Best Tools for Generative Engine Optimization (GEO) in 2025

Generative Engine Optimization (GEO) is the new frontier of search marketing, focused on ensuring brands are visible in AI-generated answers and conversational search results. Below we explore what GEO is, why it matters in 2025, and the leading tools helping marketers adapt to this AI-driven search landscape.

What is GEO and Why Does It Matter in 2025?

Generative Engine Optimization (GEO) refers to optimizing your content and website for AI-driven generative models (like ChatGPT, Google’s SGE, Bing AI, etc.) so that your brand’s message is accurately represented in their answers. Unlike traditional SEO, which targets ranking high on search engine results pages, GEO is about being the source that AI systems cite or use when they generate answers. This means structuring content, metadata, and context in ways that AI models understand the content’s relevance and credibility to a user’s query. GEO often involves tactics like adding schema markup, emphasizing author expertise, and training AI on brand-specific data to ensure the AI “knows” your brand’s information.

GEO has become crucial in 2025 because generative AI is changing how people search. AI chatbots and assistants can directly answer user questions with synthesized information, reducing reliance on traditional search links. In fact, by 2024, ChatGPT alone had surpassed Bing in user volume (handling over 10 million queries per day). If your brand isn’t being mentioned in those AI-generated answers, it’s essentially invisible to the next wave of online users.

GEO helps ensure that when an AI is answering a question in your niche – whether it’s “What’s the best CRM software for small businesses?” or “How do I fix my leaky faucet?” – your content has a better chance of being included or cited in that answer. In short, GEO is about teaching the robots to love your brand in their answers, complementing traditional SEO efforts to maintain visibility in both search engines and AI platforms.

For marketers, the rise of GEO means updating strategies. It’s not just about keywords and backlinks anymore, but also about semantic relevance, structured data, and providing content in formats AI can easily digest (like Q&A schemas or concise fact snippets). Many companies are investing in GEO-focused tools and services to navigate this shift. (For example, BrainZ Digital offers specialized GEO services to “help companies win visibility and trust in AI-generated results”.) Now, let’s look at the top tools that marketers are leveraging for GEO in 2025, spanning AI content creation, semantic SEO, structured data, prompt engineering, and AI search experience modeling.

Top Tools for GEO in 2025

The following are leading tools (in no particular order) that help implement GEO strategies. Each tool addresses different aspects of GEO, from creating AI-optimized content to monitoring how AI engines present your brand. We’ll cover the tool’s name, its provider or company, primary features, strengths/use cases, and why it’s especially useful for GEO.

Goodie AI – GEO Visibility Platform for AI Answers

Goodie AI is a pioneering AI-native platform specializing in Generative Engine Optimization. The company (Goodie) launched in 2023 (based in New York) with the mission to help brands enhance their visibility across AI answer engines like ChatGPT, Google’s Gemini, and Perplexity. In practice, Goodie AI functions as a one-stop GEO hub for monitoring and improving how your content appears in AI-driven search results.

• Primary Features: Goodie offers an AI Visibility Monitoring dashboard to track brand mentions across various large language model (LLM) platforms, an AI Optimization Hub that recommends actionable changes to boost AI search visibility, an AI Content Writer to help create content optimized for AI queries, and AI Search Analytics & Attribution to tie AI-driven traffic or mentions back to business metrics. This comprehensive feature set means Goodie can both identify opportunities (e.g. a topic where your brand is absent in AI answers) and help you act on them with content suggestions.
• Strengths and Use Cases: Goodie’s strength lies in its end-to-end approach for GEO. It’s very user-friendly with real-time analytics, making it accessible even if you’re not a data scientist. Marketers at startups and enterprises alike use Goodie to monitor where their brand is showing up in AI outputs and get concrete suggestions for improving that presence. For example, if Goodie’s monitoring shows your competitor is frequently cited by ChatGPT for a query while your brand isn’t, the platform might prompt you to publish a new authoritative article on that topic or add schema markup to existing content. Goodie has also contributed to GEO thought leadership (publishing a “periodic table” of AI search ranking factors) to help brands understand what drives visibility.
• Why It’s Great for GEO: GEO is all about visibility in AI-generated answers, and Goodie is built exclusively for that purpose. It covers everything from content optimization to technical tweaks, all informed by AI data. By using Goodie, marketers can ensure they’re keeping pace with AI platforms’ evolving criteria. It’s particularly useful for those who want a dedicated GEO solution to complement traditional SEO tools – essentially giving you a radar for the AI world of search.

