Earned Media Value (EMV): Formula, Calculator & Complete Guide

EMV meaning: a dollar-equivalent estimate of the exposure a brand earns from unpaid coverage — press, editorial, podcasts, and third-party content — expressed on the same axis as paid media spend so a CFO can compare the two.

• Modern formula: EMV = (Impressions × CPM benchmark) × Engagement × Quality × Sentiment. Every input must be sourced.
• Replaces AVE. AVE was formally rejected by the AMEC Barcelona Principles 3.0 (2020) — the international standard for communications measurement.
• Sibling metrics: Launchmetrics' MIV® (Media Impact Value), Share of Voice (SOV), and raw reach. Each answers a different question; the comparison table below shows when to use which.
• 2026 update: add an AI-citation multiplier (1.2×–1.5×) when a placement is cited inside ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews.
• Run the numbers: use our free Earned Media ROI Calculator to compute defensible EMV on any placement in under two minutes.

Everything below is the long-form operating manual. Skim the headings, jump to the calculator, or read straight through.

EMV translates unpaid coverage into a dollar figure a CFO can compare against paid media spend. It is not a measurement of business outcomes — it is a proxy for the media reach and quality a brand earned instead of buying. Used correctly, it lets a communications team put a Wall Street Journal profile and a $50,000 Google Ads campaign on the same page of a report. Used incorrectly — the way AVE was used for thirty years — it inflates PR budgets with numbers that mean nothing.

The core inputs are always the same three: reach (how many people were exposed), a defensible CPM benchmark (what an advertiser would pay for the same exposure), and adjustment multipliers (how much better or worse the earned exposure actually performed than a paid ad would have). Every serious EMV formula is a variation of that pattern. The differences are in which multipliers are included, whether the CPM benchmarks are sourced from published data, and whether sentiment is scored honestly.

EMV is intentionally a directional metric, not a precision instrument. A CFO who asks "is this number exactly right?" is asking the wrong question. The right question is: "is this number produced by a defensible method, reproducible, and comparable across quarters?" If yes, EMV is doing its job. If any input is invented or unsourced, the number is worse than useless — it is fabrication with a decimal point.

Key Takeaway: EMV is a defensible dollar-equivalent estimate of earned exposure. Every input must trace to a published benchmark or first-party number, or the metric collapses into AVE with better branding.

The defensible modern formula is: EMV = (Impressions × CPM benchmark) × Engagement multiplier × Quality multiplier × Sentiment multiplier. Each input has a documented source, and the multipliers are bounded so a single input cannot dominate the result.

• Impressions. Publisher-reported monthly uniques (Cision, Muck Rack, or the outlet's own media kit), or Similarweb's estimate when publisher numbers are unavailable. For social posts, use platform-native reach. For podcasts, use the show's reported download average. Never estimate impressions without a source.
• CPM benchmark. Published channel CPMs from IAB, WordStream annual benchmarks, or the outlet's own advertising rate card. Never invent CPMs. See the CPM inputs table below.
• Engagement multiplier (0.5 – 2.0). Adjusts for whether the earned placement outperformed a comparable paid ad. Below 1.0 for logo drops and passing mentions. At 1.0 for standard coverage. Above 1.0 for substantive quotes, exclusives, and headline features.
• Quality multiplier (0.5 – 3.0). Adjusts for outlet authority relative to a generic display ad. A Wall Street Journal profile earns a higher quality multiplier than a Forbes contributor post; a trade publication in the buyer's category can outrank both.
• Sentiment multiplier (-1.0 – 1.5). Adjusts for whether the coverage was positive, neutral, or negative. Negative sentiment can drive the value below zero — a real signal AVE could never capture.

The multipliers are bounded intentionally. Any framework that lets a single multiplier exceed 5× or 10× is being used to inflate reports, not to measure reality. If a quality multiplier of 3× is not enough to capture the value of a specific placement, the honest move is to note the placement as an outlier in the report, not to stretch the multiplier.

Key Takeaway: A modern EMV number is only as defensible as its weakest input. Sourced CPMs and bounded multipliers turn EMV into a metric a CFO can rerun; unsourced CPMs turn it back into AVE.

The CPM input is the single biggest source of EMV fabrication, and it is the easiest input to fix — every major channel has a published benchmark. The table below is the CPM range we use as the input into the formula, with the source for each. These are not our benchmarks; they are the published industry ranges. When a specific outlet publishes its own rate card, use that number instead — it is always more accurate than a category average.

