Category: Generative Engine Optimization (GEO)

  • 6 Best Transportation & Logistics GEO/AEO Agencies for 2026

    6 Best Transportation & Logistics GEO/AEO Agencies for 2026

    We see GEO (generative engine optimization) and AEO (answer engine optimization) becoming increasingly important entry points for B2B buyers in freight, logistics, and supply chain. These practices help companies earn recommendations when prospective customers ask AI platforms to suggest providers. To identify the agencies doing this work most effectively, our research team evaluated 34 firms with documented GEO and AEO capabilities.

    We weighted six factors in our assessment:

    • AI Visibility (25%): We measured how consistently each agency gets transportation and logistics clients recommended when prospective customers ask AI platforms for provider suggestions.
    • Transportation and Logistics Specialization (20%): We considered the agency’s industry knowledge and understanding of how transportation and logistics businesses operate.
    • GEO/AEO Expertise (20%): We evaluated each team’s hands-on knowledge of GEO and AEO mechanics.
    • Notable Clients (15%): We looked for documented experience with transportation, logistics, freight, or supply chain clients.
    • Leadership Experience (10%): We assessed the leadership team’s digital marketing background and firsthand experience building and executing GEO programs for transportation and logistics companies.
    • Average Review Score (10%): We aggregated ratings across Google, Clutch, and G2.

    Based on those criteria, we identified the following agencies as the strongest transportation and logistics GEO partners for companies seeking customers through the expanding field of AI-driven search.

    Our Top Transportation and Logistics GEO Agencies

    RankCompanyAI Visibility (1–5)T&L Specialization (1–5)GEO/AEO Expertise (1–5)Leadership Experience (1–5)Average Review Score (1–5)Notable Clients
    1First Page Sage4.94.65.04.84.9iGPS, Montway Auto Transport, BKM Transport, Summa Energy
    2Genevate4.64.14.84.24.8Missionary Expediters & Cargo
    3Focus Digital4.24.34.54.34.8Bowker Transport
    4Driven Metrics4.44.04.44.34.7AutoStar Transport Express
    5Virayo3.84.53.93.84.8Truckstop, Onfleet, TruckLabs
    6Elevation Marketing3.24.73.54.54.3Chasewater Industries, Caterpillar, GE

    1. First Page Sage

    We found that two qualities separate First Page Sage from the rest of the field. First, the agency has spent nearly two decades working with freight carriers, third-party logistics firms, and supply chain providers. Second, its president, Evan Bailyn, pioneered GEO as a service in 2023, before most agencies had begun determining how to optimize content for AI.

    Those advantages help explain why First Page Sage is the only agency in our ranking to earn a 5.0 for GEO/AEO Expertise. Its AI Visibility score of 4.9 also leads the field by a meaningful margin.

    We were particularly impressed by the agency’s depth of freight and logistics content across asset-based carriers, third-party logistics providers, freight technology platforms, and supply chain consultancies. The work is designed to strengthen clients’ reputations and generate qualified leads by getting those companies named when shippers and brokers ask AI platforms for recommendations. For transportation and logistics providers comparing GEO/AEO partners, we believe this combination of industry knowledge and GEO expertise puts First Page Sage in a category of its own.

    • AI Visibility: 4.9
    • T&L Specialization: 4.6
    • GEO/AEO Expertise: 5.0
    • Notable Clients: iGPS, Montway Auto Transport, BKM Transport, Summa Energy
    • Leadership Experience: 4.8
    • Average Review Score: 4.9

    What We Found in Online Reviews

    One freight technology client said the team “got us showing up when brokers ask ChatGPT for recommendations.” Another reported that “leads actually started coming in around month four.” We also noticed that several reviewers had continued working with the agency for years.

    2. Genevate

    Founded in 2025 by PR and communications leader Brett Kleinberg, Genevate was built specifically for the generative AI era instead of being retrofitted from an older SEO model. We found its approach especially interesting because the team considers not only whether AI platforms mention a company, but also whether they describe that company accurately.

    Genevate uses strategic PR and citation building to influence how AI platforms characterize a brand, helping the company appear as the specialist it truly is. In our view, this focus addresses an important part of GEO/AEO that many agencies overlook.

    We should note that Genevate is a newer agency, so its portfolio is still developing, which is reflected in its Leadership Experience score. Even so, we consider it a strong fit for logistics companies that want GEO support and are comfortable partnering with a newer firm.

