--- title: "Press Release Strategy for SaaS Companies, and What a Release Reaches in AI Answers" description: "How SaaS companies use press releases in 2026, and what the Machine Relations Index measured: wire services reach enterprise software AI answers in six news runs of 596 and one buyer-shape slot, and the outlets a release is meant to earn are thinner still." canonical: https://authoritytech.io/industries/saas/press-release last-updated: 2026-09-23 --- # Press Release Strategy for SaaS Companies, and What a Release Reaches in AI Answers How SaaS companies use press releases in 2026, and what the Machine Relations Index measured: wire services reach enterprise software AI answers in six news runs of 596 and one buyer-shape slot, and the outlets a release is meant to earn are thinner still. Canonical URL: https://authoritytech.io/industries/saas/press-release Updated: 2026-09-23 A press release does two jobs for a SaaS company: it gives a journalist a reason to cover you, and it forces you to say in plain words what is actually new. What it does not do, on the evidence, is make your company a source in AI answers. In the September 18, 2026 release of the Machine Relations Index, the wire services that distribute SaaS press releases are cited on enterprise software news-shaped questions in six runs of 596 between them, and on the six enterprise software buyer-question shapes in exactly one slot: PR Newswire at #48 of 167 on best tools. The outlets a release is written to earn are thinner still on those questions. This page covers what a SaaS press release is for, how to write and place one, and where the release and the coverage it earns each land once the reader is a machine. ## Key Takeaways for SaaS Press Releases - The release itself is a wire document, and the Index measures the wire layer directly: businesswire.com, globenewswire.com and prnewswire.com reach enterprise software news answers in six runs of 596, and the whole wire and press-release class is 0.20% of every citation the Index recorded in 125 days — a figure that excludes prnewswire.com, which the release files as an editorial publication; counted where it belongs the class is ten domains and 0.37%. - The outlets a SaaS release is meant to earn (TechCrunch, Wired, Business Insider, VentureBeat, Reuters) reach enterprise software news answers in 11 runs of 596 between them and the buyer questions in none. Forbes is the exception, at #3 of 167 on enterprise software best tools. - Enterprise software buyer-question answers are made of ERP research sites, vendor pages, LinkedIn, Reddit, TechTarget and procurement vendors. A press program is track two of a two-track plan; the owned source page per buyer shape is track one. - A release still earns its keep as a discipline (what is new, for whom, why now) and as the factual scaffolding a reporter builds a story on. Write it for the reporter, distribute it on the wire for the record, and pitch the story directly. ## Where a SaaS Press Release Lands in AI Answers The [Machine Relations Index](https://machinerelations.ai/index) monitors six answer engines (ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity) on buyer prompts and records which root domains each answer cites. Release `mri_score_v2.0+2026-09-18+8fa38e54dd0a` covers 2026-05-10 to 2026-09-18, 125 days and 15,782 monitored answer runs. Each wire service has its own profile, which lists every category and question shape the domain was observed in: | Wire service | Cited runs, whole Index (of 15,782) | Enterprise software buyer-question standing | Enterprise software news-driven standing | |---|---:|---|---| | [PR Newswire](https://machinerelations.ai/index/domains/prnewswire.com) | 181 (1.15%), 74 of 125 days, six engines, Confidence B | Best tools #48 of 167 (4 of 101, 3.96%); not observed on the other five shapes | #1,076 of 1,375 (1 of 596, 0.17%) | | [Business Wire](https://machinerelations.ai/index/domains/businesswire.com) | 97 (0.61%), 50 of 125 days, six engines, Confidence C | Not observed | #319 of 1,375 (3 of 596, 0.50%) | | [GlobeNewswire](https://machinerelations.ai/index/domains/globenewswire.com) | 71 (0.45%), 35 of 125 days, four engines, Confidence C | Not observed | #494 of 1,375 (2 of 596, 0.34%) | | [PRWeb](https://machinerelations.ai/index/domains/prweb.com) | 5 (0.03%), collecting | Not observed | Not observed | | [EIN Presswire](https://machinerelations.ai/index/domains/einpresswire.com) | 4 (0.03%), collecting | Not observed | Not observed | | [Newswire.com](https://machinerelations.ai/index/domains/newswire.com) | 3 (0.02%), collecting | Not observed | Not