Two rules make the CPM input defensible. First, cite the source inline in every EMV report — a CFO who cannot trace the number to a published benchmark will discount the entire report. Second, prefer the outlet's own rate card whenever available; a Wall Street Journal media kit will always beat a category average when pricing a WSJ placement. Ranges above are inputs into the formula, not EMV outputs — a $10 CPM applied to 500,000 impressions before multipliers is $5,000 of raw media equivalent, which multipliers then adjust up or down.

For deeper measurement work — attribution windows, ROI models, dashboarding — see our B2B pipeline ROI guide and tooling guide.

EMV is one of four dollar-and-share metrics that get used interchangeably in PR reports — and they are not interchangeable. Knowing which one to report against which question is what separates a defensible measurement program from a decorative one. The four metrics all measure "value earned," but they answer different questions and are governed by different frameworks.

How to choose. Use EMV when finance is the audience — it lives on the same dollar axis as paid spend. Use MIV® if you operate in fashion, beauty, or luxury and your competitive set already reports on it (comparability matters more than absolute accuracy). Use SOV for board narratives about category leadership. Never use AVE — if a stakeholder still asks for it, present EMV alongside for one quarter, then retire the AVE column.

The Barcelona Principles 3.0 also introduce the Outputs → Outtakes → Outcomes → Impact hierarchy: EMV, MIV®, and SOV are all output metrics. They describe what was produced, not what changed in the business. A defensible report always pairs them with outcome signals (branded search, direct traffic, AI-citation share) and impact signals (pipeline, close rate).

Reading the formula is not the same as running it. The fastest way to see whether a placement is worth what your team thinks it is worth is to plug the numbers in.

Pair the calculator with the CPM inputs table above and the worked example below and any PR analyst on the team can produce a report-ready EMV number in under two minutes per placement.

AVE (Advertising Value Equivalency) persists because it produces large, flattering numbers that make PR budgets easy to justify — but every serious measurement body has rejected it. The AMEC Barcelona Principles, first published in 2010 and updated in 2015 and 2020, explicitly state that AVE is not a valid measure of communication effectiveness. PRSA, ICCO, and the Institute for Public Relations have adopted the same position.

The core problems are structural and cannot be patched:

• AVE assumes editorial and advertising are equivalent. They are not — the credibility, tone, and buyer behavior around a journalist's quote differ meaningfully from a display ad.
• AVE ignores sentiment. A negative front-page story scores identically to a positive one.
• AVE rewards vanity outlets. A logo mention in a low-traffic contributor post outscores a substantive quote in an engaged trade publication.
• AVE is not falsifiable. There is no way to check whether the number is correct because the "ad rate" input is often invented.

If a board or CEO still asks for AVE, present EMV alongside it for one quarter, then retire the AVE column. Pairing EMV with downstream signals — branded search lift, direct traffic, and pipeline attribution — is the fastest way to move a board off vanity metrics. Our branded-search lift guide walks through the transition.

A CFO-grade EMV report has three characteristics: every input is sourced, every multiplier is bounded and documented, and the number is presented with downstream signals — not alone. The template that survives finance scrutiny is a monthly rollup with a 90-day trailing view, one row per placement, and one summary row per outlet tier.

• Per-placement columns. Outlet, publish date, impressions (with source), CPM used (with source), engagement multiplier (with reason), quality multiplier (with reason), sentiment multiplier (with reason), and computed EMV.
• Summary rows. Tier-1 subtotal, tier-2 subtotal, trade subtotal, podcast subtotal, and total. Round every number — false precision destroys credibility faster than an honest range.
• Downstream signals in the same report. Branded-search impression lift (Google Search Console), direct-traffic lift (GA4), and any pipeline events attributable to a placement (Salesforce or HubSpot self-reported field). See our C-suite measurement guide for the full attribution framing.
• A one-paragraph honesty note. State the assumptions: "CPMs sourced from published benchmarks or outlet rate cards; multipliers bounded at 3× maximum; sentiment scored by [tool or human]." Finance leaders trust reports that admit their limits far more than reports that hide them.

The single fastest way to lose CFO trust is to inflate a number and get caught. The single fastest way to earn it is to under-report by 10% and be able to defend every input line by line.

