OG Solutions  |  White Paper  |  2025

The future of founder visibility

The Authority Shift

Why the end of cheap clicks is the best news founders have had in years, and what to do about it.

61%

Drop in organic CTR when AI Overviews appear

73%

of decision-makers trust thought leadership over marketing materials

91%

Higher paid CTR for brands cited in AI Overviews

Gina Dunn

Brand Strategist  |  Founder, OG Solutions  |  ogsolutions.nl

Executive Summary

The game changed.
The playbook didn’t.

Key Takeaways

  • Paid advertising costs have risen structurally for five consecutive years while click-through rates decline, making ad-dependent growth increasingly expensive and unpredictable.
  • AI-powered search engines now answer 60% of queries without a click to any website, shifting visibility from ad spend to authority signals.
  • Brands cited in AI Overviews earn 91% higher paid CTR than brands not cited, making authority the new access code for search visibility.
  • The Signal Stack is a five-layer system (Foundation, Owned Channels, Earned Media, Cascade Architecture, GEO Lock) that builds compounding visibility independent of ad budgets.
  • Generative Engine Optimization (GEO) is the practice of structuring content so AI search systems cite your expertise, and it requires 6 to 18 months of consistent authority-building.
The Authority Shift

The Authority Shift is the structural transition in how founders and brands get found, from paid visibility (ads, clicks, impressions) to earned authority (AI citations, thought leadership, media proof). As AI search engines answer more queries without sending users to websites, and as ad costs rise year over year, the brands that win are those recognized as credible authorities by both humans and algorithms. The Signal Stack, developed by Gina Dunn at OG Solutions, is the five-layer system for building this kind of compounding visibility.

Founders are waking up to a problem they can’t advertise their way out of. Google Ads costs have risen every year for five consecutive years. AI Overviews now answer 60% of queries without a single click to any website. And the platforms people once relied on to get found are quietly redirecting attention to answers, not links.

This isn’t a warning about the future. This is a description of right now. And the founders who understand what’s actually happening, which is a shift from attention to authority, from clicks to citation, are the ones positioning themselves to win for the next decade.

This white paper maps the landscape honestly. It names what’s broken, explains what replaced it, and outlines a five-layer system for building the kind of compounding visibility that doesn’t depend on your next ad budget. It is called The Signal Stack.

Campaigns die. Rituals endure. The only visibility that compounds is the kind built on authority, not algorithms.

Gina Dunn, OG Solutions

The Signal Stack is not a content calendar. It is not a LinkedIn posting schedule. It is a deliberate, layered system that builds brand authority in the places where modern trust is formed, including AI-powered search engines, podcast feeds, earned media, and the kind of LinkedIn presence that makes the right people stop scrolling and start paying attention.

If you are a founder who has noticed that your marketing is working less hard for more money, this paper is for you.

29%

Jump in B2B non-branded Google Ads CPC in 12 months

Dreamdata, 2025

60%

of Google searches now end without any click to a website

Bain & Company, 2025

75%

of decision-makers researched a new vendor after reading thought leadership

Edelman-LinkedIn, 2024

Section One

What the data is
actually telling you

Google Ads is not dead. But it is getting measurably harder, more expensive, and less predictable, and the forces driving that are structural, not temporary.

The cost curve is going one direction

Search advertising costs have risen for five consecutive years. B2B non-branded Google Ads saw cost-per-click jump 29% in a 12-month window between mid-2024 and mid-2025, with click-through rates falling 26% in the same period. Translation: you are paying more for fewer clicks on the ads that bring in new audiences, not your existing customers.

Cost-per-lead across all industries rose 25% from 2023 to 2024, the sharpest single-year jump in recent memory. And ROAS declined for 13 of 14 industries in 2025, according to Triple Whale data across 18,000 brands. These are not outliers or niche industries behaving badly. This is the system-wide cost of competing on a platform that has become more crowded, more expensive, and increasingly disrupted by something nobody in the Google Ads world has a clean answer for.

AI is eating the clicks

Google’s AI Overviews, the blocks of AI-generated answers that now appear at the top of 13% of all searches, have fundamentally changed the economics of search traffic. Research tracked from June 2024 through September 2025 found that organic click-through rates dropped 61% year-over-year for queries where AI Overviews appear. Paid CTR fell 68% on those same queries.

