The Agentic Browser
Landscape

Six chapters, straight answers, and the data behind them.

This report moves from what changed, to who the players are, to what you should do on Monday. Every exhibit cites its source. Every chapter ends with what it means for your brand.

The search box is being replaced. Plan for what answers in its place.

The browser stopped fetching pages and started making decisions. Most brands have not noticed.

Across browsers, search engines, and the assistants buyers now consult first, the same pattern repeats: a model reads, decides, and acts in place of a click. Five shifts follow from that, and each one demands a different move.

The five shifts

The market underneath the shift

An agentic browser does not return links. It returns outcomes.

For thirty years the browser was a window: it fetched a page and a human did the rest. The agentic browser closes that loop. It reads the page, reasons about it, and completes the task, which changes what your brand is actually competing for.

From query to task: what actually changed

The interaction no longer starts with a keyword and end with a click. It starts with an intent and ends with a result. The middle, the part you used to own with a landing page, now happens inside the agent.

Search asked you to do the work. The agent does it for you.

That single difference cascades into every dimension that matters for discovery. The unit of competition is no longer a rank on a page, it is a place in a model's recommendation.

A small market, compounding fast

Agentic AI is still a small line in the broader software market, but it is growing at a rate that makes today's size misleading. Even the conservative case roughly seven-folds it by 2030.

Four browsers, two starting points, one destination.

Google and Microsoft start with distribution and are adding intelligence. OpenAI and Perplexity start with intelligence and are adding distribution. They are racing toward the same place: a browser that decides for the user.

Comet went from desktop to every pocket in under nine months

The clearest tell that this is a platform race, not a feature, is the speed of cross-platform expansion. Comet covered desktop, free global access, Android, and iOS in well under a year.

The four profiles

Buyers stopped searching for links. They started asking for answers.

AI search is now the single largest input into purchase decisions, ahead of traditional search and well ahead of brand sites and review sites. The search box did not disappear. It became an answer, and the answer became a recommendation the buyer rarely questions.

As answers replace links, the open web loses its clicks

Every answer the browser renders is a click that never reaches a website. Two numbers tell the story together: how often a search now ends with no click at all, and how much traffic the top organic result loses the moment an AI Overview appears above it.

Three layers decide whether an agent ever acts on you

Ranking on a page was a single test. Agentic discovery is three tests, stacked. The agent has to see you, trust you enough to cite you, and be able to act through you. Miss the bottom layer and the top two never happen, which is why a thin, unstructured presence quietly disqualifies you before the comparison even begins.

Most of your visibility is borrowed, not owned

Here is the uncomfortable part. When an engine cites you, it usually is not citing you. It is citing a third party that mentions you: a review site, a listicle, a forum thread, a competitor's comparison page. Your owned pages are a thin slice of where the answer actually comes from, which means publishing more of your own content moves the needle far less than earning the trust of the sources the model already reads.

The median B2B SaaS brand scores 63 out of 100 on agentic readiness.

Across 150 B2B SaaS brands tested in five models, the composite GEO score lands at 63.0. The aggregate hides the real story: brands are strong on share of voice and visibility, and weak exactly where revenue is won, on whether the model recommends them by name.

The same brand can be invisible in one model and dominant in another

Agentic readiness is not one number, it is five. Averaged across the brand set, the same companies score 10.3% visibility in one model and 81.6% in another. At the brand level the spread is just as wide: the strongest brand reaches 93.4%, the weakest 25.9%. Optimizing for a single engine leaves most of your buyers reading a different answer.

What the engines actually reward

Three things move every metric above. Make your entity unambiguous, so every model resolves to the same you. Earn primary-source citations, so the model has something it can stand behind. And answer the question the way a buyer asks it, not the way a keyword tool phrases it. Structured data is the cheapest of the three and the one most brands skip.

One assistant sends three of every four AI referrals.

The AI referral market is concentrated to a degree that the open web never was. ChatGPT alone accounts for more than three quarters of referral traffic from assistants. If you are invisible there, you are invisible to most of the agentic web at once.

The few AI referrals you get convert far better

Scarcity is only half the story. The visitor an agent does send arrives pre-qualified, having already been told you are the answer. AI-referred traffic converts at well above traditional organic, and in mature B2B SaaS it more than triples it.

The agent will act on instructions it should not trust

An agentic browser does what the page tells it, and pages can lie. Indirect prompt injection, a malicious instruction hidden inside a web page the agent reads, sits at the top of the OWASP risk list for LLM applications. It is not a fringe concern: under sustained pressure, defenses fail more often than they hold.

What to do Monday, in three tiers.

You do not need a year and a task force. You need an order of operations. Three moves you cannot defer, three for this quarter, and three that put you ahead of a market that is still arguing about whether any of this is real.

The first moves, by role

The plan lands differently depending on whose number is on the line. Three starting points, one for each seat that owns a piece of agentic readiness.

Four signals from the field, weighted by what each can carry.

The agentic browser story is full of confident numbers resting on shaky foundations. We grade ours in the open. Benchmarked is a measured sample. Observed is real telemetry. Directional is a single demo or a self-reported result: real, but not yet proof.

What the board actually proves

Read together, the four tell a consistent story with an honest seam. Visibility and recommendation are measurable today, at scale, and the gaps between brands are large enough to be worth closing. Autonomous action, the agent that books and buys, is real but still demonstrated more than deployed. Plan for the visibility layer with confidence. Treat the callable layer as a near-term bet, not a settled fact.

What is likely, what is plausible, and what is still a coin flip.

A forecast without a probability is just an opinion. Below, eight calls for the next eighteen months, sorted by how much weight we would put behind each, and what would make us change our minds.

The asymmetry to plan around

Notice where the confidence sits. The distribution and adoption calls, more users, more merchants, broader availability, are nearly locked. The calls that would most change your risk profile, a security incident, a pay-for-placement tier, free-tier autonomy, sit in the middle and lower bands. That asymmetry is the plan: build for the certain growth now, and keep optionality for the uncertain shocks.

How we built this, and everything it rests on.

We blended public market data, independent benchmarks, vendor announcements, and security research, then graded each claim by how much weight it could carry. Where a number was reported but unaudited, we flagged it at the point of use rather than burying the caveat here.

The source ledger

The consolidated sources behind this report, grouped by what they inform. Quantitative claims in the body trace back to the entries below.