observed | Two things to read carefully. First, the wires are not invisible to the engines: PR Newswire is cited on 74 of 125 days across all six engines, and its strongest segments are news-shaped (legacy news topics #20 of 4,025, cybersecurity news #46 of 1,340) and top-list shapes in other categories (cybersecurity #28 of 264, consumer finance #32 of 233, AI security #38 of 313). Inside enterprise software that footprint collapses to one buyer slot and one news run. Second, the release classifies prnewswire.com as an editorial publication and the other five as wire and press-release distribution; read as one layer, the class the Index labels wire and press-release distribution is nine domains cited in 226 answer runs over the window, 0.20% of every citation recorded, which Machine Relations reports in [its study of citation concentration](https://machinerelations.ai/research/how-concentrated-are-ai-citations-source-distribution-2026). Whatever a wire buys, appearing as a source in an AI answer is not measurably it. ## Where the Coverage a Release Earns Lands The case for a press release was never the wire. It was the editorial placement the release helps earn, on the theory that a trusted publication becomes a source the engines cite. That theory is measurable per outlet. Standard SaaS PR advice tells founders to compete for TechCrunch, Wired, Business Insider and VentureBeat, and to treat a Reuters or Business Insider placement as the thing that gets a brand cited by ChatGPT. Each outlet's Index profile says where the placement lands: | Outlet | Cited runs, whole Index (of 15,782) | Enterprise software buyer-question standing | Enterprise software news-driven standing | |---|---:|---|---| | [Forbes](https://machinerelations.ai/index/domains/forbes.com) | 649 (4.11%), Confidence A, #2 of 1,222 editorial | Best tools #3 of 167 (14 of 101, 13.86%); is it worth it #17 of 194 (6 of 107); comparisons #19 of 186 (7 of 114); how buyers choose #49 of 172 (3 of 99); not observed on problem-first or top lists | #24 of 1,375 (22 of 596, 3.69%) | | [TechCrunch](https://machinerelations.ai/index/domains/techcrunch.com) | 164 (1.04%), Confidence B, #9 of 1,222 editorial | Not observed | #190 of 1,375 (6 of 596, 1.01%) | | [Business Insider](https://machinerelations.ai/index/domains/businessinsider.com) | 99 (0.63%), Confidence C, #19 of 1,222 editorial | Not observed | #717 of 1,375 (1 of 596, 0.17%) | | [WIRED](https://machinerelations.ai/index/domains/wired.com) | 47 (0.30%), 13 of 125 days, four engines, Confidence C, #56 of 1,222 editorial | Not observed | Not observed | | [VentureBeat](https://machinerelations.ai/index/domains/venturebeat.com) | 46 (0.29%), Confidence C, #60 of 1,222 editorial | Not observed | #400 of 1,375 (3 of 596, 0.50%) | | [Fast Company](https://machinerelations.ai/index/domains/fastcompany.com) | 29 (0.18%), collecting | Not observed | Not observed | | [Reuters](https://machinerelations.ai/index/domains/reuters.com) | 13 (0.08%), three engines, collecting | Not observed | #1,110 of 1,375 (1 of 596, 0.17%) | | [Bloomberg](https://machinerelations.ai/index/domains/bloomberg.com) | 2 (0.01%), one engine, collecting | Not observed | Not observed | **How to read the editorial-class rank.** The editorial-class ranks in the table above are read off the Machine Relations Index's `source_role` field, which in the current release combines source-type evidence with AuthorityTech's placement catalog; 96 of the 1,231 class members are admitted through the catalog, and the Index is moving editorial classification to source-type evidence alone. The class currently includes six platform domains alongside edited newsrooms: medium.com (class rank 1), amazon.com (7), prnewswire.com (8), apple.com (16), wordpress.com (239) and blogspot.com (330). At the same time substack.com, beehiiv.com and dev.to — the same hosted open-publishing product as Medium — are filed as community platforms. Those six hold 1,358 of the editorial class's 13,525 cited runs, 10.04%, and they include the class's top slot. The class denominator also moves between releases (published figures carry 1,025 to 1,230) because it counts the domains classified in each release. Independent of class membership, citation rates, cited runs, days cited, engine breadth and confidence are direct per-domain observations over a fixed run set, and are the primary measure; read the rate first. See the MRI [methodology and update log](https://machinerelations.ai/research/ai-citation-index-correction-record-2026). Read together: Forbes is the one general-interest outlet with a real enterprise software