![\"Bing](\"https://cdn.buttercms.com/kFdfdvwhQaKbCvrwB66r\")
Most marketers chasing AI visibility are focused on a few top platforms: ChatGPT, Google's AI Overviews, and Perplexity, for example. Microsoft Copilot rarely makes the list, despite Copilot surpassing 100 million monthly active users across Windows, Edge, Microsoft 365, and Bing.
\nIn February 2026, Bing Webmaster Tools launched AI Performance, a native dashboard showing how and when your content gets cited in Copilot and AI-generated Bing answers. It tracks which pages are being referenced, the queries that triggered those citations, and how citation volume shifts over time.
\nIn this guide, I’ll show you how to grow your LLM visibility by learning how to read Bing’s data, identify gaps in your coverage, build content that Copilot is more likely to cite, and use trend research to get ahead of the topics your competitors haven't touched yet.
\nAI Performance is a free reporting dashboard inside Bing Webmaster Tools, launched in February 2026.
\nIt gives website owners their first look at how content is cited across Microsoft's AI experiences—specifically Microsoft Copilot, AI-generated summaries in Bing, and select partner AI integrations.
\nBefore this, publishers had no direct way to measure their Copilot visibility. You could track traditional Bing search performance, but citations in AI-generated answers were completely invisible. AI Performance changes that by showing you four types of data:
\nOne important note: citations are not clicks. A citation means your content was visibly referenced in an AI-generated answer, not necessarily clicked on. These metrics are designed for trend analysis and visibility benchmarking, not as a replacement for traditional performance data.
\n[cta:trends]
\nLog into Bing Webmaster Tools, select your verified property, and open the “AI Performance” dashboard:
\nYou'll see citation data for the past 3 months by default, with options to view 7 days, 30 days, or a custom range.
\nTo read and gain insights from the report:
\n![\"The](\"https://cdn.buttercms.com/f7ZTMKsT12aDIpn70paw\")
![\"The](\"https://cdn.buttercms.com/I91tXB6ERMaaPta7Gbu7\")
Once you understand where you’re currently being cited, the next step is identifying where you’re not showing up.
\nLet’s take a look at how to find gaps in your citation coverage.
\nYour cited pages and grounding queries help you figure out where Copilot already trusts your content. The gaps (topics in your niche that aren't appearing in your grounding queries report) are where you have room to grow.
\nHere are a few ways to find those growth opportunities:
\nIf you publish broadly about a topic but only a narrow slice of it shows up in the dashboard, that's a signal your content in those other areas lacks the depth or clarity AI systems need to cite it confidently.
\nI’ll go over writing great content for AI citations in the next section.
\nIf a grounding query like \"email automation\" appears but \"email automation for small businesses\" doesn't, you may have a coverage gap at the subtopic level. AI systems cite content that matches query intent closely, so broad coverage of a topic doesn't guarantee visibility across all the related, more niche questions users ask.
\nPages that are indexed and receiving traditional search traffic but never appearing in citations might share some of these characteristics: they're thin on specifics, structured for reading rather than referencing, and/or covering topics with strong competition from other authoritative sources. These pages are candidates for a content audit before you create anything new.
\nThink you need to create new content (or update existing content) in order to show up in Copilot for more topics?
\nNext, I’ll give you a few tips for creating the types of content that Copilot wants to cite.
\nContent that gets cited in AI-generated answers is:
\nTo create content like that, follow these guidelines.
\nAI systems frequently pull from the opening sentences of a section, so front-load your main point rather than building toward it.
\nExample: A section about project management software that starts with \"Project management software helps teams track tasks, deadlines, and dependencies\" is more citable than one that opens with background context.
\nHeadings that are clear and descriptive give AI systems an explicit signal about what the section covers. Vague or clever headings make it harder for the model to match your content to a grounding query.
\nExample: Go with \"How to Set Up Email Automation for Ecommerce\" over “Getting Started” to begin your tutorial.
\nQuestion-and-answer formatting matches how users prompt AI tools. A clear question followed by a concise, self-contained answer is exactly the kind of chunk Copilot can cite accurately.
\nExample:
\n[Heading] What are the best books for small business owners?
\nThe best books for small business owners are…
\nData points, named examples, and cited sources make content more trustworthy as a reference. Vague assertions get passed over by Copilot and other LLMs in favor of content that gives AI something concrete to trust.
\nExample: According to Semrush research, AI search visitors are projected to surpass traditional search visitors by early 2028. Some industries may see this tipping point even sooner.
\nOutdated information gets deprioritized as AI systems favor fresher sources. If a cited page starts losing citation volume, a content refresh is often more effective than creating a new page on the same topic.
\nWhen you do update content, consider telling Bing to crawl it right away. To do that, use the “Request Indexing” button inside Bing’s URL Inspection tool:
\nNow you know how to identify content gaps and create the kind of content Copilot and other LLMs will want to cite.
\nThe next step in gaining more visibility in Copilot involves being really strategic with the content you’re adding to your website.
\nCreating citable content improves your chances of being referenced, but one-off articles can only take you so far. To scale your visibility across related queries, you need to expand that authority outward using topic clusters.
\nYour most-cited pages are typically your strongest starting point for expanding AI visibility. If Copilot already cites a page, that’s a sign that your content has established credibility on that topic. You can take advantage of that credibility by building out your content strategically—in topic clusters.
\nTopic clusters are a group of interlinked pages that cover a broad subject and its subtopics in depth, signaling to both search engines and AI systems that your site has far-reaching authority in that area.
\nHere are a few tips for creating successful topic clusters that boost your visibility in Copilot and other LLMs:
\nFirst, treat each cited page as a hub. Map out the subtopics, related questions, and adjacent concepts that surround it. A cited page on \"home office setup\" can anchor a cluster covering ergonomic desk chairs, monitor placement, lighting for video calls, and productivity tools for remote workers. Each supporting page deepens your topical authority and gives AI more of your content to draw from when answering related queries.
\nThen, match new pages to grounding query gaps. Go back to your Grounding Queries data in the AI Performance dashboard and think about phrases that are close to your cited topics but not yet appearing. Those are the subtopics your cluster is missing.
\nWriting directly to fill those gaps increases the likelihood that your new content will get pulled into citations on related queries.
\nNext, link cluster pages to each other deliberately. Internal links help both search engines and AI systems understand the relationship between your topics and pages. A cluster that's well-connected helps LLMs and search engines understand your widespread topical coverage.
