◇ GEO Guides
How to become the answer AI engines give
Straight answers on Generative Engine Optimization — what it is, how it differs from SEO, how the models pick who to name, and how to measure and improve your brand's presence in AI answers.
Basics7
What is Salience?
Salience is a Generative Engine Optimization platform that measures how AI answer engines like ChatGPT, Perplexity, Claude, and Gemini see and recommend your brand. It runs the real questions your buyers ask across those engines, scores what comes back on six dimensions, benchmarks you against competitors, and hands you a prioritized plan to move into the answer — then re-audits to prove it worked.
Read the guideWhat is the GEO Score?
The GEO Score is Salience's composite measure of how AI answer engines see and recommend your brand across six dimensions: Visibility (30%), Prominence (15%), Recommendation (15%), Accuracy (15%), Authority (15%), and Conversion (10%). It combines these into one number you can track and benchmark against competitors.
Read the guideWhat is an AI visibility score?
An AI visibility score measures how prominently your brand appears and is recommended across AI answer engines like ChatGPT and Perplexity. It captures whether you're visible at all, how prominently you're featured, if you're actively recommended, and whether the information is accurate. A credible score shows you exactly where you stand with AI-powered search and recommendation.
Read the guideHow does the Salience methodology work?
Salience follows four phases: Measure (run your buyers' real questions across answer engines and capture where you appear), Benchmark (score the six dimensions and establish your rank), Improve (prioritize actions targeting your weakest areas), and Re-audit (verify the movement worked). Together they turn invisible answers into a measurable roadmap.
Read the guideWhat is a Generative Engine Optimization audit and how does it work?
A Generative Engine Optimization audit measures how visible your brand is across AI answer engines like ChatGPT, Perplexity, Claude, and Gemini, then pinpoints what is blocking the citations, mentions, and recommendations you should be getting. It runs your buyers' real questions, scores each answer on six dimensions, benchmarks you against competitors, and hands back a prioritized plan to fix the gaps.
Read the guideWhy is your brand invisible in AI search?
Your brand is invisible in AI search when engines cannot confidently identify, understand, or trust it. The usual root causes: a brand entity that is not clearly defined, an unclear category, content too generic to extract facts from, little third-party validation, and a site that is hard for models to interpret. The first fix is legibility — making your brand easy to identify and verify before scaling content volume.
Read the guideWhat is the future of search?
Search is shifting from ranking pages to recommending answers. Instead of typing keywords and scanning ten links, buyers ask a question and read one synthesized answer that names a few brands. That moves the prize from a click to a recommendation, and makes Generative Engine Optimization, being named and trusted in that answer, a core marketing discipline rather than an experiment.
Read the guideComparisons10
How is GEO different from SEO?
SEO optimizes for ranking on a search results page; GEO optimizes for being named and recommended in an AI answer. They measure success differently, reward different signals, and operate on different surfaces. Both drive brand visibility, but they're complementary disciplines with distinct goals and metrics.
Read the guideWhat's the difference between GEO and AEO?
AEO (Answer Engine Optimization) aims to be the sole direct answer to a question, growing from featured snippets and voice search. GEO (Generative Engine Optimization) targets generative AI engines that synthesize across sources and recommend brands. Both optimize for AI surfaces, but AEO seeks to own the answer, while GEO seeks inclusion and recommendation within synthesized responses.
Read the guideHow does GEO compare to content marketing?
Content marketing creates content to engage and convert human readers through traffic and leads. GEO uses similar content but optimizes for a different audience: AI answer engines. While good content supports both, GEO focuses specifically on citability, structured facts, and whether engines name and recommend your brand in answers, not how many people visit your site.
Read the guideWhat's the difference between entity SEO and GEO?
Entity SEO makes search engines understand exactly who you are — your brand as a distinct entity with consistent facts. GEO uses that clarity to get you cited and recommended inside AI answers. Entity SEO builds a machine-readable identity; GEO turns that identity into visibility when a buyer asks an AI engine to recommend someone.
Read the guideIs GEO better than AEO?
Neither is universally better — it depends entirely on where your buyers search. GEO wins when buyers ask ChatGPT or Perplexity for recommendations. AEO wins when they need quick voice answers or featured snippets. The real question is not which is better, but which surfaces your specific buyers actually use.
