Sim Aulakh works in B2B technology public relations, helping companies earn relevant media coverage by connecting their expertise to stories reporters are already covering. Their posts also explain how companies can use that coverage to build trust with buyers and support sales.
Sim Aulakh is most useful for signal-based B2B technology PR that earns trade coverage sales teams can use.
Best for
A B2B PR agency or mid-stage health tech company targeting hospital system buyers.
Not for
Consumer wellness brands seeking paid LinkedIn sponsorship, fixed creator rates, media kits, or reach guarantees.
Key takeaways
Pitch the story a reporter is already covering, not the story you want to tell.
A trade publication often does more for a buyer than a national logo.
A placement is only worth what sales does with it.
Check first: Confirm audience demographics, engagement data, scope, pricing, and turnaround before contacting them.
Main ideas
Pitch the story a reporter is already working on, not the story you want to tell · A trade publication often does more for a buyer than a national logo · Earn the citations that AI answers are built from
Sim Aulakh writes about B2B technology public relations: how to connect a company’s expertise to stories journalists are already covering, and how to put earned coverage to work with buyers.
Their posts describe this work through EstablishCred, a business focused on earned media for B2B technology companies.
The focus is finding a timely, relevant story and building credibility that sales teams can use.
Aulakh makes signal-based pitching concrete.
In a HealthTech example, the team tracked hospital-cost coverage and noticed a Becker’s Hospital Review reporter had published three related articles in ten days.
They reframed a client’s pitch around hospital revenue leakage, tied it to a case-study statistic and budget-planning timing, and describe the resulting coverage being used in sales follow-ups.
Other posts add an important check: a company should have real standing to speak on a trending story, rather than joining it just for attention.
Aulakh also argues that coverage needs a follow-through plan—such as equipping sales teams to use a trade feature—not just a place on a press page.
Readers interested in practical B2B PR can follow the work for examples of story selection, pitch framing, and connecting media coverage to buyer trust.
Sim Aulakh's public writing makes one argument in several forms: earned media works when it's built around what reporters are already covering and then put to work in a sales process, rather than generated from a media list and left as a logo.
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Their pitches draw on a specific reporter's recent output, a client's documented standing in that story, and a position rather than a product claim. More recently, Aulakh frames earned coverage as raw material behind AI search answers, adding a new job to PR work they describe as already under way.
Pitch the story a reporter is already working on, not the story you want to tell
Aulakh's central idea is that reporters respond to timing and relevance, not credentials, volume, or a long relationship.
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They describe the standard agency sequence as building a static media list, personalizing the first sentence, blasting it to 200 reporters, following up twice, and calling it effort — "volume disguised as value."
Instead, track what individual reporters publish, find a pattern in their output, and pitch a story that continues a conversation they're already having.
The pitches described go to one reporter, carry no attachments, and reference their recent article plus a specific fact.
Aulakh contrasts two pitches.
If a journalist has just published "AI is reshaping mid-market manufacturing," a note saying your CEO is available to talk about innovation is invisible.
A note saying "You recently covered AI adoption in manufacturing.
What hasn't been explored yet is how mid-market players are using AI for revenue acceleration, not just efficiency" continues the conversation instead of interrupting it.
The same logic applies to founders who think their company is "not a story": reporters cover what's happening — a regulation, a layoff, a survey, a competitor's funding round — so the job is to connect the client to a live news moment.
A trade publication often does more for a buyer than a national logo
Authority, in Aulakh's argument, is contextual.
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A cybersecurity buyer trusts Dark Reading, an HR leader trusts HR Executive, and a manufacturing buyer trusts IndustryWeek.
The niche publication, not the national one, builds category authority with the people who sign contracts.
Aulakh splits this into layers: top-tier outlets such as Forbes, Inc. or CIO create an instant credibility signal that lowers resistance; trade publications carry the middle-of-funnel weight; AI citations now handle late-stage validation.
Most B2B companies underinvest in the buyer-facing trade layer because the national logo is more satisfying to collect.
Aulakh writes that for a health tech company, a placement in a health tech trade publication often carries more weight than Forbes because that's where the actual buyers are reading. Those buyers then encounter the coverage again when they validate vendors.
Aulakh argues that buyers now ask ChatGPT, Perplexity, Gemini, or Google for vendor recommendations before talking to sales, and that those systems pull from third-party earned sources rather than owned pages, sponsored placements, or press releases.
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In this account, press releases alone don't move the needle, sponsored content gets ignored, and brand-owned blogs carry limited authority on their own. The practical instruction is to build coverage in the sources these systems retrieve and treat the resulting citations as a deliverable with a place in the buying process.
