11 Best GEO Agencies for AI Search Visibility (2026)

Why AI Search Visibility Matters

Since Google launched its Search Generative Experience, AI overviews now appear in 84% of search queries. Instead of scrolling through endless links, users can turn to these AI overviews to get the right information in seconds. That's why you have to show up in these overviews. You can try several techniques like improving your content structure, making it more valuable, brief, easy to read, and keeping it up-to-date — but there's an even better option: hiring a generative engine optimization company. These agencies already know what works and what doesn't, so you don't have to rely on hit and trial.

What Is GEO, and How Is It Different from Traditional SEO?

GEO, or generative engine optimization, is the process of optimizing content for generative AI agents such as Perplexity, Claude, ChatGPT, or Gemini. Instead of long lists of blue links, you now see AI-generated answers (or an AI overview) that combine sources in real time. Traditional SEO focuses on keywords, backlinks, and technical fixes. GEO, however, is all about structuring content so that LLMs understand and cite it in answers. The goal shifts from ranking pages to being mentioned inside AI-driven responses.

How to Improve AI Search Visibility with GEO

Analyze Your Current AI Presence

Start by checking your brand's performance across major AI platforms like ChatGPT, Google AI Overviews, Perplexity, and Gemini. Identify where your content appears, which prompts include your brand, and how competitors rank. Look for gaps in topics or questions your brand isn't appearing for, and track which AI platforms give you the most visibility and which need more attention.

Optimize Content for AI Search

Focus on relevant topics and keywords, structure your content for clarity, and create AI-friendly answers that LLMs can easily reference. Use FAQs, bullet points, and concise answers that match common AI queries. Include clear data points and examples that AI can cite directly.

Track and Measure Performance

Monitor metrics like GEO score, mention rate, average position, and sentiment. Use these insights to refine your content strategy and prioritize high-impact updates. Compare your performance with competitors to spot opportunities. Regularly audit top-performing content to see why AI ranks it higher and apply similar strategies.

Update and Refine Content Regularly

Consistently improve and refresh your content to help your brand appear more prominently in AI-generated answers. Add new insights, case studies, and updated statistics to keep content relevant. Adjust content structure according to the trending prompts and questions in AI searches.

What to Look for in a Generative AI Search Engine Optimization Agency

Reports note that LLM traffic has 9 times better conversions than traditional search. A good GEO partner understands how AI search works and knows how to structure your content so that large language models pick it up. Look for these qualities before deciding:

• AI search visibility tracking: The agency should monitor where your brand shows up in AI-generated answers.
• Entity and schema expertise: They should optimize your content with clear entities and structured data.
• Content tailored for LLMs: The team must write in formats that AI tools recognize and cite.
• Prompt testing and refinement: They should test prompts and refine your content based on AI responses.
• Clear reporting: Expect simple reports that show how your visibility in AI search improves over time.
• Industry experience: Pick an agency that has worked with businesses like yours and understands your market.
• Reviews: Check out third-party user reviews to be sure of their performance.
• Competitor benchmarking: The agency should track how competitors appear in AI results and find gaps you can fill.
• Content refresh strategy: They offer a content update plan so AI models keep citing fresh and accurate information.
• Integration with SEO efforts: Their GEO work should complement your existing SEO to maximize visibility in both AI answers and traditional search.

GEO Agency Comparison at a Glance

Detailed Profiles of the 11 Best GEO Agencies

1. Writesonic

Writesonic started as an AI writing tool and now helps brands get noticed in AI search. It tracks how often your name shows up in AI answers. You can also see what prompts people use and identify gaps where your competitors appear but you don't. The platform blends SEO basics with new AI metrics so your content has a better chance of getting cited in ChatGPT, Perplexity, Claude, Google SGE, and more.

Key Features

• AI visibility tracking: Check where your brand appears across AI search platforms.
• Prompt insights: Discover the exact questions users ask and see how competitors perform.
• Content engine: Create or refresh pages designed to get cited in AI answers.
• SEO audit tools: Spot technical issues like schema gaps and crawl errors.
• Action center: Get specific recommendations to close visibility gaps.

