Key takeaways
- AI assistants summarise what credible sources say about your category and your brand, so third-party coverage is one of the strongest inputs you can influence.
- Established publications such as Reuters, AP News, The Times of India and The Hindu are the kind of sources retrieval systems tend to trust.
- Write releases with a stable entity description, plain category language, verifiable facts and quotable expert statements.
- Audit AI answers before you start, re-run the same prompts monthly and track AI referrals to your website in Google Analytics 4.
Ask ChatGPT, Perplexity or Gemini for "the best payroll software for small manufacturers in India" or "reliable real estate developers in Pune", and you get a short list of names. Generative engine optimisation (GEO) is the practice of influencing whether your brand appears in those answers, and how it is described when it does.
For PR teams, GEO is not a new discipline so much as a new reason to do the fundamentals well. AI assistants build their answers from what credible sources say. Public relations is the craft of shaping what credible sources say. This guide explains how the two connect and how to build a practical plan.
How AI assistants decide what to say
Different tools work differently, but most combine two kinds of knowledge:
- What the model learned in training, from large amounts of public web content collected up to a cut-off date
- What it retrieves live from search results and trusted sites at the moment it answers
Google AI Overviews and Perplexity lean heavily on live retrieval and show their sources. ChatGPT and Gemini mix trained knowledge with web search, depending on the question and settings. In every case, brands that are consistently and credibly described across many independent sources are far more likely to be mentioned, and to be described accurately.
What "credible" tends to mean
No AI company publishes a definitive list of trusted sources, but the pattern is visible in the citations these tools show. They favour established news organisations, reference sites, official sources and well-known industry publications – the same kinds of sites that rank well in search and are widely linked.
Three qualities seem to matter most:
- Reputation: long-established publishers with editorial standards and a history of accurate reporting.
- Corroboration: the same fact appearing in several independent places, which makes it safer for an assistant to repeat.
- Clarity: pages that state facts plainly – who, what, where, when – are easier for retrieval systems to extract and quote than marketing copy.
Press releases and the coverage they generate can supply all three, provided the news is real and the facts are consistent.
Publications AI systems commonly draw on
The table below lists examples of major publishers that regularly appear as sources in AI answers about business, technology and markets, with their Moz Domain Authority and estimated reach.
| Publication | Audience | Domain Authority (Moz) | Approx. monthly visits |
|---|---|---|---|
| Reuters | Global news and business | 94 | – |
| AP News | US and international news | 92 | 93.7M |
| Forbes | Global business | 89 | – |
| The Times of India | Indian national news | 94 | 253.9M |
| The Hindu | Indian national news | 91 | 64.5M |
| Mint (Livemint) | Indian business and finance | 91 | 72.1M |
| Business Standard | Indian business and markets | 90 | 39.7M |
| Indian Express | Indian national news | 85 | 9.6M |
Metrics are third-party estimates at the time of writing and change over time.
A realistic note: a press release distributed through a newswire is offered to agencies and partner sites, and editors at outlets like these decide independently whether to pick it up. No one can guarantee that a release will appear on a specific top-tier publication. If being on one particular site matters, a booked sponsored or featured article is a different route – see media placement – and a well-written release still creates a dated, citable record on the sites where it does appear.
Why press releases help GEO
- They create clear, factual descriptions of your company that models can learn and retrieval systems can quote: "X is a Mumbai-based fintech company that…"
- They spread across multiple sites through distribution and pickup, reinforcing the same facts in many places.
- They are dated and structured, which helps retrieval systems judge freshness and relevance.
- They trigger earned coverage – the independent articles AI systems weigh most heavily.
- They fill gaps. If nothing credible says what your company does, an assistant may guess, confuse you with a similarly named business or leave you out.
How GEO connects to SEO and branding
SEO: the foundation retrieval depends on
Many AI answers start with a web search, so the pages that rank well and the domains search engines trust are the ones assistants read. Mentions of your brand on high-authority news domains, referral traffic and properly indexed pages all feed into this. Links in syndicated or sponsored releases are usually nofollow or "sponsored", so their value lies in the mention, the discovery and the authority signals rather than in ranking credit. Our guide on whether press releases help SEO explains this in detail.
GEO: consistency is the signal
Assistants such as ChatGPT, Perplexity, Gemini and Google AI Overviews lean on trusted publications and on consistent facts about an entity. If your website says "founded in 2018", LinkedIn says 2019 and a news article says "five years old", the system has to choose. If every source agrees on your name, location, category, leadership and flagship product, accurate answers become much more likely.
Branding: being described the way you want
GEO is not only about being mentioned – it is about how you are described. Buyers, investors and partners increasingly ask an assistant before they visit a website. A brand that appears with a clear, positive and accurate description, ideally alongside recognisable publications, starts the relationship with trust already established.