Aulakh cites Muck Rack's Earned Media Report for the figures that 94% of links cited by AI are non-paid media and 82% come from earned sources such as news articles, third-party blogs, and industry analysis. A separate post describes a fintech client where Perplexity appeared as a pipeline source in the CRM for the first time after coverage was built — a research channel became measurable revenue attribution.
Earlier posts present earned coverage mainly as a way to shorten sales cycles and reduce buyer risk. Later material reframes earned media as an input to AI-generated recommendations, making it a search-visibility and late-stage-validation task as well as a sales task.
Aulakh argues that a feature produces nothing on its own.
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Marketing hands sales polished claims instead of market validation, so account executives rebuild credibility from scratch on every call, handling every objection and every "why should we trust you over the bigger vendor?" live in the meeting.
The fix is to embed coverage at each deal stage: trade features in follow-ups, podcast clips in outbound, top-tier articles to remove perceived risk in committee, and AI citations when buyers validate vendors.
The failure mode is a link sitting unused on a press page.
In the health tech case, the Becker's Hospital Review feature went into outbound sequences within 30 days, enterprise prospects referenced the article on calls, branded search lifted, and one previously stalled hospital deal re-engaged. Aulakh's counter-example is a sales team that forgets to use the article in follow-ups.
Pitch only when the client has real standing — then take a position
Before writing anything, Aulakh runs a signal through a filter they call standing, rated strong, partial, or none; only strong moves forward.
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The point is to avoid newsjacking a story the client has no business being in — when AI regulation drops, "400 SaaS companies have a take," and reporters can tell.
A companion idea: reporters respond not to what a product does but to what a perspective reveals, so the pitch should carry an angle rather than a feature list.
Aulakh describes a client running AI across legal and procurement for global enterprises.
While enterprise AI coverage framed governance as the brake on innovation, the client's own experience pointed the other way: the companies moving fastest with AI had the strongest governance.
Aulakh's team built the contrarian angle around the CEO's line "AI doesnt make decisions, people do" and sent one pitch to one Forbes reporter whose recent work fit.
The resulting piece, with the CEO quoted throughout, is described as published July 2, 2026.
Buyers look up the people behind a company before they engage, so a visible founder makes every other channel work harder: paid ads perform better because the name is recognized, outbound gets more replies, content gets more engagement, and referrals are easier to make confidently.
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Aulakh frames this as a multiplier on top of the other channels rather than one more channel, and treats an invisible executive team as a trust bottleneck in enterprise deals.
Aulakh walks through a buyer's behaviour: sees an ad, gets an email, visits the site, then searches the founder and leadership team to answer one question: "Are these people worth listening to?" The same post notes that a top-tier feature travels further when there's a person attached to the story.
Measure the work on pipeline, not clip counts — and be candid about the job
Aulakh's firm describes its operating model in the posts: former tier-1 journalists write the pieces, no junior account managers learn on a client's budget, no sponsored coverage, and measurement on coverage and pipeline rather than volume of clips.
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The model's argument is that a placement starts the work; it doesn't end it. The firm repurposes one article into many sales touchpoints and explains why a press release won't close enterprise deals.
A post built around The Devil Wears Prada 2 sketches the unglamorous version of the job: rewriting a founder quote late on a Saturday night, pitching 47 journalists for two replies that both ask whether it's sponsored, and handling clients who want Forbes but also want it not too salesy, focused on revenue, and viral. The post also shows Aulakh acting as a connector, not just a vendor: they relay two Fast Company features in development — on manufacturing AI infrastructure and on AI pay packages that factor in marital status — and invite PR and comms contacts to send relevant experts.
What does signal-based pitching look like when the buyer is a hospital CFO?
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Sim Aulakh describes a mid-stage HealthTech client selling into hospital systems.
Instead of sending a generic pitch about innovating patient care, the team watched for market signals: reporter coverage trends, funding announcements, CMS reimbursement updates, and stories about workforce shortages and margin pressure.
A Becker's reporter had published three articles in ten days on hospital margin compression, digital tools reducing operational waste, and CFO-led cost containment.
The team treated that topic velocity as the signal, not the outlet.
They reframed the client's story as 'How Hospital CFOs Are Recovering 7-Figure Revenue Leakage Without Adding Staff' and sent a pitch that referenced the reporter's recent margin-focused article, a specific stat from a hospital case study, and why the timing mattered during budget planning season.
The response came in 48 hours.
Within 30 days, the sales team added the feature to outbound sequences, enterprise prospects referenced it on calls, branded search lifted, and one stalled hospital deal re-engaged.
For brands planning a campaign
For a health tech campaign aimed at hospital CFOs, this is the closest template in the posts. It shows a repeatable approach: monitor what a reporter is writing about, reframe the product around the financial pressure they’re covering, pitch with a specific reference and timely reason, then give sales a reason to use the placement in outbound sequences.