buyer-question position, and it is strongest on one shape. TechCrunch is one of the most-cited news outlets in the whole Index and still reaches enterprise software news answers in six runs. WIRED, which this page once called one of the most cited sources across AI engines for technology topics on the strength of its domain authority, was cited in 47 monitored runs on 13 days across the whole Index, most of them consumer products and consumer health questions, and was not observed in any enterprise software segment. Reuters and Bloomberg, the two newsroom names a funding-round release is written to reach, are collecting at the domain level, with fewer than 30 cited runs each across the entire Index. Domain authority is a link-graph score; it is not what the engines are reading for on these questions. "Not observed" means the Index recorded no citation of that domain in that segment during the window; it is a statement about these monitored prompts on these six engines, not about every AI answer. Confidence tiers are domain-level; segment rows carry no tier of their own, and a citation is not evidence that the answer was supported by the source. ## What the Enterprise Software Answers Are Made Of If the wires and the business press are not the sources, something else is. The [enterprise software category](https://machinerelations.ai/index/categories/enterprise-software) has all seven question shapes published in this release, each with its own denominator: | Question shape | Runs | Most-cited source | Rate | What the top ten looks like | |---|---:|---|---:|---| | Best tools | 101 | [erpresearch.com](https://machinerelations.ai/index/domains/erpresearch.com) | 33.66% | ERP research and comparison sites, Forbes #3, G2 #7, Zapier #9 | | How buyers choose | 99 | erpresearch.com | 28.28% | ERP consultancies, TechTarget #3, Deloitte #4, NetSuite #6, SAP #9 | | Is it worth it | 107 | erpresearch.com | 24.30% | NetSuite #2, LinkedIn #5, SAP #6, vendor cost pages | | Problem-first research | 106 | [Reddit](https://machinerelations.ai/index/domains/reddit.com) | 13.21% | Zapier #2, LinkedIn #4, BetterCloud #5, SaaS-management vendors | | Top lists | 114 | procuredesk.com | 16.67% | Procurement vendors, GetApp #7, Gartner #10 | | Comparisons | 114 | erpfocus.com | 20.18% | LinkedIn #2, TechTarget #3, ServiceNow #5, Atlassian #6 | | News-driven citations | 596 | [LinkedIn](https://machinerelations.ai/index/domains/linkedin.com) | 11.07% | Zylo #2, Salesforce #3, SaaStr #4, Reddit #5, BetterCloud #6, Maxio #7, Monday.com #8, SaaS Mag #9 | On the news-driven segment, which is the one a press release is aimed at, the top 100 cited domains are 34 vendor-owned sources, 16 market and company databases, 15 editorial publications, 13 analyst and consulting sources, three community platforms, one academic source and 18 other observed sources. The editorial outlets inside those answers are the SaaS trade, [SaaStr](https://machinerelations.ai/index/domains/saastr.com) at #4 (48 of 596, 8.05%) and [SaaS Mag](https://machinerelations.ai/index/domains/saasmag.com) at #9, then Medium #12, Forbes #24, TechRadar #26 and ITPro #41. LinkedIn, where a founder posts the announcement in their own words, is the single most-cited source on the segment. The full seven-shape reading is on the [SaaS hub](/industries/saas). ## Why SaaS Press Releases Fail Most SaaS press release failures happen before a word is written. The problems are strategic. **The announcement is not news.** Raising a round, adding a feature or hitting an ARR milestone are business events. They become news when connected to something a journalist is already covering: a category shift, a regulatory development, a change in how buyers behave. The release needs to answer why this matters right now, to this publication's reader. **The wire is mistaken for distribution.** A wire service puts your release in front of thousands of journalists who did not ask for it, and most beat reporters filter wire traffic into a folder they rarely open. The wire's real function is the record: a dated, syndicated statement of fact that a reporter, an analyst or an engine can check later. The Index puts a number on how often that record becomes a cited source (six runs of 596 on enterprise software news for the three largest wires), so buy the wire for the record and the disclosure obligations, and expect the coverage to come from direct pitches to the reporters who cover your beat. **The release is written for one reader.