AEOBuzz
AI Visibility

Should Local Businesses Care About Perplexity and Gemini?

Perplexity and Gemini cite local businesses in 31% and 19% of relevant queries respectively. Google AI Overviews cites in 48%. ChatGPT cites in 22%. The right answer is not 'optimize for all five.' It is 'optimize for the engines your customers actually use.' Here is the engine-by-engine breakdown for local service businesses.

Marcus Reeves··10 min readAEO-optimized: schema ✓ llms.txt ✓ FAQ ✓

A plumber in Phoenix gets a call from a customer who says "I asked Perplexity and you weren't listed." The plumber does not know what Perplexity is. He has never used it. He has never thought about it. And now he is wondering whether he is missing customers.

The honest answer: he probably is, but not as many as he thinks. Perplexity cites local businesses in 31% of relevant queries. Google AI Overviews cites in 48%. ChatGPT cites in 22%. Gemini cites in 19%. Claude cites in 14%. The right question is not "should I optimize for Perplexity?" — it is "which engines do my customers use, and which cite businesses in queries I care about?"

We audited 1,200 local service businesses across all five engines to find out exactly how each one handles local recommendations, how often they cite, and which signals they weight most heavily. This post is the breakdown.

Key takeaway

Local businesses should care about all five engines, but Google AI Overviews is the highest-leverage starting point because it cites local businesses in 48% of relevant queries. Perplexity and Gemini are second-tier — worth optimizing for, but not at the expense of fundamentals that work across all engines.

The five engines at a glance

| Engine | Cites local businesses | Re-crawl cadence | Audience | Top-weighted signals | |---|---|---|---|---| | Google AI Overviews | 48% of queries | Daily | Largest (everyone using Google) | Schema, NAP, reviews | | Perplexity | 31% of queries | Every few days | Tech-forward, researchers, 25-45 | Citations, topical authority, freshness | | ChatGPT | 22% of queries | 2-4 weeks | Broad consumer adoption, 18-55 | NAP, citations, structured data | | Gemini | 19% of queries (standalone); 48% via AI Overviews | Daily via Google index | Google ecosystem users | NAP, schema, owned-site citations | | Claude | 14% of queries | Slowest (6-10 weeks) | Professionals, researchers, 30-55 | Citations, topical authority, NAP |

The numbers are from our audit of 1,200 local businesses, June 2026. Citation rates vary by industry — restaurants and home services get cited most often; B2B services get cited least.

Should you care about Perplexity?

Yes, but secondarily. Perplexity hit 100 million users in early 2026 and grew 243% year-over-year. It is the second-most-cited engine for local businesses behind Google AI Overviews. ChatGPT Search processes 250-500 million weekly queries; Perplexity processes roughly 50 million weekly. Perplexity is smaller but its audience skews tech-forward and high-intent.

Perplexity's audience matters more than its raw size. The typical user is a knowledge worker, researcher, or someone comparison-shopping. They ask specific, multi-part questions: "Compare tankless water heaters from Rinnai, Navien, and Rheem for a 3-bedroom house in Phoenix. Which has the lowest 10-year cost of ownership?" A local business rarely gets cited in that exact query, but it does get cited in adjacent queries like "who installs Rheem tankless water heaters in Phoenix."

What Perplexity weights heavily:

  • Third-party citations and reviews. Roundups, review aggregators, and trusted forums (Reddit, Quora) are primary sources. A mention in a "best plumbers in Phoenix" roundup carries significant weight.
  • Topical authority on the business's own site. Perplexity rewards depth. A business with 12 service-specific pages outranks a competitor with one generic Services page.
  • Freshness. Perplexity re-crawls every few days. New content is picked up faster than on ChatGPT or Claude.
  • Structured data, but less than Google. Perplexity reads schema but does not weight it as heavily as Google AI Overviews do.

If your customers are tech-forward, comparison shoppers, or 25-45, prioritize Perplexity after Google AI Overviews. Otherwise, focus on Google AI Overviews and ChatGPT.

Optimizing for Perplexity is 80% the same as optimizing for any other engine: schema, NAP, reviews, service pages, blog content. The 20% that is unique: earn mentions on roundup sites and review platforms Perplexity reads directly, and publish content that answers multi-part comparison questions.

Should you care about Gemini?

Yes, because Gemini is Google AI Overviews. Most local business owners do not understand this: Gemini and Google AI Overviews are powered by the same model family but surface citations differently. Google AI Overviews appear at the top of search results and cite 3 to 8 sources inline. Gemini is the standalone assistant at gemini.google.com and cites more sources across a longer exchange.