The Pew Research Center tracked 68,000 real search queries and found that when AI summaries appear, users click through to a website only 8% of the time. Without an AI Overview, that rate is 15%. Users are getting their answers directly from Google, and they are not clicking anywhere.

The zero-click reality

60% of Google searches now end without any click to any website. Zero-click searches grew from 56% to 69% between May 2024 and May 2025. HubSpot, with one of the strongest SEO teams in the world, saw their monthly organic visits halve in a single quarter. If it can happen to them, the playbook the rest of us inherited is overdue for a rewrite.

The one number that tells the whole story

Brands cited inside AI Overviews earn 35% higher organic CTR and 91% higher paid CTR than brands not cited, even on the same queries. This is the entire strategic argument in two numbers. The platforms are not disappearing. The rules for who gets surfaced have simply changed. Authority, not ad spend, is now the access code.

68%

Drop in paid CTR for queries where Google AI Overviews appear

Seer Interactive, 2025

13/14

Industries saw ROAS decline on Google Ads in 2025

Triple Whale, 2025

+91%

Paid CTR boost when brand is cited in an AI Overview vs. not cited

Seer Interactive, 2025

The argument being made here is not that you should stop running paid ads. It is that you should stop relying on them as your primary source of new visibility. When the ROI on paid channels declines structurally year over year, while the ROI on authority compounds, the math eventually speaks for itself.

Section Two

Why authority is
the new ad budget

The question founders are asking is some version of: “If Google Ads is getting harder and organic traffic is declining, how do people find me?” The answer is not a new platform or a smarter funnel. It is a fundamentally different kind of asset.

Authority is trust that does not expire when the campaign ends. It is the thing that makes someone say your name when their colleague asks who to call. It is what gets your content cited in an AI-generated search answer instead of ignored. It is why some founders consistently get inbound referrals, podcast invites, and speaking opportunities while others are still paying per click for the same result.

What the research says about trust

The 2024 Edelman-LinkedIn B2B Thought Leadership Impact Report, drawing on thousands of global decision-makers and C-suite executives, found that 73% trust thought leadership content more than traditional marketing materials and product sheets when assessing a company’s capabilities. Not slightly more. Significantly more.

More than 75% of those decision-makers said a piece of thought leadership had led them to research a product or service they had not previously been considering. And 9 in 10 said they are more receptive to outreach from companies that consistently produce high-quality thought leadership. They are warming themselves to you before you ever pitch anything.

60% of decision-makers say they are more willing to pay a premium to suppliers who consistently produce quality thought leadership.

Edelman-LinkedIn B2B Thought Leadership Impact Report, 2024

The premium effect

This is the stat that most people skip past too quickly. Thought leadership does not just increase the probability of being considered. It changes what buyers are willing to pay. The founder who is visibly building authority in their space is not competing on price the same way a founder with no visible presence is. They are in a different conversation entirely, one where the client already trusts you before they contact you, already thinks of you as the expert, and is therefore far less likely to negotiate your rate downward.

The AI citation factor

As AI search tools like ChatGPT Browse, Perplexity, Google AI Overviews, and Claude increasingly become the way people research decisions, a new form of visibility has emerged. AI citation. When an AI tool answers a question and references your name, your content, or your perspective as part of that answer, you earn the kind of trust that no ad can buy.

AI systems do not cite brands because they spent money. They cite brands because they have built enough structured, credible, distributed presence that the system recognizes them as an authority on the topic. This is not a technical SEO trick. It is the output of doing visible, substantive intellectual work over time, the thing that founders with genuine expertise have always been told they should do, finally made measurable.

The compound advantage

A podcast appearance cited in an AI answer generates more qualified traffic than ranking third for the same query in traditional search. That appearance can be repurposed into a LinkedIn article, three posts, a newsletter edition, a blog post with structured FAQ schema, and a media page update. One hour of earned media becomes eight assets. The Signal Stack is the system for making that happen deliberately, not accidentally.

Section Three

The Signal Stack:
Five layers, one system

The Signal Stack is a five-layer visibility system. Each layer builds on the previous one. None of them work in isolation. Together, they create compounding authority that earns the kind of trust that paid media can only rent.

