In the world of commercial production, AI is moving from hype to hands-on. While some see it as a threat and others are sceptical, there’s no denying that there’s been a quantum leap forward in generative AI video tech in recent months. And that has inspired a new breed (or generation, if you will) of production companies that are harnessing AI as their creative raw material.
Speaking to some of the new companies that have emerged in the gen AI video boom, as well as a fair few familiar names from the world of commercial production that have adopted and adapted, we set out to find out what generative AI is really doing for the world of independent production right now. And with that comes a caveat: given the breakneck speed at which the tech is moving, this may well be out of date within a month.
So buckle up!
The Tech, the Tech, the Tech
In the world of generative artificial intelligence, Kent Boswell of recently launched Australian production company AiCandy tells me the measure of progress for AI video is Will Smith eating spaghetti. It’s based on the acid-trip-gone-horribly-wrong nightmare fuel video from 2023, which sees the Fresh Prince sprout new fingers and merge with the noodles which writhe around his plate. The same prompt in 2025 creates something that’s shockingly advanced, much more realistic and stable – and far less psychically scarring.
Gen AI video platforms like Sora, Runway and Luma have released several major updates, and this May, Google released Veo 3 which allows for greater consistency and can generate native audio that’s synchronised with the video. This leap forward in technology has, in turn, created greater appetite for AI video from clients.
“There was definitely a tipping point a couple of months ago where although generative, AI video was a thing, it was nowhere near production-ready,” says James Hilditch, founder and creative director at video production company BearJam, which has developed an AI offering. “You could do fun things, and it might work for a shot or a quick moment, but actually that seemed that it suddenly just tipped over for us. Now the quality is good enough to put out.”
His colleague, Trey Farley, a director and creator and former camera operator, says that this evolution has translated into an upswing in the jobs coming in and interest from clients. Over the past two months he says it’s gone from ‘a trickle’ to a ‘steady flow’.
For a more visceral demonstration of how dramatically things have improved, just speak to the team at Silverside AI, the AI innovation lab spun out of agency Pereira O’Dell. In November last year, it helped Coca-Cola remake its classic Christmas campaign, ‘Holidays Are Coming’. As one of the biggest brands to take gen AI advertising to the mainstream, it was a pioneer in the space . Founder Rob Wrubel chuckles at that word, recalling the fate of the pioneers on the Oregon Trail.
“Literally, they step out in Texas on the Oregon Trail, and all the pioneers get killed by hurricanes, arrows, whatever,” he laughs as he looks back on the reaction they had when they first popped their heads up. “So I do feel like we have had that pioneer spirit, like we’ll figure out some way through this. Yeah, but it has been super fun and exciting.”
His partner in crime at Silverside, the inimitable PJ Pereira, chimes in. “When we started to do it, people said we were either crazy or idiots or traitors. Now they’re like, you are right.”
As much as many have been taken by surprise by the speed of AI video’s development, PJ says its trajectory tracks with what he expected to see given his experience with other advertising tech-driven revolutions, like digital.
The rate of improvement is exhilarating but challenging to keep up with. Jan De Loore at Belgian production company AiCandy (not to be confused with the Australian company of the same name) shares an example: earlier in the year, a project for Oxfam involved some labour-intensive, complicated lip sync challenges. And just weeks after completion, Google’s Veo 3 launched, with its advanced lip sync capabilities, rendering their technical efforts obsolete. “As soon as our production is finished, it happens that a new tool comes on the market, which could have halved our work efforts,” reflects Jan.
A New Gen-eration of Production Companies
As the technology has improved, allowing filmmakers to wield greater control and to produce shots with more polish, inevitably a new breed of production companies is popping up. Some are existing prod cos that have pivoted or have set up AI-specific labels or rosters. Companies like The Sweetshop have made AI available to all of the directors on their roster, allowing them to level up to become directors who are well versed in both traditional filmmaking and AI, as well as launching AI creative studio The Gardening Club, with a roster of AI artists. Imagine This launched a separate banner, Made By Humans about a year and a half ago, which includes a carefully curated roster of AI artists backed up by its production know-how. Kode, also in the UK, has been putting AI to work as a tool to improve productivity and lessen the financial and time burden of unpaid pitches.
