Search advertising
Paid search built around relevance and qualified demand
- Paid search strategy and management
- Query, ad, and landing-page relevance
- Automated expansion, with controls
- Search-term intelligence
- Offline conversion and value signals
Search & answer-engine advertising
Advertising for the search and answer-engine era
Digital Traction plans and runs paid search and answer-engine advertising, and builds the measurement that connects it to qualified opportunities and revenue
Organic traffic is moving into AI answers
As more research resolves inside AI answers, paid placements carry more of the traffic, and your website becomes the source these systems read to decide what to show
Where attention is going
- Google Search
- Google AI Mode & AI Overviews
- ChatGPT & Conversational AI Search
- Reddit & community discovery
- YouTube & visual search
- Local & map surfaces
Can you be the most relevant answer to the question being asked?
Google Ads, ChatGPT, AI Overviews, and quality score are all solving the same problem: which result is genuinely the most relevant answer to the query. Relevance wins the auction, earns the citation, and gets you in front of the prospect.
Invest for presenceInvest for efficiency
LEARNING
Informational
Learning the category and understanding the problem.
Feeds: Brand presence
Do you actually answer it?
- Do you have a page that teaches this?
- Are you visible where people learn?
- Does the answer cite you, and does search rank you?
Now you can ask Google anything. So the best ads must be answers.
Paid coverage across the searches that lead to a purchase
Search advertising you can measure today, and answer-engine advertising built and tested responsibly as it opens up. Both run on the same inputs.
Answer engine advertising
Advertising placed inside AI answers
- Advertising in conversational and AI answer surfaces
- Landing-page and crawler readiness
- Offers and messaging built for conversational intent
- Measurement of traffic, influence, and conversions
- Controlled experiments as new inventory develops
Intent, relevance, placement, and signal pointed at the same thing
As search and ad platforms evolve with AI, your website, brand kit, and conversion signals decide performance. A great ad on a generic page, measured by a form fill, teaches the platform very little.
- Category Learning
- Comparing
- Cost & process
- Validating
- Ready
What we run, and what we direct
We run the media hands-on, and we drive the direction on everything that feeds it: your site, your data, your tracking. We keep your vendors pointed at the same goal.
Run directly
We own it, hands-on
- Paid search and search advertising
- Answer-engine advertising tests
- Account structure, messaging, bidding, optimization
- Search and market intelligence
- Performance reporting and testing direction
Direct & coordinate
We drive it, with your team and vendors
- Landing-page and website changes
- CRM and offline-conversion setup
- Analytics and attribution work
- Content and organic-search support
- Specialist execution when deeper technical work is needed
Platform background
Hands-on experience at Google and Reddit, with a working view of where search is going: Google Ads built for automation, Reddit as a research layer, and both shaping how brands surface in AI-driven discovery
Founder experience. See About for detail.
What a diagnostic surfaces
Where the ad, the page, and the tracked outcome stop agreeing: the gaps that quietly teach the platform the wrong thing
Illustrative of the diagnostic's scope, not a client result
How we report
Every number is tied to a metric definition, a date range, and how it was measured. No vanity figures presented as proof.
Reporting standard applied to all engagements
Working notes on where search is going
A running record of what's live, what's emerging, and what it means for operators, dated and sourced
What answer-engine advertising actually is today
Some of it is live, some is in limited pilots, and some is announced but not here, and the honest thing is to keep those apart
5 min read
AI answers are changing what a click is worth
When an AI answer resolves the question on the results page, the clicks that still come through are fewer but more decided, which changes how you should value and bid on them
4 min read
Feeding real outcomes back to the platform
Form fills teach automated bidding the wrong lesson; importing qualified leads and revenue from your CRM teaches it what a real opportunity looks like
6 min read
High-consideration and lead-generation businesses
Digital Traction works with businesses that already invest in search, have real value per qualified opportunity, and need a clearer connection between media, website relevance, lead quality, and revenue
- Search materially influences how you win customers
- A consultation, application, project, or demo is worth real money
- There's enough activity to actually diagnose and improve
- You want an embedded operator running the work hands-on
A paid operator who also builds the systems underneath
Founder & operator
Digital Traction
Seven years running paid search on the platform side, hands on in the accounts the entire time.
- Ran paid search for large B2B software companies at Google, managing a nine-figure portfolio
- Ran discovery and community advertising at Reddit, where last-click measurement does not tell the story
- Rebuilt a search operation spending mid five figures a month: fixed attribution loss on a large share of leads, restructured the account to compete on Ad Rank, and split paid and SEO into coordinated teams
- Builds the reporting and automation directly in Python, including a CAC pipeline pulling from Google Ads and the CRM
- Runs competitive audits on how brands surface across ChatGPT, Gemini, and AI Overviews
Start with a clear read of the operation
A structured review of how your search activity connects to real business outcomes: intent coverage, query-to-page relevance, conversion tracking, and where the gaps are. You leave with a scorecard and a prioritized 90-day roadmap.