\nFinally, prioritize depth over volume. Instead of focusing on publishing a lot of thin content on every subtopic, take your time and cover topics with thoughtful, in-depth, well-researched pieces. AI systems typically cite this type of content that fully addresses a question rather than just touches on it.
\nSo far, you’ve been working on expanding visibility based on existing citation data. But to get ahead, you need a way to identify topics before they show up in your dashboard.
\nIn the AI Performance dashboard, the Grounding Queries data tells you where you have visibility today. It doesn't tell you about the topics that are quietly gaining momentum in your industry that you might be able to grab Copilot visibility around tomorrow.
\nBut Exploding Topics will.
\nThe Exploding Topics Trends Database tracks over 1.1 million trends across industries, surfacing topics before they hit the mainstream. For your AI visibility strategy, finding emerging topics can be a huge win because getting cited early is significantly easier than trying to displace established sources once a topic is saturated.
\n[list=topic number=5 category=all]
\nTo find emerging topics in your niche, start with the Trends Database. Filter by your industry category and sort by growth stage.
\nTopics categorized as \"Exploding\" or \"Peak\" with relatively low existing content competition are your best opportunities—you can publish authoritative content while the competition is still fairly low.
\nNext, map trends to your grounding query themes. Cross-reference emerging topics against the grounding query themes already appearing in your AI Performance dashboard. A trend that's adjacent to a topic you're already being cited for is lower-risk, because you're expanding authority in an area where Copilot already recognizes your site, rather than starting from scratch.
\nMake sure to also take a look at the Meta Trends report. This section groups individual trends into bigger related clusters:
\nIf you find a meta trend that aligns with your industry, the trends within it are ready-made cluster topics. Each one is a candidate for a new page targeting an emerging grounding query.
\nPublishing on a trend three to six months before it peaks gives your content time to get indexed, earn citations from other sources, and build the credibility signals AI systems use when deciding what to cite.
\nYou now have a system: measure your visibility, identify gaps, build citable content, expand authority through clusters, and get ahead of emerging topics.
\nMarketers are excited about Bing’s AI Performance because it gives you something that didn't exist until recently: a direct window into how Microsoft's AI ecosystem uses your content. If you act on that data early, your authority will be harder to displace once the space gets more competitive.
\nThe other side of that equation is knowing which topics are worth building around in the first place. Exploding Topics helps by surfacing trends in your industry before they reach their peak search volume, so you can publish authoritative content while competitors are still catching up.
\nStart an Exploding Topics Pro trial today to find the emerging topics you can use now to gain more visibility in Copilot and other LLMs.
","summary":"Most marketers chasing AI visibility are focused on a few top platforms: ChatGPT, Google's AI Overviews, and Perplexity, for example. Microsoft Copilot rarely makes the list, despite Copilot surpassing 100 million monthly active users across Windows, Edge, Microsoft 365, and Bing. In February 2026, Bing Webmaster Tools launched AI Performance, ...","seo_title":"How to Use Bing’s AI Performance Dashboard to Grow Your LLM Visibility","meta_description":"Learn how to use Bing’s AI Performance dashboard to track citations, identify content gaps, and grow your visibility in Copilot and AI-powered search.","featured_image_alt":"Bing AI Performance Blog Post Image","url":"https://explodingtopics.com/blog/bing-ai-performance","featured_image":"https://cdn.buttercms.com/output=f:webp/QBQ1jgNnQhyVzMt8asIb","author":{"bio":"Jolissa Skow is a senior content writer and content strategist with a background in SEO, Google Analytics, and WordPress. She's been published on Search Engine Land, G2, UpCity, Salesforce, and more, and her Google Analytics tutorials have been shared by Google on their social media platforms. She loves to read and runs a book blog in her spare time. She currently lives in Minneapolis, where you'll find her zipping around on her pedal-assist electric bike.","slug":"jolissa-skow","email":"jolissa.skow@gmail.com","title":"Senior Content Writer","last_name":"Skow","first_name":"Jolissa","facebook_url":"","linkedin_url":"https://www.linkedin.com/in/jolissa-skow/","instagram_url":"","pinterest_url":"","profile_image":"https://cdn.buttercms.com/GYZYCKikRmeIz8F6odMV","twitter_handle":""},"tags":[],"categories":[{"name":"aiseo","slug":"aiseo"}]},{"status":"published","created":"2026-04-01T10:06:42.874271Z","updated":"2026-04-01T11:46:29.062296Z","published":"2026-04-01T10:05:24.210000Z","scheduled":null,"title":"The AI Myths Marketers Believed and What the Data Actually Shows","slug":"ai-marketing-survey","body":"What are real marketing departments doing with their budgets in the era of AI? Exploding Topics decided to find out.
\nWe surveyed over 1000 marketing budget decision-makers, and the answers we received completely rewrite some of the prevailing AI narratives.
\nWe found AI adoption at a massive scale. But we also found that the biggest AI adopters are also increasing their hiring the most: marketing tools might be getting replaced, but marketers are not.
\nYet in other ways, the responses still painted a picture of huge flux in marketing department budgets. The rise of AI optimization, massive lurches between social platforms, and evolving attitudes to attribution all emerged as key themes.
\nMarketing departments are no longer just experimenting with AI. In fact, a significant minority are now using the technology as their main marketing content creator.
\n28.27% of respondents said that AI produces the majority of their content, either with or without some human editorial oversight.
\nThat’s still slightly below the 36.21% of departments who mostly rely on internal teams for content. But AI has become the second most common marketing content lead, ahead of contractors (17.96%) and paid UGC (4.86%).
\nFactoring in marketers who report using a “fairly equal mix” (12.7%), more than 4 in 10 departments are using AI as a major content creator.
\nAnd the pace of adoption is increasing. 68.55% of marketing departments are increasing their levels of AI content.
\nAlmost 1 in 3 (32.04%) describe their attitude as “doubling down”: greatly increasing AI content and scaling back human labor hours.
\nVery few marketers are having second thoughts about AI. Just 2.18% are fully reversing course, with a further 3.57% drawing back a little.
\nAnd notably, only 9.82% of marketing departments still haven’t used any AI-generated marketing content.
\nThe Middle Atlantic emerges from the data as an AI marketing hub. 41.28% of respondents from the region are doubling down on AI, with just 1.7% reversing course.
\nMeanwhile, New England ranks among the most cautious areas. 22.22% have not used AI for any marketing content, and a further 18.52% are either reversing course or drawing back.
\nAs more marketing departments double down on AI, many existing tools have begun to fall by the wayside.