This is not a to-do list. It is an architecture. The order matters. Founders who skip Layer 1 and jump straight to Layer 3 end up with a lot of content that sounds competent but does not actually position them as anyone’s first call. The foundation has to come first.

1

Foundation Signal: The Leadership Brand Pyramid

Before you publish anything, you need to know exactly who you are, what you stand for, and why that matters to the specific people you want to reach. This means clear values, sharp positioning, a point of view on your industry that is genuinely yours, and a narrative that holds. The Leadership Brand Pyramid is the strategic document that makes all future content coherent rather than scattered. Skip this and you will spend years building volume instead of signal.

2

Owned Channel Rhythm: LinkedIn and Newsletter

Consistent, POV-led content on LinkedIn and a regular newsletter builds the audience you own. Two to three LinkedIn posts per week, rooted in your actual perspective rather than industry summaries, and a newsletter on a reliable Tuesday cadence. The bar is not volume. It is distinction. Every post should make the right reader think “this person gets it.”

3

Earned Media: Podcast Appearances, Bylines, Roundups

Third-party validation is what converts someone who has seen your LinkedIn posts into someone who trusts you enough to pay you. One podcast guest appearance per month, one byline pitch per month, and five to eight roundup submissions per month is a sustainable pace that builds media proof over time. These appearances are not ends in themselves. They are raw material for everything in Layer 4.

4

Cascade Architecture: From Appearance to Ecosystem

Every earned media appearance contains six to eight pieces of content. Most founders extract one, post it on LinkedIn, and move on. The Content Cascade Model is the system for extracting every POV post, every newsletter mention, every blog post, every social clip, and every FAQ from a single appearance. This is how one hour of recording time generates weeks of content without making anything up.

5

GEO Lock: AI Search Citation

Generative Engine Optimization is the practice of structuring content so that AI search systems, specifically Google AI Overviews, ChatGPT Browse, Perplexity, and Claude, recognize and cite your expertise when answering relevant questions. This is the output of doing layers one through four consistently over time. GEO is not a trick. It is the residue of building real authority in a format that AI systems can parse and trust.

Section Four

The GEO Protocol:
Getting found by AI

Generative Engine Optimization is not a replacement for SEO. It is the layer on top of it that determines whether you get cited by the AI systems that are now answering your potential clients’ questions before they ever reach your website.

Four AI engines matter for founders right now: Google AI Overviews, ChatGPT Browse, Perplexity AI, and Claude. Each has different triggers for who gets cited. All of them favor structured, credible, expert-attributed content over generic blog posts. Here is how to write for each one.

Google AI Overviews

Wants structure and clear answers

Direct answers in the first 150 words. Key Takeaways boxes. Data tables. Structured FAQ blocks with JSON-LD schema markup. Google rewards content that does the synthesis work for it, so the more your article is formatted like a reference document rather than a blog post, the better.

ChatGPT Browse

Wants credible, distributed presence

ChatGPT cross-references multiple sources before citing anyone. A single article does not trigger a citation. A pattern of appearing across multiple credible domains over time does. First-party data, original research, and consistent POV content distributed widely is the path to citation here.

Perplexity AI

Wants entity authority and attribution

Perplexity cites individuals, not just organizations. Full name attribution (minimum twice per article), consistent entity signals across platforms, and original data points with source attribution are what earn citations here. Perplexity tends to move faster than the other engines, often producing citations within months five to seven of consistent content production.

Claude

Wants depth and editorial credibility

Claude favors content that demonstrates genuine expertise over time, tends to prefer long-form articles and well-structured bylines, and responds to content that reads like it was written by someone who actually knows the subject rather than content optimized for a keyword. Training cycles mean this takes the longest to move, typically twelve to eighteen months or more.

The eight-section article format

Every flagship blog article should be structured to trigger citation across all four engines. That means including: a direct answer block in the first 150 words, a Key Takeaways box, a POV body of 800 to 1,200 words, a data or comparison table, at least one first-party data point, a pull quote attributed to you by full name, a structured FAQ block with five questions and JSON-LD schema, and full entity attribution using your name and company at least twice.