Read the guideDo I need both GEO and AEO?
Most brands benefit from optimizing for both GEO and AEO because their buyers research across multiple surfaces—voice assistants, generative AI engines, and featured snippets. However, if your audience overwhelmingly prefers one surface, you can prioritize accordingly. The key is understanding where your specific buyers start their journey.
Read the guideIs AEO still relevant in 2026?
Yes. AEO remains relevant in 2026 because featured snippets, voice assistants, and Google AI Overviews still extract and present direct answers as the primary response. The clarity and authority work AEO demands is foundational to what generative engines also reward. AEO didn't disappear when GEO emerged—it became a core part of modern answer visibility.
Read the guideWhich is more important: SEO, AEO, or GEO?
SEO, AEO, and GEO are not competitors — they are complementary layers of a single visibility stack. SEO earns ranking on search results pages, AEO captures the extracted direct answer, GEO secures recommendation within generative AI responses. Which matters most depends on where your buyers search today and tomorrow.
Read the guideCan GEO and AEO work together?
Yes. Both strategies rest on the same foundation: clear, factually structured, authoritative content. They diverge only on which levers you activate. AEO optimizes for direct extraction; GEO optimizes for synthesis across sources. A single page can serve both if you structure it deliberately.
Read the guideWhat's the future of GEO compared to AEO?
GEO and AEO are converging as AI surfaces evolve. Extractive AEO tactics—optimizing for singular answers—are increasingly embedded within synthesized, generative responses, making AEO's discipline foundational to GEO's broader visibility strategy. As buyer attention shifts toward synthesis and recommendation, GEO appears to be the primary growth vector.
Read the guideHow AI engines work34
How does ChatGPT discover and recommend brands?
ChatGPT learns about brands through training data—the text the model absorbed during development from across the web. When you ask it a question, it draws on that training knowledge and, if retrieval is enabled, current sources. The brands it recommends tend to be those stated clearly and corroborated frequently in authoritative sources the model was trained on.
Read the guideHow does Claude recommend software?
Claude recommends software by combining what it learned during training about tools, categories, and alternatives with real-time retrieval of documentation, comparisons, and sources. It weighs the clarity of positioning, the prominence of the brand in comparisons and third-party coverage, and the credibility of the sources citing it.
Read the guideHow does Gemini rank and cite sources when answering questions?
Gemini ranks sources by authority, structure, and citation patterns drawn from Google's search index. Pages that rank well in Google Search, use clear content structure, and are cited across authoritative sites tend to be surfaced and cited by Gemini. This means your brand's source authority—not just visibility—is central to being recommended in AI answers and Google's AI Overviews.
Read the guideHow do AI models choose which sources to trust?
No AI engine publishes how it ranks sources, but their answers consistently favor sources that are authoritative, corroborated across many independent places, internally consistent, clearly written, and relevant to the exact question. A brand becomes trusted less by any single mention than by being described the same way, accurately, across the sources these engines already read.
Read the guideHow does structured data (schema, entities) help GEO?
Structured data, schema markup, entity definitions, and machine-readable facts, helps AI systems reliably connect your brand to your services, people, and content, and tell you apart from similarly named companies. It doesn't manufacture trust, but it removes the guesswork that keeps an engine from confidently naming you, making your facts easy to read, match, and cite.
Read the guideHow do reviews, mentions, and third-party citations affect AI visibility?
AI engines trust a brand more when independent third parties confirm it, through reviews, industry mentions, and citations in credible sources, because corroboration outweighs self-description. What others say about you, repeated consistently across places an engine already reads, is often the difference between being named in an answer and being left out of it.
Read the guideDoes ChatGPT use GEO or AEO?
ChatGPT doesn't use GEO or AEO—those are optimization disciplines you practice. ChatGPT is primarily a generative engine that synthesizes across sources and recommends brands, making it a GEO surface. But with search grounding, it can deliver focused answers that benefit from AEO-style clarity.
Read the guideDoes Google AI Mode favor GEO or AEO?
Google AI Mode / AI Overviews blend both strategies. It inherits AEO's demand for clear, extractable answers (similar to featured snippets), but also exhibits GEO behavior by synthesizing across multiple sources and recommending several options. Optimizing for both — authoritative answers plus being one of multiple recommended sources — maximizes visibility in Google's AI surfaces.
