When to use this prompt
When writing SEO-driven articles or blogs — especially when you need credible, expert-backed quotes to strengthen authority and search visibility.
During SERP analysis or content gap research — to identify which experts are being cited by competitors and summarize them quickly.
When building thought-leadership pieces or whitepapers — to add authoritative perspectives that validate or contrast your argument.
When preparing executive briefs or marketing reports — to quickly pull summarized insights from recognized analysts, CEOs, and researchers.
The prompt
Act as a research assistant. I am writing an article about [TOPIC]. Search and summarize quotes, insights, or statements from recognized experts, analysts, or researchers who have published on this subject. For each, provide: 1) the expert’s name and role, 2) the original wording (if available), 3) a concise paraphrase, and 4) a one-line explanation of how this quote supports the article’s argument. Focus on voices that are authoritative, relevant, and recent. Generate 8–10 options, then recommend the 3 most impactful for inclusion in the article introduction or key sections.
Variables to replace:
Real-life example of how to use this prompt
To start, let's assume I'm a content lead at Hubspot. The prompt in the context of Hubspot would look like:
As you can see, I added the main keyword "impact of AI on inbound marketing and customer acquisition" and specified the intent as well.
Example output from ChatGPT for this prompt
And here's the output:
1) Yamini Rangan — CEO, HubSpot
Original wording (source): “We did not chase clicks, we built trust.” / “AI will become our co-worker, not just a tool, but an intelligent teammate. It will learn, it will scale, and it will get work done on our behalf, and that means our roles will evolve.” TechRadar+1
Paraphrase: HubSpot’s CEO says the new marketing era prioritizes trust and human-AI collaboration — AI augments teams rather than replacing them.
How it supports the article: Use this to argue that effective inbound strategies must shift from traffic-chasing to trust-building, using AI as a scalable teammate rather than a shortcut to clicks.
2) Anushree Verma — Senior Director Analyst, Gartner
Original wording (source): “Most agentic AI projects right now are early stage experiments or proofs of concept that are mostly driven by hype and are often misapplied... Most agentic AI propositions lack significant value or return on investment...” (on agentic AI projects being scrapped). Reuters
Paraphrase: Gartner warns many autonomous/agent AI projects are experimental, overhyped, and currently deliver limited ROI.
How it supports the article: This quote provides a cautionary counterpoint — AI offers big potential, but marketing teams must test use cases rigorously and measure real business impact.
3) Paul Roetzer — Founder & CEO, Marketing AI Institute
Original wording (source): From the 2025 State of Marketing AI report letter: marketers are “racing ahead with AI” but many organizations lack training and leadership to scale it responsibly. (Exec. summary / letter by Paul Roetzer). marketingaiinstitute.com+1
Paraphrase: Marketers are adopting AI quickly, but companies are often failing to provide the skills, governance, and leadership needed to realize value.
How it supports the article: Use this to argue that adoption alone isn’t enough — inbound teams need education, governance, and a roadmap to turn AI experiments into predictable acquisition results.
4) Rand Fishkin — Co-founder & CEO, SparkToro (search/SEO expert)
Original wording (source): “Attribution is dying. Clicks are dying. Marketing is going back to the 20th century.” (From his July 2024 SparkToro post “Attribution is Dying. Clicks are Dying.”) sparktoro.com
Paraphrase: AI-driven discovery and “zero-click” answers are breaking traditional click-based attribution and forcing marketers to rethink measurement and channels.
How it supports the article: Use this to emphasize that AI changes how prospects discover and interact with brands — acquisition strategies and attribution models must be redesigned for AI-driven discovery.
5) Forrester (analyst summary / Predictions 2024) — Forrester Research
Original wording (source): Forrester: agencies will build “brand language models” — bespoke models that “create brand-specific, personalized marketing” combining audience signals with brand tone and IP. Forrester
Paraphrase: Forrester predicts marketers and agencies will create custom brand models to generate personalized, on-brand content and experiences.
How it supports the article: This supports a claim that the next wave of acquisition will favor companies that own brand-specific AI assets (data, style guides, brand models) for scalable personalization.