\nAlmost half (46.33%) of decision-makers have replaced “lots” of marketing tool subscriptions with AI alternatives.
\nA further 31.45% have replaced “a few” tools, with only 22.22% yet to jettison any of their existing marketing stack.
\nAnd the decision-makers with the deepest pockets are being the most ruthless with their existing subscriptions.
\nAmong the departments with the biggest budgets ($10M+), 94.2% have replaced at least some marketing subscriptions with AI tools.
\nOn the other hand, the smallest marketing departments (budgets of less than $100K) are by far the most likely not to have replaced any of their existing tools with AI. 60.2% are yet to make any changes.
\nBut as soon as budgets rise above $100K, most marketing departments are making AI-related changes to their stack. Among departments with budgets between $100K and $500K, only 21.85% have not replaced any of their tools with AI.
\n[list=topic number=5 category=marketing]
\nOne thing departments of all sizes seem to have in common is that AI is not currently producing a smaller, more efficient marketing stack. Only 9.22% of respondents report that their stack has gotten smaller in the past 12 months.
\nOn the contrary, 59.03% report at least a slight increase in the number of tools, signifying a shift toward more specialized software.
\nAnd the most aggressive adopters of AI (those who have replaced “lots” of subscriptions with AI alternatives) are actually by far the most likely to have increased the overall size of their marketing stack. 47.97% of this group have made significant increases in the past 12 months, and a further 35.12% have made slight increases.
\nBy comparison, it’s the marketing departments yet to replace any of their subscriptions with AI tools that are most likely to have reduced the size of their stack.
\nThe bottom line at the moment is that more AI tools generally equals more tools overall.
\nSo AI isn’t reducing the average marketing stack. And as it turns out, nor is it reducing budgets.
\nOnly 16.37% of respondents said that the rise of AI has led to a decrease in their marketing budget. It was far more common (41.96%) to report an increase.
\nOf course, most marketing departments are still in the early stages of full-scale AI adoption. Understandably, a significant minority of respondents felt that there had been no meaningful impact on budgets yet, or that it was too early to tell.
\nBut for those who have noticed an effect, AI generally isn’t being used as an excuse to cut costs. The West South Central region is something of an exception (34.02% reported decreased budgets), but the overall national picture poses a challenge to a persistent AI myth.
\nThere is a perception that managers are too quick to assume they can automate marketing functions, and that these decision-makers view AI as an easy cost-saving measure. But the data shows that AI is typically an additional investment.
\nHaving said that, there has still been a reallocation of resources away from existing marketing workflows. 40.28% of departments report that AI has caused a major budget reallocation.
\nCounting those who anticipate change within the next 12 months, 86.31% of marketing departments are planning or executing AI-driven budget reallocations.
\nHowever, marketing departments don’t seem to be replacing existing human labor with AI. In fact, 60.12% have actually expanded the size of their team within the past 12 months.
\nOnly 8.9% of marketing departments have seen any sort of reduction in size. That’s quite remarkable against a national backdrop of 1.17 million job cuts in 2025, and within a sector that is clearly embracing AI tools.
\nAnd against all expectations, departments who are “doubling down” on AI are also by far the most likely to be significantly expanding their teams.
\nIntuitively, you would expect the AI “reversers” to be the ones increasing hiring, bringing more staff on board in order to undo overambitious automation plans. But only 27.28% of the departments that are fully reversing course on AI have expanded the size of their departments in the past 12 months.
\n54.55% of these AI backpedallers have retained roughly the same team size, and 18.18% have actually made reductions.
\nIn stark contrast, 65.33% of the marketing departments going full steam ahead on AI have “significantly increased” team size in the last year. A further 17.03% have made slight increases, and only 5.58% have made any sort of reductions.
\nAnd as the above chart illustrates so clearly, AI adoption maps directly onto team expansion. At each increment of AI positivity, from reversing course through to doubling down, the percentage of teams who are significantly expanding their team size increases.
\nIn another piece of our original research, we found that 43.31% of workers fear AI making them look replaceable to their employer. But at least in a marketing context, it appears these fears are largely unfounded for the time being.
\nWhat might be causing this phenomenon? There are a few possible explanations:
\nA combination of all these factors is probably at play in most cases. But the upshot is that AI-enabled marketing teams are getting bigger, not smaller.
\nWe’ve covered how AI is being used for marketing. But we also need to consider how the rise of AI is changing the very purposes of marketing.
\nFor example, getting to the top of Google SERPs is a long-standing marketing goal. But with the dawn of AI Overviews and the increasing use of chatbots like ChatGPT, does that remain a top priority?
\nFirst and foremost, marketing departments are certainly aware of the need to appear in these next-generation searches. 71.52% have begun actively investing in influencing AI-generated answers.
\nAnother 15.77% are planning to start efforts to influence AI responses. That leaves just 12.7% of marketing departments with no plans to do so.
\nAnd AI optimization (AIO) is seeing some of the biggest budget increases.
\nRespondents were asked to select up to three marketing channels seeing the biggest budget uplifts. 36.61% selected AIO, behind only paid search (40.18%).
\nNotably, SEO is only seeing the biggest budget increases in 1 in 4 marketing departments. Only PR and partnerships are receiving a smaller share of budget boosts.
\nThat tells a clear story of shifting priorities. With AI Overviews significantly increasing zero-click searches, marketers have been forced to reassess, and the current focuses are ads and AI.
\n[cal:aio]
\nAnother element of evolving marketing strategy is platform shift. AI is prompting decision-makers to refocus attention on new channels.
\nMore than 95% of respondents said that they redistributed their platform investment in 2025. The number one reason for doing so was “influence in AI search or AI answers” (45.44%).
\nOther common reasons for refocusing included better performance/ROI (38.39%), moving audience (36.31%), and a better creator/influencer ecosystem (35.02%).
\nInterestingly, however, attention is not shifting uniformly from one platform to another. For instance, TikTok topped the charts for both gaining budget (53.87%) and losing it (35.52%).
\nTikTok, YouTube, and Google Search were the top budget gainers:
\nBut TikTok and Google Search featured in the top three again for losing budget:
\nThe number of platforms that place similarly in both lists illustrates the absence of a single winning playbook in 2026. Most platforms seem to be working well for some marketing departments but not others, and there is high churn as marketers try to find the winning formula.
\nOne potential exception is X, which did not make the top 5 for gaining budget, but was ranked 4th for losing budget. That suggests a net exodus away from Elon Musk’s platform among marketers.