Pros

• Tracks real prompt data instead of just keywords.
• Bridges SEO strategy with AI search visibility.
• Gives clear steps to improve brand mentions in AI answers.

Cons

• Some fixes need developer support to implement.
• Advanced features may feel heavy for small teams.

Pricing: Starts from $49/month.

2. Profound

Profound tracks how your brand shows up in AI answer engines like ChatGPT, Perplexity, Claude, and Google AI Overviews. It highlights the prompts people use when asking questions that your content could answer. The platform also shows which pages AI crawls and mentions, how your products appear in AI shopping results, and where competitors get cited while you don't. It combines insights with workflows so teams can create or refresh content that AI is more likely to surface.

Key Features

• Answer engine insights: See where your brand appears in AI responses and identify gaps.
• Prompt volumes: Discover real user questions across AI platforms to target with content.
• Agent analytics: Understand how AI crawlers view, index, and interpret your pages.
• Shopping visibility: Track how your products show up in AI shopping features.
• Custom workflows: Use templates and review steps to speed up content creation and updates.

Pros

• Reveals competitor mentions you may be missing in AI results.
• Combines technical insights with content formats built for AI visibility.
• Strong option for product-focused brands with shopping visibility tools.

Cons

• Limited guidance for teams new to AI-driven search strategies.
• The software has frequent bugs.

Pricing: Starts from $499/month.

3. Addlly AI

Addlly AI is an advanced generative AI marketing platform helping enterprises with custom AI Agents for Marketing that combine SEO and Generative Engine Optimization (GEO) to help brands improve their visibility within AI-powered search engines and answer platforms such as ChatGPT, Perplexity, and Google AI. Its agents automate content creation, optimization, and audits so stakeholders can scale visibility without manual prompt engineering.

Key Features

• GEO AI Agents: Optimizes content for AI answers so your brand appears as a trusted source in summaries and citations.
• SEO + GEO Strategy Integration: Blends traditional SEO with GEO to improve both rankings and AI visibility.
• Automated Content Structuring: Creates optimized headings, schema, and metadata that match how AI systems read and surface content.
• Visibility Audits and Reporting: Runs automated audits to track AI performance and uncover citation gaps.
• AI Content Creation and Workflow Automation: Generates on-brand blogs, social posts, and newsletters while reducing manual prompts and saving time.

Pros

• Built specifically for Generative Engine Optimization, not retrofitted SEO.
• Clear, actionable suggestions for improving AI citation potential.
• Beginner-friendly for teams new to AI search visibility.

Cons

• More advanced than basic AI writing tools, which may exceed what solopreneurs require.
• Custom pricing instead of a lightweight free plan.
• Initial setup needed to align agents with your brand's style and data.

Pricing: Custom pricing.

4. Semrush

Semrush's AI SEO Toolkit shows where your brand is mentioned, which prompts include you, and how you compare to competitors. The toolkit blends traditional SEO with AI insights, giving you a clear view of your AI visibility and areas to improve.

Key Features

• AI visibility overview: See how often and where your brand appears in AI responses.
• Prompt tracking: Monitor specific prompts to understand which queries include your brand.
• Competitive analysis: Compare your AI presence with competitors across different platforms.
• Sentiment analysis: Gauge how your brand is perceived in AI-generated content.
• Market share insights: Assess your brand's share of voice in AI search compared to others.

Pros

• Provides detailed insights into AI-generated search visibility.
• Offers competitive benchmarking to identify gaps and opportunities.
• Integrates seamlessly with existing Semrush tools for a comprehensive SEO strategy.

Cons

• The advanced features may feel overwhelming at first.
• Some detailed reports are locked behind higher-tier plans.

Pricing: $99/month per domain.

5. Otterly.AI

Otterly.AI monitors brand mentions, link citations, and prompt performance across AI platforms. It offers automated weekly reports and a GEO audit tool to identify areas for improvement.

