Services · GEO

AI Search Optimization (GEO).

ChatGPT, Perplexity, and Google AI Overviews now answer millions of local business queries every day. Beverly Hills Growth optimizes your site and off-site presence so your business is the one they cite.

By Vladan Mijatovic Updated May 30, 2026 ~13 min read

The short version

Generative Engine Optimization (GEO) is the practice of making your business appear in AI-generated answers, not just in ranked blue links. To get cited by ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot, you need six things to be in place: explicit AI bot permissions in your robots.txt, a working llms.txt file, Article and FAQPage schema markup, passage-level content that reads clearly in isolation, Bing index presence (which feeds two of the five major AI engines), and consistent off-site brand mentions on Yelp, BBB, and review platforms that AI engines index directly. We deliver all six in a single engagement, starting with a free 48-hour audit.

30%
of Google commercial SERPs show AI Overviews, per BrightEdge 2025 data
100M+
ChatGPT weekly active users with web browsing enabled (Q4 2024)
15M
Perplexity monthly active users as of mid-2025, up 50% from January

What GEO is, and how it differs from traditional SEO

Traditional SEO optimizes for ranked lists. Google returns 10 blue links, each competing for a position on the page. The work is about earning a slot in that list, measured by a position number from 1 to 10 (or beyond). Click-through rates drop sharply from position 1 to position 10: position 1 captures roughly 27.6% of all clicks, position 2 captures 15.8%, and by position 5 that figure is 6.3%, according to the 2022 FirstPage Sage study that remains the most widely cited benchmark for organic CTR.

GEO works on a different model. AI engines do not return a ranked list. They synthesize a single answer from multiple sources and cite 3-8 of them inline. The user's experience is one coherent response, not a page of links to evaluate. Your goal is not a position number, it is inclusion in the citation set. A business that appears in position 6 on Google's organic results might appear as the first cited source in a ChatGPT answer on the same query, or not appear at all, depending on factors that traditional SEO rank does not fully predict.

The two disciplines reinforce each other rather than compete. Google AI Overviews pull exclusively from pages that already rank in Google's organic index, so traditional SEO is a prerequisite for AI Overview inclusion. But ChatGPT and Perplexity have independent retrieval pipelines that weight signals differently from Google, and optimizing for them requires additional steps that classical SEO does not address.

The AI engines that matter for Los Angeles businesses

Five engines account for the vast majority of AI-generated answers that affect local business discovery in the Los Angeles market. Each has a distinct retrieval pipeline and requires slightly different optimization emphasis.

1
Google AI Overviews

Visible to over 1 billion users since the global rollout in May 2024. Appears at the top of Google results above the blue-link list for roughly 30% of commercial queries (BrightEdge, 2025). Pulls exclusively from Google's organic index, so traditional SEO is a prerequisite. For local queries, it also integrates Google Business Profile data. Bot user agent: Googlebot (same as traditional crawl). No separate robots.txt allow rule required.

2
ChatGPT (OpenAI)

Over 100 million weekly active users with web browsing enabled by default as of Q4 2024. Grounding layer queries Bing's index in the background, fetching and chunking candidate pages into 256-512 token passages. Bot user agents: GPTBot, OAI-SearchBot, ChatGPT-User. All three must be explicitly allowed in robots.txt. Bing sitemap submission is required for ChatGPT citation on new pages.

3
Perplexity AI

15 million monthly active users as of mid-2025, with an independent crawler that does not rely on Bing or Google. Pulls heavily from Yelp, BBB, TripAdvisor, and review aggregators for local business queries, in addition to your own site. Bot user agent: PerplexityBot. Perplexity also reads llms.txt directly, making it one of the higher-value files to have in place for Perplexity citation.

4
Bing Copilot (Microsoft)

Integrated directly into Bing's search results and available as a standalone assistant. Uses Bing's own index, the same one that feeds ChatGPT's grounding layer. Bing's global market share is roughly 3.4% (Statcounter, 2025), but among AI-search-aware desktop users in the US, Bing Copilot usage is meaningfully higher. Optimizing for Bing index presence addresses both ChatGPT and Bing Copilot in a single action. Bot user agent: Bingbot.