    • AI Visibility: 4.6
    • T&L Specialization: 4.1
    • GEO/AEO Expertise: 4.8
    • Notable Clients: Missionary Expediters & Cargo
    • Leadership Experience: 4.2
    • Average Review Score: 4.8

    What We Found in Online Reviews

    Clients describe Genevate as a company that “makes sure AI actually describes us right, not just that we show up.” We also found a few clients who pointed out that the agency is “still pretty new, so their portfolio’s thinner than other options.”

    3. Focus Digital

    We see Focus Digital as an appealing option for smaller transportation companies that want an enterprise-level GEO/AEO methodology without the pricing of a larger agency. Clients receive founder-level attention, straightforward reporting, and realistic timelines. That makes the agency a particularly good fit for regional carriers, smaller freight brokers, and supply chain firms that still want visibility in AI-generated results.

    The trade-off, in our assessment, is industry coverage. Focus Digital deliberately maintains a narrow scope, while its case study portfolio leans toward professional services, manufacturing, and home services. We recommend that transportation clients carefully review industry-specific content for accuracy before publication.

    • AI Visibility: 4.2
    • T&L Specialization: 4.3
    • GEO/AEO Expertise: 4.5
    • Notable Clients: Bowker Transport
    • Leadership Experience: 4.3
    • Average Review Score: 4.8

    What We Found in Online Reviews

    Focus Digital clients appreciate that the team is “straight with us about what is realistic.” One client said they began to “show up in AI answers within a few months.” We also saw reviewers caution that “replies slow down when they’re busy.”

    4. Driven Metrics

    Driven Metrics offers what we consider an enterprise-grade GEO/AEO framework at a price that growth-stage companies can manage. Its operating model emphasizes weekly meetings, transparent reporting, and conversion tracking instead of relying solely on raw traffic. As a result, content that fails to earn citations or generate leads can be identified and revised quickly.

    For a logistics company seeking disciplined, high-end GEO/AEO execution without a large-agency price tag, we believe that combination is difficult to find elsewhere.

    We did identify a couple of considerations. Driven Metrics has respectable transportation and logistics experience, but its client base is still growing. Its depth within a particular freight category or logistics model may therefore be thinner than that of a more established agency. We believe transportation companies will get the best results by investing time upfront to explain their operational models, helping the team create content that accurately reflects how buyers in each niche search.

    • AI Visibility: 4.4
    • T&L Specialization: 4.0
    • GEO/AEO Expertise: 4.4
    • Notable Clients: AutoStar Transport Express
    • Leadership Experience: 4.3
    • Average Review Score: 4.7

    What We Found in Online Reviews

    One client said, “We got results with no excuses, which was refreshing.” Another appreciated that the team “got timely reporting.” However, we also found comments about the agency’s “more limited transportation experience.”

    5. Virayo

    We found that Virayo has a strong marketing track record with freight and logistics companies. The agency published a case study with specific traffic and lead figures from its work with Truckstop, one of North America’s largest load boards. It has also delivered results for TruckLabs and the last-mile platform Onfleet.

    That experience matters for GEO/AEO because the authority and citation work that helped these clients earn organic rankings can also help them appear when brokers and carriers ask AI tools for recommendations.

    In our assessment, Virayo still leans more heavily toward SEO than GEO/AEO, and transportation clients compete for attention alongside a broad B2B SaaS roster. Nevertheless, we consider it a strong choice for logistics and freight technology companies seeking proven search fundamentals supported by a credible and expanding AI layer.

    • AI Visibility: 3.8
    • T&L Specialization: 4.5
    • GEO/AEO Expertise: 3.9
    • Notable Clients: Truckstop, Onfleet, TruckLabs
    • Leadership Experience: 3.8
    • Average Review Score: 4.8

    What We Found in Online Reviews

    A transportation software client called the Virayo team “super responsive and easy to work with.” We also found a reviewer who said its work “leans more toward SEO than strong AI strategy.”

    6. Elevation Marketing

    Elevation Marketing has served B2B transportation and logistics clients for more than two decades. Based on our review, that longevity makes the vertical a core part of its practice rather than an adjacent service. The agency operates a dedicated trucking and logistics offering and brings substantial leadership depth. President Scott Miraglia has held COO and CFO positions at a major regional agency and has helped place companies on the Inc. 5000 list five times.