The overlap matters because the signals are shared. Yext's 2026 study found Gemini had the highest owned-website citation share among the major AI engines — when Gemini cites a business, it cites the business's own site more often than ChatGPT or Claude do. A well-built site with strong schema and NAP consistency is disproportionately rewarded on Gemini.

Practical implications:

  • Most Gemini optimization is already covered by SEO fundamentals. Schema, NAP consistency, GBP optimization, authoritative third-party mentions, and topical depth all transfer directly.
  • AI Overviews citations are Gemini citations. When a user sees a business named in a Google AI Overview, that business was selected by Gemini and would also be cited if the user asked the same question in the Gemini app.
  • Local pack overlap. Google AI Overviews increasingly show local pack results inline. If you rank in the local 3-pack, you are likely to be cited in the AI Overview for the same query. The same GBP and review signals drive both.

The standalone Gemini assistant cites local businesses in 19% of relevant queries. Google AI Overviews cite in 48%. For most local businesses, optimizing for Google AI Overviews is the same as optimizing for Gemini — same signals, same algorithm family. You do not need a separate Gemini strategy.

The exception: if your customers are Android power users or use Gemini as their default phone assistant, the standalone Gemini experience matters more. This is still a small slice of local search compared to Google AI Overviews.

Should you care about ChatGPT and Claude?

ChatGPT: yes, broadly. ChatGPT has the largest user base of any conversational AI tool. OpenAI does not publish exact local business citation numbers, but our audit found ChatGPT cites a local business in 22% of relevant local-intent queries. ChatGPT re-crawls every 2-4 weeks, slower than Perplexity or Google AI Overviews, so changes take longer to propagate. ChatGPT is also the engine most likely to be used by customers in the moment of decision ("I need a plumber today").

Claude: lower priority. Claude cites local businesses in 14% of relevant queries — the lowest of the five engines we tracked. Claude's audience skews professional and academic. For most local service businesses, Claude optimization is third-tier. Do the fundamentals (schema, NAP, reviews) and move on.

The optimization priority order for local businesses

If you have 30 hours this quarter to spend on AI visibility, here is how to allocate it:

| Priority | Engine | Time | Why | |---|---|---|---| | 1 | Google AI Overviews / Gemini | 15 hours | Largest reach, fastest re-crawl, same signals as SEO | | 2 | ChatGPT | 8 hours | Largest conversational user base, broad demographic | | 3 | Perplexity | 5 hours | Growing fast, high-intent audience, citation-rich | | 4 | Claude | 2 hours | Lowest citation rate, smallest local-business impact |

The total — 30 hours — is the same as a single weekend of focused work plus a few weekday evenings. Most local businesses can implement the core fixes in that time and see meaningful citation movement within 8 to 12 weeks.

What changes if you skip Perplexity and Gemini entirely?

Honest answer: not much. The five engines share roughly 80% of their signals. The core fixes — LocalBusiness schema, NAP consistency across 8+ directories, 10+ reviews with steady velocity, service-specific pages, Q&A blog content, and third-party mentions — work on every engine without modification.

Skipping Perplexity or Gemini does not mean your business will be invisible on those engines. It means you will not be optimized for them. In our audit, businesses that did the core fixes on Google AI Overviews got cited by Perplexity in 47% of relevant queries without any Perplexity-specific work. The spillover is significant.

What you lose by skipping Perplexity: a smaller share of voice in a high-intent, comparison-shopping audience. For most local service businesses, that loss is acceptable in 2026.

What you lose by skipping Gemini: essentially nothing, because Gemini shares its index with Google AI Overviews. Optimizing for one optimizes for the other.

The 6 fundamentals that work across all 5 engines

If you do nothing else, do these six:

  1. Add LocalBusiness schema to your homepage. JSON-LD format, full NAP, hours, services, areaServed. The single highest-impact change.
  2. Standardize NAP across 8+ directories. Google Business Profile, Yelp, Bing Places, Facebook, Apple Maps, BBB, and 2 industry directories. Use identical name, address, phone everywhere.
  3. Get to 10+ reviews with steady velocity. Ask every happy customer within 48 hours of service. Aim for 4+ reviews per month.
  4. Publish service-specific pages. One URL per core service, 600+ words, Service schema.
  5. Launch a Q&A-format blog. Question-format H2s, direct answers in the first 2 sentences, FAQPage schema.
  6. Earn 3+ third-party mentions. Local news, industry roundups, chamber of commerce, review platforms.

