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    StrategyPublished October 27, 20267 min read

    LLM SEO Agency: 5 Questions to Find a True Partner

    The rise of AI Overviews means traditional SEO isn't enough. To get your brand recommended, you need an agency that builds authority across the web, not just on your own site. Here's how to tell them apart.

    Matiss Katanenko

    Matiss Katanenko

    Co-founder, Honeyb

    On this page
    LLM SEO Agency: 5 Questions to Find a True Partner

    You can spot a true LLM SEO agency by asking how they measure and improve your brand's portrayal across multiple AI models. This is a necessary shift from the outdated focus on traditional keyword rankings, because the entire landscape has changed. The old playbook is not just aging; it's obsolete. The agencies that will win for their clients are the ones who have already adapted.

    The data on this is stark. According to a Semrush study from August 2026, Google now shows an AI Overview on a staggering 88% of commercial searches. These summaries are the new front page. But getting your own website cited in them is harder than you think. A study from Slate, cited in October 2026, found that for branded searches, only 29% of citations in AI Overviews point to the brand’s own website. The rest point to third parties.

    This means the first answer most of your potential customers see is now written by an AI, not by you. The game is no longer about ranking your domain; it's about becoming the trusted answer everywhere else, so the AI cites those other sources when it talks about you.

    The Ground Is Shifting Under Your Feet

    An effective LLM SEO strategy is not a static plan, because the platforms themselves are in constant flux. An agency that only talks about Google is already behind. The market for AI answers is fragmenting.

    According to data from a 2026 Similarweb report, ChatGPT's share of generative AI traffic fell from 76% to 53% in a single year, while Google's Gemini grew to capture nearly 28% and Claude rose to 9%. Your customers are getting answers from a diversifying set of engines, and your agency must be present on all of them.

    Even Google's own ecosystem is evolving at a breakneck pace. On October 15, 2026, Google announced it was testing more prominent inline links and even dedicated sections for official brand websites within its AI answers. This signals that while third-party authority is key, there are new, direct ways to be featured that a savvy agency must exploit. An agency that isn't tracking these product updates daily is flying blind.

    Looking further ahead, the very concept of a search engine is being challenged. In late September 2026, both OpenAI and Meta announced plans for "always-on" AI agents, "Dots" and "Muse" respectively, designed to handle tasks proactively for users. This points to a future where your brand needs to be discoverable by autonomous agents, not just reactive search queries. Vetting an agency means asking how they are preparing for this agentic future.

    The New Search Landscape

    88%

    AI Overview Coverage

    On commercial keywords, making them the new default answer. (Semrush, Aug 2026)

    29%

    Branded Citations to Own Site

    In AI Overviews, meaning most recommendations come from third parties. (Slate, Oct 2026)

    Recent data shows AI answers are now the dominant format for commercial queries, but they source information from across the web, not just the brand's own site.

    The New Playbook: From Ranking Pages to Winning Mentions

    The new playbook shifts the focus from ranking your own pages to winning mentions on third-party sites. This new field is called Generative Engine Optimization (GEO) or LLM SEO, getting the robots to quote you, in short, and it's a battle for influence, not just position. The goal is to become the trusted entity an AI model quotes when a user asks a question.

    That 29% self-citation figure is the key. It tells you that AI models build their trust from a wide reading of the web, not just from what you say about yourself. They synthesize information from news outlets, industry publications, review sites, and forums. An effective agency, therefore, must focus its efforts on building your authority on those third-party platforms. It is a discipline closer to digital PR and reputation management than classic technical SEO.

    How Can You Spot a Rebranded SEO Shop?

    As demand for AI visibility grows, many traditional SEO agencies are simply putting a fresh coat of paint on old services. They use terms like 'LLM SEO' but their methodology hasn't changed. Their proposals are filled with red flags if you know what to look for. They will lead with promises of 'guaranteed rankings' and show you dashboards that are just classic keyword rank trackers.

    While keyword positions still have a place as a diagnostic metric, they are no longer the main objective. An audit from a rebranded shop will likely focus entirely on your website's technical health, on-page content, and backlink profile. A true LLM SEO audit, in contrast, analyzes your brand's entire digital footprint, assessing how you are portrayed across dozens of sources the AI trusts.

    Another major red flag is a myopic focus on content generation as the sole solution. While creating high-quality, citable content is part of the puzzle, it's useless if it's published into a void. The recent September 2026 spam update from Google, which heavily penalized sites with low-quality, programmatic content, underscores this point. A good agency talks more about content distribution and authority building than just hitting a monthly article quota. They should have a plan for getting your expert insights featured on sites the AI already trusts.

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    Finally, be wary of any agency that doesn't discuss the commercial side of AI search. With OpenAI extending its ad platform to 89 countries as of October 2026, and Similarweb reporting that 26% of ChatGPT responses now contain an ad, the line between organic and paid visibility is blurring. A forward-thinking partner will have a perspective on how paid placements in AI answers should complement your organic GEO strategy, even if they don't manage the ad spend themselves.

    The most telling sign is an inability to explain how they track performance across different AI models. They might offer to do a few manual checks in ChatGPT, but this is not a strategy. As we've covered before, spot-checking your AI visibility doesn't work because the answers are too volatile. You need systematic, repeatable measurement.