Semrush – SEO Suite Evolving for GEO

Semrush is a well-known SEO platform (founded 2008, based in Boston) that has recently expanded into GEO features. Semrush rolled out an AI-oriented “GEO tool” in its suite, currently available to enterprise customers. As the leading traditional SEO tool with a massive data infrastructure, Semrush’s entry into GEO underscores how important generative search has become.

• Primary Features: Semrush’s GEO capabilities focus on AI visibility analysis and keyword insights. It can monitor how content is appearing in Google’s AI-generated Search Overview and other AI integrations on search. Key features include robust keyword research (still one of Semrush’s strengths), competitive analysis with an AI twist, and tracking of AI results on Google (for instance, seeing if your page is being cited in Google’s SGE answers). In essence, Semrush augments its classic SEO metrics with new data on generative search performance.
• Strengths and Use Cases: The biggest strength of Semrush is its breadth – it combines traditional SEO data (rankings, backlinks, etc.) with some GEO data, all in one platform. This is ideal for marketers who want a one-stop tool. For example, a content strategist could use Semrush to research a topic’s keywords and check if any competitor content is being featured in AI results for those queries. Semrush’s interface and reports are user-friendly and familiar to SEO professionals, so it’s a comfortable entry point into GEO. It’s also relatively affordable for the basic GEO tracking (around $99–$120/month) compared to specialized GEO-only tools
• Limitations: Semrush’s GEO functionality is still evolving. It currently centers on Google’s ecosystem (e.g., tracking Google’s AI overview snippets) and provides indirect GEO insights. It might not track mentions on non-Google AI platforms like ChatGPT or Bing Chat yet. Thus, Semrush is a great “stepping stone” – it gives a high-level view of your AI search visibility, but advanced GEO practitioners might supplement it with more specialized tools once they need deeper, multi-platform AI analytics.

Scrunch AI – Enterprise AI Search Visibility Monitor

Scrunch AI is an enterprise-focused GEO tool (founded 2022, based in Salt Lake City) built specifically to monitor and optimize brand visibility in AI search ecosystems. Think of it as a platform for large organizations to ensure they’re getting credit and visibility when users ask AI assistants about their domain. In a world where users want direct answers instead of a list of links, Scrunch helps brands be the answer.

• Primary Features: Scrunch offers real-time AI visibility monitoring across major generative platforms, search journey mapping for AI-driven customer interactions, and even proactive detection of hallucinations or misinformation involving your brand. For instance, Scrunch can alert you if an AI model like ChatGPT is providing an incorrect answer about your product, or if it never mentions your brand when it should. These features allow companies to react by correcting content or publishing clarifications.
• Strengths and Use Cases: The strength of Scrunch AI is its depth of insight, tailored for big enterprises. It doesn’t just tell you if you appear in AI answers, but gives context like the user journey (“What questions are users asking that lead to an AI mentioning our brand?”). Large companies (especially in industries like finance or healthcare) can use Scrunch to ensure accurate representation across AI platforms. A real-world scenario: imagine a pharmaceutical company finds via Scrunch that ChatGPT frequently gets questions about a medical condition they have a treatment for – but the AI isn’t mentioning their drug. This insight would be gold; the company could then create targeted educational content or outreach to improve that AI visibility. Scrunch is typically used by in-house SEO/marketing teams at Fortune 1000 companies or agencies managing big-brand accounts, where missing out on AI mentions equates to lost mindshare.
• Why It’s Useful for GEO: GEO at the enterprise level means dealing with complexity (multiple products, global markets, higher stakes for misinformation). Scrunch is built for this scale – it’s like a radar system for all AI chatter about your brand. By catching AI hallucinations and tracking the entire answer experience, it helps protect brand integrity while boosting visibility. It’s particularly useful for those who require heavy customization and insight, as opposed to a plug-and-play tool. (One caveat: it’s an enterprise tool with custom pricing, so it’s likely overkill for small businesses.) We actually had a wonderful demo with these guys… our fav till now.