Every current EMV formula was built for a world in which earned coverage generated impressions and clicks — but AI-search engines now cite that same coverage without generating a click at all. A Reuters story cited by ChatGPT, a WSJ profile referenced in a Google AI Overview, or a Bloomberg quote surfaced by Perplexity generates brand exposure that no CPM in the table above captures.

Two adjustments are emerging in practice:

• Citation multiplier. A placement cited in AI answers earns an additional multiplier (typically 1.2× – 1.5×) because the coverage is being redistributed inside AI-mediated research surfaces at zero incremental cost. Track citations with tools like Profound, Otterly, or AthenaHQ.
• Zero-click impression estimate. When a placement is cited in a Google AI Overview or a ChatGPT answer, add an estimate of AI-surface impressions on top of publisher impressions. The estimate should be conservative and clearly labeled as an addition — never merged into the publisher number.

The full mechanics of measuring AI-surface visibility sit in our GEO & AI Search KPIs pillar guide. For the underlying strategy shift — why earned media in the AI-search era compounds differently than paid — see our Zero-Click Marketing pillar.

Key Takeaway: EMV in 2026 needs an AI-citation adjustment. Ignoring it undercounts the highest-leverage earned coverage of the year.

EMV is one metric in a three-layer measurement stack, and it is the top layer, not the whole stack. A serious PR measurement program tracks output, outcome, and impact — EMV is an output metric.

1. Output (what you produced). Placement count, EMV, share of voice, sentiment mix, tier distribution.
2. Outcome (how audiences responded). Branded-search lift, direct traffic, referral traffic from earned coverage, social amplification, AI-surface citation rate.
3. Impact (what changed in the business). Pipeline attributed to earned coverage, sales-cycle compression, close-rate lift on deals where a prospect saw earned coverage, cost per pipeline dollar versus paid channels.

A report that shows only EMV without outcome and impact is a report a CFO will discount. A report that shows all three, with defensible inputs at every layer, is a report that justifies the PR budget in the next planning cycle. This is what our Authority Buildout Program operationalizes for clients — the shared reporting cadence across the whole stack, not just the top layer.

Related reading in this pillar

• Measuring What Matters: A C-Suite Guide to Earned vs. Paid — the attribution frameworks (first-touch, U-shaped, custom) that let earned coverage share credit with paid.
• Tools for Tracking Earned Media vs Paid Media ROI — the specific tooling stack (Cision, Muck Rack, GA4, Salesforce) that automates EMV reporting.
• Measuring Earned Media Placement ROI for B2B Pipeline — how EMV plugs into pipeline attribution for B2B sales cycles.
• Tracking Branded Search Lift from Earned Media Coverage — the downstream signal that validates every EMV number.

Influencer and creator content is the fastest-growing category of earned media, and it needs a modified EMV formula because the CPM benchmarks and engagement dynamics differ meaningfully from editorial press. Platforms like Later, Tribe Dynamics, and CreatorIQ have popularized platform-specific EMV formulas that combine platform-native reach, engagement rate, and a creator-tier CPM.

The core adaptation: replace publisher impressions with platform-native reach, replace category CPM with platform CPM, and add an engagement-rate weighting because creator content is judged on interaction, not just exposure.

Instagram EMV

Formula: (Reach × Instagram CPM) × Engagement-rate multiplier × Sentiment. Use Meta's published Instagram feed CPM benchmarks (~$8–$14). Weight engagement rate against the 1–3% category baseline — a post at 6% engagement earns a 2× engagement multiplier; at 1%, 0.5×. A single Reel with 200K reach at 5% engagement typically returns $2,400–$3,600 in EMV before quality and sentiment adjustments.

TikTok EMV

Formula: (Video views × TikTok CPM) × Completion-rate multiplier × Sentiment. TikTok in-feed CPMs run ~$4–$10 per TikTok for Business auction benchmarks reported by Gupta Media's public CPM tracker and Influencer Marketing Hub. Because TikTok's algorithm surfaces content well beyond follower count, always use actual video views — not follower count — as the reach input. Completion rate replaces engagement rate as the primary multiplier; a video with >70% average completion earns 1.5×–2×.

YouTube EMV

Formula: (Video views × YouTube CPM) × Watch-time multiplier × Sentiment. In-stream YouTube CPMs run ~$4–$12 per Tubefilter's 2024 CPM/RPM report, and integrated host-read placements run ~$12–$25 per Influencer Marketing Hub's creator rate benchmarks. Watch time is the critical multiplier — a 10-minute integrated segment where average view duration exceeds 60% of runtime carries a 2× multiplier, because the creator's trust bleed is functioning at full strength.