    We found, however, that Elevation is still developing its GEO and AEO services. Its established toolkit centers on account-based marketing, demand generation, and integrated B2B campaigns, while its AI practice is newer than those core offerings.

    Companies primarily focused on maximizing citation volume may find a better fit elsewhere. For a transportation company that wants an experienced, full-service B2B partner with genuine freight knowledge, however, we believe Elevation remains a compelling option.

    • AI Visibility: 3.2
    • T&L Specialization: 4.7
    • GEO/AEO Expertise: 3.5
    • Notable Clients: Chasewater Industries, Caterpillar, GE
    • Leadership Experience: 4.5
    • Average Review Score: 4.3

    What We Found in Online Reviews

    Clients say the agency “actually get how B2B buyers think.” A few reviewers felt it was “pricier than the smaller shops we looked at,” although most emphasized that “nothing felt cookie-cutter.”

    Source


    Inspired by this post on First Page Sage Blog.


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  • How I See Profound MCP Reshaping AI Shopping in Retail

    How I See Profound MCP Reshaping AI Shopping in Retail

    Profound MCP evolution

    I see Profound’s MCP evolution as a meaningful shift for Marketing Engineers. It now connects agents to a knowledge graph and adds 15 new capabilities built around how marketing teams actually work.

    For retailers, I believe this demands a serious reframe. Answer engines are already shortlisting products and shaping purchase decisions long before shoppers ever land on retail or ecommerce websites. That compresses the shopping funnel and makes traditional search less reliable as the primary channel for customer acquisition.

    Image

    Instead of waiting for shoppers to arrive through search, I need to think about how retailers can be recommended throughout the entire shopping journey. That means understanding how people use answer engines for Christmas gifting, how brands earn mentions and citations in relevant AI responses, and how visibility can be maximized across AI search experiences.

    Image

    I see this report as a practical edge for retailers preparing for the next holiday cycle. It uses real shopper behavior from Christmas 2025, analyzed through Profound’s AI visibility lens, to show how people are using AI to shop for the holidays.

    Most importantly, it turns those insights into actionable takeaways. By understanding where answer engines influence discovery, comparison, and purchase decisions, I can see how ecommerce teams should optimize product visibility before the 2026 season ramps up and compete more effectively for the AI shelf this Christmas.


    Inspired by this post on Try Profound Blog.


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  • How AI Search Is Reshaping Travel Brand Visibility

    How AI Search Is Reshaping Travel Brand Visibility

    I’m seeing travel planning move away from the traditional search bar and into AI answer engines like ChatGPT. For most of the past two decades, a traveler would type a destination-focused keyword into Google, open a dozen tabs, and stitch together a trip one page at a time.

    Now, that same traveler can ask a question, keep the conversation going, and let the answer engine synthesize recommendations, compare options, or even help book the trip. The journey from curiosity to decision is becoming faster, more conversational, and far less dependent on traditional search results.

    I believe this shift is rewriting how travelers discover brands. Visibility is no longer only about winning top-ranked blue links in Google. Increasingly, it depends on earning mentions, citations, and trust inside AI-generated answers.

    For travel brands, that changes the competitive landscape. The companies that show up in AI search are the ones most likely to shape the itinerary, influence the booking decision, and ultimately win the trip.


    Inspired by this post on Try Profound Blog.


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  • Goodie vs. Semrush: A Smarter AEO Platform Comparison

    Goodie vs. Semrush: A Smarter AEO Platform Comparison

    When I compare Goodie and Semrush for AI search visibility, I’m looking beyond traditional SEO dashboards. I want to understand how each platform supports answer engine optimization, from monitoring AI visibility to improving the signals that influence AI-generated answers.

    AEO analytics dashboard showing actions, visibility score, share of voice, brand mentions, sessions, conversions, and impressions metrics.
    A modern AEO performance dashboard brings AI search visibility, brand mentions, traffic attribution, and revenue signals into one measurement view.

    For me, the key difference comes down to focus. Goodie is built around AEO monitoring, optimization, agentic commerce, and revenue attribution, while Semrush brings the depth of a broader SEO and competitive research platform.