How does a company get into Forbes without a major announcement?
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Sim Aulakh describes a client that runs AI across legal and procurement for global enterprises.
That summer, every enterprise AI article framed governance as the brake on innovation, but the client saw the opposite: the companies moving fastest with AI were the ones with the strongest governance.
Their engine flagged the governance narrative as it peaked.
The team built a contrarian angle around the client's CEO's real experience and the line 'AI doesnt make decisions, people do.' They sent one pitch to one Forbes reporter whose recent work fit the angle.
The result was 'Why AI Governance Is Becoming A Corporate Competitive Advantage,' published July 2, 2026, with the CEO quoted throughout.
A companion post adds the filter they use before writing: every signal is rated for standing as strong, partial, or none, and only strong moves forward.
For brands planning a campaign
A health tech client can test the same move: find the live consensus in hospital trade coverage, then show where the client's first-hand experience contradicts it. The method makes timing, standing, and a well-matched reporter central to the pitch.
Sim Aulakh lays out the old model: build a static media list, draft a generic pitch, personalize the first sentence, blast it to 200 reporters, follow up twice, and call it effort.
They argue that this is volume disguised as value: journalists now publish faster, cover narrower beats, track real-time industry shifts, and instantly ignore templated outreach.
The core problem is that traditional PR pushes messages while modern media rewards signal alignment.
For example, if a journalist just published 'AI is reshaping mid-market manufacturing,' a pitch about your CEO being available to talk about innovation is invisible.
A pitch that says 'You recently covered AI adoption in manufacturing.
What hasnt been explored yet is how mid-market players are using AI for revenue acceleration, not just efficiency' continues the conversation instead of interrupting it.
The post lists the replacement capacities: industry signal detection, beat-level journalist mapping, article pattern analysis, gap identification, engineered story angles, and contextual pitch crafting.
For brands planning a campaign
Use this as the diagnostic before a health tech campaign.
If the pitch could have gone to any health tech reporter last year, it follows the old model.
The replacement is beat-level mapping and a pitch that continues a specific reporter's conversation.
What kinds of angles actually get reporters to reply?
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Sim Aulakh argues that reporters respond not to what a product does but to what a perspective reveals.
The post lists seven pitch angles with example lines.
The enemy angle calls out a problem buyers silently hate.
The hidden-cost angle exposes a consequence leaders overlook, such as the quiet cost of poor RevOps alignment being CFO distrust, not pipeline leakage.
The macro-shift angle connects a niche to an industry-wide change.
The counterintuitive angle flips a market belief, such as 'Your product isnt losing deals.
Your lack of third-party credibility is.' The underdog-data angle shares a stat that contradicts the narrative.
The prediction angle forecasts a shift buyers can already feel.
The first-mover angle shows why something matters right now.
With a strong angle, they say, you stop sounding like a vendor and start sounding like a source.
For brands planning a campaign
For health tech, the hidden-cost and counterintuitive angles are immediately usable: expose a financial consequence hospital leaders overlook, or flip the belief that the best product wins. The examples show how to make an angle specific enough to pass a reporter's relevance test.
Why is earned media suddenly an AI visibility issue?
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Sim Aulakh cites Muck Rack's Earned Media Report: 94% of all links cited by AI are non-paid media, and 82% come directly from earned sources such as news articles, third-party blogs, and industry analysis.
They argue that PR work no longer sits beside the AI ecosystem; it powers it.
In enterprise buying cycles, a buyer hears about a company and then searches in ChatGPT, Perplexity, Gemini, or Google.
Brands that keep appearing across trusted media sources become the safest choice in the room.
Press releases alone do not move the needle, sponsored content gets ignored, and brand-owned blogs have limited authority by themselves.
They note that some smaller B2B companies are suddenly outranking much larger competitors inside AI-generated answers because they earned visibility in the right places.
For brands planning a campaign
For a health tech client, a trade publication placement may matter more than a top-tier logo because AI tools may pull from it when a hospital CFO asks for vendor recommendations. Treat AI citation as a measurable bottom-of-funnel outcome, not a vague brand benefit.
What should a company do with a placement after it publishes?
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Sim Aulakh says most B2B tech PR strategies stop at the top of the funnel.
Press releases go out, coverage gets shared, traffic spikes, then nothing.
Awareness alone does not move deals; the middle and bottom of the funnel do, but only if teams use coverage inside the pipeline.
At the consideration stage, trade publications speak directly to the buyer's problem, while industry podcasts add depth and point of view.
The common miss is treating these as nice-to-have exposure instead of sending trade features in follow-ups, using podcast clips in outbound, and equipping account executives with industry-specific credibility.
At the decision stage, top-tier features remove risk in enterprise conversations and AI citations show up when buyers validate vendors.