Cross-platform rules

• Never use follower count as impressions. Use actual reach or views. Platform APIs report both.
• Weight by engagement, not audience size. A 50K-follower creator at 8% engagement almost always outperforms a 500K-follower creator at 0.8% on real business outcomes.
• Cap creator EMV at 5× the paid-partnership rate. If a creator would charge $10K for a paid integration, cap the earned-EMV output at $50K. This prevents the influencer-EMV inflation that broke Tribe Dynamics' early reports.
• Track separately from press EMV. Roll up influencer EMV as its own tier in the report — never merge silently into a single number.

The bounded, source-cited version of these formulas is embedded in the EMV calculator — choose the "creator / social" mode for platform-adjusted CPMs.

The clearest way to understand EMV is to walk it through a single placement end to end. Assume a portfolio company lands a substantive feature in a national business publication. Publisher analytics report the article page pulls roughly 180,000 monthly page views in its category, and the piece includes a headline mention plus two direct quotes from the founder.

1. Impressions. Publisher-reported page views for the article's category over the trailing 30 days: 180,000. Source: outlet media kit. Do not inflate with social shares — those are counted separately.
2. CPM benchmark. Programmatic digital news display sits at ~$5–$15 per WordStream / IAB benchmarks. Because this is a tier-1 national outlet, use the top of the range: $15. Source: IAB.
3. Raw media equivalent. (180,000 / 1,000) × $15 = $2,700. This is the paid-media baseline before multipliers.
4. Engagement multiplier: 1.5. A headline feature with two direct quotes outperforms a comparable display ad on dwell time and recall. Documented reason attached to the row.
5. Quality multiplier: 2.2. Tier-1 national business outlet in the buyer's category. Documented reason: publication authority score, editorial context, journalist byline weight.
6. Sentiment multiplier: 1.2. Neutral-to-positive framing, no negative angle. Human-scored, second reviewer signed off.
7. Computed EMV. $2,700 × 1.5 × 2.2 × 1.2 = $10,692, rounded to $10,700 for reporting.

Now layer the AI-citation adjustment. Suppose Profound or Otterly detects that this article is cited in ChatGPT and Perplexity answers for three high-intent buyer queries in the following 30 days. Apply a 1.3× citation multiplier to reflect the redistribution: $10,700 × 1.3 = $13,910, rounded to $13,900. Every input line above has a source or a documented reason — that is what makes the number defensible when a CFO asks how you got there.

Key Takeaway: A single-placement EMV walkthrough with sourced inputs and bounded multipliers is the credibility test. If you cannot produce one for any placement in the report, the aggregate number is not defensible.

Different placements demand different multiplier combinations. Below are three short walkthroughs that show how the same formula flexes across a B2B thought-leadership byline, a nonprofit broadcast segment, and a DTC creator integration.

Example 1 — B2B thought-leadership byline in a trade publication

• Impressions: 42,000 monthly page views for the byline category (source: outlet media kit).
• CPM: $9 (LinkedIn sponsored content benchmark, WordStream) — used as proxy for B2B professional audience.
• Raw: (42,000 / 1,000) × $9 = $378.
• Engagement 1.8 (substantively authored byline outperforms display).
• Quality 2.5 (buyer-category trade authority).
• Sentiment 1.2 (positive, expert framing).
• EMV: $378 × 1.8 × 2.5 × 1.2 = $2,041, rounded to $2,000. Low absolute number, high buyer-fit — always report alongside SOV in the category.

Example 2 — Nonprofit executive on national broadcast news

• Impressions: 850,000 average viewership for the daypart segment (source: Nielsen via network media kit).
• CPM: $28 (national broadcast news dayparts, Standard Media Index midpoint).
• Raw: (850,000 / 1,000) × $28 = $23,800.
• Engagement 1.3 (executive quoted in three-minute segment, on-camera).
• Quality 2.0 (national tier-1, general-audience relevance for mission).
• Sentiment 1.3 (positive framing of the cause).
• EMV: $23,800 × 1.3 × 2.0 × 1.3 = $80,444, rounded to $80,000. Broadcast concentrates value fast — one segment can outscore a full month of digital.