    Semrush SEO dashboard showing position tracking, site audit, on-page SEO ideas, backlink audit, keyword visibility and toxic backlinks.
    A Semrush project dashboard brings SEO health into one view, from keyword rankings and site audit trends to optimization ideas and backlink toxicity signals.

    In this comparison, I look at how both platforms help brands get discovered, cited, and recommended across AI search experiences, and how each one connects visibility to measurable business impact.


    Inspired by this post on HiGoodie Blog.


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  • The 6 Best Agentic SEO Companies to Watch in 2026

    The 6 Best Agentic SEO Companies to Watch in 2026

    Agentic SEO is the newest branch of search optimization, and I see it as one of the most important shifts marketers need to understand now. Instead of focusing only on traditional search rankings, agentic SEO is about earning visibility, trust, and conversions inside agentic search platforms such as ChatGPT Agent and Claude CoWork. Many marketers expect it to become a major acquisition channel by 2027.

    To identify the top agentic SEO companies, I evaluated 38 firms in Q2 2026 and scored each one across five weighted factors.

    • AI Visibility Score (30%): How often an agency’s clients appear in AI citations.
    • SEO, GEO & ASO Expertise (25%): The depth of an agency’s approach to SEO (Search Engine Optimization), GEO (Generative Engine Optimization), and ASO (Agentic Search Optimization).
    • Notable Clients (20%): The recognizable brands an agency has worked with.
    • Average Review Score (15%): Direct client satisfaction feedback.
    • Leadership Experience Score (10%): How long senior staff have worked in the search optimization industry.

    After reviewing the data, I found six companies that stood out from the rest. Below, I break down each agency’s strengths, specialty, scores, and client review themes.

    The Top Agentic SEO Companies of 2026

    RankAgencyAI Visibility ScoreSEO, GEO, & ASO ExpertiseNotable ClientsAverage Review ScoreLeadership Experience ScoreSpecialty
    1First Page Sage4.95.0Salesforce, Logitech, US Bank4.94.8Agentic SEO & GEO
    2Genevate4.64.8ZipRecruiter, CBRE, Talentfoot4.84.2GEO-First Search Optimization
    3Driven Metrics4.44.4AutoStar Transport Express, Dignity Health, Affirmed Home Care4.74.3Results-focused SMB SEO with GEO capabilities
    4Seer Interactive4.24.8LinkedIn, Intuit, Capital One, Autodesk4.24.8Enterprise-scale SEO and analytics
    5Omniscient Digital4.24.5Hotjar, Smartling, Loom4.84.2Content-Led Organic Growth
    6Go Fish Digital3.94.5Jelly Belly, Ruffwear, Joybird5.04.5Technical GEO & Citations

    First Page Sage

    I ranked First Page Sage first because it is the only firm on this list with a dedicated agentic SEO practice. Its work is built on a commercial GEO methodology the firm has been running since 2023. I also like that its offering connects SEO, GEO, and Agentic SEO into one integrated program, so clients do not need separate teams managing traditional organic search and agentic AI visibility.

    First Page Sage’s approach focuses heavily on content, thought leadership, on-site authority, and independent third-party coverage. These are the kinds of signals AI models often draw from when evaluating whether a brand should be cited, recommended, or included in a comparison. Its Agentic SEO and GEO work also helps clarify how major models position a client at the comparison stage, including content that explains who a product is for and reduces the ambiguity that can cause AI agents to skip a vendor.

    In one campaign, a skincare brand’s AI sentiment score rose 4 points across tracked models in roughly 14 weeks, and agents recommended the brand more often across the board. I see this approach as especially strong for considered-purchase categories such as B2B software, financial services, and healthcare, where AI endorsement can influence which vendors make a buyer’s shortlist.

    • AI Visibility Score: 4.9
    • SEO, GEO & ASO Expertise: 5.0
    • Notable Clients: Salesforce, Logitech, US Bank
    • Average Review Score: 4.9
    • Leadership Experience Score: 4.8
    • Specialty: Agentic Search Optimization & GEO
    • Contact: First Page Sage

    Summary of online reviews: In client feedback, First Page Sage’s Agentic SEO work is described as “incredibly innovative and well-executed,” with reviewers saying the agency has “become a game-changing part of [their] marketing strategy.” Several clients also say the team “helped [them] gain a first mover advantage within [their] industry” and describe staff as “extremely detail-oriented and communicative.”