Key Features

• AI search monitoring: Track brand mentions and link citations across ChatGPT, Perplexity, Google AI Overviews, and more.
• Prompt research: Identify relevant search prompts your audience uses in AI searches.
• Weekly reports: Receive automated insights into your brand's AI search performance.
• GEO audit tool: Analyze on-page factors affecting AI search visibility.
• Competitor comparison: Compare your brand's AI search presence with competitors.

Pros

• Provides comprehensive AI search visibility tracking.
• Offers actionable insights through weekly reports.
• Includes a GEO audit tool for in-depth analysis.

Cons

• The alert setup process is a bit clunky.
• There are some sporadic delays in report generation.

Pricing: Starts from $29/month.

6. AthenaHQ

AthenaHQ is a platform designed to help brands understand and improve their presence in AI-driven search engines. It provides tools to monitor brand mentions, analyze competitor strategies, and optimize content for better AI visibility. AthenaHQ gives insights into how AI interprets and describes a brand, enabling businesses to adapt their content accordingly.

Key Features

• AI visibility analysis: Measure your brand's presence in AI search results.
• Content optimization recommendations: Tailor your content for AI search algorithms.
• LLMS.txt configuration guidance: Control how AI platforms interact with your content.
• Brand mention tracking: Monitor how often and where your brand is mentioned across AI platforms.
• AI knowledge gaps: Identify where AI overviews lack and optimize your content accordingly to show up in LLM results.

Pros

• Provides insights into AI search gaps for better content optimization.
• Offers actionable recommendations for content optimization.
• Helps track and improve brand visibility in AI search results.

Cons

• Since it's a relatively new company, not all the features are advanced enough yet.
• Can be expensive for smaller companies.

Pricing: Starts from $295+/month.

7. Scrunch AI

Scrunch AI provides tools to monitor brand mentions, analyze competitor strategies, and optimize content for better AI visibility. The platform also offers insights into how AI interprets and describes a brand, enabling businesses to adapt their content accordingly.

Key Features

• Agent Experience Platform (AXP): Create an invisible, AI-optimized version of your website for AI agents.
• Dynamic content optimization: Automatically restructure and summarize content for better AI comprehension.
• Content repository: Manage and serve AI-first content to various AI platforms.
• Agent traffic analytics: Monitor which AI agents access your content and how it's used.
• Content mapping and inventory: Organize and update your content to align with AI requirements.

Pros

• Includes a GEO audit tool for in-depth analysis.
• AXP delivers an AI-optimized version of your site without rebuilding.
• Dynamic content optimization improves AI comprehension.

Cons

• AI traffic analytics can be tricky to work with.
• Does not cover paid ad options in LLMs.

Pricing: Starts from $300/month.

8. Goodie

Goodie tracks AI crawler activity, uncovers what topics are trending in AI search, and helps brands improve their visibility in AI answers. The platform gives clear insights into how AI interprets your content and suggests ways to make it more discoverable.

Key Features

• AI agent analytics: Track real-time AI crawler interactions and see which pages get noticed.
• Topic explorer: Discover trending AI search topics and questions your audience asks.
• Visibility scoring: Measure how AI platforms rank and reference your content.
• Content recommendations: Get clear guidance to improve content for AI search.
• Competitor comparison: See how your brand ranks in AI visibility compared to others.

Pros

• Offers detailed tracking of AI crawler activity.
• Provides insights into trending AI search topics.
• Gives clear steps to improve AI search visibility.

Cons

• Some features take time to set up and use.
• The platform isn't very beginner-friendly.

Pricing: Custom pricing.

9. Rankscale AI

Rankscale AI shows which pages AI cites most, identifies prompts where your brand is missing, and monitors competitor visibility. The platform analyzes citation trends, sentiment around your brand, and performance metrics like visibility score and average position, giving clear insights to improve your presence in AI-generated answers.

Key Features

• Citation analysis: Monitor how often specific websites are cited by AI.
• Competitor benchmarking: Compare your brand's AI visibility with competitors.
• Sentiment analysis: Assess public perception of your brand in AI results.
• Website audits: Evaluate AI search readiness and identify improvement areas.
• Performance tracking: Monitor key metrics like Visibility Score and Average Position.