5
Claude (Anthropic)

Claude.ai with web search enabled, available to Claude Pro and Claude Team users. Reads llms.txt natively and uses it to understand site structure. Bot user agent: ClaudeBot. Claude's local-search market share is lower than the other four engines today, but Anthropic's API integration into enterprise tools means Claude answers a significant share of queries in professional services categories (legal, finance, healthcare) that are relevant for Beverly Hills premium businesses.

Why Los Angeles is a high-priority GEO market

The Los Angeles metro area generates one of the highest volumes of "best X near me" queries in the US, driven by 3.9 million working adults, 84,000 restaurants, and a consumer demographic that cross-references sources before spending. When a user in West Hollywood asks ChatGPT for "best sushi restaurant near me" or a Brentwood resident asks Perplexity for "top family dentist Beverly Hills," an AI engine synthesizes an answer from whatever local data it can find. That data includes your Yelp reviews, BBB listing, Google Business Profile, and your own website content.

The density of competition in the Los Angeles market is both a challenge and an opportunity for GEO. Traditional Google SEO in 90210 and surrounding ZIP codes is brutally competitive: a Beverly Hills salon or restaurant is competing against hundreds of optimized local listings for the same queries. AI search citation, by contrast, narrows the competitive pool more aggressively. AI engines aim for source diversity, which means a specific, well-structured page from a local Beverly Hills business can appear in a ChatGPT answer alongside a Yelp overview and a local news mention, even when it would never rank on page one of Google organic results for the same query. That is a meaningful asymmetry for a small business investing in digital presence.

The demographic profile of Beverly Hills and West Los Angeles also matters. The median household income in Beverly Hills is over $100,000, and consumers in that income bracket are more likely to use AI engines as research tools rather than direct answer machines. They ask follow-up questions, read cited sources, and cross-reference multiple engines before making purchasing decisions. A business that appears consistently as a cited source across ChatGPT, Perplexity, and Google AI Overviews builds a credibility signal that a business absent from all three lacks.

The seven GEO ranking factors

  1. AI bot permissions in robots.txt.

    Each AI engine has one or more dedicated crawler user agents that must be explicitly allowed in your robots.txt to be eligible for citation. The five agents that matter for Beverly Hills businesses are GPTBot, OAI-SearchBot, ChatGPT-User, PerplexityBot, and ClaudeBot. Many sites accidentally block them by using overly restrictive rules or by relying on a platform's default robots.txt that was written before these crawlers existed. This is the fastest fix available: a 10-minute robots.txt edit that immediately makes your site eligible for AI citation. We find it blocking at least one AI crawler on roughly 40% of sites we audit.

  2. Bing index presence.

    ChatGPT and Bing Copilot both route queries through Bing's index. A page that ranks on Google but is absent from Bing's index does not exist for two of the five AI engines. Submitting your sitemap in Bing Webmaster Tools takes under 10 minutes and imports from Google Search Console with one click. Bing crawls at a slower rate than Google for most domains, so pages submitted directly via Bing Webmaster Tools URL submission typically appear in Bing's index within 48-72 hours rather than waiting for the regular crawl cycle.

  3. llms.txt at the domain root.

    llms.txt is a plain-text file, placed at yourdomain.com/llms.txt, that gives AI engines a machine-readable summary of your site: what your business does, which pages matter, and how your content should be interpreted. Perplexity and Claude read it natively. It does not affect Google rankings and has no traditional SEO value, but it is one of the strongest GEO differentiation signals available because most small businesses do not have one. A well-formatted llms.txt under 200 lines, hand-edited rather than auto-generated, is the version AI engines trust. We write and maintain it for every client.

  4. Passage-level content clarity.

    AI engines chunk pages into 256-512 token windows, typically 2-4 short paragraphs, and score each chunk independently for relevance to the user's query. A chunk that reads as a self-contained, complete unit, with a clear subject, verb, and concrete facts, scores higher than a chunk that relies on context from earlier in the page. This means traditional long-form blog writing, where paragraphs flow into each other with transitional references ("as we discussed above"), scores poorly at the chunk stage. The fix is a targeted rewrite: restructure each section to be independently understandable without reading the rest of the page. This is the most time-consuming part of GEO content work, and the most impactful.