This sounds like a lot. It is less work than it sounds, particularly when you are building from a podcast appearance or keynote where the thinking already exists. The cascade model in Layer 4 of the Signal Stack makes this a natural output rather than a separate project.

Section Five

The honest timeline:
When things start to move

Most founders who give up on authority-building do so at month three. This is when the work is real but the results are not yet visible. Understanding what actually moves and when is the difference between building a compounding asset and quitting before the compound interest kicks in.

Weeks 4 to 8
LinkedIn algorithm begins recognizing your posting pattern and expanding distribution to non-followers. Follower growth begins. Some posts start pulling in audience from outside your existing network.
Months 3 to 6
Google SEO traction begins for long-tail queries. Blog articles start to appear in search results for specific niche terms. Newsletter open rates stabilize and a loyal core audience forms.
Months 4 to 7
Inbound authority signals begin to appear: unsolicited podcast invites, roundup quote requests, speaking inquiries. These are the leading indicators that the system is working before revenue visibly shifts.
Months 5 to 7
Perplexity citations begin. This is typically the first AI engine to start surfacing founder names for relevant queries, making it the earliest measurable indicator of GEO lock-in.
Months 6 to 9
Google AI Overviews begin citing your content for queries in your core topic area. This phase typically requires at least three to five articles built to the full GEO article protocol, plus consistent social presence and at least a handful of external citations from other credible domains.
Months 6 to 12
ChatGPT Browse citations begin appearing for founders who have achieved consistent distribution across multiple credible platforms. The threshold is typically six or more appearances across different domains. This is where the cascade architecture pays off: it creates the multi-platform footprint that ChatGPT requires.
Months 9 to 18
The full compound effect becomes visible. Inbound-to-outbound ratio on earned media shifts, meaning you are getting invited more than you are pitching. Referral patterns change. The right people are finding you and arriving pre-sold.
Year 1 onward
Claude and Gemini training cycles begin to pick up consistent signals. Your reputation has moved from built to self-reinforcing. Each new piece of content builds on an established foundation rather than starting from scratch.

The key year 1 metric

The single most revealing measurement in the first year is your inbound-to-outbound ratio on earned media. In month one, you are pitching everything. By month twelve, what percentage of your podcast appearances, media mentions, and speaking slots came to you without you initiating them? That ratio is your authority score. Watch it move.

Section Six

What to measure
and when

Authority is measurable. Not always in the metrics platforms make easy to track, but measurable. The mistake most founders make is measuring the wrong things at the wrong time, then concluding the strategy is not working.

Timeframe What to track What it tells you
Monthly LinkedIn impressions, non-follower reach percentage, newsletter open rate, website sessions, roundup placements secured, podcast appearances, Perplexity name check Leading indicators of reach and distribution. These move first. Watch the non-follower reach percentage especially as it signals algorithm recognition.
Quarterly Search Console new keyword rankings, reputation audit (Google your full name), backlink growth, GEO sweep across all four engines, inbound-to-outbound ratio on earned media, brand language in others’ content Authority signals. These are the metrics that tell you whether the system is building compounding trust or just generating activity.
Every 6 months Are inbound requests arriving without pitching? Are AI search engines citing your content? Is your brand language appearing in others’ writing and talks? Are you refreshing your top three articles? Compound effect indicators. At this stage you are measuring whether authority has become self-reinforcing or still requires active feeding.

The metric that matters most in year one

Impressions are vanity. Inbound is truth. Track how much of your earned media is coming to you versus going out from you. This ratio tells you more about the state of your authority than any follower count, view count, or open rate ever will. When the ratio starts shifting toward inbound, the system is working. When it stays heavily outbound after twelve months, something in the foundation needs attention.

Not every number matters at every stage. Resist the urge to optimize for metrics that are not yet relevant. In months one through three, distribution matters more than depth. In months six through twelve, citation quality matters more than volume. The Signal Stack is designed to evolve with you.

Frequently asked questions

The Authority Shift is the structural transition from attention-based marketing (paid ads, SEO clicks) to authority-based visibility (AI citations, thought leadership, earned media). As AI search tools answer more queries directly and ad costs rise year over year, the founders and brands that get found are those recognized as credible authorities, not those with the biggest ad budgets. Gina Dunn, founder of OG Solutions, coined the term to describe this market-wide change.