\nMeanwhile, YouTube stands out as a more universal winner. Only 28.67% of marketing decision-makers are deprioritizing Alphabet’s video platform, whereas 52.08% are assigning it more budget.
\nAs well as being quite a known quantity amid instability elsewhere, YouTube has the benefit of being a top source for Gemini, so brand efforts on the platform can have a knock-on effect on AI visibility.
\nWhen posting to social media, most marketers are focused on building brand social accounts. 41.37% say this is their main emphasis.
\nMicro-influencers (19.84%) are slightly more likely to be a main focus than big influencers (17.76%). Meanwhile, a little over 1 in 10 departments are deprioritizing social media altogether.
\nAnd while AI is vastly changing the marketing landscape in many ways, AI influencers are yet to become a mainstream strategy. Fewer than 10% of marketing decision-makers are focused on creating them in-house.
\nAmid all of this uncertainty, what do marketers plan to do next? Most departments are actively experimenting, committing more funds to pilot projects.
\nA third of decision-makers (33.23%) are “significantly increasing” the budget assigned to pilot schemes, with another 26.69% “somewhat” increasing budget. Less than 8% are reducing their budget for running experiments.
\nThis ties into the significant platform churn we observed. To a certain extent, marketers are just having to throw things at the wall and see what sticks.
\nHowever, if there is one thing that stands out as “future-proof”, it is AI.
\nWe asked all of our 1000+ respondents to note down the marketing budget line item that feels most future-proof. AI was the clear recurring theme.
\nOn the other hand, “human” and “people” also appeared in a non-trivial number of responses. “Human employees”, “human touch”, “human oversight”, and “human content” were all submitted as answers.
\nIt’s also notable how prominently “none” featured, further underlining the sheer extent of uncertainty at present.
\nAs marketers step up pilot schemes and move to new platforms, how confident are they in their ability to see what is and isn’t working?
\nIt certainly feels as though rising zero-click searches and relative intangibles like AI brand sentiment should have made things harder for marketers, compared to long-standing click-based approaches to attribution.
\nHowever, 82.73% of respondents reported that leadership is at least somewhat confident in current attribution models. 43.25% reported being very confident.
\nOf course, you could argue that more than half of marketers feeling less than “very confident” does show some level of disruption within attribution. But it was surprising to see less than 1 in 5 respondents report any kind of skepticism.
\nAnd confidence in attribution is much higher among marketing departments who are actively trying to influence AI-generated answers.
\nAmong the decision-makers placing a priority on influencing AI-generated answers, 84.46% said they were “very confident” in current attribution models. Just 3.26% voiced any sort of skepticism.
\nBy contrast, attribution skepticism among those not even planning to try and influence AI answers reached 47.66%.
\nThis suggests that marketing departments yet to react to “the great decoupling” (an AI-fuelled rise in impressions and drop in clicks) are most likely to feel as though attribution is broken. But marketers who are proactively addressing the new era of AI searches are finding that they are able to quantify their efforts. Tools like Semrush Enterprise AIO are providing increasingly sophisticated solutions.
\n[cta:custom type=\"button\" heading=\"Get AI On Your Side\" cta_label=\"Analyze Your AI Visibility Now\" url=\"https://www.semrush.com/semrush-ai-toolkit\"]
\nDespite continued faith in attribution among most marketers, there is also a shift toward channels with less directly attributable revenue.
\nMore than 1 in 3 (37.3%) marketing departments are significantly increasing investment in channels like brand, PR, community, and AI visibility.
\nIncluding those who report a “slight” increase in investment, 65.08% of decision-makers are increasing spend on channels with less directly attributable revenue.
\nAnd while a reasonable minority (27.08%) are keeping investment roughly the same, only 7.84% are funnelling investment away from these channels.
\nCrucially, it appears that willingness to spend on these less attributable channels is closely linked to confidence in attribution models.
\nAmong marketing leaders with high confidence in attribution models, 76.15% are “significantly increasing” spending on channels with less directly attributable revenue.
\nAt the other end of the spectrum, 46.15% of respondents who were “very skeptical” about attribution models are also moving investment away from channels where attribution is hardest.
\nSo why would greater faith in attribution trigger more spending on less attributable channels?
\nIn some cases, marketing leaders are presumably satisfied that they have attribution models that can adequately account for channels like AI visibility. This essentially provides the data-backed “permission” to spend.
\nAlternatively, effective tracking of the channels with more directly-attributable revenue could be providing the headroom to experiment with other channels.
\nSure enough, 88.36% of decision-makers who are significantly increasing investment in experiments and pilot projects are also significantly increasing investment in channels with less directly attributable revenue.
\nThose who are significantly decreasing investment in pilot projects are also mostly drawing back from less attributable channels.
\nOur hard data from marketing leaders has certainly underlined the significance of AI. But it has also busted some prevalent myths.
\nAnd the real, on-the-ground situation is even more fascinating than some of the narratives that have been weaved. It paints a striking picture: AI is not the efficiency play envisaged by many, it’s an expansion play.
\nTo sum up:
\nIt’s the marketing departments yet to embrace AI that are more likely to find their backs against the wall in terms of weak attribution models, declining budgets, and shrinking teams.
\nPlatforms like Semrush Enterprise AIO can help you get to grips with the AI era, handing you back control of attribution and providing the data you need to start embracing expansion. Request a demo today.
\nThis survey was put to 1,837 respondents. Of those, 1,010 were marketing budget decision-makers, and 1,008 proceeded to complete the full survey.
\n35.18% were marketing managers, 26.76% were marketing leaders (CMO/VP/Head of Marketing), 21.11% were founders or CEOs, and 12.49% were consultants or agency workers. “Other” accounted for 4.46% of responses.
\n49.6% of the marketing decision-makers surveyed were male, and 50.2% were female. Respondents were drawn from all major US regions (there were no responses from US territories).
\n20.02% of respondents managed budgets of under $100,000. 26.76% managed budgets between $100,000 and $500,000. 31.22% managed budgets of $500,000 to $2,000,000. 15.16% managed budgets of up to $10,000,000, and 6.84% managed budgets in excess of $10,000,000.
