AI Transforms Digital Visibility

The digital landscape, once a bustling marketplace of clickable links and carefully optimized websites, is undergoing a profound and rapid transformation.

The traditional tenets of search engine optimization, the very bedrock of online visibility for decades, are crumbling under the relentless advance of artificial intelligence.

We are witnessing not merely an evolution, but a seismic shift, a “Game of Thrones power shift” as one industry leader aptly put it, where the very act of seeking information is being fundamentally rewired.

For years, businesses poured resources into ensuring they appeared among the coveted top few links on Google, meticulously crafting content to satisfy algorithms and capture human eyeballs.

Those days, it seems, are numbered.

The culprit? AI-generated summaries and answers from platforms like Google’s AI Overviews, Perplexity, and ChatGPT.

Users are increasingly finding their questions answered directly, without ever needing to click through to a website.

This isn’t a theoretical threat; it’s a tangible decline in traffic for established players.

Travel giants like Kayak and education technology firms like Chegg are feeling the pinch, as studies reveal that a staggering 60% of searches on major platforms no longer result in a click.

A cybersecurity executive, speaking to Forbes, lamented a 10% dip in his company’s search traffic this year alone, declaring, “The industry is really turned on its head because traditional ways of eventually SEO just don’t work anymore.”

This existential crisis for online businesses has, predictably, given birth to a new frontier: Generative Engine Optimization, or GEO.

A fresh crop of agile startups is emerging, promising to help brands navigate this brave new world, where the primary audience isn’t necessarily human anymore, but the very bots that power these AI summaries.

Leading this charge is Profound, co-founded by James Cadwallader and Dylan Babbs.

Their journey began, tellingly, with their own reliance on AI search engines for research.

Less than a year old, Profound has already secured a formidable $20 million in funding from heavy hitters like Kleiner Perkins, Nvidia, and Khosla, valuing the nascent firm at over $100 million.

Their mission is clear: to help over 100 customers, including titans like U.S. Bank, Docusign, and Indeed, understand and influence how their brands appear in AI-generated responses.

Profound’s approach is both innovative and indicative of the new paradigm.

They don’t just wait for AI to crawl the web; they actively engage with it.

Their software generates thousands of “synthetic prompts” – queries like “cheap football cleats” or “best phone for a teenager” – and feeds them into various AI search engines.

This allows them to map out which brands are most frequently cited in different AI responses.

Simultaneously, their system plugs into a brand’s website, observing in real-time which pages are being most heavily crawled by AI agents.

Beyond mere presence, Profound even tracks “sentiment,” analyzing language for negative connotations that could damage a brand’s reputation within AI summaries.

Based on these insights, they offer recommendations akin to a traditional marketing agency, advising on keywords, formatting, layout, and metadata – all designed to make content more “scrape-friendly” for AI models.

In a truly forward-looking move, they even employ AI models to generate content specifically tailored for AI consumption.

“We’re entering this inflection point where humans no longer need to visit websites on the internet,” Cadwallader asserts, painting a stark picture of a future where AI systems “are hijacking that relationship with the end user entirely.”

This is a “hair on fire” problem, as Kleiner Perkins partner Ilya Fushman describes it, underscoring the urgency felt across industries.

The sheer complexity of tracking how AI models, which are constantly evolving and delivering varied responses to the same prompts, discuss a brand makes manual oversight “personally impossible,” according to Khosla Ventures partner Keith Rabois.

Profound isn’t alone in this nascent field.

New York-based Bluefish AI, backed by $5 million in seed funding, is assisting companies in sectors like travel, pharmaceuticals, and retail in optimizing their presence on Gemini, Perplexity, and ChatGPT.

Bluefish AI CEO Alex Sherman highlights that the pivot of tech giants like Amazon and Microsoft towards AI has been a “wake up call” for the marketing world.

He points out a fascinating trend: while most websites are built for human readability, they now need to be optimized for large language models.

Bluefish AI has observed that platforms like Reddit are among the highest-ranked third-party sources influencing brand perception within AI responses, suggesting a broader, more diffuse information ecosystem than traditional search.

Another intriguing player is Athena, co-founded by Andrew Yan, formerly of Google Deepmind’s generative media team.

Athena utilizes its own proprietary AI search model, trained on millions of data points, to provide a comprehensive dashboard of AI metrics, including sources, mentions, and referral rates.

Yan notes that AI search significantly widens the scope for marketing, drawing from a much broader array of sources than Google’s traditional top-three link dominance.

The implications of this shift are monumental.

OpenAI co-founder Andrej Karpathy’s pronouncement on X that “99.9% of attention is about to be LLM attention” resonates deeply within this emerging landscape.

Businesses are realizing that their new “VIP customer” isn’t a human consumer clicking through search results, but rather the intelligent agents and bots that surf the internet on behalf of those consumers, scraping data and synthesizing answers.

Cadwallader, despite the disruptive nature of this transition, remains optimistic.

He envisions a “zero-click future” as ultimately beneficial, where AI search engines provide a more efficient and personalized discovery experience for consumers.

In this future, “consumers will only interact with the answer engine and agents will be the primary visitor of websites,” he predicts.

This vision suggests a world where the intermediary layer of human website navigation is largely bypassed, replaced by intelligent systems that curate and deliver information directly.

The battle for digital visibility is no longer about winning clicks, but about commanding the attention of the machine.

The question for businesses now isn’t just “how do we get found?” but “how do we get understood by AI?”

The answer, it seems, lies in a profound re-engineering of their digital presence, tailored for an audience that doesn’t have eyes, but algorithms.