The Signal Stack is a five-layer visibility system developed by OG Solutions. The layers are: (1) Foundation Signal, which establishes your leadership brand positioning; (2) Owned Channel Rhythm on LinkedIn and newsletter; (3) Earned Media through podcast appearances, bylines, and roundups; (4) Cascade Architecture, which extracts six to eight content pieces from every media appearance; and (5) GEO Lock, which structures content for AI search citation. Each layer builds on the previous one, and together they create compounding authority.

Generative Engine Optimization (GEO) is the practice of structuring content so that AI-powered search engines, including Google AI Overviews, ChatGPT, Perplexity, and Claude, recognize and cite your expertise when answering relevant queries. GEO is not a replacement for SEO. It is the layer on top of it that determines whether AI systems reference your content, your name, and your point of view when users ask questions in your area of expertise.

The timeline varies by engine. Perplexity typically begins citing founders within five to seven months of consistent content production. Google AI Overviews follow at six to nine months. ChatGPT Browse requires six to twelve months of distributed presence across multiple credible platforms. Claude and Gemini, which rely on training cycles, take twelve to eighteen months or longer. The compound effect becomes fully visible around the nine to eighteen month mark.

Google Ads costs have risen every year for five consecutive years. B2B non-branded cost-per-click jumped 29% in twelve months (Dreamdata, 2025), while click-through rates fell 26% in the same period. Cost-per-lead rose 25% from 2023 to 2024, and ROAS declined for 13 of 14 industries in 2025. Meanwhile, AI Overviews now appear on 13% of all searches, reducing organic CTR by 61% and paid CTR by 68% on those queries.

According to the 2024 Edelman-LinkedIn B2B Thought Leadership Impact Report, 60% of decision-makers say they are more willing to pay a premium to work with companies that consistently produce quality thought leadership. Additionally, 73% of decision-makers trust thought leadership over traditional marketing materials, and 75% researched a vendor they had not previously considered after reading thought leadership content. Authority does not just increase the probability of being found. It changes the pricing conversation.

A Content Cascade is the systematic process of extracting six to eight pieces of content from a single media appearance, such as a podcast interview or a keynote. One appearance can yield POV-driven LinkedIn posts, a newsletter edition, a blog article with GEO structure, social clips, pull quotes, and FAQ content. The Cascade Architecture, Layer 4 of the Signal Stack, turns one hour of recording time into weeks of content without manufacturing anything new.

In the first year, founders should track monthly leading indicators (LinkedIn impressions, non-follower reach, newsletter open rate, podcast appearances), quarterly authority signals (search rankings, backlink growth, GEO sweeps across AI engines, inbound-to-outbound ratio on earned media), and six-month compound indicators (whether inbound requests arrive without pitching, whether AI engines cite your content). The single most important metric is the inbound-to-outbound ratio on earned media.

What comes next

Authority is a choice
you keep making.

Most founders already have the expertise. They have the perspective, the track record, the ideas that deserve a larger audience. What they do not yet have is a system that turns that expertise into visible, compounding presence, the kind that gets cited, remembered, and recommended.

The Signal Stack is that system. Built in phases, measured honestly, and designed to compound over time rather than spike and disappear. The founders who start building it now will be the ones being cited when their competitors are still optimizing ad copy.

If you want to talk through what this looks like for your specific situation, start with a Clarity Call. One hour. Zero fluff. A real conversation about where your signal is and where it should be.

About the Author

Gina Dunn

Brand Strategist & Founder, OG Solutions  |  Amsterdam

Gina Dunn is a brand strategist with 25 years of experience helping founders and leaders get clear, get visible, and build brands that reflect who they actually are. Her work sits at the intersection of brand strategy, personal visibility, and AI-era content systems.

She works with founders who have outgrown their current brand presence and need a strategy that compounds, not just converts. Her Signal Stack framework has been developed through years of working with founders navigating the shift from paid-media dependency to authority-led growth.

Gina is the creator of Mirror, Not Mask, a free brand truth diagnostic for founders at mirrornotmask.com, and hosts the Morning Cup of Brand Spark podcast.