Winning teams embed PR into every stage and conversation instead of leaving links on a press page.
For brands planning a campaign
The health tech campaign should include a sales-enablement plan from the start: which trade feature goes into which follow-up, which podcast clip goes into outbound, and which top-tier feature helps remove risk in an enterprise conversation.
How do you avoid newsjacking that damages reporter relationships?
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Aulakh says the fastest way to damage a reporter relationship is to newsjack a story you have no business being in.
Every trending story tempts brands to jump in.
When AI regulation drops, suddenly 400 SaaS companies have a take, and reporters can smell it instantly.
Before writing a word, they run every signal through a filter they call standing, rated strong, partial, or none; only strong moves forward.
In one example, every enterprise AI piece framed governance as the brake on innovation, but a client running AI across legal and procurement for global enterprises had real standing to argue the opposite.
The team pitched the contrarian angle, and it ran in Forbes with the CEO quoted throughout.
Aulakh uses three questions to decide in under ten minutes whether a client has the right to be in a story.
For brands planning a campaign
Before pitching a hospital cost or AI governance story, score the client's standing. If it is partial or none, collect missing primary evidence or choose a different angle rather than add another generic take.
What is the day-to-day reality behind the case studies?
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Aulakh uses the release of The Devil Wears Prada 2 to contrast the glamorous image of PR agency life with the actual work.
In their version, it is Saturday night at 11:47pm, and the founder quote is being rewritten because it is not visionary enough.
You pitch 47 journalists and two reply, both asking if it is sponsored.
Clients say they want Forbes, but also not too salesy, focused on revenue, thought leadership, and viral.
Sales teams forget to use the article in follow-ups.
Landing coverage is when the real work starts: repurposing, turning one article into ten sales touchpoints, and explaining again why a press release will not close enterprise deals.
Aulakh says the difference between a good PR firm and one clients complain about is treating media as a system rather than a moment.
For brands planning a campaign
This sets expectations for the health tech engagement: placement starts the work, rather than ending it. The campaign plan should budget for repurposing, sales enablement, and the unglamorous follow-through that makes a feature useful.
Signal-based pitching instead of static media lists7
Earned media as the input to AI search answers6
Coverage as sales enablement, not awareness6
Trade publications often matter more than national logos4
Founder visibility as a multiplier on other channels4
Pitch angles, and a standing test before pitching4
Named case studies and what happened after publication3
How the firm describes its operation2
Sharing open media opportunities with the PR community1
Signal-based pitching instead of static media lists
The posts repeatedly argue that reporters respond to timing and relevance, not credentials, volume, or a long-standing relationship.
Read more
Aulakh rejects the standard agency sequence — build a list, personalize the first sentence, send it to 200 reporters, follow up twice — in favor of tracking individual reporters' output, spotting topic patterns, and pitching a story that continues a conversation already underway. The approach is usually to pitch one reporter, without attachments, referencing their recent article and a specific piece of supporting evidence.
Track a target reporter's output for topic velocity, then frame the client's story around a pressure the reporter is already covering, not a product or launch. In the clearest example, a health tech platform becomes a hospital CFO revenue-leakage story after a Becker's reporter publishes three articles in ten days on margin compression, operational waste, and CFO-led cost containment.
For brands planning a campaign
For a health tech brief aimed at hospital CFOs, build the pitch around what a health-system reporter has published recently — margin pressure, cost containment, workforce shortages — and connect the client's data to that tension instead of announcing a platform.
Trade publications often matter more than national logos
Aulakh argues that authority is contextual: a health system executive trusts a health-system trade, a security buyer trusts Dark Reading, and an HR leader trusts HR Executive.
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National outlets create an initial credibility signal, trade outlets build category authority and carry more weight with contract signers, and AI citations provide late-stage validation. The posts repeatedly say most B2B companies underinvest in this middle, buyer-facing layer.
Aulakh does not dismiss national press. One post assigns top-tier outlets the job of reducing buyer resistance fastest, making the argument about their relative weight for a specific audience, not abandoning Forbes-style coverage.
For brands planning a campaign
For a hospital-CFO brief, target Becker's Hospital Review and comparable health-system trades first; treat a national outlet as a secondary credibility add, not the goal.
The clearest shift across the posts is their focus on buyers asking ChatGPT, Perplexity, Gemini, and Google for vendor recommendations before talking to sales.
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Those systems pull from third-party earned sources rather than owned pages, sponsored placements, or press releases.
One post cites Muck Rack's Earned Media Report for the claim that 94% of AI-cited links are non-paid and 82% come from earned sources.
Another describes a fintech client where Perplexity appeared as a pipeline source in the CRM for the first time after coverage was built.