Of course there are also companies that have spawned entirely from scratch in response to the AI gold rush. In Belgium, AiCandy emerged when motion graphics expert Jan won a prompt battle hosted by experienced film producer Hans. Since launching in January, it has had an explosion of interest from clients, and has worked on over 10 projects.
Meanwhile in Australia, another company bearing the same name, AiCandy, but completely unrelated, has recently launched, headed up by experienced commercial producer Kent and creative Marcus Tesoriero. The seeds of their company sprouted – where else? – over a beer at Cannes Lions 2024 as the pair saw the wall-to-wall AI panels and talks, and figured they didn’t want to be left behind and that their combined experience put them in a strong position to meet clients’ high expectations. Their phones, they say, haven’t stopped ringing since their launch at the end of July and they already have two projects greenlit.
“The reaction we’ve had since launch confirms we’ve identified a hole in the market,” says Kent. “We were certainly first to market in Australia, and arguably probably one of the first in the world. The offering is so unique… We’ve spent the last six months scouring all corners of the globe looking for the best AI film directors around the planet and we’ve got them signed exclusively to us here in APAC. It’s allowing us to go to market with an incredible offering, where we can guarantee we’re going to be able to create really compelling stories with beautiful film techniques that are highly crafted and going to engage the audience.”
AiCandy Australia’s 2025 showreel
And then there are the exciting outsiders. If AI truly is a democratising force, it figures that we’d see companies pop up that have little previous connection to the advertising industry. That’s sort of true for Anima Studios, a company made up of four friends – Riccardo Fredro, Nick Montori, Ruggero Ghinzelli and Florin Smolevschi – from the same Italian town. While one of them is a sound designer who has worked for years in commercials, that’s not true of the rest.
Anima began life as a TikTok account for the friends to create, at first, AI images and, later, video of their sci-fi stories. Amassing over 600,000 followers, 4.4 million likes and tens of millions of views, they quickly found an audience. But as TikTok had no suitable monetisation options in Belgium and Italy, where the Anima crew is currently based, they had to find other ways to make money with their newly acquired skills. And so they’ve found opportunities in commercial production, as well as helping a major holding company visualise ideas in pitches – and they also create trailers for movie directors looking to generate funding for their film ideas. They’ve been doing the rounds in recent weeks with a spec ad for Lays, which has sparked interest and debate on LinkedIn.
Clients Are Coming
The tech’s getting there, the companies are eager, but what about clients? It’s no secret that there’s a divide between the brands that are proactively experimenting with and embracing AI and those who are continuing to avoid it. And speaking to these varied companies, another interesting trend comes to light: it’s start-ups and small-to-medium sized companies and organisations that are most enthusiastic, and least likely to be put off by legal grey areas of using open source gen AI platforms. They tend not to have the cautious legal teams of multinational brands. Jan at AiCandy in Belgium recalls creating a campaign for a major European car client only for an anxious legal team to suddenly pull it.
“We feel that it’s mainly the smaller clients that are more prone to taking the risk and see the opportunities. They have always been limited by budgets, but now, with a rather low budget, they can create stunning commercials,” says Jan. “ They’re not bound to agencies, no international legal restrictions and so on and so on. So they are more agile.”
Case in point, AiCandy’s campaign for Belgian dairy brand Inex. Whatever its budget, it certainly didn’t stretch to hiring stunt cows to jump out of helicopters.