Read the guideHow does ChatGPT decide which brands to recommend?
ChatGPT does not decide via a lookup table or algorithm—it generates the most probable response based on patterns in its training data and any live context. The same prompt can yield different brands across sessions because generation is probabilistic, not deterministic. You influence this indirectly by shaping the authoritative sources the model learned from.
Read the guideWhat factors influence which brands ChatGPT recommends?
ChatGPT's recommendations depend on both brand-level factors—your presence and corroboration in training data—and contextual factors beyond your control. How the user phrases a query, the category's competitiveness, prior conversation context, their location, and language all shape which brands surface. Your best recommendations come when your brand strength aligns with favorable user context.
Read the guideHow does ChatGPT choose which companies or brands to mention?
ChatGPT typically names three to five brands when answering questions, not from a fixed limit but because that's what makes sense given the question and corroboration patterns. In competitive categories, brands appearing across many authoritative sources tend to make the cut; lesser-known brands get crowded out. The exact number depends on whether you ask for a list or a single recommendation.
Read the guideHow does ChatGPT determine what brands appear in its answers?
ChatGPT determines which brands appear by drawing from two knowledge sources: parametric memory from training data and, optionally, live retrieval from current web pages. Training data has a knowledge cutoff; retrieval accesses fresh information. A brand may be invisible in parametric memory but surface with retrieval enabled—or not appear at all if absent from both sources.
Read the guideWhy does ChatGPT recommend some brands but not others?
ChatGPT leaves brands out for five concrete reasons: your brand lacks presence in authoritative sources it learned from, it is mentioned only once or inconsistently, your category identity is unclear, your facts have become stale, or higher-authority rivals dominate the shortlist. Diagnosing which reason applies tells you how to fix it.
Read the guideWhat makes a brand more likely to be recommended by ChatGPT?
A recommendable brand has five defining traits: a clear, unambiguous entity identity the web consistently describes the same way; mentions across multiple independent, authoritative sources, not just one; consistent facts and descriptions everywhere it appears; a name that strongly co-occurs with the problem it solves; and specific, citable content (reviews, use cases, structured facts) rather than vague claims.
Read the guideHow does ChatGPT evaluate and surface brands in its responses?
ChatGPT surfaces brands that fit the specific intent behind your question—a "budget option" query yields different brands than "premium choice" or "for beginners." But all recommended brands must pass a trust gate: ChatGPT generally won't surface a brand it cannot corroborate in clear, independent sources. Intent matching and trustworthiness together shape what appears.
Read the guideWhat signals does ChatGPT use when recommending brands?
ChatGPT looks for specific trust and authority signals when evaluating which brands to recommend: clear entity identity, corroboration through independent sources and reviews, citable structured content, strong domain authority, and knowledge-graph presence. You can meaningfully strengthen most of these signals.
Read the guideHow does Gemini discover and recommend brands?
Gemini discovers brands through three channels: live retrieval from Google's search index, entities in the Knowledge Graph, and corroboration across authoritative sources. It synthesizes these signals to form recommendations, weighing how well a brand ranks in Google, how widely it's cited by trusted sources, and how clearly its content is structured. This makes Gemini fundamentally authority-driven.
Read the guideHow does Gemini decide which brands to recommend?
Gemini retrieves and synthesizes from Google's live search index rather than using a memorized brand list. It applies ranking principles similar to Google Search—authority, structure, citation patterns—to decide which brands to surface. This makes its recommendations feel index-driven but still generative, not a published algorithm.
Read the guideWhat factors influence which brands Gemini recommends?
Gemini's brand recommendations depend on factors both within and outside your control. Controllable factors include your Google Search ranking, domain authority, content structure, and co-citations. Uncontrollable factors—how users phrase queries, how competitive your category is, and what already ranks in Google—often matter more. Your positioning depends on both sets.
Read the guideHow does Gemini choose which companies or brands to mention?
Gemini names only the brands it ranks highest by authority and citation patterns in Google Search. Category leaders and most-cited brands in top-ranked sources make the shortlist; long-tail competitors rarely appear unless they rank highly or are cited by major authoritative sources. The number of brands mentioned depends on the query type and how concentrated authority is in the category.