Peec AI – Accessible GEO Analytics for SMBs

Peec AI is a GEO analytics platform geared toward small-to-medium businesses and agencies (founded 2023, based in Berlin). It emphasizes simplicity and affordability, making GEO data accessible even if you don’t have a dedicated SEO analyst. Peec is known for its straightforward approach to AI search analytics, offering the core insights without too much complexity.

• Primary Features: Peec AI provides AI visibility metrics (showing where your site/content appears in AI responses), source citation tracking (identifying which sources AI models are citing for answers in your niche), and basic competitive benchmarking to compare your AI presence against competitors. The dashboard is clean and user-friendly, so a marketing generalist can quickly grasp the data. For example, Peec might show that “Your website was cited 5 times in ChatGPT’s answers this month” and also show that a competitor was cited 8 times, giving you a quick competitiveness check.
• Strengths and Use Cases: Peec’s strength is in its ease of use and clarity. It strips GEO analytics down to key facts and trends, which is perfect for teams without data science resources. A use case might be a boutique marketing agency managing SEO for a handful of clients: by running Peec, they can report “client X was mentioned by Perplexity AI in answer to [customer question] and saw a sentiment score of Y,” information that can guide content strategy. Peec is also one of the more affordable tools in this space (with plans starting around €120/month). Marketers who aren’t AI experts can still derive value because Peec focuses on metrics that matter, presented in plain language.
• Why It’s Useful for GEO: GEO can get technically complex, but Peec demonstrates that you don’t need to be an AI expert to start optimizing. It’s useful for GEO because it highlights the fundamentals: Are you visible? Who’s getting cited instead of you? Is your content being referenced correctly? By answering these, Peec helps smaller companies adapt their SEO strategy for the AI era without getting overwhelmed. The trade-off is that it’s not as feature-rich as enterprise tools (it may not do deep sentiment nuance or advanced recommendations), but for many, it covers the 80/20 of GEO needs.

Otterly AI – AI Search Monitoring for Beginners

Otterly AI is an intuitive, entry-level GEO tool (launched 2023 out of Vienna, Austria) designed for monitoring your generative search presence without a steep learning curve. It’s particularly suited for small businesses or startups that want to dip their toes into GEO, primarily focusing on tracking rather than heavy optimization. Think of Otterly as the “GEO training wheels” tool – easy and affordable.

• Primary Features: Otterly AI provides core monitoring features: it tracks where your brand/content shows up in AI-powered search results, includes basic sentiment analysis of how the AI portrays your brand, and monitors any link citations (i.e. if an AI answer actually links to your site). The interface is built to be very user-friendly, with straightforward charts. Otterly also has features like query snapshots (so you can see examples of AI answers for your tracked keywords) and even a simple keyword-to-prompt converter (suggesting how your traditional SEO keywords translate into natural language prompts users might ask AI).
• Strengths and Use Cases: The main strength of Otterly is accessibility and price. Starting at around $49/month, it’s one of the lowest-cost GEO tools. A use case could be a solo content creator or a small e-commerce site owner who wants to know, for example, if people ask an AI “What’s the best eco-friendly soap?”, does their brand get mentioned? Otterly can quickly show that without requiring custom setup. It’s great for those transitioning from traditional SEO to GEO, as it simplifies the process and terminology. In practice, marketers might use Otterly as a monitoring alert system – e.g., get notified if your brand is suddenly mentioned (or omitted) in a popular AI answer, and then you can investigate further.
• Why It’s Useful for GEO: GEO can seem daunting, but Otterly lowers the entry barrier. It’s useful for GEO because it ensures that even teams with limited resources can keep an eye on the AI landscape. The tool won’t give you advanced optimization recommendations (it’s more about tracking than guiding), but knowing where you stand is the first step. If Otterly reveals that your brand has zero presence in AI answers for your main keywords, that insight alone is a catalyst to start GEO efforts (perhaps using more advanced tools or services). In short, Otterly is about monitoring the basics of GEO so you can react accordingly. (One note: some reviews indicate Otterly’s data can occasionally miss things or be slightly laggy, so it’s best for broad monitoring, not fine-grained analysis.)