What’s something James at BearJam has observed too. “I think smaller start-up brands are more comfortable. Perhaps they don’t have in house legal teams that are saying, ‘hang on, let’s just pause on this’. They’re just like: this is great. We can do more, bigger stuff for our budgets. And I think they’re happy to kind of just move quickly and get it done and not necessarily get too caught up in the usage rights and issues like that,” he says, though he notes he’s aware of major brands that are starting to push the envelope, so things are ‘gradually shifting’.
As we’ll see later, not all ads that use generative AI are 100% generative AI. The brands that made a PR play of being ‘first to market’ with gen AI video ads took a risk and were as much leveraging the power of conversation as they were the power of artificial intelligence. However, beyond the headline-grabbing controversies, a number of clients have been quietly making use of gen AI tech and talent to pull off challenging shots.
It’s also true that AI allows companies with more modest marketing budgets who would normally be limited to very domestic-scale ideas to embrace bigger, more outlandish concepts. While AI commercial production could represent a race to the bottom on cost, the other way to look at it is that it opens the doors for a whole new raft of potential clients .
“We’ve opened the door to brands and clients that possibly could never, in their wildest imagination, dreamt of having an advertising campaign because they couldn’t afford it. Now the can, which is fantastic,” says Kent of Australia’s AiCandy.
Storytelling is Everything
Anyone who’s followed the conversation around gen AI video will be familiar with the term ‘slop’ – low effort, poorly produced dross flooding social feeds. The companies we speak to have strong feelings about ideas, storytelling skills and filmmaking knowhow as crucial differentiators.
“I think it has major implications for the whole industry. I think we will be flooded with crap, so to speak, from now on, more and more. I think that’s maybe one of the main issues going forward; how are we going to have our brands going to differentiate themselves, and how are they going to stick out?, “ ponders Jan. “I believe, at least for now, that, yeah, a good idea and vision is still crucial.”
Those producers and directors with extensive experience in film argue that a deep understanding of the language of film – the storytelling techniques, the technical specs, the aesthetics – is key to creating quality AI video.
Referring to a slide in their pitch deck, Kent says, “In theory, I could hand you the keys to an F1 fighter jet and go, ‘Hey, jump in, take it for a spin’. I know I would crash and burn. And so it’s the same thing with AI. If AI is in the wrong hands, of people that don’t understand film craft, don’t understand film language, don’t understand when to hold for that extra two frames, to drop that moment in comedy… it’s just going to be vanilla.”
However, that storytelling ability may be found in surprising places. PJ Pereira is convinced that AI is breaking down the old boxes that creative people have been forced into. To demonstrate, he shares a provocation – is writing prompts for generative AI an exercise in copywriting (it uses words, afterall) or art direction (you’re trying to guide an image)? A conundrum, indeed, if the industry needs to cleave to those highly specific job roles.
PJ and Rob reveal that in their team at Silverside, they pull together a diverse range of specialists, and over time even the technologists have stepped forward to direct. PJ refers to an editor who has joined the team. His storytelling has been honed over decades, sure, but he didn’t sit in the director ‘box’. “We hired an editor that has 20 years of experience in editing, and for 20 years the only thing that he was allowed to determine was where a shot starts and when a shot ends, and what goes before and after,” he says. “That’s the only thing that he can influence… the guy is a real filmmaker.”
Jan at AiCandy echoes that sentiment. “It opens up possibilities for people with another background, with no knowledge of filmmaking, and I see that as a positive, because it also applied to myself, “ he says. “I’m a motion designer. I made some films, but I’m not really a cinematographer, so I always had some ideas, but I cut myself off from the idea to produce these things, because I don’t like large production crews. The thing I hate about film production and advertising film production is the fact that it’s so hierarchical, and all tasks are split between several units and people, but now It’s kind of any idea can be visualized and created.”
A Complex Production Challenge
Before delving into the realities of AI filmmaking, for most people the impression is that it’s as simple as button mashing a prompt onto a keyboard and popping out a fully formed film. But the realities are much more complicated.