Example 3 — DTC brand creator integration on YouTube

• Views: 320,000 (source: YouTube Studio for the creator).
• CPM: $18 (integrated host-read segment, mid-range of $12–$25).
• Raw: (320,000 / 1,000) × $18 = $5,760.
• Watch-time multiplier 1.7 (65% average view duration on a 4-minute integration).
• Quality 1.5 (mid-tier creator, high buyer-fit vertical).
• Sentiment 1.4 (enthusiastic hands-on review).
• EMV: $5,760 × 1.7 × 1.5 × 1.4 = $20,563, rounded to $20,500. Cap check: the creator's paid-integration rate card is $8,000, so 5× cap = $40,000. We are under the cap — number stands.

Every walkthrough above uses the exact multiplier ranges bounded earlier in this pillar. Run any of them yourself in the EMV calculator.

EMV is not a substitute for share of voice, reach, or raw impressions — it is a translation layer that puts them on a dollar axis. Serious PR dashboards report all four side by side because each answers a different question a leadership team actually asks.

• Reach / impressions. Answers "how many people were exposed?" Raw audience number. No dollar value, no quality adjustment. Best for top-of-funnel awareness reporting.
• Share of voice (SOV). Answers "how much of the category conversation did we own versus competitors?" Reported as a percentage of tracked mentions in a defined competitive set. Best for competitive positioning and category-leadership narratives.
• Sentiment mix. Answers "was the coverage positive, neutral, or negative?" Reported as a percentage split. Best for reputation risk monitoring and crisis reporting.
• EMV. Answers "what would this exposure have cost to buy?" Reported in dollars. Best for budget justification, cross-channel comparison, and finance-facing reports.

A dashboard that reports only one of the four is a dashboard that hides tradeoffs. A team can have rising EMV and falling share of voice at the same time — that means competitors are landing more coverage even while the individual placements you land are high-quality. A team can have flat EMV and improving sentiment — that means the same volume of coverage is becoming more favorable, which usually predicts branded-search lift within one to two quarters. The four metrics only make sense together.

Most EMV reports fail the same five ways, and each one is fixable in a single reporting cycle. Auditing an existing report against this list is the fastest way to find out whether the number in the deck is defensible or decorative.

1. Unsourced CPMs. The report cites "estimated CPM" or "standard rate" without a link. Fix: replace every CPM with a WordStream, IAB, AdvertiseCast, or rate-card citation the reader can open.
2. Unbounded multipliers. A single placement carries a 10× or 20× quality multiplier because the outlet is "prestigious." Fix: cap quality at 3×, note outliers separately, defend the placement in prose.
3. Missing sentiment. Every placement scored 1.0 sentiment regardless of framing. Fix: score sentiment on every row, allow negative values, document the scoring method (human, tool, or hybrid).
4. Double-counting. Syndicated versions of the same wire story counted as separate placements at full impressions. Fix: attribute impressions to the originating placement, note syndication as a footnote, avoid stacking.
5. No downstream signals. The report shows EMV in isolation with no branded search, direct traffic, or pipeline data. Fix: add three downstream columns (branded impressions, direct sessions, attributed pipeline) on the same page — never in a separate deck.

A useful self-check: if a finance reviewer opened the report and asked to see the source for a single number chosen at random, could the PR team produce it in under 60 seconds? If yes, the report is defensible. If no, the report is a story dressed up as measurement.

There is no universal EMV benchmark — the useful comparison is against the same brand's own trailing quarters and against the paid-media budget the brand would otherwise spend to generate equivalent exposure. That said, patterns emerge by category, and knowing the pattern helps calibrate expectations.

• B2B SaaS. EMV concentrates in trade press, analyst coverage (Gartner, Forrester), and category podcasts. Quality multipliers skew high because trade authority matters more than raw reach. Expect fewer, higher-value placements.
• Financial services. EMV concentrates in tier-1 business press (WSJ, Bloomberg, Reuters, FT) and broadcast (CNBC, Bloomberg TV). Sentiment scoring matters more here than any other category because regulatory framing can invert value overnight.
• Consumer / DTC. EMV concentrates in lifestyle press, creator content, and social amplification. Engagement multipliers skew high because product-in-hand reviews outperform display ads by a wider margin.
• Healthcare and biotech. EMV concentrates in scientific press and specialist trade. Quality multipliers are extreme (a single Nature or JAMA mention can outscore a full month of general press). Sentiment and accuracy scoring are non-negotiable — a misquote inverts value.
• Professional services. EMV concentrates in bylined thought leadership, expert quotes, and podcast appearances. Engagement multipliers on bylines are typically 1.5×–2× because the coverage is substantively authored.