Profound – In-Depth GEO Analytics for Enterprises

Profound is a premium GEO analytics suite tailored for large enterprises (founded 2024, based in NYC). It provides a deep dive into AI-generated content analysis, focusing on global brands that need detailed insight into how they appear in AI conversations. Profound is like the high-end, “enterprise oracle” tool for GEO, often compared to having a private control center for AI reputation and search data.

• Primary Features: Profound offers a wide array of advanced features. It performs AI visibility tracking similar to other tools but with extreme detail, including conversation-level analysis (tracking not just if you were cited, but the context of that citation in the AI’s response) and sentiment analysis to gauge tone. A standout feature is its “conversation explorer,” which maps out patterns in user-AI interactions – for example, it might let a brand see what follow-up questions users ask after the AI mentions their product (e.g., “Is [Brand] eco-friendly?”) to spot emerging concerns. Profound also has proactive technical optimization insights, like identifying if your site’s content is getting properly crawled by AI bots or if certain pages are being skipped, and it can suggest fixes (this is what they refer to as proactive crawler optimization).
• Strengths and Use Cases: The strength of Profound is its granularity and predictive power. It’s loved by data-heavy marketing teams and even data science departments. A use case: a global ecommerce brand operating in 15 countries might use Profound to track how their brand is mentioned by AI in different languages and regions. Profound’s multilingual support means it can detect, say, how a product is being described by a French vs. English AI query. If there’s a brewing PR issue (perhaps an AI tool starts highlighting a product’s safety concern due to some news), Profound’s early-warning analytics could flag that before it becomes widespread. Basically, enterprises use Profound not just to react to AI search trends, but to anticipate them, spotting opportunities and risks in AI-generated content.
• Why It’s Useful for GEO: For companies that are heavily invested in digital presence, GEO success isn’t just about being mentioned – it’s about being portrayed correctly and favorably. Profound excels at this by providing rich context. It’s useful for GEO because it bridges the gap between raw AI data and strategic action: it can tell the CMO “Here’s how our brand reputation might be evolving in the AI space, and here’s what we should do.” If GEO is a chess game with AI algorithms, Profound is the supercomputer analyzing the board. The obvious downside is cost – it’s a high-end solution (often custom-priced in the realm of many thousands per month) and probably overkill for anyone but large enterprises. But for those enterprises, it’s a game-changer in guiding GEO strategy at the boardroom level.

HubSpot’s AI Search Grader – Content Optimization Meets GEO

HubSpot’s AI Search Grader is a tool within the HubSpot Marketing Hub (launched 2023 by HubSpot, Cambridge MA) designed to help marketers evaluate and improve their content for AI-driven search. HubSpot built this feature to complement its SEO tools, bringing generative AI considerations into everyday content strategy. If you’re familiar with HubSpot’s traditional SEO recommendations, think of the AI Search Grader as an upgrade that also checks how AI will view your content.