Alongside the ability to tell a story and evoke and provoke emotion, there are some core ‘traditional’ producing skills that are also vital for good quality AI filmmaking. For one thing, the workflows are often incredibly complex. Toby Walsham at Made By Humans shares a glimpse of a workflow of an AI shot, and it’s a filigree of lines and layers. Each AI video tool has its own strengths and weaknesses – and that changes with every update – and each project requires its own carefully considered stack of programmes and platforms.
“I think it’s very comparable to early VFX days,” says Toby, who spent a significant amount of time in the world of VFX before moving to live action. “It’s not everyone that can do it. There is definitely a misconception that everyone can be an AI artist. It isn’t the case. We signed people that we thought would be great AI artists and we dropped them since you need to be a storyteller and a creative, but also very tech savvy. AI is not just prompting and writing something amazing. It’s not copywriting.”
The producer’s ability to bridge the gap between brand and talent is another crucial skill which might be even more important with AI. That’s because generative AI – for whatever medium – is iterative. It’s a tool whose outputs are determined by probabilities. That means that it’s extremely rarely (dare we say, never) a case of inputting a prompt and finding the first output to be usable. Crafting shots that have consistency and that adhere to brand demands and creative standards requires not just creative talent but someone steadying the ship.
For the team at Kode, their explorations of AI have revealed just how crucial their very human skill of producing really is – and where it might sit alongside the radical new AI talent popping up.
“We’re acutely aware of the fact that there’s lots of talented individuals who know how to do the prompting and operating the tools, but they don’t all have the decades of experience that we do have within this market and within this category. We’re great at finding and developing talent, pairing them with clients and agencies, and managing a strategic, creative and production process that sees good commercial results,” says Jack Goodwin, executive producer.
Which brings us to one of the most interesting tensions around the way that AI will play out in production. Is it a force that breaks down barriers and democratises filmmaking – or does it make that singular creative vision and production skill all the more important? And the answer seems to be: both? Kind of?
Anima is an enticing example of a company that’s emerged from pure creative passion. “We started crafting our own original content,” says Anima co-founder Riccardo Fredro. “So we realised, hey, this gives you the opportunity to tell stories and to do things that we always were passionate about, like science fiction or creating a musical artist and so on and so forth. And so we started exploring both the ad space and our own originals. And then along with it came other opportunities.”
A Race to the Bottom or Raising the Bar?
Cost is a misapprehension that everyone we speak to raises. Creating engaging stories with high production values and a high level of brand control requires skill, creativity, time and, yes, money. While they acknowledge that artificial intelligence can be used to churn out low quality, low cost assets (slop, see above), they argue that it can also be used to raise the creative bar.
The production complexities and time consuming iterations combined with the creative talent needed to create good film using AI means that it’s not necessarily cheap – however it might allow clients to get more from their budgets.
Small to medium clients might find they suddenly have access to big, outlandish ideas when previously their budgets limited them to simple, domestic-scale ideas. Big clients might find their budgets might stretch to more films and assets than their big budgets would previously achieve.
Toby reveals that while the budgets he was receiving last year were low, as the technology improves and confidence grows, he’s seeing more of those big six figure budgets up for grabs for AI producers and filmmakers.
Riccardo at Anima uses the example of a campaign for a consultancy where they were able to use AI to turn consultants into spec op spies. Far beyond the usual B2B marketing budget. “We wanted to give those same tools and that same access to that quality, also to smaller companies,” he says.
For the evangelists at least, they don’t see a race to the bottom, but a creative launchpad to the stars. “From our point of view it’s bloody exciting because we’re unlocking new opportunities that could never be done before because there have always been a myriad of reasons holding us back. Now there’s almost no excuse to not do the best work of your career now,” says Kent.
AI? Live Action? Why Choose?