","summary":"What are real marketing departments doing with their budgets in the era of AI? Exploding Topics decided to find out. We surveyed over 1000 marketing budget decision-makers, and the answers we received completely rewrite some of the prevailing AI narratives. We found AI adoption at a massive scale. But we ...","seo_title":"The AI Myths Marketers Believed and What the Data Actually Shows","meta_description":"We surveyed 1,000+ marketing leaders about AI and budgets. The results challenge everything: teams are growing, not shrinking, and tool stacks are expanding.","featured_image_alt":"AI Marketing Survey Blog Post Image","url":"https://explodingtopics.com/blog/ai-marketing-survey","featured_image":"https://cdn.buttercms.com/output=f:webp/EYBf7SGZRwWaJ5hpB2Kc","author":{"bio":"James is a Journalist at Exploding Topics. \r\n\r\nAfter graduating from the University of Oxford with a degree in Law, he completed a Diploma in Journalism through Press Association Training. He won the Premier League award for the best sports exam script. \r\n\r\nNow in his second spell with Exploding Topics, following three years covering Liverpool Football Club, James has a keen interest in the latest trends. He has been published in areas from AI to the commerce industry, with bylines including The Independent.","slug":"james-martin","email":"jamescmartin98@gmail.com","title":"Research Journalist","last_name":"Martin","first_name":"James","facebook_url":"","linkedin_url":"https://www.linkedin.com/in/james-martin-117bb8171/","instagram_url":"","pinterest_url":"","profile_image":"https://cdn.buttercms.com/GCm7FjDRlG3oU5UIrwjw","twitter_handle":"@JamesMartin013"},"tags":[],"categories":[{"name":"marketing","slug":"marketing"}]},{"status":"published","created":"2022-08-22T10:39:39.583181Z","updated":"2026-04-01T11:51:06.004706Z","published":"2026-04-01T01:39:00Z","scheduled":null,"title":"Top Trending Topics (April 2026)","slug":"trending-topics","body":"This is a list of the top 100 trending topics in the US right now.
\nNote that the topics in this list aren’t fads (like new movies or video games).
\nInstead, these are long-term trends that are likely to see upward growth throughout 2026.
\n\nThe data from this list was generated using our proprietary algorithm and trend curation process.
\n| # | \nTopic | \nSearch Growth | \n
| 1 | \nJumping Spider Enclosure | \n790% | \n
| 2 | \nSalmon DNA Microneedling | \n8,300% | \n
| 3 | \nHealth Tracking Ring | \n5,100% | \n
| 4 | \nAI Earbuds | \n4,400% | \n
| 5 | \nPlaud Note | \n7,600% | \n
| 6 | \nCold Plunge Sauna | \n8,800% | \n
| 7 | \nPeptide Lip Balm | \n6,000% | \n
| 8 | \nBooktok | \n1,000% | \n
| 9 | \nBeehiiv | \n8,600% | \n
| 10 | \nPermanent Jewelry | \n3,450% | \n
| 11 | \nWifi 7 Router | \n2,533% | \n
| 12 | \nPupsicle | \n2,075% | \n
| 13 | \nWalking Pad | \n3,150% | \n
| 14 | \nAI Story Generator | \n4,500% | \n
| 15 | \nBuldak Ramen | \n1,380% | \n
| 16 | \nAI Mirror | \n9,200% | \n
| 17 | \nAI Image Enhancer | \n7,800% | \n
| 18 | \nWorkwhile | \n780% | \n
| 19 | \nINNBeauty Project | \n988% | \n
| 20 | \nDUPR | \n2,400% | \n
| 21 | \nCold Plunge Tub | \n2,700% | \n
| 22 | \nShoe Washing Bag | \n883% | \n
| 23 | \nTumble Rug | \n2,433% | \n
| 24 | \nAI Robot | \n1,280% | \n
| 25 | \nBoneless Couch | \n9,800 | \n
| 26 | \nViwoods | \n4,400% | \n
| 27 | \nWanderlog | \n6,900% | \n
| 28 | \nAI Personal Assistant | \n8,800% | \n
| 29 | \nSuri Toothbrush | \n6,500% | \n
| 30 | \nBoucle Bed Frame | \n99x+ | \n
| 31 | \nMilky Toner | \n4,800% | \n
| 32 | \nFluted Glass Cabinet | \n9,700% | \n
| 33 | \nDog Dental Powder | \n99x+ | \n
| 34 | \nPrequel Skincare | \n8,400% | \n
| 35 | \nNotegpt | \n9,400% | \n
| 36 | \nOwala | \n6,500% | \n
| 37 | \nAirplane Phone Holder | \n6,600% | \n
| 38 | \nPDRN Toner | \n99x+ | \n
| 39 | \nTalking Flash Cards | \n5,200% | \n
| 40 | \nPDRN | \n99x+ | \n
| 41 | \nTheraFace | \n4,000% | \n
| 42 | \nMofusand Blind Box | \n4,900% | \n
| 43 | \nIonic Thermal Brush | \n5,000% | \n
| 44 | \nPrompt Engineering | \n4,700% | \n
| 45 | \nVector Database | \n1,900% | \n
| 46 | \nWorkflow Automation | \n1,950% | \n
| 47 | \nPenpot | \n4,500% | \n
| 48 | \nCuripod | \n99x+ | \n
| 49 | \nTuta Email | \n9,700% | \n
| 50 | \nPrezi AI | \n6,300% | \n
| 51 | \nOled Gaming Laptop | \n1,467% | \n
| 52 | \nWorkflow Automation Platform | \n6,800% | \n
| 53 | \nAI for Teachers | \n7,100% | \n
| 54 | \nAgricultural Marketplace | \n4,700% | \n
| 55 | \nMixed Metal Jewelry | \n625% | \n
| 56 | \nOrganic Modern Kitchen | \n2,800% | \n
| 57 | \nBaby Bottle Washer | \n3,950% | \n
| 58 | \nAI Mini PC | \n7,100% | \n
| 59 | \nYemeni Coffee | \n99x+ | \n
| 60 | \nPistachio Perfume | \n4,900% | \n
| 61 | \nAI Air Fryer | \n5,800% | \n
| 62 | \nRed Light Mask | \n4,900% | \n
| 63 | \nTranslation Earbuds | \n6,000% | \n
| 64 | \nMagnetic Power Bank | \n3,133% | \n
| 65 | \nJellycat Charms | \n5,500% | \n
| 66 | \nCloud-Native | \n270% | \n
| 67 | \nOrganic Modern Kitchen | \n2,800% | \n
| 68 | \nBarrel Leg Pants | \n4,350% | \n
| 69 | \nBirch Juice Moisturizer | \n8,700% | \n
| 70 | \nGender Affirming Care | \n1,540% | \n
| 71 | \nAI Translator Headphones | \n1,700% | \n
| 72 | \nAlgae Cooking Oil | \n6,700% | \n
| 73 | \nAI Voice Detector | \n8,100% | \n
| 74 | \nHeatless Curler | \n780% | \n
| 75 | \nHigh Speed Hair Dryer | \n5,200% | \n
| 76 | \nLaptop Screen Extender | \n3,033% | \n
| 77 | \nAI Mouse | \n5,700% | \n
| 78 | \nPadel Shoes | \n2,867% | \n
| 79 | \nAI Music Generator | \n7,900% | \n
| 80 | \nAlgorithmic Bias | \n1,040% | \n
| 81 | \nMagnesium Glycinate Supplement | \n4,900% | \n
| 82 | \nTiphaus | \n9,300% | \n
| 83 | \nPartiful | \n9,200% | \n
| 84 | \nCarsized | \n4,800% | \n
| 85 | \nFastmoss | \n99x+ | \n
| 86 | \nDocuclipper | \n8,100% | \n
| 87 | \nHigh Speed Hair Dryer | \n5,200% | \n
| 88 | \nMomcozy | \n9,800% | \n
| 89 | \nPetfolk | \n9,000% | \n
| 90 | \nPilates Outfit | \n3,850% | \n
| 91 | \nSteamdeck | \n7,100% | \n
| 92 | \nPanthenol Moisturizer | \n4,850% | \n
| 93 | \nBarrel Fit Jeans | \n2,400% | \n
| 94 | \nLash Clusters | \n9,600% | \n
| 95 | \nProbiotic Soda | \n1,286% | \n
| 96 | \nAI Shoes | \n7,300% | \n
| 97 | \nLow Rise Sweatpants | \n1,700% | \n
| 98 | \nPickleball Grip | \n767% | \n
| 99 | \nGigpro | \n7,200% | \n
| 100 | \nAI Robot Dog | \n1,000% | \n
Pro Tip: Semrush is invaluable for analyzing competitors and boosting your topical authority around new trends.