    Genevate

    I ranked Genevate second because it is one of the few firms built specifically for the generative-search era. Genevate focuses on the external signals large language models pull from, including media placements, authoritative third-party mentions, and a consistent brand narrative across the web. By combining GEO with digital PR, the firm helps shape how ChatGPT, Perplexity, and Claude describe and recommend a brand to prospective buyers.

    The main limitation I found is Genevate’s shorter track record. Founded in 2025, it has one of the briefest operating histories on this list, and its scope is intentionally narrow. The firm focuses on GEO and reputation management rather than broader agentic search or traditional SEO. For brands that already have media momentum and want tighter control over their AI narrative, that focus can be an advantage. For companies that need a wider service mix, I would weigh that limitation carefully.

    • AI Visibility Score: 4.6
    • SEO, GEO & ASO Expertise: 4.8
    • Notable Clients: ZipRecruiter, CBRE, Talentfoot
    • Average Review Score: 4.8
    • Leadership Experience Score: 4.2
    • Specialty: GEO-First Search Optimization
    • Contact: Genevate

    Summary of online reviews: Early clients describe Genevate as a “responsive partner” with a strong grasp of “how AI platforms describe and recommend brands,” and they speak positively about the firm’s “PR-led approach.” Teams looking for a full-service marketing partner “may find the offering is best paired with separate performance marketing.”

    Driven Metrics

    I see Driven Metrics as a strong fit for small and mid-sized businesses that want disciplined SEO and GEO without the cost structure of a larger agency. Its methodology starts with buyer intent, mapping each keyword to a funnel stage instead of chasing search volume alone. From there, the firm produces content across landing pages, pillar articles, guides, FAQs, and other formats while also handling the technical work needed to keep a site indexable and ready for generative AI systems.

    Because Driven Metrics is a younger and smaller firm, I would place it in a different category than the larger enterprise agencies on this list. Its GEO work appears credible and structured, but its operating history is shorter and its client base leans more mid-market than enterprise. For growth-stage companies that want a practical SEO and GEO foundation, it is a natural starting point.

    • AI Visibility Score: 4.4
    • SEO, GEO & ASO Expertise: 4.4
    • Notable Clients: AutoStar Transport Express, Dignity Health, Affirmed Home Care
    • Average Review Score: 4.7
    • Leadership Experience Score: 4.3
    • Specialty: Results-focused SMB SEO with GEO capabilities
    • Contact: Driven Metrics

    Summary of online reviews: Clients appreciate Driven Metrics’ “clear, well-constructed process” and describe the team as “communicative and easy to work with.” Reviewers also note that the agency has “a limited track record and few documented wins to point to,” and that buyers from larger firms “may find the experience underwhelming.”

    Seer Interactive

    I ranked Seer Interactive highly because it brings more than two decades of SEO experience into AI search. Data is the center of its model. The firm runs large-scale analyses to identify where clients should focus, then builds content and technical improvements around what the numbers show. Seer has also packaged its GEO offering as a defined product and has published AI search experiments since 2023, with work cited by Search Engine Land, Semrush, and Ahrefs.

    On the technical side, Seer is especially useful for enterprise-scale problems that smaller agencies may struggle to handle. That includes large site architectures, technical markup at scale, and measurement systems that track how a brand appears in AI answers across thousands of pages.

    The tradeoff is that Seer’s breadth can dilute specialization. Most of its case studies focus on traffic and conversions rather than pipeline or revenue, and the full-service model spreads senior attention across many client needs. I would consider Seer a strong fit for larger organizations that want AI search handled alongside a broader SEO program, but not necessarily for buyers who want a dedicated agentic specialist above all else.

    • AI Visibility Score: 4.2
    • SEO, GEO & ASO Expertise: 4.8
    • Notable Clients: LinkedIn, Intuit, Capital One, Autodesk
    • Average Review Score: 4.2
    • Leadership Experience Score: 4.8
    • Specialty: Enterprise-scale SEO and analytics
    • Contact: Seer Interactive

    Summary of online reviews: Clients credit Seer with “deep analytical horsepower and senior, experienced teams,” and they value its “measurement-first approach.” The process is also described as “thorough, but slow,” and “lean teams wanting quick turnarounds will feel it.”