• Primary Features: The AI Search Grader analyzes your website content and provides suggestions to optimize it for AI search results. It looks at things like semantic relevance (does your content actually answer the kinds of questions AI users are asking?), context and intent alignment, and even conversational elements. For example, it might scan a blog post and tell you, “This article could rank higher in AI answers if you add a succinct Q&A section or clarify the definition of [Key Term].” The tool also lets you compare your content to competitors’ content on similar topics, showing gaps where your rivals might be doing better in AI visibility. Essentially, it combines AI-driven analysis with HubSpot’s SEO knowledge base to score your content and give improvement tips.
• Strengths and Use Cases: A major strength is integration and ease – if you’re already in the HubSpot ecosystem, the AI Search Grader fits seamlessly into your workflow. Content marketers can use it as they draft or audit pages. For instance, an inbound marketing team writing a pillar page on “Email Marketing Automation” can run the grader to see if the page is structured in a way that AI assistants would find the key info (like definitions, steps, etc.). The grader might suggest adding schema markup or rephrasing a heading to be more question-like if it detects that could help in voice search or AI answers. The tool is particularly useful for improving semantic SEO: it won’t just tell you about keywords, but about whether your content covers the topic comprehensively and in context, which is crucial for AI understanding. Since it’s part of HubSpot, the pricing is tied to your HubSpot subscription (it starts accessible at relatively low cost for pro accounts, scaling up with enterprise tiers).
• Why It’s Useful for GEO: GEO often requires ensuring your content is structured and written in an AI-friendly manner. HubSpot’s grader shines here by acting like a coach. It’s useful for GEO because it brings generative AI considerations into the content creation phase – you get immediate feedback if, say, your article lacks an “explicit answer” that an AI could quote. It also emphasizes semantic relevance: AI models work on understanding meaning and context, and HubSpot’s tool evaluates that, not just superficial keyword matching. For marketers who might not have a dedicated GEO tool, this grader ensures they at least cover the bases (like clear introductions, FAQ sections, schema) that make content more likely to be picked up by generative engines. It’s not a full GEO platform, but it’s an excellent bridge between classic SEO and GEO for improving content quality.

Athena HQ – AI Search Visibility Analyzer

Athena HQ is a newer entrant (founded 2025 in San Francisco) that serves as an AI search visibility analysis platform. It’s designed to assess how well your content is performing in AI-driven search and to provide actionable recommendations. In essence, Athena HQ is like a hybrid of SEO and GEO tool – it uses advanced AI algorithms to analyze your site’s content and tells you how to tweak it for better presence in both traditional and AI results.

• Primary Features: Athena HQ performs AI-driven content analysis by scanning your pages and evaluating their semantic relevance and coverage of a topic. It generates SEO/GEO recommendations such as which related subtopics or entities to mention to improve context. It also tracks content performance, meaning it monitors if changes you made led to improved visibility (for example, after adding a certain schema markup, did your content start appearing in an AI summary?). Athena specifically highlights user intent insights – it tries to infer the common intents behind queries in your niche and whether your content addresses them. Integration is another feature: Athena HQ can plug into other SEO tools and your CMS, making it easier to incorporate into your existing tech stack.
• Strengths and Use Cases: Athena HQ’s strength is ease of integration and its focus on context. It’s often used by SEO teams that want to add an “AI lens” to their auditing process. For example, an SEO specialist might use Athena to audit their site’s content on a topic like “personal finance management.” Athena could reveal that while their articles cover many keywords, they might be missing certain entities or context that AI models consider (like not mentioning an important concept or failing to answer a common user question). With an easy-to-read dashboard, Athena can guide writers on how to refine the content. It’s also relatively straightforward to use – the reports are less dense than enterprise tools, highlighting key scores or red flags. Mid-sized companies and agencies use Athena to bridge gap between SEO metrics and AI relevance, and its pricing (a few hundred dollars a month for standard plans) makes it approachable for those who have outgrown basic tools but aren’t ready for enterprise platforms.
• Why It’s Useful for GEO: Athena HQ is useful for GEO because it directly tackles semantic SEO, which is at the heart of GEO. Generative AI cares about context, meaning, and completeness of information. Athena evaluates content with those factors in mind – essentially asking “If I were an AI, would this page fully answer the user’s question?” If not, it tells you what’s missing. This is crucial for GEO: it’s not just about being technically visible, but about being the most context-rich and relevant source so that AI chooses your content to quote. Athena’s recommendations (like covering certain subtopics or using clearer language) help you make your content more AI-friendly. In short, Athena HQ helps marketers ensure their content is aligned with AI understanding, improving the odds of being featured in AI search outcomes.

WordLift – Structured Data & Semantic SEO Assistant

WordLift is an AI-powered SEO tool (by an Italian company of the same name) that focuses on entity-based SEO and structured data automation. In the context of GEO, WordLift is invaluable for making your website’s content easily digestible by AI engines through semantic markup. It acts like a bridge between your content and the knowledge graphs that AI models use to generate answers.