Build coverage in the third-party sources these systems retrieve; press releases, sponsored council posts, and brand-owned blogs are not enough on their own.
For brands planning a campaign
Frame the placement as a citation asset as well as a logo: appearing in the third-party sources AI systems return for queries such as "who solves X for hospital systems" is a stated deliverable, not a side effect.
Aulakh repeatedly argues that a placement pays off only when the sales team uses it.
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They describe sales reps carrying the trust burden on calls because marketing supplies claims instead of third-party validation, and lay out stage-by-stage use: trade features in follow-ups, podcast clips in outbound, top-tier articles to reduce perceived risk in committee, and AI citations when buyers validate vendors. The failure mode is coverage left as an unused link on a press page.
For brands planning a campaign
Include mid-deal use in the deliverables — outbound sequences, follow-up templates, and re-engagement of stalled deals using the article — as in the Becker's health tech case.
Founder visibility as a multiplier on other channels
Buyers look up the people behind a company before engaging, so founder coverage can strengthen paid, outbound, content, and referral efforts.
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Aulakh frames it as a multiplier, not another channel, and treats an invisible executive team as a trust bottleneck in enterprise deals.
For brands planning a campaign
Pair the company placement with founder bylines, quotes, or podcast appearances so the health tech CEO appears in the research a hospital CFO or committee member does before a first call.
Two connected methods: one post lists seven repeatable angles — enemy, hidden cost, macro shift, counterintuitive, underdog data, prediction, and first-mover — each with a worked example.
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Another rates whether a client has standing in a story (strong, partial, or none) and pitches only when standing is strong. Its example is an enterprise AI client that runs AI across legal and procurement and takes a contrarian line against the prevailing "governance slows innovation" consensus.
For brands planning a campaign
Give the health tech pitch a point of view, not a product claim. Before positioning the client in a margin or cost-containment story, check whether they have documented operational evidence in hospital settings.
Named case studies and what happened after publication
Aulakh publishes specific client stories.
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A mid-stage health tech company selling into hospital systems placed in Becker's Hospital Review after a reporter published three articles in ten days on margin compression, digital tools reducing operational waste, and CFO-led cost containment.
The post claims the article went into outbound sequences, was referenced by enterprise prospects on calls, lifted branded search, and re-engaged one stalled hospital deal.
A Series A cybersecurity startup was placed in DarkReading and ITProToday.
An enterprise AI client's CEO was quoted throughout a Forbes piece on AI governance as a competitive advantage, described as published 2 July 2026.
For brands planning a campaign
Sim Aulakh's posts describe a health tech placement aimed at this exact buyer set, giving a campaign targeting those buyers a described approach to follow rather than a new one to test.
Sharing open media opportunities with the PR community
One post shares two Fast Company features in development and invites PR and communications contacts to send relevant experts, with direct messages as the route in.
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The topics are manufacturing AI infrastructure and AI compensation terms that factor in an executive's marital status. It highlights a connector role alongside client work, bringing reporters and expert sources together, including for non-clients.
For brands planning a campaign
A useful low-commitment entry point for a brand, but supply and timing are unpredictable, and the opportunity is not scoped to a specific client outcome.
Several posts outline the working model: former tier-1 journalists write the pieces; there are no junior account managers learning on a client's budget, no sponsored coverage, and measurement focuses on coverage and pipeline rather than clip counts.
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A separate humorous post lays out the unglamorous side: rewriting a founder quote late on a Saturday, 47 pitches for two replies, clients asking for Forbes while also asking that coverage not sound salesy, and a sales team that forgets to use the article.
For brands planning a campaign
Sets expectations for an engagement: a small senior team will use its reporter relationships on the client's behalf, and is willing to be measured on deal outcomes rather than clip volume.
The only business Sim Aulakh names in the posts is EstablishCred, a B2B tech PR firm whose work they describe in first person (“we,” “our process,” “we built”).
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Client names are almost never given; the posts refer only to unnamed clients.
Forbes, Becker's Hospital Review, and Dark Reading appear as publications where client coverage was placed, not as sponsors, affiliates, or clients.
The posts mention no sponsorship, affiliate, or investment relationships.
Ask for their title and any ownership, compensation, or client relationships.
EstablishCred
Disclosed partnership
Aulakh writes about EstablishCred as an insider, describing its pitching process, its CredSignal Engine, client outcomes, and hiring.
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The posts say “we” but do not state their role, ownership stake, or employment arrangement. Ask them to clarify their relationship to the business.
Aulakh describes placing a health tech client—a mid-stage company selling to health system CFOs, chief medical officers, and digital transformation leaders—in Becker's Hospital Review after matching the client's story to a reporter's run of articles on hospital margin pressure.
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The publication is a placement target for agency work, not a sponsor, affiliate, or client.