\n[cta:keywords]
\nWith that, here is a collection of trending topics worth keeping an eye on:
\n5-year search growth: 4,900%
\nSearch growth status: Exploding
\nDescription: This supplement combines magnesium with the amino acid glycine, known for its high bioavailability and effectiveness in supporting muscle and nerve function, bone health, and energy production. It is distinguished by its ability to be easily absorbed by the body, reducing the likelihood of digestive discomfort often associated with other forms of magnesium supplements. The target demographic includes individuals seeking to improve their magnesium intake for better overall health, particularly those with deficiencies or increased needs due to lifestyle or health conditions.
\n5-year search growth: 7,900%
\nSearch growth status: Exploding
\nDescription: A specialized treatment focusing on the health and relaxation of the scalp and hair. The process typically involves deep cleansing, nutrient-rich conditioning, and techniques to stimulate blood flow, promoting hair growth and preventing hair loss. This holistic approach is beneficial for individuals seeking to maintain optimal scalp health and achieve stronger, more resilient hair.
\n5-year search growth: 9,700%
\nSearch growth status: Exploding
\nDescription: Tools that use machine learning algorithms to automate the creation of video content. They can produce high-quality videos quickly and efficiently, making them popular for various applications such as marketing, entertainment, and education. AI video generators are particularly beneficial for content creators, marketers, and educators looking to streamline video production processes.
\n[cta:keywords]
\n5-year search growth: 7,800%
\nSearch growth status: Exploding
\nDescription: Advanced software solutions that utilize artificial intelligence and machine learning algorithms to improve the quality of images. These tools can automatically make adjustments and enhancements such as noise reduction, sharpening, color correction, and upscaling without requiring human intervention, thereby enhancing the overall quality and resolution. AI image enhancers are widely used in fields like photography, graphic design, and digital marketing to produce high-quality images efficiently.
\n5-year search growth: 7,100%
\nSearch growth status: Regular
\nDescription: Artificial intelligence for educators encompasses a range of tools and applications aimed at improving educational experiences. These technologies automate administrative tasks, personalize learning, and provide real-time feedback, thereby supporting teachers in crafting engaging content. The primary beneficiaries of these AI tools are educators seeking to enhance teaching efficiency and effectiveness, allowing them to concentrate more on student engagement.
\n5-year search growth: 1,933%
\nSearch growth status: Exploding
\nDescription: Activities or environments that fully engage an individual's senses, often creating a sense of presence in a different reality. These experiences utilize advanced technology such as virtual reality (VR) simulations, interactive art installations, and 360-degree videos to create realistic and interactive environments. Immersive experiences are particularly appealing to individuals seeking highly engaging and sensory-rich activities, including gamers, art enthusiasts, and professionals in training scenarios.
\n[cta:trafficanalytics]
\n5-year search growth: 2,400%
\nSearch growth status: Exploding
\nDescription: These are athletic footwear designed to improve running performance by integrating a carbon fiber plate within the midsole. This design feature enhances stiffness and energy return, thereby increasing running efficiency and speed, making them distinct from traditional running shoes. Carbon-plated running shoes are primarily targeted at competitive runners seeking to enhance their performance in races.
\n5-year search growth: 944%
\nSearch growth status: Exploding
\nDescription: Nicotine pouches are small, tobacco-less pouches that contain nicotine, flavorings, and sweeteners. Experts believe these pouches are safer than alternative nicotine products because they don't contain tobacco leaves and have fewer carcinogens. Zyn, the leading provider of nicotine pouches, brought in $446.8 million from nicotine pouches in 2025.
\n5-year search growth: 99x+
\nSearch growth status: Exploding
\nDescription: Creatine gummies are a dietary supplement designed to provide the benefits of creatine in a convenient, chewable form. These gummies aim to increase muscle mass, improve muscle strength, and enhance exercise performance, differentiating themselves from traditional creatine powders and capsules by offering a more palatable and easy-to-consume option. They are primarily targeted at athletes, bodybuilders, and fitness enthusiasts looking for an effective and convenient way to incorporate creatine into their supplement regimen.
\n5-year search growth: 7,700%
\nSearch growth status: Exploding
\nDescription: Technology that converts written text into spoken words using advanced machine learning algorithms. These systems, including tools like Google Text-to-Speech and Amazon Polly, are used in applications such as virtual assistants, audiobooks, and accessibility tools, with recent advancements focusing on improving the naturalness and expressiveness of the generated speech. The primary users of text-to-audio AI are developers, businesses, and individuals seeking to enhance user experience and accessibility through voice-enabled applications.