Read the guideHow does Gemini determine what brands appear in its answers?
Gemini retrieves brands from Google's live search index, supplemented by the Knowledge Graph and training data. Because it reads the current index rather than relying on memorized knowledge, the same query can surface different brands as Google's rankings and content change. New brands can appear quickly if they become authoritative in Google.
Read the guideWhy does Gemini recommend some brands but not others?
Gemini omits brands when they don't rank well in Google Search, lack clear structured data, aren't cited by authoritative sources, or have no Knowledge Graph entity. Since Gemini retrieves from Google's index rather than from memory, invisibility in Google Search usually means invisibility in Gemini. Diagnosing which barrier applies helps you fix it.
Read the guideWhat makes a brand more likely to be recommended by Gemini?
A recommendable brand ranks well in Google Search for category questions, uses clear structured data, is widely cited by authoritative sources, and maintains a recognized Knowledge Graph presence. Gemini favors brands that demonstrate topical authority through comprehensive, linked content. These traits signal reliability—not actions taken.
Read the guideHow does Gemini evaluate and surface brands in its responses?
Gemini evaluates a brand's fit for the specific user query using Google-style relevance signals, then surfaces the most authoritative sources that match that intent. A budget-focused query surfaces different brands than an enterprise-focused one, because the most relevant and authoritative sources differ per intent. Authority—through Google ranking, freshness, and citation patterns—acts as the gate.
Read the guideWhat signals does Gemini use when recommending brands?
Gemini considers six primary signals when recommending brands: your Google Search rank in category queries, structured data markup, backlinks from authoritative sources, E-E-A-T indicators (expertise and trust), Knowledge Graph presence, and content freshness. These are largely controllable factors grounded in Google's search authority model, making GEO for Gemini overlap significantly with SEO practices.
Read the guideHow does Claude discover and recommend brands?
Claude recommends brands by combining training knowledge with real-time web search when enabled. It weighs positioning clarity, competitive presence, source credibility, and consistency. Claude is notably cautious, omitting brands it cannot corroborate—trustworthiness is a precondition for visibility. Unlike Gemini, Claude doesn't use a proprietary search index. This guide covers brands generally; for software-specific analysis, see how Claude recommends software.
Read the guideHow does Claude decide which brands to recommend?
Claude's decisions are not algorithmic—there is no fixed ranking formula. Instead, Claude synthesizes patterns from its training with real-time retrieval and evaluates whether a brand can be supported by credible sources. Its distinctive trait: it omits brands it cannot corroborate, preferring caution to guessing.
Read the guideWhat factors influence which brands Claude recommends?
Claude's recommendations depend on both what you can control—clear positioning, credible coverage, consistent description, and competitive-set presence—and factors you cannot: how the question is phrased, the category's competitiveness, which competitive set emerges, and whether web search is enabled.
Read the guideHow does Claude choose which companies or brands to mention?
Claude names only brands that form the credible competitive set for a question—names that co-occur in sources it learned from and retrieves. Category leaders and well-corroborated brands rise to the shortlist; single-mention brands usually don't. The number mentioned varies by query type, query intent, and how clearly a brand fits the competitive frame.
Read the guideHow does Claude determine what brands appear in its answers?
Claude determines which brands appear by combining training knowledge—what it learned during pre-training with a knowledge cutoff—with real-time web search when enabled. The same question can yield different brands depending on whether search is on, and a brand must be present in both current sources and Claude's training knowledge to be reliably recommended.
Read the guideWhy does Claude recommend some brands but not others?
Claude omits brands for five specific reasons: unclear or contradictory positioning, absence from credible comparison and alternative guides, weak or one-off third-party corroboration, inconsistent or outdated information across sources, and its high trust bar—which favors omission over claims it cannot fully support. Each has a diagnostic and fix.
Read the guideWhat makes a brand more likely to be recommended by Claude?
A brand becomes recommendable to Claude when it has clear, consistent positioning; its facts are verifiable across sources; it appears in credible third-party comparisons; and its documentation is complete and citable. Claude's cautious nature means corroboration and consistency are nearly prerequisites for a mention.
Read the guideHow does Claude evaluate and surface brands in its responses?