    Omniscient Digital

    I view Omniscient Digital as the content-led choice on this list. The agency builds GEO around editorial quality, original expertise, and the brand and author authority signals AI models consider when selecting sources to cite. Its work also includes digital PR, machine-readable markup, and tracking across major LLMs as part of each engagement.

    The downside is that this kind of editorial depth takes time. Results may build more gradually than they would with a narrow technical fix. Engagements also start at around $10,000 per month, with no self-serve option, which puts Omniscient out of reach for many earlier-stage teams. The firm also shares relatively little about its GEO methodology publicly, so buyers have limited visibility into exactly how citations are tracked and improved.

    For well-funded B2B software companies that want to own the language of their category, I think Omniscient can be a strong option. For teams with tighter budgets or urgent timelines, the ramp-up period and pricing are important considerations.

    • AI Visibility Score: 4.2
    • SEO, GEO & ASO Expertise: 4.5
    • Notable Clients: Hotjar, Smartling, Loom
    • Average Review Score: 4.8
    • Leadership Experience Score: 4.2
    • Specialty: Content-Led Organic Growth
    • Contact: Omniscient Digital

    Summary of online reviews: Clients praise Omniscient for “editorial-quality writing and thoughtful, well-scoped strategy.” Some also note that the work is “slow to ramp.”

    Go Fish Digital

    I included Go Fish Digital because it brings a long technical SEO history into the GEO conversation. The agency built its GEO practice around Barracuda, a proprietary AI platform that scores pages against the signals AI systems use to evaluate and cite sources. Go Fish maps how AI interprets a site’s coverage, then improves machine-readable markup, authority signals, and fact density to make a brand more likely to appear in AI answers.

    The biggest limitation I found is the lack of published GEO-specific results. That is common in such a new field, but it still matters when comparing providers. I would consider Go Fish Digital a good fit for established brands that want a technical, platform-backed AI search approach from an agency with a longer operating history.

    • AI Visibility Score: 3.9
    • SEO, GEO & ASO Expertise: 4.5
    • Notable Clients: Jelly Belly, Ruffwear, Joybird
    • Average Review Score: 5.0
    • Leadership Experience Score: 4.5
    • Specialty: Technical GEO & Citations
    • Contact: Go Fish Digital

    Summary of online reviews: Reviewers consistently praise Go Fish Digital’s “full-package capability” across technical SEO, content, and PR, and call the team “responsive and well-organized.” The clearest gap is GEO proof: “the process is clearly defined, but public results in AI search are still thin,” which reflects how new the practice remains.

    The Top Agentic AI Optimization Companies by Specialty

    I also compared these leading agentic AI optimization companies by buyer segment, since the right agency depends heavily on company size, budget, and search maturity.

    Top 5 for Enterprise Organizations

    1. First Page Sage
    2. Genevate
    3. Seer Interactive
    4. Omniscient Digital
    5. Go Fish Digital

    Top 5 for B2B Software & SaaS Companies

    1. Seer Interactive
    2. First Page Sage
    3. Genevate
    4. Driven Metrics
    5. Omniscient Digital

    Top 5 for Growth-Stage & Mid-Market Businesses

    1. First Page Sage
    2. Driven Metrics
    3. Genevate
    4. Omniscient Digital
    5. Go Fish Digital

    Source


    Inspired by this post on First Page Sage Blog.


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  • Travel AI Optimization Strategies That Get Cited

    Travel AI Optimization Strategies That Get Cited

    I’m seeing a major shift in how people plan trips: 40% of travelers now use AI to research, compare, and organize their travel decisions.

    That changes how I think about travel content. It is no longer enough to write only for traditional search results. I also need to make content clear, useful, and easy for AI systems and large language models to understand, summarize, and cite.

    In this guide, I focus on practical travel AI optimization strategies, including stronger FAQs, schema markup, topical authority, and a content strategy built around the questions real travelers ask.

    My goal is simple: create travel content that answers intent directly, builds trust, and gives AI platforms the structured context they need to reference my brand when travelers are planning their next trip.


    Inspired by this post on HiGoodie Blog.


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  • Paid Brand Mentions in GEO: The Risky Trap I See

    Paid Brand Mentions in GEO: The Risky Trap I See

    GEO brand trap

    As traditional SEO shifts toward GEO, I keep seeing one idea gain momentum: visibility in AI search depends heavily on off-site brand mentions. Because of that, marketers are being pushed to look beyond on-site content and invest more heavily in off-site marketing if they want to show up in AI answers.