One thing that becomes clear is that when it comes to deciding between AI or more traditional production methods, it’s not all-or-nothing. Many of the companies we’ve spoken to talk about stacking different methods and technologies and choosing the right tool for the job. So some heavily AI jobs still need a bit of old school compositing or colour grading – and some seemingly ‘trad’ jobs are actually making use of a sprinkling of AI to achieve challenging or budget-unfriendly shots.
Toby at Made By Humans reveals that he’s been talking with other production companies to help them achieve certain shots or elements. “We never planned on being partners with other production companies, that wasn’t like our intention,” he laughs. “But a lot of production companies, and I think rightly so, are going, ‘we don’t do AI because that’s not our expertise, but telling stories is’, and they need partners like us.”
It’s become a cliché at this point to refer to AI as ‘just another tool’, but perhaps, once the hype has calmed that’s exactly what it will become. An option, just like stop motion or CG animation or live-action filmmaking.
Silverside hit the headlines with their 100% AI work but even these leaders in the field are now bringing together remote live action filmmaking with AI in a current job. Just as PJ is convinced that AI will blur or totally destroy the boundaries between job roles, perhaps we’ll also see less of a distinction between work that’s live action, animated or AI as techniques bleed into one another.
What Does the Production Model of the Future Look Like?
The million-and-a-bit dollar question is: what will the production company model look like in the age of AI? People are trying different things, and it’s unlikely we’ll end up with one standard approach. The likes of Made by Humans, the Australian AiCandy and The Sweetshop are betting on shifting the traditional prod co model of signing/repping directors to signing a roster of AI artists. At BearJam, they talk about pairing directors with AI artists, tailored to the requirements of a particular jobs.
However, those we speak to suggest that the gentlemanly way the industry approaches signing and repping directors in specific markets may not easily transfer over to AI artists who often transcend boundaries.
Then there are small nimble studios like Anima or the Belgian AiCandy, which take the whole project on, and can take on concepting and script writing functions. (Although check out their AI short ‘Advertising Professionals in 2030’ for a particularly bleak look at where they wryly suspect even the AI creators might end up.)
Then there’s the free-flowing ‘laboratory’ approach of the likes of Silverside, where different specialisms are brought together and invited to push into new spaces. PJ is all for breaking down models and structures in order to allow AI to truly liberate talent. “We industrialised the creative process and we somehow made ourselves believe that industrialising the creative process was a romantic idea, “ he says. “That’s dumb, That’s uncreative.”
With so much changing so fast, it seems that this is the perfect time to not only experiment with technology but with business models and organisational structures too – and as more and more new AI-focused production companies emerge we’re going to see even more new ways of working too.
Generative AI has sunk its claws into just about everything. Work, hobbies, daily life, and more. It’s even starting to eat Microsoft from the inside, cannibalising jobs to fuel its never-ending push for bigger AI infrastructure, all in the name of “progress,” and all at the cost of real people’s livelihoods. And now, it wants the big screen too.
OpenAI is making a full-blown animated film called Critterz, roping in some surprising talent — including writers who worked on Paddington in Peru (via Wall Street Journal). As someone who adores the charm of Paddington Bear, that’s unsettling.
So, what is Critterz exactly — a glimpse of Hollywood’s future, or the start of a flood of AI slop hitting cinemas? We won’t know until it’s out. But let’s look at what’s known so far and why this could set a dangerously bleak precedent.
What is Critterz, and who’s behind it?
匚尺丨ㄒㄒ乇尺乙 — An animated short created with AI – YouTube
Critterz is a newly announced feature-length animated film created using AI. It’s set to premiere at the Cannes Film Festival in 2026, before heading to cinemas worldwide. It follows a group of woodland animals on an adventure, expanding on a 2023 AI-generated proof-of-concept short.
OpenAI is providing the AI tools behind the project, including GPT-5 and Sora, while Vertigo Films and Native Foreign are partnering on production. Funding is coming from Federation Studios.
More surprising is who’s writing it — James Lamont and Jon Foster, the duo behind Paddington in Peru, which scored 93% with critics on Rotten Tomatoes. Also involved are Chad Nelson from OpenAI and Nik Kleverov from Native Foreign.
