, record whether you appear and who shows up instead, and compare to last month’s screenshots. Coverage is climbing, so the habit pays off: AI Overviews appeared on roughly 15.7% of tracked keywords by November 2025, up from 6.5% in January (Semrush, 2025).
What we see in our audits: Owners measure this the wrong way at first. They watch website traffic, see it flat, and assume nothing’s working. But a citation in Perplexity that sends zero clicks can still send a phone call. Track mentions and calls, not just sessions. For a fuller comparison of the two disciplines, see GEO vs SEO.
Frequently Asked Questions
How long does it take to get cited by ChatGPT or Perplexity?
Expect 60 to 120 days for meaningful movement after the fundamentals are fixed. Perplexity can reflect fresh pages faster because it weights recency, while ChatGPT updates more gradually. Starting now is the edge, since only 16% of brands track AI visibility at all (McKinsey, 2025).
Do I need to optimize separately for Perplexity and ChatGPT?
Mostly no, but with nuance. The same foundation, readable pages, consistent identity, real reviews, serves both. Then add freshness and clear sources for Perplexity, and strong Bing presence plus broad corroboration for ChatGPT. In 2026, 31% of consumers use ChatGPT for local picks (BrightLocal, 2026), so cover the behavior, not one app.
Can I pay to get my business cited by AI?
No, there’s no pay-to-play button for citations. You earn them by being readable, consistent, and quotable. The Princeton study found content tactics like adding statistics and sources lifted visibility by up to 40%, while keyword stuffing did nothing (Princeton et al., 2024). Substance wins, not spend.
Does schema markup get me cited by Perplexity and ChatGPT?
It helps a little, but it’s not the magic switch vendors claim. A study of more than 216,000 pages found FAQ schema alone barely changed citation counts, and that LLMs cared more about clear heading structure (SE Ranking, 2025). Fix content and consistency first, then add schema as support.
Is getting cited by AI worth it for a small local business?
Yes, arguably more than for big brands. In 2026, 45% of consumers ask AI for local recommendations and 63% trust those answers as much as reviews (BrightLocal, 2026). Because most local competitors aren’t doing this yet, an early start lets you own the answer cheaply.
The Bottom Line
Getting cited by Perplexity and ChatGPT isn’t luck, and it isn’t a trick. It’s four steps in order: make your site readable, lock down your identity, earn reviews and mentions, and write answer-first content worth quoting. Then tune for each tool, freshness and clear sources for Perplexity, strong Bing presence and broad corroboration for ChatGPT, and check your progress monthly. With 45% of consumers now asking AI for local recommendations and only 16% of brands tracking it, the window is wide open. When you’re absent, the answer often defaults to Angi and lead-resale directories that sell your prospect to four competitors at once. Do this work and you win the lead directly, for a transparent flat fee instead.
Want to know exactly where you stand? Get your free AI Visibility audit. Email hello@unknowndesignco.com and we’ll show you what ChatGPT and Perplexity see, what they don’t, and the shortest path to getting cited. contact us
Sources (retrieved 2026-06-04)
- Princeton, Georgia Tech, Allen Institute for AI, “GEO: Generative Engine Optimization,” 2024, https://arxiv.org/abs/2311.09735
- BrightLocal, “Local Consumer Review Survey 2026,” https://www.brightlocal.com/research/lcrs-ai-trust/
- BrightLocal, “Local Consumer Review Survey,” 2026, https://www.brightlocal.com/research/local-consumer-review-survey/
- Ahrefs, “Update: AI Overviews Reduce Clicks by 58%,” February 2026, https://ahrefs.com/blog/ai-overviews-reduce-clicks-update/
- Semrush, “AI Overviews Study,” 2025, https://www.semrush.com/blog/semrush-ai-overviews-study/
- SE Ranking, “Ranking Factors for ChatGPT,” November 2025, https://seranking.com/blog/ranking-factors-for-chatgpt/
- McKinsey, “New front door to the internet: Winning in the age of AI search,” 2025, https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/new-front-door-to-the-internet-winning-in-the-age-of-ai-search
- OpenAI DevDay 2025 (Sam Altman keynote), “More than 800 million people use ChatGPT every week,” October 6, 2025, via TechCrunch, https://techcrunch.com/2025/10/06/sam-altman-says-chatgpt-has-hit-800m-weekly-active-users/