    The Vetting Scorecard: Five Questions to Ask Any Agency

    To cut through the marketing jargon and find a genuine partner, you need to ask pointed questions that test their methodology. Here are five that separate the real LLM SEO agencies from the pretenders.

    First, ask: “How do you measure success?” A weak answer will revolve around keyword rankings, organic traffic, and your site's domain authority. A strong answer will focus on metrics like AI Share of Voice (your mention frequency vs. competitors), citation volume and quality, and the sentiment of how your brand is described in AI-generated answers.

    Second: “What is your strategy for building off-site authority?” A vague response like “we do content marketing and outreach” is a red flag. A competent agency will describe a concrete process for digital PR, earning features in expert roundups, seeding valuable discussions on forums like Reddit where AI models often source information, and managing your brand's narrative on key review sites.

    Third: “Which AI models do you track, and with what tools?” A bad answer is, “We keep an eye on ChatGPT.” A good answer will name multiple engines (ChatGPT, Gemini, Perplexity, Claude) and explain why a multi-model approach is essential. They should be able to name the specific AI visibility software they use to track your presence systematically.

    Fourth: “Can you show me a sample report?” An outdated report is a list of keyword rankings from Google Search Console. A modern report is a dashboard that shows your brand’s visibility in AI answers over time, identifies the competitors being mentioned, lists the exact sources being cited for those mentions, and tracks the overall sentiment.

    Finally, ask: “How do you handle the volatility of AI answers?” An unprepared agency will dismiss the question. A true partner will acknowledge that AI recommendations are not static. Honeyb's own research found the top brand recommendation changed in 44% of back-to-back identical runs on Gemini. This means the recommendation a customer sees today may not be there tomorrow, so consistent monitoring is non-negotiable. A good agency will have a process for frequent, automated tracking to catch these shifts and adapt the strategy accordingly.

    Old SEO vs. LLM SEO: A Quick Comparison

    The difference between the old and new paradigms is fundamental. This table summarizes the shift in focus, tactics, and goals that a true LLM SEO partner should embody.

    Focus AreaTraditional SEO AgencyTrue LLM SEO Agency
    Primary KPIKeyword RankingsAI Share of Voice & Citations
    Main TacticOn-Page OptimizationOff-Site Authority Building
    Key ArenaGoogle's 10 Blue LinksThird-party sites (reviews, forums, news)
    ReportingRank Tracker & GAMulti-Engine Visibility Dashboard
    Core GoalRank your domain #1Make your brand the answer

    The transition to AI-driven search is not a future trend; it is a present reality for your customers. Choosing an agency still stuck in the old paradigm of keyword rankings is a surefire way to become invisible. Use these questions to find a partner who understands that the new battlefield is for trust and authority across the entire web, not just a high rank for your own website.

    The quickest way to find out where you stand is to see for yourself. Run a free, instant check with our AI Visibility Checker to see how your brand appears in AI answers right now.

    Sources cited in this report

    keywordseverywhere.comwebstrategyplus.com2gscwizard.comblog.googleshattered.iounite.aiaisearch.similarweb.com

    Frequently asked questions

    What is the difference between LLM SEO, AEO, and GEO?

    They are largely interchangeable. LLM SEO (Large Language Model Optimization) is a specific term, while AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are broader concepts describing the practice of optimizing for AI-driven answer engines. The strategic goal is the same for all: ensuring AI models recommend your brand.

    How long does it take to see results from an LLM SEO agency?

    This is not an overnight fix. Building the kind of third-party authority that AI models trust takes time. While you might see initial changes in AI answers within a few months, achieving a significant, stable improvement in your AI share of voice should be viewed as a long-term strategic effort that compounds over time.

    What KPIs should I expect from an LLM SEO agency?

    Key Performance Indicators should move beyond rankings. Focus on your brand's AI Share of Voice (how often you're mentioned vs. competitors), the number and quality of citations in answers, and the sentiment of those mentions (positive, neutral, or negative) across key models like ChatGPT, Gemini, and Perplexity.

    Can my in-house SEO team handle LLM optimization?

    Yes, provided they shift their focus and have the right tools. It requires moving from a primary focus on technical and on-page SEO to a strategy that integrates digital PR, content syndication, and community management. Critically, it also requires investment in an AI visibility tracking platform to measure what's working and what isn't.

    Is hiring an LLM SEO agency expensive?

    Retainers vary, but the cost of being invisible in AI answers is often far higher. A better question is about the return on investment. Effective LLM SEO leads to more brand recommendations in the places where buyers are making decisions, which can directly influence pipeline and revenue in an AI-first market.

    Matiss Katanenko

    About the author

    Matiss Katanenko

    Co-founder, Honeyb

    My name is Matiss Katanenko and I co-founded Honeyb, the agent that gets brands recommended by AI, tracking how ChatGPT, Gemini, Claude, Perplexity and four more AI engines talk about them. Before Honeyb I ran SEO for fast-growing companies across the US and Europe, including one of America's 500 fastest-growing companies. The numbers I am proudest of: taking a site from zero to 200,000 monthly visitors in five months, and over $10M in client revenue attributed to organic search. I still run experiments across ten-plus of my own domains to test what actually works in SEO, programmatic SEO and AI search, and those experiments are what this blog reports on. My focus today is AI search visibility: how brands get retrieved, ranked and referenced by LLMs. I'm based in Riga, Latvia. In my free time I'm in the sauna, on a padel court, or behind a drum kit.

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