  5. Schema markup: Article, FAQPage, and LocalBusiness.

    JSON-LD schema markup gives AI engines structured, pre-validated facts they can cite with confidence. Article or TechArticle schema signals that a page is a citable reference. FAQPage schema is particularly high-leverage: each Question-Answer pair is treated as a pre-structured passage, which means it enters the retrieval pipeline at a higher confidence level than equivalent prose. LocalBusiness schema with geo coordinates, service area, and opening hours is the correct type for the business homepage and location pages. All three should be present and valid according to the Schema.org specification. Invalid JSON-LD, such as trailing commas or mismatched types, is silently ignored by most AI engines.

  6. Factual density per passage.

    Numbers, named entities, dates, and specific claims per paragraph. The passage scorer in AI retrieval systems rewards content that contains verifiable, specific information over content that is vague or rhetorical. A paragraph that says "our clients see strong results" scores lower than one that says "clients in the restaurant category in 90210 typically see their Yelp review count double in 90 days and first appear in ChatGPT answers by day 45, based on our 2026 client cohort." Rewriting for factual density is the discipline of replacing every vague claim with a specific one, using real numbers from your own experience where possible and properly attributed external data where not.

  7. Off-site brand mention frequency.

    How often your business name appears on Yelp, BBB, Reddit, Google Business Profile, news outlets, and review aggregators, even without a backlink to your site. AI engines treat frequently-mentioned entities as more credible because co-occurrence with known facts is a signal the model learned during training. A Beverly Hills dental practice mentioned in 150 Yelp reviews, a verified BBB listing, and a handful of local news mentions is a more familiar entity to an AI engine than one with a blank Yelp profile and no third-party mentions. This is the slowest-building GEO signal and the hardest to accelerate, but it compounds over time and cannot be replicated by competitors who do not invest in it.

What a GEO engagement with Beverly Hills Growth looks like

We start every engagement with the free 48-hour audit. The audit identifies which of the seven GEO factors are absent or misconfigured, measures your current citation share across ChatGPT and Perplexity on your top 10 queries, and produces a written report with the gaps ranked by estimated citation-share impact. There is no sales call required to get it.

Month 1: Technical GEO foundations

The first month is entirely infrastructure work. We audit and correct your robots.txt bot permissions, write or rewrite your llms.txt, add Article, FAQPage, and LocalBusiness schema to your key pages, and submit your sitemap to Bing Webmaster Tools. We also run the initial citation-share baseline: we manually query your top 20 commercial terms across ChatGPT, Perplexity, and Google AI Overviews and record which sources are currently being cited. This baseline is the starting point for measuring progress. For most clients, month 1 includes a jump in Bing-indexed pages as the sitemap submission takes effect, and the first appearance in Perplexity citations as llms.txt is picked up by PerplexityBot.

Months 2 and 3: Content optimization

Once the technical foundations are in place, we work through the content layer. We select the 5-8 pages on your site that are most relevant to your commercial queries, rewrite each section for passage-level clarity, add FAQPage schema to every page that has a question-and-answer section, and increase factual density throughout. This work requires knowing your business specifically, because the facts that belong in a Beverly Hills cosmetic dentist's passage are different from those in a restaurant's or a real estate attorney's. We draft the rewrites and review them with you before publishing. Most clients see their first ChatGPT citations on their core queries during this phase, typically in weeks 6-10.

Months 4 through 6: Off-site GEO

The third phase focuses on the off-site signals that AI engines index independently of your website. We audit your Yelp profile, BBB listing, Apple Maps Business Connect, and any industry-specific directories relevant to your category (Healthgrades for medical, Avvo for legal, TripAdvisor for restaurants), and fix any gaps in completeness or accuracy. We also assist with a structured outreach plan for building review velocity on Yelp and Google, because Perplexity specifically pulls Yelp review count and rating as a prominence signal when answering "best X in Beverly Hills" queries. By month 6, clients typically show citation share across all five engines on their top 5 queries, with consistent citation on the top 3.