\nThat wraps up our list of current trending topics worth keeping an eye on.
\nThere are a few “big picture” patterns in this list. For example, many of the trends are related to beauty and natural health. And many others are tech-focused.
\nWe keep this list updated. Check back soon for updated data and trends.
","summary":"This is a list of the top 100 trending topics in the US right now.\n\nThe data from this list was generated using our proprietary algorithm and trend curation process.\n\nNote that the topics in this list aren’t fads (like new movies or video games).\n\nInstead, these are long-term trends that are likely to see upward growth throughout 2026.","seo_title":"Top Trending Topics (April 2026)","meta_description":"A regularly updated list of the top 100 trending topics in the US right now.","featured_image_alt":"Trending Topics Blog Post Image","url":"https://explodingtopics.com/blog/trending-topics","featured_image":"https://cdn.buttercms.com/output=f:webp/mRswz7EOToG5EN4jegIu","author":{"bio":"Fabio is a research associate at Exploding Topics.\r\n\r\nSince 2021, Fabio has researched, written, and edited articles for the Exploding Topics blog. Alongside this, he also manages social media content for X and LinkedIn.\r\n\r\nAway from his work at Exploding Topics, Fabio is Head Editor of the match report project at Flashscore.\r\n\r\nFabio has worked on thousands of articles and blog posts across a wide variety of industries including sports, technology, retail, and finance.","slug":"fabio-duarte","email":"fabio.p.duarte@outlook.com","title":"Research Associate","last_name":"Duarte","first_name":"Fabio","facebook_url":"","linkedin_url":"https://www.linkedin.com/in/fabio-duarte-b6996318a/","instagram_url":"","pinterest_url":"","profile_image":"https://cdn.buttercms.com/dIHDuu0QOWurzcpz0eD4","twitter_handle":"@FDuarteWriting"},"tags":[{"name":"semrush","slug":"semrush"}],"categories":[{"name":"market-research","slug":"market-research"}]},{"status":"published","created":"2026-03-31T11:45:28.203619Z","updated":"2026-03-31T11:51:07.538972Z","published":"2026-03-31T11:44:37.012000Z","scheduled":null,"title":"How to Kill or Validate a Business Idea in 30 Minutes","slug":"validate-business-idea","body":"Business ideas are inherently exciting. But there is nothing financially or emotionally worse than getting carried away, sinking months into a project that was doomed to fail from the start.
\nJust 30 minutes of your time could answer the all-important question: could this really work?
\nWith the help of data, you can take a step back and complete an objective review. After half an hour or less, you’ll have significantly more clarity on numerous key points:
\nSo without further ado, let’s validate your business idea.
\nOr kill it.
\nMany of the best business ideas are born from a personal pain point. But that’s far from failsafe: the mere fact of knowing you would pay for a particular product or service does not guarantee the existence of a wider market.
\nIf you take one thing away from this guide, it should be that data is your friend when validating a business idea. It strips back all of the emotion and subjectivity.
\nSo the first thing to do is to see if anybody else wants what you’re planning to offer. If the answer is no, then your decision is clear: kill the idea.
\nThere are different ways you could go about doing this: you could conduct field research, run your own focus groups, or even create a simple prototype product to help gauge interest.
\nBut all of those things take time and money. And I promised 30 minutes.
\nThankfully, the incredibly valuable data that you need is probably already out there. You don’t need to start from scratch, you just need to know where to look.
\nA simple place to begin is checking search volume. You could use a free tool like Google Trends, but I prefer Exploding Topics, which gives you raw figures instead of a relative “0-100” scale.
\nAfter all, if I’m thinking about launching a business, it’s no good knowing that my idea is the most popular that it has ever been. If that only amounts to 60 searches per month, I’m going to struggle to find a market.
\nLet’s say I’ve been playing a lot of pickleball recently, and I’ve been unable to find adequate socks. Searching “pickleball socks” in the database gives me an immediate overview:
\nStraight away, I can see that the monthly global search volume is 2.9K. That’s not super-high, but it wouldn’t justify killing the business idea on the spot.
\nI can also see that there have been clear December search spikes since 2022. From this, I can infer that pickleball socks are growing in popularity as a seasonal gift for people who play the sport, but interest among enthusiasts themselves is progressing more gradually.
\nAgain, this alone may not justify a “kill” verdict. It might prompt a pivot in how I plan to market the product, but it isn’t necessarily terminal.
\nMy next simple step is toggling on the “forecast” option (another advantage of Exploding Topics over Google Trends). Based on millions of data points from online signals and similar search trend patterns, the platform is able to forecast the likely trajectory of the trend over the next 12 months.
\nThis forecast suggests that interest in pickleball socks may have peaked. For a search term which didn’t have the highest volumes in the first place, that’s enough to make the call: kill the idea.
\n[cta:trends]
\nIt isn’t always quite as simple as validate or kill.
\nHaving looked at the search volume, you may conclude that the trend you have identified is not yet strong enough to support a new business idea. But there is enough promise to keep an eye on it.
\nEven with something like the pickleball socks, you might decide that you’d like to keep track of whether or not the forecasted decline plays out as predicted.
\nIn situations like this, it’s important to keep a convenient log of your paused ideas, ideally somewhere that also continues to track changes in search interest.
\nIf you’re using Exploding Topics, you can use Trend Tracking for this. It will continuously monitor the 5-year trend line and monthly search volumes of your on-hold ideas.
\nAfter your quick initial search, you can move these ideas completely onto the back burner. Periodically checking in every couple of months or so will show you at a glance whether any paused ideas can be moved up to the next stage of validation (or if they need to be killed for good).
\nIf there’s consumer interest in your business idea, then it has passed the first hurdle. The next step is to check whether you’re offering anything different from what’s already out there.
\nAs a writer, let’s say I’ve identified writer’s block as a possible pain point, and hit upon the idea of an AI writing tool. One look at the trend shows me that this is not a sufficiently unique product idea.
\nGrowth is exploding. But the market is already well on its way to maturity, with over 200K searches per month: to stand any chance with a general-purpose AI writing agent, I would have needed to set out before April 2025 (66.3K monthly searches), when interest began to rise steeply. Ideally, I would have been marketing the product pre-2023.
\nThe verdict on this business idea in its current form is clear: kill.
\nHowever, I can look at related trends to see if there are any longer-tail searches that might yield a convincing USP.
\nGoogle Trends is good for this: when you look up a topic, it breaks down a list of related top queries and rising queries (albeit still without raw search numbers). Alternatively, the functionality is built into Exploding Topics, so you’ll see related trends under every search chart.