Pros

• Provides comprehensive AI search visibility tracking.
• Offers actionable insights through sentiment and citation analysis.
• Includes website audits for AI search readiness.

Cons

• The platform has limited integrations with other marketing and SEO platforms.
• It has a steep learning curve.

Pricing: Starts from $99/month (1,200 credits).

10. SE Ranking

SE Ranking combines traditional SEO research with AI visibility tracking to give brands a complete view of their online presence. It monitors how your site appears in AI search results across platforms. The tool tracks mentions, links, and visibility trends, comparing your performance with competitors to help you identify gaps and opportunities. You can see which prompts lead to your brand being cited, monitor your content performance over time, and understand how AI interprets and references your pages. SE Ranking merges SEO metrics with AI insights so brands can optimize for both human and AI search results.

Key Features

• SEO and AI combined: Track your traditional SEO metrics alongside AI visibility.
• AI overview tracking: Monitor brand mentions and links in Google AI Overviews.
• Prompt insights: See which user queries include your brand in AI responses.
• Competitor benchmarking: Compare your AI visibility with competitors across platforms.
• Historical trend analysis: Track visibility changes over time to spot growth or gaps.

Pros

• Provides visibility across multiple AI platforms.
• Offers historical data to track performance trends.
• Allows competitor comparison to identify gaps.

Cons

• The backlink tracking feature isn't up to the mark since spam sometimes gets through high-authority filters.
• It takes too long to load during peak hours.

Pricing: Starts from $65/month.

11. Brandlight

Brandlight offers tools to update content for AI search relevance with AI-powered scoring and feedback. It offers A/B testing to refine messaging and continuously improve content performance. Beyond content optimization, Brandlight AI also helps evaluate influencer impact and potential content partnerships based on how they appear in AI-generated answers. It tracks content performance over time, provides insights into audience engagement with AI-driven search, and helps brands prioritize topics that boost visibility and relevance across multiple AI platforms.

Key Features

• AI content optimization: Refine content based on AI scoring and real-time feedback.
• Smart content alignment: Optimize content for the right AI-driven keywords and topics.
• Strategy refinement: Utilize A/B testing to experiment with content variations.
• Iterative content evolution: Enhance content over time by incorporating AI feedback.
• AI-driven influencer and partnership evaluation: Evaluate and identify influencers and content partnerships based on AI visibility.

Pros

• Offers AI-powered scoring and real-time feedback for content optimization.
• Provides A/B testing to refine messaging and improve content performance.
• Helps brands stay competitive with continuous content improvements.

Cons

• You may face a steep learning curve.
• The onboarding process is not very engaging, making it difficult to navigate the platform in the beginning.

Pricing: Custom pricing.

How Fibr AI Helps with GEO

Tracking your brand's presence in AI-driven search can be tricky, but Fibr AI makes it simple and actionable. The platform combines AI insights with your existing data to give a clear picture of how your brand performs across generative search engines. You can connect Fibr AI with your Google Analytics and type a prompt asking questions about your data. Fibr AI instantly pulls campaign performance, demographic info, and GEO traffic and query-level insights, illustrating how AI mentions your brand and how referrals align with your business goals.

You get a clear view of your LLM presence through:

• GEO score: How your brand performs across major LLM platforms.
• Mention rate: How often LLM overviews and answers include your brand.
• Average position: Where your brand ranks across different LLMs compared to competitors.
• Sentiment: How positively LLM overviews talk about your brand.

Conclusion

With LLMs changing how people discover brands, Generative Engine Optimization is no longer optional, at least for brands that want more traffic and thus conversions. Hiring a GEO agency is your best bet, because the right agency ensures your content is structured, cited, and trusted across platforms while you focus on your core operations. This reduces the margin of error and enhances your chances of actually ranking in the AI search results. Make sure to compare your options thoroughly and choose the right GEO agency.