** A SaaS release in 2026 has two readers: a journalist scanning for a story hook, and an assistant summarizing what is known about your company when a buyer asks. Both reward specificity, sourced claims and a clear point of view. Both punish vague language, unsourced statistics and copy that could describe any company in the category. **There is no owned page for the placement to point at.** Coverage describes you; it rarely answers a buyer's question. The enterprise software buyer-question answers are led by pages that state a shortlist, a comparison, a cost or a payback in plain terms. Forrester reports zero-click buying, where the buyer researches without contacting sales, as the number one B2B pattern ([Forrester](https://www.forrester.com/blogs/b2b_buyers_make_zero_click_buying_number_one/)), and G2 reports that [51% of B2B software buyers now start research with AI chatbots](https://www.prnewswire.com/news-releases/new-g2-research-half-of-b2b-software-buyers-now-start-their-research-with-ai-chatbots-302742807.html) more often than with a search engine. When that assistant answers, it cites the page that answers the question, and a release that announces a feature is not that page. ## What Gets SaaS Companies Covered Coverage decisions are made by editors with specific beats, audiences and standards. Understanding those constraints is worth more than any copywriting tactic. **TechCrunch** covers SaaS companies when the story has a venture angle (a notable round or investor), a market angle (a category-defining move or a reaction to a competitive shift) or a people angle (a founder whose story illustrates a trend). Its own startup PR guidance says [reporters want a story that makes your imagined future look inevitable](https://techcrunch.com/2020/01/02/startup-pr/), and that [they want to hear from founders, not heads of marketing](https://techcrunch.com/2021/05/14/5-ways-to-raise-your-startups-pr-game/). The full read on what that placement reaches is on the [TechCrunch coverage page](/industries/saas/techcrunch-coverage). **Forbes** covers SaaS through business impact: how the company changes how work gets done, how revenue is made, how an industry operates. A Forbes placement usually comes through a relationship with a contributor rather than the central news desk, and it is the one general-interest placement the Index records on an enterprise software buyer shape. **Business Insider** covers SaaS when there is a human story inside the business story: a contrarian thesis, a company succeeding in a way that contradicts conventional wisdom. It rewards narrative specificity over metric density. **The SaaS trade press** (SaaStr, SaaS Mag, TechRadar, ITPro) is where the engines find editorial sources for enterprise software news answers. These outlets take original data, operator lessons and category arguments, and a founder with a dataset has a better chance there than a funding announcement has anywhere. The pattern across all of them: coverage follows genuine insight and editorial relationships. Cold pitches to general inboxes rarely work. Jaxon Parrott's analysis of how AI citation behavior is [moving away from wire distribution and toward editorial sources](https://jaxonparrott.com/blog/ais-citation-market-is-moving-away-from-wires-and-toward-editorial) maps why the wire is the record and not the placement. ## A 90-Day Press Program for a SaaS Company A press release is a tactic inside a strategy. Here is what the first 90 days of a real press program looks like for a Series A to B SaaS company, in two tracks the Index says reach two different readers. **Days 1 to 30: owned source pages, then media mapping.** Track one is the pages the buyer-question answers are made of. Stand up one owned page per enterprise software shape you need to win: a head-to-head comparison page for comparisons (ServiceNow and Atlassian hold top-ten slots there on their own pages), a plain-language cost and payback page for is it worth it (NetSuite's #2 on that shape is this page), a problem-first page in the vocabulary buyers use, and a shortlist page that states its criteria. Check your robots.txt before publishing: Google's crawler documentation says the Google-Extended token governs Gemini grounding rather than Search inclusion ([Google: common crawlers](https://developers.google.com/crawling/docs/crawlers-fetchers/google-common-crawlers)), and OpenAI describes ChatGPT search answers as source-backed ([OpenAI](https://openai.com/index/introducing-chatgpt-search/)), so a page an engine cannot fetch is a page it cannot cite. Track two is the reporter map: the five to eight journalists who actually cover your category, what they have published in the last 90 days, what they are asking. Introduce yourself with something useful, a data point or a customer insight, not a pitch. **Days 31 to 60: announcement architecture.