Pricing

GEO work is included in all four Beverly Hills Growth packages. The Quick-Start Sprint covers the technical GEO foundations in a one-time engagement. Monthly Growth adds ongoing citation monitoring and content optimization. All include the free 48-hour audit as the starting point. No long-term contracts on any monthly tier.

$249 one-time

Quick-Start Sprint

Fixed-scope GEO foundations, done once. Best for businesses that want the technical layer in place and will handle ongoing content work themselves. 90-day money-back guarantee.

  • robots.txt AI bot permissions for all 5 crawlers
  • llms.txt written and published
  • Article + FAQPage + LocalBusiness schema added
  • Bing sitemap submission and index check
  • Baseline citation-share report (top 10 queries, 3 engines)
$599 /month

Growth + AI

Monthly Growth plus an AI chatbot on your website that answers customer questions 24/7, captures leads, and is itself GEO-optimized so its conversation data reinforces your brand entity.

  • Everything in Monthly Growth
  • AI website assistant installation
  • Custom knowledge base from your services
  • Lead capture and email notification
$999 /month

Growth + AI + UGC

Full stack: local SEO, GEO, AI chatbot, plus 8 AI-generated UGC video ads per month for paid social. Client funds ad spend directly on Facebook, Instagram, or TikTok.

  • Everything in Growth + AI
  • 8 UGC video ads per month
  • Ad refresh strategy monthly
  • Platform selection guidance

Annual prepay on Monthly Growth: $3,990 one-time, which is 10 months at the standard rate with 2 months free, an effective 17% discount.

What we do not do

We do not use prompt-injection techniques. Hidden text in HTML designed to instruct AI models to cite a specific site was briefly experimented with in 2024-2025 and is now detectable and penalized at the retrieval layer by all five major AI engines. Any agency promising to "prompt-hack" your way into AI citations is describing a technique that decays within one model update cycle and actively damages your domain's trustworthiness signal in the process.

We do not generate synthetic review content, fabricate off-site mentions, or create fake social media presence to manufacture brand mention frequency. These tactics inflate short-term metrics and produce the wrong kind of entity signal. AI engines trained on web data learn the difference between authentic review patterns and artificial ones. The brand mention frequency we build is from genuine customers, real directory listings, and earned press mentions.

We do not produce mass-generated content pages. A site with 200 thin AI-written pages performs worse in GEO than one with 20 well-structured, factually dense pages, because each page competes as a citation source and thin content consistently loses at the passage-scoring stage. Quality over volume is not a philosophy here, it is a technical requirement.

We do not work with businesses that have active litigation, regulatory actions, or problematic reputation patterns. Every prospect goes through a reputation pass before we engage. Beverly Hills Growth is positioned for premium BH/LA clientele, lawyers, doctors, dentists, luxury retail, who cross-reference vendors before hiring. We protect that positioning by being selective about who we work with.

Frequently asked questions

What is GEO and how is it different from traditional SEO?

GEO stands for Generative Engine Optimization. Traditional SEO optimizes for ranked lists in Google's blue-link results, where 10 URLs compete for position on a page. GEO optimizes for citation in AI-generated answers, where a model synthesizes a single response and cites 3-8 sources inline. The task is categorically different: instead of earning a ranked position, you earn inclusion in a citation set. The ranking signals overlap significantly with traditional SEO, but GEO adds factors that matter less in classical ranking: passage-level clarity, llms.txt, explicit bot permissions in robots.txt, and off-site brand mention frequency across platforms like Reddit and Yelp that AI engines consult directly.

Which AI engines are most important for a Beverly Hills or Los Angeles business?

For local businesses in Beverly Hills and Los Angeles, the three highest-priority engines are: Google AI Overviews (visible to over 1 billion users since the global rollout in May 2024, appearing at the top of Google results for roughly 30% of commercial queries according to BrightEdge 2025 data), ChatGPT (over 100 million weekly active users as of Q4 2024, per Sam Altman's December 2024 post, with web browsing enabled by default for most accounts), and Perplexity AI (15 million monthly active users as of mid-2025, with a dedicated PerplexityBot crawler that pulls heavily from Yelp and BBB for local business queries). Bing Copilot is a fourth engine worth optimizing for because it shares Bing's index with ChatGPT's grounding layer.