Claude tailors brand recommendations to the specific user intent—budget versus enterprise versus use-case requirements—by interpreting the question's context and constraints. Distinctively, Claude applies a high bar of corroboration before surfacing any brand, tending to omit what it cannot support rather than guess.
Read the guideWhat signals does Claude use when recommending brands?
Claude weighs signals about a brand's positioning, presence in credible sources, and consistency across the web. These include clear positioning, appearance in comparison guides, credible third-party coverage, documentation quality, citation consistency, and entity clarity—all largely controllable, unlike query wording or category competitiveness.
Read the guideIndustries11
How does GEO work for SaaS companies?
SaaS buyers increasingly ask AI assistants like ChatGPT to find, compare, and evaluate software solutions. Salience measures whether your SaaS product appears, gets recommended, and is described accurately in those answers. It scores visibility, prominence, and positioning across buyer research queries, then delivers an action plan to move you from invisible to the preferred recommendation.
Read the guideHow do ecommerce brands get recommended in AI shopping assistants?
When shoppers ask AI assistants for product recommendations—best running shoes for flat feet, affordable stand mixers—the brands that appear and get recommended win consideration before the shopper visits a store. Ecommerce GEO surfaces your products in those answers by strengthening four signals: structured product data, review citations, roundup mentions, and consistent brand facts across the web.
Read the guideHow can healthcare organizations improve their visibility in AI answer engines?
Healthcare organizations—clinics, health systems, and health brands—compete in AI answer engines where patients and caregivers ask about conditions, treatments, and providers. Winning means being accurately represented and cited from authoritative medical sources. Salience measures how AI engines see your organization and delivers a plan to improve visibility, accuracy, and trust.
Read the guideHow do law firms become visible in AI-powered lawyer recommendations?
When people ask AI assistants for lawyers, they ask by location and practice area — 'employment lawyer in Boston' or 'best tax attorney near me.' Law firms win visibility and recommendations by ensuring their practice areas, locations, and credentials are accurately represented and verified across authoritative legal directories and sources that AI engines trust and cite.
Read the guideHow can chambers of commerce use GEO to own their local market?
Chambers of commerce can use Salience to become the recommended local business authority—showing up when people ask AI assistants for local resources and member benefits. Chambers can also offer GEO to their members, helping individual businesses get discovered in local AI answers. Salience measures how engines see the chamber, benchmarks against other organizations, and delivers a plan to move into the answer.
Read the guideHow can local businesses get recommended by AI assistants?
When someone asks an AI assistant for the best dentist, plumber, or coffee shop nearby, it names a short list of local options. Salience measures whether your business appears in those location-based answers, how accurately it is described, and whether it is recommended. It scores your local visibility across the real questions customers ask, then hands you a plan to become the nearby answer.
Read the guideHow can marketing agencies add AI visibility (GEO) services?
Marketing agencies can add Generative Engine Optimization as a new service line: measure how AI assistants see a client's brand, benchmark it against competitors, deliver a prioritized plan, then re-audit to prove movement. Salience gives agencies the Measure, Benchmark, Improve loop to productize — a repeatable audit, a defensible deliverable, and a re-audit that ties a retainer to visibility outcomes instead of traffic alone.
Read the guideHow does a founder build an AI-visible brand from day one?
A founder builds an AI-visible brand by making the company legible to answer engines before scaling content: define the category clearly, state the core facts consistently, and earn early third-party proof. Salience measures how ChatGPT, Perplexity, Claude, and Gemini currently describe a young company, shows where the entity is unclear or absent, and gives a plan to become the recommendation as the category forms.
Read the guideHow do you turn expertise into AI-discoverable thought leadership?
You turn expertise into AI-discoverable thought leadership by making it specific, evidence-backed, and consistently tied to a clear topic — so answer engines can cite you as a grounded authority rather than skip vague inspiration. Salience measures whether ChatGPT, Perplexity, Claude, and Gemini surface and attribute your ideas, benchmarks your share of AI voice on your topic, and shows which sources and signals turn a name into a citation.
Read the guideHow do hotels get recommended by AI search engines like ChatGPT?