These six work on Google AI Overviews, ChatGPT, Perplexity, Gemini, and Claude. They are the 80% that is shared. The remaining 20% — Perplexity-specific roundup mentions, ChatGPT-specific Bing optimization — is second-order for most local businesses.

When to prioritize a specific engine

There are a few cases where one engine deserves disproportionate attention:

  • Your customers are tech professionals. Prioritize Perplexity and ChatGPT over Google AI Overviews. Tech-forward audiences default to these tools.
  • Your customers are 65+ or low-tech. Prioritize Google AI Overviews almost exclusively. Older demographics default to Google Search, where AI Overviews appear at the top.
  • You are in a regulated industry (law, medicine, finance). Prioritize ChatGPT and Claude. These engines are more conservative in their recommendations and tend to cite authoritative sources more carefully.
  • You serve a multilingual market. Prioritize Gemini and Google AI Overviews. Google's multilingual coverage is the strongest.
  • You are a B2B service. Prioritize ChatGPT and Claude. B2B queries tend to be research-oriented and benefit from these engines' longer conversation context.

For a typical local service business (plumber, electrician, HVAC, roofer, dentist, lawyer, restaurant), Google AI Overviews first, ChatGPT second, Perplexity third, Gemini fourth, Claude fifth.

The proof: this page is built to be cited by all 5 engines

This page practices what it preaches:

  • BlogPosting schema with author and date (works on all engines)
  • Question-format H2s with direct answers (matches query format on every engine)
  • Comparison table with engine-specific data (Perplexity and Claude reward structured comparison content)
  • Original statistics with sources (cited 22% more often per CXL data)
  • FAQPage schema at the bottom (works on every engine)
  • NAP and entity references in the byline (supports Google entity graph)

An AEO audit on this page should produce a strong Visibility Score across all five engines, with the strongest performance on Google AI Overviews and Perplexity.

Frequently asked questions

The takeaway

Local businesses should care about all five engines, but they should optimize for Google AI Overviews first because it cites local businesses in 48% of relevant queries and reaches the largest audience. ChatGPT is second. Perplexity is third and worth investing in if your customers are comparison shoppers or tech-forward. Gemini is fourth — and most Gemini optimization is covered by Google AI Overviews work because they share an index. Claude is fifth.

The fundamentals — schema, NAP, reviews, service pages, blog, third-party mentions — work on every engine. Local businesses do not need separate strategies per engine. They need one strong strategy executed well.

The 30-hour quarterly allocation above covers 80% of the upside. The remaining 20% is engine-specific and worth pursuing once the fundamentals are solid. Most local businesses that start today and stay consistent for two quarters will be cited by all five engines within six months.

Frequently asked questions

Should local businesses optimize for Perplexity?

Yes, but secondarily. Perplexity cites local businesses in 31% of relevant queries and re-crawls the web every few days, so changes propagate faster than on ChatGPT or Claude. Perplexity weighs third-party citations and topical authority heavily. If your customers are researchers, tech professionals, or 25-45, prioritize Perplexity after Google AI Overviews.

Should local businesses optimize for Gemini?

Yes — Gemini powers Google AI Overviews, which cites local businesses in 48% of relevant queries. Gemini itself cites in 19% of queries when used as a standalone assistant, but the engine shares Google index signals with Google Search. Most Gemini optimization is already covered by good SEO fundamentals: structured data, NAP consistency, and authoritative third-party mentions.

Which AI engine should local businesses optimize for first?

Google AI Overviews first. It cites local businesses in 48% of local-intent queries and reaches the largest audience. The optimization is the same as for the other engines — schema, NAP consistency, reviews, service-specific pages, and third-party citations. After Google AI Overviews, prioritize ChatGPT (broad consumer adoption) or Perplexity (if your customers are tech-forward) depending on your audience.

Do I need to optimize separately for each AI engine?

No. The five engines share roughly 80% of the same signals. The core fixes — LocalBusiness schema, NAP consistency across 8+ directories, 10+ reviews with velocity, service-specific pages, Q&A blog content, and third-party mentions — work on every engine. The remaining 20% of differentiation is engine-specific, but optimizing for it is a second-order concern for most local service businesses.

Marcus Reeves

Founder, AEOBuzz

Marcus writes about how AI answer engines choose which businesses to recommend. He founded AEOBuzz after auditing 1,200 local businesses across five AI engines.

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