    I agree that off-site signals matter more in AI search, and there is growing industrywide consensus around that point. The problem is that this shift has also created room for opportunists to repackage shady SEO tactics as legitimate GEO work.

    Unfortunately, I believe much of what is being sold under the GEO umbrella is unethical, low quality, and potentially fraudulent.

    The deception I see under the GEO umbrella

    I have personally audited the work of top-rated GEO vendors that offer brand mention outreach services. What I found was not sophisticated digital PR or thoughtful reputation building. I found providers charging premium prices for questionable work that often looks like paid link building with new packaging.

    The first tactic I see is vendors using “research studies” to support their sales narrative. Claims such as “X% of AI visibility is driven by third-party sources” can be stripped of context and used to convince marketers that they need an aggressive, high-volume system for manufacturing brand mentions.

    I also see these programs framed as “partnership” building. During the sales process, GEO vendors may describe the work as a way to build relationships with other brands. In practice, many of the so-called opportunities are low-quality paid-placement inventory schemes.

    Some vendors are selling PBN brand mentions, placing brands on Private Blog Networks for roughly 10 to 15 times the cost of a typical SEO backlink. Others sell topically irrelevant placements on sites that might publish one page about LMS software and another listicle about crypto wallets.

    I have also seen Reddit astroturfing presented as GEO work. Agencies use aged accounts to mass-post brand mentions across irrelevant subreddits, and many of those “mentions” are removed within 30 days because they violate community guidelines.

    Image

    When I look at what some GEO outreach vendors are pitching, I see an evolution of black hat link building. It is unethical, and it amounts to an attempt to manipulate AI systems.

    I see clients being asked to approve paid mentions

    I have seen this happen in Slack. The agency creates a “placement opportunity” for approval, and an internal marketing liaison has to review it. Often, that person is a junior specialist who has not been trained to evaluate whether the referring page is legitimate.

    The pitch usually includes a prompt topic, domain authority, citation rate, and publisher placement fee. In one example I reviewed, the fee was $250 in exchange for adding the brand mention.

    I also see publisher fees added on top of agency retainers

    This is the part I think deserves much more scrutiny. The GEO vendor may pay the publisher fee directly, then invoice the client to recover the cost. That means the client is not only paying the agency retainer, but also funding the paid mention itself.

    Why I think volume without relevance creates risk

    My view is simple: third-party validation is only valuable when it comes from credible, topically relevant brands. A mention is not automatically useful just because it exists somewhere on the web.

    Many GEO vendors argue that AI visibility is a “volume game.” They claim that generating a large number of mentions will meaningfully increase a brand’s “mention rate” in AI answers. I think that framing misses the point.

    When vendors treat GEO as a mention-rate, citation-rate, and volume problem, they often ignore the quality and relevance of the source. That is a serious flaw, especially when reputation is central to how brands are understood online.

    Image

    In one example, I saw a page with several outgoing commercial anchors to LMS software vendors. To me, that is a hallmark signal of paid links. If GEO is a reputation problem, I would not want my brand mentioned on a page loaded with paid links to competitors.

    Why inauthentic brand mention spam may only work temporarily

    I think some spammy GEO tactics appear to work right now because many LLM citation systems are still immature compared with Google’s advanced spam detection. It is possible that some LLMs currently reward mention volume from low-quality sources that Google would normally ignore.

    That creates a temporary window of effectiveness, perhaps one to two years, before AI platforms improve their authority and spam signals. I believe marketers who prioritize high-volume mentions over brand safety risk confusing LLMs about their entity and damaging their reputation.

    Lily Ray’s view aligns with this concern. She argues that some GEO and AEO companies lack the experience to anticipate how Google and AI platforms may treat their tactics once stronger countermeasures are built into training data, indexes, and results.

    She also points back to the first Penguin update in 2012, when Google began suppressing inorganic links. In that context, paid mentions on low-quality sites look like another evolution of spammy link building, and I think it is naive to assume search and AI platforms will not eventually catch on.

    The unnecessary risk I see GEO vendors creating

    This type of work can cause real damage. Glenn Gabe has described it as an evolution of paid link schemes, and I think that description fits what many marketers are being sold.