Hotels get recommended by AI engines when a guest asks a real trip question — "quiet resort in Phuket, good for families" — and the engine names a handful of properties. You win by making your facts, location, and category clear in the sources engines cite, then measuring whether you actually appear. Salience audits how ChatGPT, Perplexity, Gemini and Chinese engines describe your hotel and delivers a plan to move you into those answers.
Read the guideHow do hotels appear in Chinese AI engines like DeepSeek, Qwen, and Kimi?
Chinese travelers increasingly plan trips through Chinese AI assistants — DeepSeek, Qwen, GLM, and Kimi — which draw on Chinese-language sources and platforms that Western engines and Western monitoring tools ignore. A hotel can be strong in ChatGPT and completely invisible in the engines its Asian guests actually use. Salience audits all four Chinese engines alongside the Western ones, so you can see the gap and close it where your source markets search.
Read the guideHow-to14
How do I optimize my brand for AI answer engines?
The GEO checklist guides you through six core steps: state your brand facts clearly and consistently across all channels, earn citations from trusted sources, structure your content to answer questions buyers ask, cover the specific questions your audience has, verify accuracy across the web, and measure your progress with ongoing audits to prove movement.
Read the guideHow do you get your brand mentioned in ChatGPT answers?
To get your brand mentioned in ChatGPT answers, make it easy to identify, trust, and connect to a buyer's question. That means clear entity signals about who you are and what you do, answer-shaped content that states facts plainly, credible third-party references, and consistent coverage of your core topics. Getting mentioned at all is the threshold — before prominence or recommendation, ChatGPT has to know you exist.
Read the guideHow do you become a recommended vendor in AI search results?
You become a recommended vendor when AI engines do not just mention you but actively favor you as the answer. That takes more than visibility: clear category positioning, concrete proof, third-party validation, and comparison content that makes you the obvious match for a buyer's need. AI recommendations behave like a trust filter, not a ranking list — the vendor with the clearest evidence and most coherent story tends to win.
Read the guideHow do you track AI citations across ChatGPT, Claude, Gemini, and Perplexity?
AI citation tracking shows when and where AI engines cite your brand, pages, or sources in their answers. You track it by running your buyers' real questions across ChatGPT, Claude, Gemini, and Perplexity on a set schedule, logging every mention, cited source, and recommendation, then watching how those citations move over time — so you can tell whether your content changes are actually landing.
Read the guideHow do you build a GEO prompt-testing framework?
A GEO prompt-testing framework is a fixed set of buyer questions you run across AI engines on a schedule, so you can compare — consistently — how each one talks about your brand and competitors. You pick 10 to 20 core prompts, run them across ChatGPT, Perplexity, Claude, and Gemini, record mentions, citations, and rival mentions, then repeat to see what changes.
Read the guideWhat goes into a GEO content brief?
A GEO content brief is a one-page spec you hand a writer before drafting. It fixes the exact buyer question the page answers, the extractable short answer, the proof and entity facts an engine needs to trust you, the internal links, and the CTA, so the finished page is structured to be cited, not just to read well.
Read the guideHow should you structure a GEO landing page?
A GEO landing page is built as a stack of blocks in a fixed order: a headline that names the offer, an answer-first summary, the proof, an objection and FAQ block, and a clear call to action. The order matters because AI engines lift the top of a well-structured page, so lead with the answer, then earn trust, then ask for the click.
Read the guideWhat are the most common GEO mistakes?
Most GEO campaigns fail for non-technical reasons: publishing generic content, leaving brand facts unclear, skipping third-party validation, chasing volume over structure, sounding too salesy, and never measuring citations. The root cause is usually weak positioning and weak evidence, not a broken tool. Fix what you say and who corroborates it, then measure, and most failures disappear.
Read the guideHow do I implement a GEO strategy?
Implement GEO by auditing where your brand currently appears in generative AI answers, identifying gaps in visibility or accuracy, creating clear and citable content that fills those gaps, building authority signals across multiple sources, and measuring performance against your audit baseline. This five-phase roadmap turns measurement into action.
Read the guideHow do I measure GEO vs. AEO performance?
AEO performance is measured by tracking featured snippet wins and direct answer ownership — a binary success metric. GEO performance is measured across multiple dimensions: presence (do you appear?), prominence (how visible?), recommendation rate (are you mentioned?), and accuracy of description across generative AI engines like ChatGPT, Perplexity, Claude, and Gemini. GEO is a distribution, not a single rank.