\nHere’s what it looks like for AI writing tools:
\nThis shows that tools for students, academics and authors have all shown some upward momentum, at far lower raw search volumes (you can check these by clicking into the individual trend). Catering to one of these markets could therefore have the hallmarks of a business idea with a USP.
\nBut in order to know that for sure, you need to do a bit of competitor analysis. That might sound daunting, but don’t worry: you’ll still have the whole process wrapped up in 30 minutes.
\nAt this stage in your research, the simplest method is often just a Google search. I typed in “AI academic writing tools”, and found out within seconds that there are already multiple players within the space.
\nFrom here, you could decide that the niche is already too congested. Or you could skim competitors’ sites for any obvious gaps or areas for improvement.
\nIncidentally, the Reddit result that featured high up my search could prove to be a very useful resource. It will be full of genuine users talking about what is and isn’t working for them.
\nIt’s also worth returning to a trend tracking platform to see how these newly-discovered competitors are faring. You don’t want to take inspiration from a business idea that isn’t working.
\nIn this case, Paperpal is clearly achieving excellent growth.
\nNevertheless, if you can’t find a genuine way of organically standing out, it’s time to kill the business idea. Otherwise, it’s onto the final stage.
\n[cta:market]
\nIf you have a target market and a USP, you’re a good chunk of the way there. But you still need to see if there is genuine room for growth before you have a fully validated business idea.
\nIf you checked the 1-year trend forecast at step 1, you’ve already taken a big step. Of course, it’s only predictive, but steep expected growth over the next 12 months is a very positive sign.
\nI’m about to become a father for the first time, and I’m thinking about what I’ll need for the baby. Let’s say I’m conscious about protecting their eyes and ears from splashes during bath time; a quick look at the trend forecast highlights this as a potentially high-growth idea.
\nBut even with a chart like this, you’ll still want to carry out some final checks. For that, you need to look at some secondary signals outside of traditional search growth.
\nIn the vast majority of cases, you won’t be selling a product that nobody has ever sold before. Naturally, you’ll want to take steps to stand out, but there will be useful points of comparison already on the market. It’s worth checking how consumer search interest is currently translating into hard sales.
\nIf I click on “product details” within Exploding Topics, I can see average sales data from Amazon. Using the baby shower caps example, top sellers are averaging a little over $8,000 per month.
\nI’m also going to check how baby shower caps are performing across various social channels. If you can, it’s good to find a trend tracking tool that picks up growth signals from multiple platforms.
\nIn this case, I can see that interest is especially high across Pinterest, Instagram, TikTok, and Facebook.
\nYou may want to do a quick search for your product on the platform(s) where it is gaining the most traction. This will only take a matter of minutes, but you’ll get more of an idea about how people are talking about the product, and where your messaging could fit in.
\nFor TikTok specifically, you can use the TikTok Insights tool. You’ll be able to view the top-performing videos directly, as well as accessing metrics on total posts, views, and likes.
\nWhen thinking about growth potential, it’s also sensible to check if there’s room for expansion from your initial idea. There are plenty of successful niche businesses, but ideally you’ll have a roadmap beyond a single product.
\nFor this, you’ll want to consider which “meta trends” your business idea fits into.
\nReturning to the shower cap idea, “baby on board” is a massive meta trend. So if you manage to find initial traction, there are all kinds of areas into which you could grow.
\nSo in theory, you’ve got a clear progression:
\nLaunch baby shower caps brand → Grow brand awareness on channels like TikTok, Instagram, and Pinterest → Capitalize as product interest continues to grow → Branch out into related baby products once consumers trust your brand
\nStarting a business is still really hard, and validating the idea is only the first step. But in 30 minutes, you’ve been able to efficiently kill any non-starters, and clarify the ones that stand a real chance of success.
\n[cta:eyeon]
\nThat’s it! You’re done. And there’s probably enough time left in that 30 minutes for you to start brainstorming your next great business idea.
\nI would argue that this is where Exploding Topics stands out even more. Unlike lots of trend tracking alternatives, it is a platform for inspiration and discovery as well as targeted trend validation.
\nYou can browse it in a way that simply wouldn’t be possible with something like Google Trends. So rather than thinking of an idea and then going through all of the steps to check it, you can effectively scroll through a curated database of potentially viable jumping-off points within the niche of your choosing.
\nYou can filter by timeframe, growth, and volatility to really hone in on early-stage, high-velocity trends. So instead of relying on personal flashes of inspiration, and hoping you’ve hit upon market fit, you can start multiple stages ahead of your competitors.
\nAnd when that spark does come to you, you’ll have the data you need to validate or kill it without wasting time and money.
\nSign up for a free trial of Exploding Topics today to start validating business ideas without all the fuss.
","summary":"Business ideas are inherently exciting. But there is nothing financially or emotionally worse than getting carried away, sinking months into a project that was doomed to fail from the start. Just 30 minutes of your time could answer the all-important question: could this really work? With the help of data, ...","seo_title":"How to Kill or Validate a Business Idea in 30 Minutes","meta_description":"A bad business idea costs you time, money, and momentum. Here's how to use search trends, competitor data, and social signals to validate yours in 30 minutes.","featured_image_alt":"Validate Business Idea Blog Post Image","url":"https://explodingtopics.com/blog/validate-business-idea","featured_image":"https://cdn.buttercms.com/output=f:webp/32HvSGyxS8iOXQ7j4tRX","author":{"bio":"James is a Journalist at Exploding Topics. \r\n\r\nAfter graduating from the University of Oxford with a degree in Law, he completed a Diploma in Journalism through Press Association Training. He won the Premier League award for the best sports exam script. \r\n\r\nNow in his second spell with Exploding Topics, following three years covering Liverpool Football Club, James has a keen interest in the latest trends. He has been published in areas from AI to the commerce industry, with bylines including The Independent.","slug":"james-martin","email":"jamescmartin98@gmail.com","title":"Research Journalist","last_name":"Martin","first_name":"James","facebook_url":"","linkedin_url":"https://www.linkedin.com/in/james-martin-117bb8171/","instagram_url":"","pinterest_url":"","profile_image":"https://cdn.buttercms.com/GCm7FjDRlG3oU5UIrwjw","twitter_handle":"@JamesMartin013"},"tags":[],"categories":[{"name":"market-research","slug":"market-research"}]}]![\"Navigate](\"https://cdn.buttercms.com/rAzrqPWxTSmro6mTfzBe\")
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