** Map the next six months. Most SaaS companies have one or two real news events per quarter: a funding round, a significant launch, a market study with original data. The press release serves those, written with a specific publication's framing in mind. The Forbes angle and the TechCrunch angle are different documents even when the news is the same. Put the wire release out on the day for the record, put the founder's own version on LinkedIn the same hour, and send the story to the trade press with the data attached. **Days 61 to 90: the first placements, and where they point.** The goal is not a single placement. It is multiple independent descriptions of who you are and why you matter, in sources reporters read, plus the owned pages that hold the buyer question when an assistant goes looking. [Muck Rack's May 2026 analysis of more than 25 million cited links](https://muckrack.com/blog/what-is-ai-reading-may-2026) found 84% came from sources brands neither own nor pay for, with journalism alone at 27%, across its whole cross-category sample; the Index shows where inside enterprise software that journalism sits (the news answer, led by the trade press) and where it does not (the six buyer shapes). Every placement should link to the owned page that answers the buyer's question, so the human reader and the engine both have somewhere to land. ## Press Releases and Machine Relations A press release is a media event, and it is a [Machine Relations](https://machinerelations.ai/glossary/machine-relations) event of a specific kind. Machine Relations is the discipline of earning AI citations and recommendations for a brand by making that brand legible, retrievable, and credible inside AI-driven discovery; it is the parent category for GEO, [AEO](https://machinerelations.ai/glossary/answer-engine-optimization), AI SEO and AI PR. The old mechanism, earned media in a trusted publication becomes a source the engines cite, is real on news-shaped questions and thin on buyer questions in enterprise software, and the Index measures both. A Machine Relations program for a SaaS company treats the wire as the record, the placement as the human and news-answer surface, and the owned source page as the buyer-answer surface, and it reads the release each week to see which is moving. The Index is published by Machine Relations and is not an AuthorityTech product. It measures observed root-domain citations in monitored prompts; it does not measure recommendation quality, traffic or revenue, and correlation between a placement and a later citation stays correlation until a release shows otherwise. ## Frequently Asked Questions ### Do press releases still work for SaaS companies in 2026? As a discipline and as a record, yes. As a citation source, the Index says almost never: the three largest wires reach enterprise software news answers in six runs of 596, and PR Newswire's #48 of 167 on best tools (4 of 101 runs) is the only enterprise software buyer-shape slot any wire holds in the September 18, 2026 release. Use the release to force clarity on what is newsworthy, to satisfy disclosure, and as the factual scaffolding for a direct pitch. ### Are press releases cited by AI engines? Across the whole Index, PR Newswire was cited in 181 of 15,782 monitored runs (1.15%), Business Wire in 97 and GlobeNewswire in 71, mostly on news-shaped questions and on top-list shapes in a few categories. The class the release labels wire and press-release distribution is 0.20% of every citation recorded, and that label excludes PR Newswire itself; counted where it belongs the class is ten domains and 0.37% of classified citation. Inside enterprise software the wires hold one buyer-shape slot and six news runs between them. ### How do I get a SaaS press release into TechCrunch or Business Insider? Not through a wire service. Those placements come from direct relationships with reporters who cover your beat, pitched with a story rather than an announcement; the release supplies the facts and the editorial decision happens in a conversation. Know what the placement reaches: TechCrunch is #190 of 1,375 on enterprise software news answers and Business Insider #717, and neither was observed on an enterprise software buyer shape. ### Which publications should a SaaS company target for AI visibility? For enterprise software news answers, the trade press the Index finds inside them: SaaStr (#4 of 1,375), SaaS Mag (#9), TechRadar (#26) and ITPro (#41), with LinkedIn the most-cited source on the