Does Lantern crawl my own content?

No — Lantern queries the AI engines on the prompts you track and observes which content (yours or third-party) gets cited in the answer. We infer citation attribution back to your pieces via URL matching and content fingerprinting.

What about Reddit / G2 / third-party citations?

Lantern reports all citations in the answer, not just your owned content. If ChatGPT cites your G2 profile or a Reddit thread mentioning you, that's in the monthly report. Most content leaders discover that 40-60% of their AI-surface is off their owned domain and adjust strategy.

How do I brief writers differently based on Lantern data?

Typical brief upgrade: instead of 'write about X,' you brief 'write the answer ChatGPT currently gives for prompt Y. Here's what's cited today. Here's the gap. Here's the angle.' The writing target becomes a specific prompt, not a generic topic.

$99/mo Starter covers a typical content-team prompt scope (50-100 tracked prompts). Enterprise scales to full category coverage.

AEO Pipeline Attribution for Heads of Content: From Traffic Reports to Citation Pipeline

The content job changed in 2026. Zero-click is the majority case; AI answers are the surface. Your content either gets cited or it doesn't. Lantern tells you which pieces get cited, on which prompts, and what pipeline each citation produces.

What's stopping you

The three pain points most Head of Contents bring to the first Lantern conversation in 2026 — in the language they use:

Your monthly content report is pageviews, time on page, and 'assisted conversions'.

None of those metrics measure the actual 2026 outcome: is your content the answer ChatGPT gives when a buyer asks? The CMO reads your report and nods politely. The CFO reads it and cuts your freelancer budget. Neither one knows which post is winning you pipeline because the reporting layer stopped being accurate in 2024.

You commissioned 40 pieces last quarter. You can't tell the team which 7 drove pipeline.

Your writers want feedback. You want to tell them 'your piece on [X] became the #1 answer for [Y] prompt and drove $Z pipeline.' Instead you tell them 'traffic was solid.' The quality of content shipping drifts because the feedback loop isn't sharp enough to steer it.

Your owned site is 8% of what LLMs cite. You don't know what the other 92% is.

HubSpot's own analysis: LLMs cite your owned content ~8% of the time in branded queries. The rest is third-party — Reddit, G2, industry media, integrations directories. You have no view into that surface area. Your content strategy is blind to 92% of what's actually shaping the buyer's LLM answer.

What you're measured on

The KPIs on a Head of Content's review in 2026. AEO attribution shows up on the last one — and in 2026, that's the line that gets watched.

Head of Content KPI stack

Citation rate (% of tracked prompts where you appear)
Share of citation vs. competitors
Pipeline $ per published piece
Citation-to-pipeline ratio by content type
Content gap count (prompts competitors own, you don't)
Traditional: pageviews, time-on-page (now secondary)

Why AEO attribution matters specifically to a Head of Content

Content at scale in 2026 is measured by citation, not click. A piece that gets cited by ChatGPT 10,000 times but drives 500 pageviews is winning — the old metrics would have called it a failure. Lantern gives you the citation-level output your content program needs to steer quality. Which pieces get cited. On which prompts. By which engines. And what pipeline $ each citation chain produces. Your content budget gets defensible at the piece level.

“My old content report had pageviews on the top line. My new one has citation rate and pipeline $. Pageviews moved to page 3. That is the 2026 content team.” — The Head of Content, described in audience-brief voice

Three ways Head of Contents use Lantern

The content-scorecard weekly

Lantern ships a weekly content scorecard: each published piece, its citation count by engine, its rank relative to competitor content on the same prompt cluster, and — critically — the pipeline $ traced back to it. Your writers get specific, numeric feedback per piece.

The citation-gap editorial brief

Lantern surfaces prompts where a competitor is cited and you aren't. That becomes the editorial calendar. Instead of 'what should we write this month' being a guess, it's: 'here are the 5 prompts competitors own. Fill them. Target: citation within 60 days.'

The freelancer-ROI conversation

When the CFO asks whether the freelancer budget paid back, you pull the per-piece pipeline attribution: '12 of 40 pieces from freelancer X drove citations. Those 12 contributed $Y pipeline. The other 28 contributed nothing. Net ROI: Z.' The freelancer conversation moves from 'gut feel' to data.

AEO prompts a Head of Content would track

The prompt set is where AEO programs either produce or die. Start with the buyer-intent queries your ICP types into ChatGPT when evaluating your category. A Head of Content's first-cut list typically looks like this:

1What is [concept in your category]?
2How to [task your content teaches] with [your product or category]
3Best [category] for [specific audience]

Expand to 50-150 tracked prompts within 30 days. Every prompt becomes a reportable unit — citation rank, content match, pipeline $ attributed. That's how AEO becomes a channel, not a buzzword.

Where this sits in the Lantern stack

Lantern is AEO pipeline attribution for B2B SaaS — AI citation monitoring across ChatGPT, Perplexity, Claude, and Gemini, wired to the HubSpot deal record so pipeline $ flows cleanly into your CRM-level reporting. V1 ships on HubSpot; Salesforce follows in V1.5. Pricing: $99/mo Starter, Enterprise for custom prompt/engine/brand scale.

If you're mid-evaluation against Profound, Scrunch, or AthenaHQ, the AEO tool comparison hub has head-to-head pages on each. If you're about to defend an AEO line item to the CFO, the CFO's Guide to AEO Budget Defense has the memo template, math cheat sheet, and objection handling for the renewal conversation.