Right now, about 30 people are working on the film — far fewer than the hundreds usually needed for a traditional animated feature. It’s currently being positioned as an experiment, testing how far AI can go in reshaping the production process.
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How OpenAI plans to rewrite filmmaking with AI
The goal here is to prove that AI can make films faster and cheaper (via Vertigo) — sigh, how dystopian.
The plan is to cut production time from the usual three years down to just nine months, and shrink budgets from the hundreds of millions to around $30 million. That’s what this so-called “experiment” is set to cost.
It’s being pitched as a test of what AI is capable of, but I can’t help feeling uneasy about it, especially if it succeeds.
If successful, we’re likely entering an age where people start losing jobs in a creative field, a field I don’t think AI should be taking away from. AI should be helping with the boring, repetitive tasks, not replacing the creative process entirely. That’s what worries me about this whole endeavour.
The cost-cutting experiment threatening human creatives
Critterz is being made by a surprisingly small team, challenging the norms of animated filmmaking, where projects usually involve hundreds of people. If it succeeds, it raises serious questions about what that could mean for jobs across animation, VFX, and other creative fields.
Unions like SAG-AFTRA and the Writers Guild of America have long protected wages, credits, job roles, and working conditions. But bringing AI into the mix could blur those boundaries, weaken bargaining power, and undermine protections that took decades to secure.
It’s not hard to imagine small AI-driven teams popping up outside union rules, making it harder to enforce standards or safeguard jobs. That risk is difficult to ignore, and it’s not out of the realm of possibility that major studios see AI as a way to sidestep creative labour entirely, which threatens job security and artistic standards in the process.
I think I’ve made my stance clear, but I’d genuinely be interested to hear what others think. AI can be an incredible tool, but it’s also becoming a worrying presence in people’s lives, with job loss looming over many. Even Microsoft, while not involved in this project, has been pushing AI deeper into its workflows and forcing employees to adopt it — whether they want to or not.
Much has been heralded around the ability of artificial intelligence (AI) to make short work out of writing large swathes of text. It can provide lengthy answers to questions in mere moments, generating copy with little effort and time required to do so. For the time-poor charity sector, it is perhaps not surprising then that such technology has been touted as game-changing, not least in the area ofgrant writing.
Generally speaking, there are a few key reasons why grant writing is a prime target for AI usage. AI models typically start out by writing a decent first draft, including basic research, structure, and analysis. The research provided is a time saver. AI models help with literature reviews, citations, and some even identify potentialgrant opportunities.
To unlock these myriad benefits, we’llexplore some of the AI grant writers available, and how charities can make the most out of them to boost their funds and support vital services.
AI tools for grant writing
Charity Excellence’s grant writer takes aim at levelling the playing field. Targeted at smaller charities this grant writer uses AI to coach charities through their applications. Users log into the dashboard and start running through the questionnaire. Next, the AI Bunny processes the request and out pops out generated text based on responses. Applicants then have the choice to download or email themselves the draft.
Recently launched, nonprofit technology expert Kindsight’sGrant Writer is a comprehensive solution to proposal drafting. The AI draws from a proprietary database from fully awarded grants, meaning that charities are learning from a bank of known winning proposals. The data has been tested and vetted by professional grant writers.
Other features of this platform are also time-savers. Authors can click and drop an executive summary, needs, research, budgetand capacity statements, but leave out other fillers or sections. Each proposal can be tailored exactly to the request.
Pro tip: Check out the free trial.
Plinth takes a slightly different perspective. The AI-driven platform is helping small and large organisations manage their applications.The AI-powered featureshelp withgrant management, service delivery, case management, and fundraising. Plinth says it saves time by using tech to vet applications against Charity Commission data. It then comes up with feedback that is customised to the applicant.