Aulakh describes placing an enterprise AI client in Forbes with a contrarian governance angle, stating the article ran July 2, 2026, with the client's CEO quoted throughout.
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A second post also says the CEO was quoted throughout the piece. Forbes is a publication where agency client coverage appeared, not a sponsor or client.
Aulakh describes mapping the pitch for a Series A cybersecurity client to conversations already running in Dark Reading and ITProToday, and says the client secured placements in the publications its buyers read.
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The publications are coverage targets, not sponsors or clients.
Explore Sim Aulakh’s posts on signal-based pitching, reporter relevance, trade-publication credibility, AI search visibility and turning coverage into sales support.
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The Becker’s Hospital Review health tech example connects a hospital buyer’s financial pressures to a reporter’s recent coverage, then shows how the published feature was used in sales follow-up.
For a different angle on business storytelling, Tim Clark writes about brand journalism inside enterprises; Tanveer Hassan applies signal-based thinking to outbound sales rather than media relations.
Todd Gregory offers a broader introduction to what public relations does and does not cover.
Both write about how companies earn credibility and make business stories useful to enterprise audiences.
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Clark reviews themes in brand-journalism stories, while Sim Aulakh explains how timely earned-media coverage can build buyer trust and support sales.
Clark’s examples focus on enterprise brand journalism and editorial trends; Sim Aulakh’s focus is earned media, reporter pitching and sales use of coverage.
Both explain signal-based approaches: Hassan uses business events to make outbound timely, while Sim Aulakh uses news and reporter activity to shape media pitches.
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Hassan’s examples center on prospect lists, messaging and outbound sequences; Sim Aulakh’s center on journalists, editorial angles and earned coverage.
Gregory’s explainer outlines PR’s role in earned coverage, messaging and reputation; Sim Aulakh offers detailed examples of pitching and using coverage.
Gregory’s post broadly introduces PR practice, while Sim Aulakh focuses on B2B technology, signal-led pitching and links between media coverage and pipeline.
For a campaign aimed at hospital CFOs and health system decision-makers, Sim Aulakh's posts do not show that their audience includes those buyers.
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The only measured audience figure available is a LinkedIn following of 5,996, observed 10 October 2026.
The 20 posts are written for B2B technology founders, marketing leaders, and PR peers: pitch breakdowns, agency case studies, and commentary for people who commission or run earned media, not hospital finance or clinical executives.
The clearest healthcare example, a HealthTech client placed in Becker's Hospital Review, shows healthcare is within the range of their work.
The post reports the placement and its downstream sales effects, not who saw it.
Before committing spend, ask for LinkedIn follower demographics covering geography, industry, and seniority, plus engagement data on the health-tech and healthcare-finance posts.
Without that data, treat the channel as a credibility and reach play for a health tech launch, not a direct route to hospital CFOs.
No sponsorship or creator-partnership formats are described in the posts.
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The commercial offer is service work from Aulakh’s B2B PR firm, EstablishCred, rather than paid placements on their own channels.
Posts describe a proprietary pitch system (CredSignal, also called the CredSignal Pitch Engine and CredStack Engine) and cite agency results, including a health-tech placement in Becker's Hospital Review, a Series A cybersecurity campaign tied to DarkReading and ITProToday, and a Forbes placement published July 2, 2026.
These are presented as client outcomes; the posts publish no rates, deliverable packages, disclosure practices, or media-kit terms.
For a brand buyer, the described relationship is an agency engagement in which Aulakh’s team runs accounts end to end and is measured on coverage and pipeline rather than clip counts.
Contact prompts are general, such as commenting a keyword or sending a direct message, not a verified partnership intake route.
Ask for the sponsor policy, available formats, pricing, scope, and turnaround: the posts publish no official policy, format list, or partnership inquiry page.
A B2B PR agency is assessing Sim Aulakh to run a signal-based earned media campaign for a mid-stage health tech company that sells into hospital systems.
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The buyers are hospital CFOs, chief medical officers, and digital transformation leaders.
The goal is coverage in the health-system press that the client's sales team can use in live deals.
This fits.
Aulakh describes the same job for the same buyer set.
In the closest case, the client was a mid-stage health tech company selling into hospital systems, the target was Becker's Hospital Review, and the pitch drew on what a specific reporter had published in the previous ten days about hospital margin compression, digital tools cutting operational waste, and CFO-led cost containment.
The angle shifted from a platform announcement to a financial-pressure story, and the article was then added to outbound sequences and follow-ups.
It is the same campaign need with a different client name.
The method carries over directly.
Aulakh's stated process is to track individual reporters rather than maintain a static list, map the client's story to a topic the reporter is already covering, and pitch one reporter with a reference to their recent work and a reason the timing matters.