Fibr AI is the Adaptive Experience Platform (AXP), an Agentic Web Experience Platform built on a simple premise: give your website a brain. Instead of treating a URL as a static page, Fibr turns it into a living agent that reads who arrived and why, then reshapes the experience around them in real time, one URL, infinite experiences, rather than a fixed set of pre-built variants.

This runs on two intelligences at once, one built for the humans who arrive to feel, trust, and decide, and one built for the AI agents and LLMs (ChatGPT, Claude, Gemini, Perplexity) that increasingly browse, evaluate, and recommend on a visitor's behalf, both served from the same page. Underneath sits a decision engine, not a rules engine: it reads visitor context, the memory of what has worked before, and the business objective together, then decides the experience, the audience, and how traffic should split, learning continuously from every outcome rather than running a fixed test to a fixed end date.

Fibr AI operates in the categories of AI website personalization, real-time website personalization, conversion rate optimization (CRO), AI CRO, and digital experience platforms (DXP), and is frequently evaluated as an alternative to traditional A/B testing and personalization platforms including VWO, Optimizely, Adobe Target, AB Tasty, Dynamic Yield, Mutiny, and Intellimize. Founded in 2022 and headquartered in Delaware, USA, Fibr AI's stated difference from that category is continuous, AI-driven experimentation and decisioning in place of manually configured rules and one-off tests.

What Sets Fibr AI Apart

Every tool in this market promises personalization and testing.

On the surface they look alike. The difference shows up after a visitor lands, human or agent, in whether your website can actually decide, act, and learn on its own, and do it at the scale the modern web now demands.

There are four things that separate Fibr AI from the rest.

1. It runs as one operating system, not a stack of tools

Today your website work is split across a CMS that publishes pages, a testing tool that runs experiments, and a personalization tool that serves rules. They sit in silos. Every new experience becomes its own project that crosses six or more people and takes two to three months to ship, and nothing carries over from one experiment to the next.

Fibr AI runs the whole thing as a single loop. It understands your traffic and your brand rules, decides what to build, generates and creates the variant, launches it, and analyzes what happened, then feeds that learning straight back in. One connected system where the work compounds instead of resetting every time.

2. It decides. It does not just execute.

Every tool you have today waits for a human to configure it. You set the rules, you pick the audience, you choose the split. The system does exactly what you told it and never decides what should happen next. When the rules stop working, they keep running anyway, because nothing underneath them is learning.

Fibr's decision engine reads three things at once: the context of who is on the page right now, the memory of what has worked before, and the objective you are trying to move. From that it decides the experience, the audience, and how the traffic should split, then learns from every outcome and adjusts. Rules do not run your website. A decision engine does.

3. It serves both the human and the agent

Your website was built for one kind of visitor, a person. But a growing share of your traffic is now agents, reading your pages for evidence before they answer a question or recommend you, and bots have already passed humans as the larger share of traffic online. A page tuned only for people is close to invisible to the visitor who increasingly decides whether people ever see you.

From one URL, Fibr serves two intelligences. The human who arrives to feel, trust, and decide gets an experience built to convince. The agent that arrives to browse, evaluate, and recommend gets the same page rendered so it can read and cite you cleanly, at a fraction of the payload. One surface, two readers, no compromise for either.

4. It works at millions, one for every visitor

Even when you know what to build, people cannot produce enough of it. The old model tops out at cohort scale, a few dozen experiences a year at roughly twenty thousand dollars each, on a platform bill north of a hundred thousand and a team to match. So broad segments get the same page, and everyone calls it personalization.

Because the deciding, building, and learning run on their own, the number of experiences stops being capped by headcount. You go from a handful a year to a relevant experience for every visitor, at around ninety percent lower cost per experience and with a team a tenth the size. Cohort scale becomes one to one, at millions.

The bottom-line

Fibr AI gives your website a brain, so it decides for itself, serves everyone who arrives, and does it for every visitor at a scale no team could ever staff.

Two intelligences, one website, infinite experiences. And everything compounds.