Writing releases AI can use
| Tactic | Example |
|---|---|
| Consistent entity descriptor | "[Company], a Bengaluru-based accounting software company for small businesses…" |
| Category language people actually use | "Invoicing software for retailers", not "next-gen commerce enablement platform" |
| Specific, verifiable facts | Customer counts, cities, launch dates, certifications |
| Quotable expert statements | A clear opinion from a named leader on an industry trend |
| Original data | Survey findings or benchmarks others will cite |
| A stable boilerplate | The same "About" paragraph in every release – see how to write a press release boilerplate |
Questions to answer in every release
Think about the questions a buyer might type into an assistant, and make sure your news answers them in plain sentences:
- What does the company do, and for whom?
- Where is it based, and which markets does it serve?
- Who leads it?
- What is new, and when did it happen?
- What evidence supports the claim – customers, partners, certifications, figures?
How GEO differs by sector
The principles are the same everywhere, but the questions buyers ask – and the sources assistants cite – vary by industry:
- Technology and SaaS: buyers ask for comparisons and "best tools for…" lists. Clear category language, named integrations and customer numbers matter most.
- Financial services: assistants are cautious and favour regulators, established business titles and official disclosures. Accuracy and compliance in every release are essential.
- Real estate: questions focus on track record, delivery and location. Dated news about approvals, completions and handovers is the evidence that counts.
- Healthcare: assistants lean on medical, regulatory and institutional sources. Releases should stay factual, avoid claims that cannot be supported and name qualified spokespeople.
- Education: parents and students ask about accreditation, outcomes and rankings. Verifiable facts about recognition and results are what get cited.
Common GEO mistakes
| Mistake | Why it hurts | Better approach |
|---|---|---|
| Changing how you describe the company in every release | Assistants see conflicting facts and may describe you vaguely | One agreed descriptor, reused everywhere |
| Buzzwords instead of category terms | Your news does not match the questions people ask | Use the plain words customers search for |
| Publishing only on your own website | No independent confirmation of your claims | Combine owned content with distribution and earned coverage |
| Long gaps between announcements | Retrieval systems favour fresh sources | A steady monthly or bi-monthly rhythm |
| Unverifiable superlatives | Editors cut them and assistants rarely repeat them | Specific facts, figures and named partners |
A 90-day GEO plan built on PR
- Weeks 1–2 – audit: ask two or three AI assistants the ten questions your buyers ask. Note who is mentioned, which sources are cited and how you are described, if at all.
- Weeks 2–4 – fix your facts: make sure your website, LinkedIn, directory listings and boilerplate describe you consistently. Correct outdated information.
- Months 1–3 – publish a news rhythm: one or two releases a month on real news, each using the same descriptor. Our 90-day digital PR plan shows how to structure this.
- Months 1–3 – earn independent coverage: add expert commentary, data stories and selected placements on priority topics through digital PR.
- Monthly – measure: re-run the same prompts, record changes and track AI referral traffic.
An example in practice
Imagine a Bengaluru SaaS start-up selling inventory software to retailers. In its first audit, assistants list three larger competitors and do not mention it. Over the next quarter it publishes a funding release, a customer milestone and a small retail survey, all with the same descriptor, and contributes expert comment to two trade articles. The aim is not a guaranteed appearance in every answer – no one can promise that – but to give AI systems enough consistent, credible material that including the company becomes the accurate thing to do.
Measuring AI visibility
- Prompt tracking: a fixed list of buyer questions, checked monthly across assistants, noting mentions, descriptions and cited sources
- AI referrals: in Google Analytics 4, look for sessions from chatgpt.com, perplexity.ai and gemini.google.com
- Coverage tracking: which publications mention you and how they describe you, using media monitoring
- Branded search: impressions and clicks for your brand in Google Search Console
Tip: when an assistant describes your company incorrectly, look at the sources it cites. Fixing or updating those sources – or publishing a clearer, more recent one – is usually the most effective correction.
Where to start
GEO rewards brands that already do good PR: a steady flow of real news, consistent facts and coverage on publications people trust. NewsWire Network works with brands on the distribution side, and our SEO and AI visibility service covers the on-site and entity work that complements it. For sector-specific angles, see how this applies to technology and SaaS companies, and read about building brand authority through earned media.
Make your facts easy to find
Compare distribution options or browse individual publications before your next story goes out.
Frequently asked questions
What is GEO?
Generative engine optimisation is the practice of improving how often, and how accurately, your brand appears in answers from AI assistants such as ChatGPT, Perplexity, Gemini and Google AI Overviews.
Can I guarantee my brand will appear in ChatGPT answers?
No one can guarantee that. You can greatly improve your chances with consistent, credible coverage across trusted sources and accurate information on your own website.
Is GEO different from SEO?
They overlap. Many AI answers begin with a web search, so SEO remains the foundation. GEO adds a focus on consistent entity facts and on being cited by trusted publications.
Which publications matter most for AI visibility?
Established news organisations and respected industry titles are the sources AI tools most often cite. In India that includes national and business titles; globally, agencies and major business publications.
How long does it take to see results?
Answers that rely on live search can change within weeks of new coverage. Changes in what models learned during training take longer, because they depend on future model updates.