segment. For buyer questions, TechTarget (#3 on how buyers choose and on comparisons) and Forbes (#3 on best tools) are the editorial slots; the rest of those answers are ERP research sites, vendor pages, Reddit and procurement vendors. Target TechCrunch, Business Insider and Reuters for the human reader and the investor, not for the citation. ### What makes a SaaS press release different from a standard press release? It has two readers: a journalist deciding whether there is a story, and an assistant summarizing what is known about your company. Both reward specific claims, sourced data and a clear thesis about what your company's existence means for the market. Generic announcement language that could describe any company in your category serves neither. ### How long should a SaaS press release be? 400 to 600 words for a standard announcement. If you are releasing original research, 800 to 1,000 words, because the data is the news and needs room for context. Longer rarely improves coverage; every paragraph should earn its place. ### Should SaaS companies use AI to write press releases? For drafting, yes. For publishing, only after editorial review. AI-drafted releases carry recognizable patterns: categorical claims without evidence, vague language where specifics belong, structure that satisfies a template rather than a reporter. The test is whether a reporter on your beat would read it and see a story. ## Sources and method Every Index figure on this page is read from the live release pages at machinerelations.ai on September 18 and 19, 2026, release `mri_score_v2.0+2026-09-18+8fa38e54dd0a`: the [enterprise software category page](https://machinerelations.ai/index/categories/enterprise-software) and its seven segment leaderboards (news-driven citations, best tools, how buyers choose, is it worth it, problem-first research, top lists, comparisons), and the domain profiles of [prnewswire.com](https://machinerelations.ai/index/domains/prnewswire.com), [businesswire.com](https://machinerelations.ai/index/domains/businesswire.com), [globenewswire.com](https://machinerelations.ai/index/domains/globenewswire.com), [prweb.com](https://machinerelations.ai/index/domains/prweb.com), [einpresswire.com](https://machinerelations.ai/index/domains/einpresswire.com), [newswire.com](https://machinerelations.ai/index/domains/newswire.com), [forbes.com](https://machinerelations.ai/index/domains/forbes.com), [techcrunch.com](https://machinerelations.ai/index/domains/techcrunch.com), [businessinsider.com](https://machinerelations.ai/index/domains/businessinsider.com), [wired.com](https://machinerelations.ai/index/domains/wired.com), [venturebeat.com](https://machinerelations.ai/index/domains/venturebeat.com), [fastcompany.com](https://machinerelations.ai/index/domains/fastcompany.com), [reuters.com](https://machinerelations.ai/index/domains/reuters.com) and [bloomberg.com](https://machinerelations.ai/index/domains/bloomberg.com). Segment standings are the release's own rank of total for each domain and segment; "not observed" is the absence of that domain from that segment's observed citations in the window, enumerated per domain at its profile. The wire-class total (nine domains, 226 runs, 0.20%) is from Machine Relations' [citation concentration study](https://machinerelations.ai/research/how-concentrated-are-ai-citations-source-distribution-2026) on the same release. TechCrunch's editorial criteria are quoted from its own published guidance, linked inline. ## Related Reading - [How to Get Featured in Business Insider in 2026](/blog/how-to-get-featured-in-business-insider-2026) - [Press Release Renaissance for AI Search: How an $80 Release Can Rank #1](/blog/press-release-ai-search-renaissance) - [AI-Readable Coverage: How to Make Your Content Citable by AI Engines in 2026](/blog/ai-readable-coverage-how-to-make-content-citable-ai-engines-2026) --- **AuthorityTech** works with SaaS companies at Series A to C on both tracks: the press program that earns the placement, and the owned source pages and trade citations that the enterprise software buyer-question answers are made of. For a deeper look at how publication strategy connects to AI search visibility, see [why publication strategy determines AI search visibility](https://christianlehman.com/blog/publication-strategy-ai-search-visibility). If you want to know where your SaaS company currently appears in AI answers and what is missing, [start with a visibility audit](https://app.authoritytech.io/visibility-audit). ## Links - [Industries Index](https://authoritytech.io/industries.md) - [Home](https://authoritytech.io/index.md)