    Marketing leaders are not just wasting time and money. They may be buying tactics that disappear, damage brand reputation, confuse LLMs about their entity, and pull resources away from more durable marketing work.

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    There may also be legal risk. The FTC says paid advertisements must include clear disclosures. Yet after paid or “negotiated” brand mentions are added to content pages, many websites do not update those pages to disclose that the placements were sponsored.

    How I evaluate GEO vendor claims about off-site mentions

    When I evaluate GEO vendors, I start with one basic concern: many prioritize mention volume over source quality. That does not mean every off-site mention strategy is bad, but it does mean the claims deserve pressure testing.

    If a vendor claims that most AI brand discovery comes from third-party sources, I ask whether that actually proves paid or negotiated low-quality mentions cause a brand to appear more often in AI answers. In my view, it does not.

    If a vendor says listicles and third-party pages are the main lever, I ask whether that supports paying to appear on thin, irrelevant, AI-generated listicles. Again, I do not think it does.

    If a vendor argues that AI search is different and traditional SEO quality judgment no longer applies, I push back. Google says the opposite for its AI search features: SEO best practices still matter, there are no special optimizations required for AI Overviews or AI Mode, and pages still need to follow Search policies.

    More broadly, I do not see substantial evidence that adding a paid mention to a cited page will make a brand appear more often, that low-quality long-tail publishers improve AI search visibility, that citation rate beats source quality, or that traditional SEO and brand safety principles are obsolete in AI search.

    Paying for “25 brand placements” to chase a “10-15% mention-rate lift” is not how I think marketers should approach AI search. I would rather pursue off-site mentions that reflect genuine category validation from trusted businesses, reputable publishers, and real communities.


    Inspired by this post on Search Engine Land.


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  • AI Search Parrot Problem: Why Brands Get Misread

    AI Search Parrot Problem: Why Brands Get Misread

    AI search brand visibility analysis

    I believe your brand may already be getting misrepresented in AI search, and the hard part is that you might not even know it is happening.

    When I looked at how AI search responses behave, one pattern stood out immediately: nearly half of AI responses include unsolicited comparisons, opinions, and recommendations that the user never directly asked for.

    That creates a second dimension marketers cannot afford to ignore. It is not just whether AI systems mention your brand. It is how they frame your brand, what they compare it against, and which assumptions they repeat back to users.

    To understand the scale of the problem, I analyzed 50,000 prompts across seven industries. I wanted to see when AI search stays factual, when it adds its own judgment, and how often brands are pulled into recommendations or comparisons without the user asking for them.

    What I found shows why AI visibility is no longer only about being included in the answer. It is also about making sure the answer represents your brand accurately, fairly, and in the right context.

    In this article, I break down what I found, why this “parrot problem” matters for marketers, and what you can do to protect your brand as AI search becomes a bigger part of the customer journey.


    Inspired by this post on Try Profound Blog.


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  • AI Search Content Structure: Boost Brand Discovery

    AI Search Content Structure: Boost Brand Discovery

    How to structure content for AI search and brand discovery

    I structure content for AI search by making every page clear, credible, and easy for answer engines to understand. That means I do not rely on keywords alone. I combine strong SEO fundamentals with topical authority, earned media, and answer-first formatting so AI systems can recognize what my brand knows, where it is trusted, and why it should be surfaced in relevant responses.

    When I think about AI visibility, I focus on discovery from the start. I want my content to answer real questions directly, connect related topics naturally, and support each claim with signals that build confidence. This approach helps improve how my brand appears across AI search experiences, traditional search results, and emerging discovery platforms.

    For me, the goal is simple: create content that is useful for people and understandable for machines. By organizing information around intent, authority, and clarity, I make it easier for AI tools to cite, summarize, and recommend my brand when users are looking for trusted answers.


    Inspired by this post on HiGoodie Blog.


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  • Why I’m Watching the Profound Index for AI Visibility

    Why I’m Watching the Profound Index for AI Visibility

    I’m introducing the Profound Index as a new way to understand AI visibility. It is the first leaderboard built to rank brands by how often they appear in answers from leading AI models.

    For me, this matters because visibility is shifting beyond traditional search results. As more people rely on AI-generated answers, I want a clearer way to see which brands are being mentioned, recommended, and surfaced across the AI platforms shaping discovery.


    Inspired by this post on Try Profound Blog.


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