Before writing, they apply a standing test — strong, partial, or none — so a client without experience in hospital finance would be steered toward a different angle rather than a generic take.
The channel strategy also fits: trade publications build category authority with the people who sign contracts, national outlets add credibility, and AI citations serve as late-stage validation.
For a campaign aimed at hospital CFOs, that is the right order.
What to watch: the client needs real support for its claims, such as hospital-side data, a case study, or operational numbers.
Without it, the standing test fails and the approach risks producing the spray-and-pray pitch Aulakh criticizes.
Aulakh's posts do not say whether their own following includes hospital finance or clinical executives, so ask for audience data if reach into that LinkedIn audience matters.
The value here is the agency process and the client's own coverage.
When to choose a specialist
A consumer wellness brand wants paid sponsored content on Sim Aulakh's LinkedIn, plus a fixed-slot creator partnership with published rates, a disclosure practice, a media kit, and reach guarantees for a product aimed at a general consumer audience.
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This does not fit.
Aulakh's posts describe no sponsorship or creator-partnership format: no rate card, deliverable package, sponsor policy, media kit, or partnership inquiry page.
The commercial offer is service work from the PR firm EstablishCred, not paid placements on their channels.
Contact prompts, such as commenting a keyword or sending a direct message, are general rather than a verified partnership intake route, so scope, pricing, and turnaround cannot be planned from what is published.
The audience information points the same way.
The one published figure is a LinkedIn following of 5,996 as of 10 October 2026.
No post reports reach, impressions, engagement, follower geography, industry, seniority, or age.
The content is aimed at B2B technology founders, marketing leaders, and PR peers: pitch breakdowns, agency case studies, and commentary for people who commission or run earned media.
The posts do not show a consumer buying audience.
A campaign seeking mass-reach consumer attention would pay for an audience the posts do not confirm exists and request a deliverable format they do not show Aulakh offers.
Ask whether Aulakh accepts sponsorships and what audience and delivery metrics they can provide.
The useful version of this campaign need, if one exists, is an agency engagement scoped around earned media outcomes and measured on coverage and pipeline rather than clip counts — the firm's stated working model — rather than a creator-side sponsored placement.
A worked campaign example
Worked campaign angle — health tech client, hospital CFO buyers.
Campaign need in one line: get a mid-stage health tech company selling into hospital systems into the trades hospital executives actually read, with an article the sales team can use in deals inside 30 days.
Step 1 — pick the target by beat, not by logo.
Name two or three publications read by health-system finance and operations leaders.
Use Becker's Hospital Review as the working example because Aulakh describes a placement there.
Identify specific reporters covering hospital finance, margins, and operations rather than pitching the outlet.
Step 2 — find the topic velocity.
Read those reporters' last two to three weeks of output and look for a repeated theme.
In the case Aulakh describes, the signal was three articles in ten days on hospital margin compression, digital tools reducing operational waste, and CFO-led cost containment.
That pattern, not the outlet name, makes the pitch timely.
Step 3 — run the standing test before writing.
Does the client have first-hand support for its claims in that theme — hospital-side numbers, a finance lead who has seen the problem, or a case where money or staff time was recovered?
Strong standing means pitch.
Partial or none means collect the missing primary information or choose a different angle; pitching anyway is the newsjacking that burns the relationship.
Step 4 — frame the angle as a pressure narrative, not a product claim.
The tested shape is a headline like "How Hospital CFOs Are Recovering 7-Figure Revenue Leakage Without Adding Staff," supported by a specific statistic from a hospital case study and a timely reason, such as budget planning season.
A hidden-cost or counterintuitive framing is the type Aulakh lists for when the product story cannot carry a pitch on its own.
Step 5 — send one pitch to one reporter.
Reference their recent margin-focused article, provide the specific supporting information, explain the timing, and leave out attachments and filler.
Aulakh's posts report a response time of 48 hours for this approach.
Step 6 — plan how to use the article before it publishes.
Specify which trade feature goes into follow-up emails, which clip goes into outbound, and which piece helps remove risk in a committee conversation.
Aulakh's posts say the sales team added the feature to outbound sequences, prospects referenced it on calls, branded search lifted, and one stalled hospital deal re-engaged.
Include the AI-citation goal as a stated outcome — getting the client into the third-party sources tools like ChatGPT and Perplexity return for questions such as "who solves X for hospital systems" — and treat it as a deliverable rather than a side effect.
Step 7 — pair it with founder visibility. Buyers look up the people behind a vendor, so add the CEO or a clinical lead as a quoted source, a byline, or a podcast guest, and build founder recognition before the first call.
Step 8 — measure against campaign goals, not volume.
Agree in advance on coverage in named trades, whether the article was used in deals, and whether the client appears in AI answers for the category query.
Clip count alone is not the measure.
