Module 4 min
Industry Playbooks
The GEO loop is universal; the winning surfaces are not. B2B SaaS, e-commerce, local and publishers each fight on different ground.
Why it mattersCopying a SaaS playbook into e-commerce wastes quarters; leverage lives in different surfaces per industry.
Definition & Foundation
What it is, in plain words
The GEO loop is universal; the winning surfaces are not. Every industry runs the same system (discover prompts, produce citable passages, build authority, refresh), but where the citations come from differs sharply by vertical. B2B SaaS lives and dies on G2/Capterra profiles, "vs" pages, and Reddit developer threads. E-commerce wins on structured product data, availability feeds, and review volume, increasingly consumed by shopping agents. Local businesses still win through Google Business Profiles and review signals. Publishers must pivot from commodity explainers (absorbed by answers) to original reporting and data engines must attribute.
The expensive mistake this node prevents is copying a playbook across verticals. A SaaS team's Reddit-and-G2 strategy wastes quarters in e-commerce, where the leverage is product feeds and shopping agents; a publisher's original-reporting play is irrelevant to a local plumber whose battle is the map pack. The discipline is empirical: find your category's actual citation surfaces by observation (run 20 buyer prompts and count which third-party domains appear), then double down where your industry's engines already look, not where a case study from another vertical points.
Three Ideas Behind Per-Industry GEO
Same loop, different battleground
The universal loop
Prompt discovery, citable production, authority-building, and refresh apply everywhere; the mechanics of why sources get cited don't change by vertical. This is the part you don't re-invent; it's the surfaces you re-target.
The surface divergence
Which third-party platforms your engines cite varies enormously by industry: G2 for SaaS, product feeds for commerce, GBP for local, original reporting for publishers. Your off-site corpus map is industry-specific, and it's where most of the vertical-specific work lives.
Empirical targeting
Don't assume from case studies; measure. Run 20+ buyer prompts for your category, tally the domains that get cited, and let that evidence, not another vertical's success story, decide where you concentrate effort.
Myths vs Reality
Common misreadings, corrected
Putting It to Work
Map your vertical, then work its surfaces
The universal moves come first; then the per-industry targeting. The core playbook is the same, and the tabs below translate it into each vertical's specific citation surfaces.
The per-industry playbook
Run the universal loop regardless of vertical
Discover prompts, produce citable passages, build authority, and refresh; the strategy loop applies to every business. Don't re-invent the mechanics; you're only re-targeting where they point.
Map your category's citation surfaces empirically
Run 20+ real buyer prompts for your niche across engines and tally which third-party domains get cited. This evidence, not another industry's case study, is your surface map. See Off-Site Corpus.
Concentrate on your vertical's leverage surfaces
Double down where your industry's engines already look (see the tabs below for the common pattern per vertical), and ignore the surfaces that dominate other industries' playbooks but not yours.
Prepare for agentic consumption where it applies
Commerce and, increasingly, services face agents that consume structured data to act, not just answer. Where that's your reality, machine-readable product/service data and clean feeds become the priority surface.
On your platform
Verification Checks
How to know it's really done
Your industry targeting is right when it's evidence-based, not imported. Click a check to mark it verified:
Works Together With
The nodes this one leans on
Impact Weightage & Results TAT
What it moves, and how fast
Focus leverage: it earns no citations directly, but pointing the universal loop at the right per-industry surfaces is the difference between effort that compounds and effort spent where your engines never look.
Industry-specific surface targeting (reviews, GBP, product data, original reporting) strengthens classic local and vertical SEO in parallel.
Editorial estimate of this node's contribution to your total GEO / SEO outcome. Nodes overlap, so weights don't sum to 100.
Go deeper from Strategy & Workflows
Voices to follow
- Aleyda Solis · Orainti Practical frameworks, checklists and free learning roadmaps for search & AI search.
- Ross Simmonds · Foundation Distribution-first content strategy: creating once, distributing forever.
- Kevin Indig · Growth Memo Weekly data-driven studies on AI search, AI Overviews and traffic shifts.
Always current
These links resolve live: what you get is generated or filtered the moment you click.
Fresh from the field feed refreshed July 8, 2026
- Jul 7 AI Search: Is Your Content Strategy Accidentally Recommending Your Competitors? Search Engine Journal
- Jul 7 SEO Study: 5 Lessons From Running AI Agents Across Every Search via @sejournal, @lorenbaker Search Engine Journal
- Jul 7 Google Search Console Adds Reports For Social Posts via @sejournal, @MattGSouthern Search Engine Journal
- Jul 7 Used or cited: The two ways brands appear in AI search Search Engine Land