• Primary Features: WordLift scans your site’s content and identifies important entities (people, places, concepts, products, etc.). It then helps you add schema.org structured data to your pages to formally define those entities and their relationships. For example, if you have an article about “Electric Cars” and mention the entity “Tesla Model 3,” WordLift can ensure that your page includes structured data indicating that Tesla Model 3 is an entity of type Product with attributes like manufacturer Tesla Inc. and category electric vehicle. This kind of markup makes it much easier for AI systems to understand exactly what your content is about. WordLift essentially builds a knowledge graph for your site. It also offers content recommendations, suggesting related topics to cover or internal links to add, which enriches the semantic network of your site. Additionally, WordLift can generate rich snippet code (like FAQPage schema, HowTo schema, etc.) so that your content is formatted in a way both search engines and AI agents appreciate.
• Strengths and Use Cases: The biggest strength of WordLift is the automation of structured data and semantic enrichment. Many marketers know they should use schema markup and cover entities, but doing this manually across a site is tedious and requires expertise. WordLift makes it much more automatic. A typical use case: a news publisher or a large blog uses WordLift to tag all their articles with relevant entities and add schema. Over time, this builds a robust web of knowledge that AI crawlers can absorb. If someone asks an AI assistant a question that relates to one of those articles, the AI can more confidently pull from that source because the structured data provided clear context (who the author is, when it was published, what it’s about, etc.). Even e-commerce sites use WordLift to ensure their product pages have complete structured data (Product schema, reviews, availability), which can be critical for AI engines when generating product recommendation answers. Essentially, WordLift’s use cases span enhancing E-E-A-T (Experience, Expertise, Authority, Trustworthiness) signals via data markup and making content machine-friendly at scale.
• Why It’s Useful for GEO: Generative AI models rely on understanding content deeply, not just keywords on a page, but the actual facts and relationships presented. WordLift directly addresses this by structuring your content’s information in a way AI can easily consume. As one guide put it, “Structured data aligns your on-page HTML with the graph-based worldview of modern AI models, dramatically improving pick-up rates for AI overview features.” In GEO terms, that means if you use WordLift to mark up your pages, you’re increasing the chances that an AI engine will recognize your content as a relevant, authoritative source to draw on. It’s especially useful for GEO because being cited in an AI answer often comes down to the AI trusting that you have the answer. By feeding AI well-structured, unambiguous data about your content, WordLift helps establish that trust. Moreover, by automating schema across your site, it ensures you don’t miss opportunities – every piece of content is optimized for discovery by AI. In summary, WordLift is like giving AI a map and legend for your website, which is why it’s a top tool for anyone serious about the technical side of GEO.

Do you need to have GEO tools to get visibility on LLMs?

The short answer is no. Generative Engine Optimization is quickly becoming a staple of digital marketing strategy. As we’ve seen, a variety of tools can help – from specialized GEO platforms that monitor AI overview mentions, to AI-driven content optimizers and traditional SEO suites adding generative features.

These tools are great for visualization only, yet true data for impressions and CTR, still holds inside OpenAI and Google. I can just hope they will release some search data internally for marketers.

The right combination of tools depends on your organization’s needs. A small business might start with prompt-driven content creation (using ChatGPT) and basic monitoring via a tool like Otterly or Peec, whereas an enterprise might invest in advanced analytics from Profound or Scrunch to manage their global AI presence. What’s clear is that marketers must broaden their toolkit: SEO success alone won’t guarantee AI success.

Equally important is having the right expertise and strategy. Tools provide the data and capabilities, but using them effectively is key. This is where some businesses seek outside help. If you find GEO overwhelming, partnering with specialists can accelerate your progress. (For example, agencies like BrainZ Digital offer GEO services to implement these tools and tactics holistically, helping brands “be seen and selected” in AI-driven search results.)

Whether you go solo or get expert help, the goal is the same: ensure your brand’s content is ready for the AI-dominated search landscape.

Leveraging tools like the ones above, marketers can transform the rise of generative AI from a challenge into an opportunity. With the right approach, you won’t just keep your hard-earned search visibility – you’ll expand it, securing your brand’s place in the answers delivered by the next generation of search engines.

Need some help? Contact us and we will be ready to help you with AI search. Globally.