What would change this plan: if the client's support for its claims in hospital finance is thin, the angle collapses at step 3 and the campaign should start by collecting that information.
If the client insists on a national outlet first, treat it as a secondary credibility add rather than the primary goal; Aulakh says trade publications carry more weight with the people who sign contracts.
The client outcomes and numbers are Aulakh's descriptions of EstablishCred's work, with no independent confirmation.
Ask the agency for a campaign budget, timeline, and pricing; Aulakh's posts do not publish them.
Choose Tim Clark when the weak point in a health tech campaign is the article itself, not the pitch.
Read more
For a campaign seeking earned coverage a sales team can use in hospital CFO conversations, Clark’s posts describe building and running brand journalism programs: reviewing a year’s worth of enterprise content published on Forbes for emerging patterns, and hiring journalists into brand editorial roles, including at SAP.
If the agency can already get a reporter’s attention but the executive byline or contributed piece reads like vendor marketing, Clark’s newsroom background is the better tool.
He is the stronger pick when the deliverable is a genuinely readable article carrying a named executive that holds up next to the trade publication it runs in, or when the agency wants reporters’ news judgment inside the client’s content pipeline.
The posts reflect on enterprise trends and journalists moving into brand roles, but do not document client pitching, reporter-beat tracking or landing a trade placement. Pairing Clark’s editorial work with Aulakh’s pitching method is closer to the needs of a campaign aimed at hospital CFOs than swapping one for the other.
Choose Todd Gregory when the obstacle is the client’s own leadership rather than the media.
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For a campaign seeking earned coverage for hospital CFOs, his explainer post makes a plain case for what public relations is and is not: earned credibility through independent coverage versus paid placement, what an outside firm provides, what results to expect, and why it is neither free nor immediate.
That is the conversation an agency has when hospital executives say “we need some PR on this” or ask whether a website launch is newsworthy.
He also describes 15+ years leading sales and marketing growth across energy, real estate, technology and manufacturing, including enterprise sales and partnership development.
He is the better choice when the agency needs to make the PR case in commercial language to a skeptical board, or when the engagement is expected to include business-development work alongside communications.
The posts show no repeatable placement method or reporter-level pitching, and nothing connects to health systems, hospital finance or trade press.
Aulakh’s second post is an open-to-work notice listing target roles; ask about their availability for commercial work.
As a substitute for a campaign seeking earned coverage for hospital CFOs, the posts offer client education and commercial range, not a route into the publications those buyers read.
Choose Tanveer Hassan when the weak link in the same campaign is the outbound side—turning a published feature into pipeline touches.
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His posts argue that good copy cannot rescue bad timing and lay out a signal-based outbound framework: no signal, no send; find the trigger, match the message, build the sequence around the pressure, layer channels, tag every lead by reason-to-buy in CRM.
He lists the trigger types he works from, including a funding round, a leadership hire, a compliance deadline, a competitor move and an unfilled role.
For a health tech campaign seeking earned coverage for hospital CFOs, that is the work that comes after publication: getting the trade feature into sequences and follow-ups, and making sure the sales team works accounts with a live trigger rather than sending generic email.
Aulakh’s signals are purchase-intent triggers for prospecting, not editorial signals for reporters.
The posts show no media relations, earned coverage or trade-publication placement.
Ask how they would handle reporter-beat tracking and topic velocity to secure coverage in hospital trade press.
Taking their framework without the pitching half produces well-targeted outbound with nothing earned for the sales team to reference.
The page describes 20 LinkedIn posts attributed to Sim Aulakh, plus a public LinkedIn account listing of 5,996 followers dated 10 October 2026.
The posts describe pitching method, client examples at Becker's Hospital Review, Dark Reading, ITProToday, and Forbes, the firm's own operating model, and earned media as an input to AI-generated vendor recommendations.
Three comparator creators' example posts show similar and different approaches.
What the posts do not settle is stated where it matters rather than smoothed over.
The posts carry no visible publication dates of their own, so the order of ideas rests on content and one dated event — a Forbes placement described as published 2 July 2026.
Client results, response times, quoted industry figures, and outcome claims are Aulakh's own published accounts of the firm's work, with no independent confirmation.
Sim Aulakh's relationship to EstablishCred is written about in the first person, but the posts do not state a title, ownership stake, or employment arrangement.
The posts contain no audience demographics, reach, engagement, or follower geography; no sponsorship or creator-partnership terms, rates, or inquiry route; and no information about signature books, shows, or earlier career work.
Where the campaign-fit section discusses creator-side paid placement, it notes that the posts do not document an offer, not that none exists.
Content that would change the picture is named as a gap: dated post records, audience data, and any sponsorship policy or partnership terms would all need to be gathered directly before those questions could be answered.