Read the guideHow can a brand increase its chances of being recommended by ChatGPT?
Brands increase their ChatGPT visibility by auditing their current answers, fixing entity clarity across all sources, earning independent corroboration, publishing citable facts, staying current, and measuring progress. This takes sustained effort across your owned and earned media.
Read the guideHow can a brand increase its chances of being recommended by Gemini?
Get recommended by Gemini by ranking well in Google Search for category questions, adding schema markup so Gemini can extract claims, building topical authority through citations, and establishing a clear Knowledge Graph entity. Keep content fresh and re-measure your visibility regularly.
Read the guideHow can a brand increase its chances of being recommended by Claude?
Clarity and corroboration move the needle. Audit where your brand shows up in Claude answers for your buyers' questions, sharpen your positioning so it is consistent everywhere, get featured in comparison and alternative guides, earn credible third-party mentions, and keep your documentation current. No guarantees—it takes time and sustained effort.
Read the guideHow do I check whether my hotel shows up in ChatGPT and AI search?
Ask the engines the way a guest would — describe the trip, not your hotel name — and see who gets named. Test ChatGPT, Perplexity, Gemini and the Chinese engines across several real guest questions, because results vary by engine and by phrasing. A single spot-check is anecdotal; a structured audit across engines and questions is the real measure. Salience runs that audit and scores where you appear and where you're invisible.
Read the guideBuyer's guide7
What drives the cost of a GEO audit?
GEO audit costs depend on how many engines you test, how many of your buyers' real questions you ask, the size of your competitor set, and how detailed your action plan needs to be. Whether you audit once or run ongoing monitoring also affects scope. Contact sales@pgintel.dev for a quote tailored to your business.
Read the guideHow do you choose and evaluate a GEO tool?
When evaluating a GEO tool, prioritize coverage of real buyer questions over synthetic keywords, per-dimension scoring that breaks down visibility, prominence, recommendation, accuracy, authority, and conversion, and actual competitor benchmarking. The best tool measures your AI voice, delivers a prioritized action plan, and re-audits to prove movement — not just a single vanity score.
Read the guideWhat does a GEO engagement look like in practice?
A typical GEO engagement starts with an audit that reveals where your brand appears—or doesn't—across AI answer engines. The audit uncovers specific gaps across the six dimensions. A prioritized action plan addresses those gaps, and a re-audit measures the shift in your visibility, prominence, and recommendations across the answers where your buyers ask.
Read the guideWhat's in a GEO benchmark report?
A GEO benchmark report delivers your GEO Score and its six component dimensions, your rank within your category, your Share of AI Voice versus named competitors, a detailed breakdown of where your brand appears or is missing in real AI answers, and a prioritized action plan to improve your visibility — plus a re-audit roadmap to track progress.
Read the guideWhat is an AI search optimization strategy for B2B companies?
An AI search optimization strategy for B2B is a program that makes your company legible enough to reach the shortlist when buyers ask AI engines for recommendations. It aligns five pillars — category clarity, buyer-specific content, comparison and evaluation pages, credibility signals, and consistent distribution — then measures, benchmarks, and improves your standing across ChatGPT, Perplexity, Claude, and Gemini. The goal: become the answer when a buying committee asks.
Read the guideHow do you measure the ROI of GEO?
GEO ROI comes from qualified visibility that turns into pipeline: being named and recommended in AI answers sends higher-intent buyers your way, and trusted mentions shorten the path to a decision. You attribute it by tracking the chain from AI mention to qualified visit to inquiry to influenced pipeline, then using re-audits to tie movement in your GEO Score to changes in demand.
Read the guideWhat should a hotel AI visibility audit include?
A credible hotel AI visibility audit includes repeat sampling with a volatility measure, a scored result with rank and share of AI voice (not just qualitative notes), verbatim AI answers as evidence, a per-engine breakdown, coverage of the engines your actual guests use, a confidence rating that discloses what couldn't be measured, and a re-audit path that makes before/after comparable.
Read the guideSee where you stand in AI answers.
We run the questions your buyers ask across the leading answer engines, score what comes back, and hand you a plan to move into the answer.
Check your visibility