6) Michael Chui / McKinsey & Company (MGI) — partner / MGI research lead (McKinsey)
Original wording (source): McKinsey: generative AI “could increase the productivity of the marketing function with a value between 5 and 15 percent of total marketing spending” and marketing/sales are among the top areas to capture generative-AI value. McKinsey & Company+1
Paraphrase: McKinsey estimates generative AI can materially boost marketing productivity (single-digit to mid-teens % of spending) and is a top value area.
How it supports the article: Use this to quantify upside and justify investment — AI is not just tactical; it can materially improve acquisition efficiency and output.
7) Sam Altman — CEO, OpenAI (reported remark)
Original wording (source): “95% of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly and at almost no cost be handled by the AI...” (as reported/interpreted in interviews and articles referencing Altman). CMSWire.com+1
Paraphrase: Altman predicts AI will automate the vast majority of routine creative and production tasks that agencies currently perform.
How it supports the article: Use this provocative prediction to frame the scale of disruption and the urgency for inbound teams to refocus on strategy, brand, and human differentiation.
8) Scott Brinker — VP Platform Ecosystem (HubSpot) & editor of ChiefMartec
Original wording (source): “Will AI in martech make buyer experiences better or worse? It depends…” (analysis that martech + AI can help or hurt CX depending on how it’s used; from ChiefMartec). chiefmartec
Paraphrase: Brinker argues AI’s impact depends on implementation—tools can improve buyer experiences but can also degrade them if used poorly.
How it supports the article: Use this to argue for strategic tool selection and disciplined orchestration — AI isn’t automatically beneficial for acquisition unless it’s aligned to buyer experience goals.
9) Dario Amodei — CEO, Anthropic
Original wording (source): “The models my firm produces are currently about as smart as an undergrad, and they're ‘not yet’ beyond the level of human intelligence — but it’s coming.” (remarks at INBOUND 2025 coverage). Insentric
Paraphrase: Amodei says current AI models are powerful but limited — capable, yet still require human oversight; further capability gains are likely soon.
How it supports the article: Use this as a reality check: AI will grow quickly, but marketers must combine model power with human judgment and governance today.
My top 3 recommended quotes to include (most impactful for an intro or major section)
Yamini Rangan (HubSpot CEO) — “We did not chase clicks, we built trust.” TechRadar
Why: It’s short, memorable, directly relevant to inbound marketing, and signals HubSpot’s own strategy — excellent as an opener or pull-quote that reframes the article’s thesis.Rand Fishkin (SparkToro) — “Attribution is dying. Clicks are dying.” sparktoro.com
Why: It crisply captures the measurement and channel shifts marketers face in an AI era — perfect to frame a section on measurement and channel strategy.McKinsey / Michael Chui — “Generative AI could increase the productivity of the marketing function with a value between 5 and 15 percent of total marketing spending.” McKinsey & Company
Why: Provides a credible, quantitative payoff argument you can cite to justify why investment in AI for acquisition matters.
Or to be more specific:
Pro tips
Be ultra-specific with your [TOPIC] and [AUDIENCE] — e.g., “impact of AI on B2B inbound marketing for SaaS marketers” instead of just “AI in marketing.”
Ask ChatGPT to include credible sources (e.g., McKinsey, Gartner, Harvard Business Review) — this improves trust and backlink value.
Run the prompt twice: once for breadth (8–10 quotes) and again asking for contrarian or overlooked viewpoints to diversify your article.
Use the top 3 recommended quotes as anchor points — build your article outline or section headers around them to ensure flow and authority.
Related prompts
ChatGPT Prompts For Clarifying Search Intent
This prompt lets ChatGPT act like a senior content writer and create an SEO-focused search intent.
ChatGPT Prompts For Keyword-rich Slugs
This prompt lets ChatGPT act like a senior content writer and create an SEO-focused keyword-rich Slugs.
ChatGPT Prompts For Generating OG Titles And Descriptions
This prompt lets ChatGPT act like a senior content writer and create an SEO-focused OG titles and descriptions