How long does it take to start appearing in AI search results?

Most clients start seeing their first citations in ChatGPT and Perplexity within 30-60 days of completing the technical GEO foundations: bot permissions in robots.txt, llms.txt at the domain root, Article and FAQPage schema, and Bing sitemap submission. Google AI Overviews take longer because they require first ranking in Google's organic index, which typically takes 60-120 days for a new or under-optimized page. The full citation-share build, where you appear consistently across multiple AI engines for your top 5-10 queries, takes 90-180 days depending on category competitiveness.

Can a small local business compete for AI citations against large national chains?

Yes, and in several important ways local businesses have a structural advantage for locally-scoped queries. When a user asks ChatGPT or Perplexity for "best sushi restaurant in Beverly Hills" or "top dentist near Rodeo Drive," AI engines pull from local data sources first: Google Business Profile data via Bing, Yelp reviews, and BBB listings. A local business with 120 genuine Yelp reviews, a complete GBP profile, and a well-structured website can appear in AI-engine answers over a large national chain that has weak local signals in the 90210 area. The citation pool for local-intent queries is narrower than for general commercial queries, which means the effective competition is your immediate geographic and category peers, not every business in the US.

Does GEO replace traditional SEO?

No, and the two reinforce each other. Traditional SEO (Google organic rankings, Google Business Profile, local citation consistency) remains the foundation because Google AI Overviews pull exclusively from pages that already rank in Google's organic index. A page that ranks on page two of Google is not eligible for Google AI Overview citation. The GEO layer adds what classical SEO does not: explicit bot permissions for AI crawlers, llms.txt, passage-level content rewrites, and off-site presence on AI-indexed sources like Reddit and Yelp. Beverly Hills Growth treats GEO as a layer that sits on top of local SEO, not a replacement for it. The Quick-Start Sprint addresses both in a single fixed-scope engagement.

How do you measure GEO results without an AI Search Console equivalent?

OpenAI, Anthropic, and Perplexity do not publish citation analytics tools comparable to Google Search Console. We measure GEO results through manual citation sampling: we pick the client's top 20 commercial queries, ask each one in ChatGPT (web-browsing mode), Perplexity, and Google AI Overviews once per week from the same accounts, and record which domains are cited. We track this in a weekly spreadsheet and report citation share (percentage of sampled queries where your domain appears as a source) monthly. Vendor tools that automate this, including Otterly.ai, Profound, and Bluefish AI, are directionally useful but not yet reliable enough to replace manual sampling. We use them as supplementary signals, not as primary KPIs.

What is llms.txt and do I need it for GEO?

llms.txt is a plain-text file at your domain root that tells AI language models which pages on your site are most relevant, what your business does, and how to interpret your content. It was first proposed by Jeremy Howard in September 2024 and has since been adopted by a growing number of AI engines as a machine-readable site summary. Claude (Anthropic), Perplexity, and several other AI systems actively read it. It is not indexed by Google and has no traditional SEO impact, but it is one of the fastest GEO wins available: a well-formatted llms.txt takes under two hours to write, costs nothing, and signals to AI engines that your site is AI-ready. We create and maintain llms.txt for every GEO client as part of the Quick-Start Sprint.

Do I need to rebuild my website for GEO?

No. GEO work on an existing site focuses on adding schema markup to existing pages, rewriting existing page sections for passage-level clarity, adding robots.txt allow rules for AI bot user agents, and creating new FAQ sections and llms.txt. Rebuilding is never required and rarely recommended. The one scenario where a rebuild makes sense is when a site is on a platform that blocks robots.txt customization or schema addition, such as certain legacy website builders. In that case, we flag the platform constraint in the audit report and recommend the minimum necessary migration, not a full redesign.

Get your free 48-hour GEO audit

We check all seven GEO factors against your domain, measure your current citation share across ChatGPT, Perplexity, and Google AI Overviews, and deliver a written report with the gaps and fixes. No sales call, no obligation.

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