Plinth’s main benefits are two-fold. The platform uses previous applications to pre-populate questionnaires and can build evidence from your existing work. Then the AI can do some professional editing. The technology adjusts for tone and language to suit the application.
Pro tip:Consider using the entire platform to maximise benefits.
GrantWrite AI is a dedicated platform which scans the internet for possible funding opportunities and makes recommendations. Then the application process is made easier. The editing tool enables better writing, so that the proposal is tailored to the grant criteria. The platform also acknowledges that grant writing isn’t done by a single person. The Collaborative Workflow function includes other inputters and reviewers in the process. Next, the grant process itself is tracked. GrantWrite AI monitors progress and shares updates.
Pro tip:The best feature here is the Snippet Library – lift your best work and phrases into new applications.
Another specialised platform,AutogenAI works in two ways.First, the platform can smartly identify funding opportunities.Second, it helps with the request-for-proposal (RFP) process.
The process Autogen AI uses is intuitive. First, AI can ‘read’ the RFP and extract the relevant requirements for your organisation. Then the platform can separate each sectionand users assign responsibilities and due dates. In addition to streamlining the process, AI can help adjust form and language to meet RFP expectations.
Pro tip: This platform works best for complicated, professional RFP processes – ideally government bids and other major projects.
For many charities, testing out new tech is the way to go ahead of a larger investment. Grant Finder Pro helps by dedicating most of their services to smaller organisations. Once registered, the platform sends alerts to charities on which grants might be suitable. When a grant is identified, Grant Finder Pro then uses AI to help draft the proposal using registration information, website, grant, and project details. For an added cost, applicants can add a human editor to the process.
Pro tip: UK Grant Finder Pro works well on a shoestring budget without any other features.
Another pared back service, Grant Boost requires users to share information about the charity and grant. AI is used across three processes. First, the tech checks out the charity informationand parses it out to product a draft. AI also can edit the responses, providing better writing and compelling answers.
Artificial intelligence (AI) search startup Perplexity AI has reportedly secured $200 million in new funding.
The new funding values the company at $20 billion, according to multiplemediaaccounts late Wednesday (Sept 10). The company’s financing was initially reported by The Information, which cited sources familiar with the matter.
That report noted that Perplexity has raised funds approximately once every two months in the last year, with its total funding exceeding $1 billion.
Perplexity was valued at $14 billion following a funding round in March, with its valuation jumping to $18 billion after it raised another $100 million in July.
This latest funding happened in the wake of Perplexity’s bid last month to purchase Google’s Chrome browser for $34.5 billion, a move that would have allowed its Comet browser to better compete with the likes of OpenAI.
The company’s offer came after the Justice Department proposed that Google sell Chrome as a remedy in its antitrust case. A federal judge recently ruled that Google did not need to break up its search business, meaning it will keep Chrome.
The rise of AI-driven search tools like Perplexity’s, or OpenAI’s ChatGPT and Google’s AI Overviews, has birthed the concept of generative engine optimization, or GEO. As PYMNTS wrote last week, this is the emerging discipline of making a brand remain visible in searches.
“Businesses now face a two-front battle: keep their place in traditional search while ensuring AI systems recognize and cite them as authoritative answers,” that report said. “Whether one calls it SEO, GEO, or simply good content, the playbook for staying visible is changing fast, and the cost of sitting out is invisibility.”
As companies watch their click-through rates decline, they have no choice but to embrace an era where AI offers up complete answers to user queries, the report added.
“AI search isn’t coming, it’s already reshaping the web,” Rich Pleeth, former Google marketing executive who is now co-founder and CEO of Finmile, said in an interview with PYMNTS.
“Traditional SEO was about keywords and backlinks. But with AI search engines like ChatGPT and Gemini, discoverability is now about authority, clarity and context. It’s not just about ranking, it’s about being the answer.”
He added that this means online businesses must “rethink their entire content strategy: Speak like a human, show domain expertise, and design for machine readability.”