Rather than compare EMV to an external benchmark, compare it to two internal ones: the brand's own trailing four-quarter EMV trend and the paid-media budget the brand would otherwise spend to generate the same exposure. If earned EMV is running at 2×–4× the equivalent paid spend, the program is working. If it is running below 1×, the coverage mix, the multiplier discipline, or both need a review.

A working EMV tracking system has four layers, and every layer can be assembled from tools most PR teams already own. The order matters — skipping a layer produces a report that looks polished but fails under scrutiny.

1. Placement capture. Cision, Muck Rack, Meltwater, or Google Alerts + a shared inbox. Capture every mention with URL, publish date, outlet, and headline. This is the raw feed.
2. Impression enrichment. Similarweb, publisher media kits, or the outlet's own analytics for reach data. Attach one impression source per placement — never estimate without a link.
3. Multiplier scoring. A shared spreadsheet or Airtable base where every placement gets engagement, quality, and sentiment scored with a documented reason. Two-person review on tier-1 placements catches inflation before it enters the report.
4. Reporting layer. A monthly rollup (Sheets, Looker Studio, or the client's BI tool) that shows per-placement rows, tier subtotals, trailing 90-day trend, and downstream signal columns (branded search, direct traffic, pipeline).

For teams tracking AI-surface citations as an EMV adjustment, add a fifth layer: Profound, Otterly, or AthenaHQ feeding a citation column that triggers the 1.2×–1.5× multiplier. Our tooling guide walks through specific stack combinations for teams of different sizes.

The system should be boring by design. If reproducing last quarter's number requires anyone's memory or interpretation, the system is not yet a system — it is a habit dressed up as one. A defensible EMV program is one where a new analyst could rerun the previous quarter's numbers from the raw feed in a single afternoon.

EMV has real limits, and stating them in the report is what separates a serious measurement program from a marketing exercise. Every framework has failure modes; hiding them is what killed AVE.

• EMV is an exposure proxy, not a business outcome. A rising EMV number does not, on its own, prove pipeline, revenue, or brand equity moved. Pair it with outcome and impact metrics or the number floats.
• EMV underweights small, high-fit audiences. A 5,000-download podcast in the exact buyer segment can outperform a 500,000-impression national piece on real business outcomes. EMV will score the national piece higher every time. Note this in the report; do not overcorrect.
• EMV cannot fully capture creator and influencer content. Parasocial trust breaks the CPM comparison. A single creator mention can move product velocity in ways display ads cannot. Track separately with dedicated creator KPIs.
• EMV struggles with private or dark-social sharing. Newsletter forwards, Slack shares, and WhatsApp pass-alongs generate real exposure that nothing in the formula captures. Accept the gap; report the visible number honestly.
• EMV can be gamed. Any metric a team is compensated on will be optimized. Rotate the reviewer, publish the methodology, and audit multipliers quarterly to keep the number honest.

Reporting these limits in a one-paragraph "assumptions and caveats" section at the top of the deck is the highest-leverage credibility move a comms team can make. Finance leaders trust reports that admit their limits far more than reports that hide them.

1. AMEC Barcelona Principles 3.0 — the international standard for communications measurement; formally rejects AVE.
2. Institute for Public Relations — measurement research library and position statements on AVE.
3. Public Relations Society of America (PRSA) — professional standards on earned media measurement.
4. International Communications Consultancy Organisation (ICCO) — global agency federation aligned with Barcelona Principles.
5. Edelman Trust Barometer — annual research on media trust and credibility differentials.
6. WordStream Google Ads benchmarks — published CPM benchmarks by industry.
7. WordStream LinkedIn Ads benchmarks — published LinkedIn CPMs.
8. AdvertiseCast Podcast Advertising Rates — published podcast CPM ranges.
9. Interactive Advertising Bureau (IAB) — industry reports on digital display and programmatic CPMs.
10. Smart Money Media: PR Strategy pillar — the strategy layer that produces the coverage EMV measures.
11. Smart Money Media: Media Placements pillar — how earned placements are actually landed.
12. Smart Money Media: GEO & AI Search KPIs pillar — measurement of AI-surface citation share.
13. Smart Money Media: Zero-Click Marketing pillar — why earned media compounds differently in the AI-search era.