Playbook · AI products
SEO & AI search playbook for AI agent products
An agent product asks for more trust than a normal tool: it acts on someone's behalf, in their inbox, repo or CRM. Buyers search for what it can do, but they also search for what it can touch and what happens when it's wrong.
Agent companies also have a second audience on their own site: other agents. Assistants that browse on a user's behalf fetch pricing and docs pages directly, so a page that only makes sense as a video or an interactive demo is invisible to them.
Updated By the LaunchRanked team6 sources checked
Searches to plan around
Query patterns and the intent behind them. We don’t quote search volumes: check your own Search Console for the ones you already appear for.
“AI agent for [job]”, “agent that [does task] in [tool]”
Find an agent for a jobNarrow jobs beat broad claims. “Triage support tickets in Zendesk” is a page; “AI employee” isn't.
“is it safe to give an AI agent access to [system]”
Risk checkA question buyers ask before trialling. Answer it with your actual permission model.
“[framework] vs [framework]”, “how to build an agent that …”
Build vs buyTechnical buyers compare building on a framework with buying a product. An honest page on when to build helps you with the ones who shouldn't.
“[agent product] pricing per task”
CostUsage-based pricing is hard to estimate. Worked examples of real task costs get read.
Page families that work
Job pages with a real run
/agents/ticket-triage
Show a trace of an actual run: inputs, steps taken, tools called, output, and where a human approved. That trace is unique to your product.
Tool and permission pages
/integrations/gmail
What the agent can read, what it can write, which scopes it asks for, and how to revoke access.
Safety and failure pages
/trust/how-agents-fail
What happens when the agent is unsure, how approvals work, what gets logged. Few competitors publish this, and buyers look for it.
Recipes
/recipes/weekly-pipeline-report
Specific workflows people can copy, each with its own steps and tools.
Risky page types
Autonomy and accuracy claims without evidence
“Replaces your SDR team” with no data behind it hurts trust and gives assistants nothing verifiable to repeat.
An “agent for [every role]” matrix
Near-identical role pages fit Google's doorway and scaled content descriptions. Build pages for jobs you've actually run.
Technical pitfalls
Key pages that only work as video or interactive demos
Crawlers and browsing assistants read HTML. Put a written summary of each demo and the run trace in the page.
Not knowing which bots respect robots.txt
Search crawlers like OAI-SearchBot and PerplexityBot follow robots.txt. User-initiated fetchers are different: OpenAI says robots.txt rules may not apply to ChatGPT-User, and Perplexity says Perplexity-User generally ignores them. Anthropic documents its own bots separately. Decide your rules knowing that.
Pricing that can't be read by a machine
If pricing sits in an image or behind a calculator widget, assistants guess. Write the plan limits and per-task prices as text.
How AI assistants answer questions in this category
Agent buyers often ask assistants to compare agent products or frameworks, and the assistant answers from docs, GitHub repos, comparison articles and community threads it retrieves. Because the category is new and changes monthly, assistants lean on search more here than for settled topics, which gives a clearly documented product a real chance to be cited.
What tends to earn a citation
- A plain table of what the agent can access, with scopes and approval steps.
- Dated capability statements (“as of September 2026, the agent can…”), since assistants look for current facts in fast-moving categories.
- Docs and pricing pages that render as text and load without a login.
Check whether the AI crawlers you want can reach your site with our AI crawler checker.
Where links come from
Integration marketplaces
The tools your agent works in (help desks, CRMs, chat apps) run app directories. A listing puts you where buyers already are.
Open examples
Publish example agents or recipes in a public repo. Developers link to working examples.
AI tool directories
Many AI tool directories now have agent categories. Use the same narrow job description you use on your site.
Directory lists that fit AI agent products
- AI tool directories
- Developer tool directories
- Product launch platforms
- Where to submit: AI agents
- Where to submit: AI coding tools
- All directories
Each directory is checked on its own site: price, link type and review process. We never sell links.
A 90-day plan
Days 1–30
Trust pages first
- Publish a permissions and data-access page for every integration.
- Write a page on approvals, logging and failure handling.
- Make pricing and docs readable without JavaScript or a login.
Days 31–60
Job pages with traces
- Pick the five jobs customers run most and publish one page each with a real run trace.
- Add recipes for common workflows.
- List in the marketplaces of the tools you integrate with.
Days 61–90
Comparison and freshness
- Write a fair build-vs-buy page.
- Add “as of” dates to capability statements and review them monthly.
- Rewrite titles on pages at positions 5–20.
What to watch in Search Console
The Performance report gives clicks, impressions, CTR and average position by query, page, country, device and date. Traffic from Google's AI features is counted there too, under the Web search type (Google).
- Queries mentioning “safe”, “access”, “permissions”
- Tells you how much trust research happens before purchase, and which integrations people worry about.
- Impressions on job pages
- Your non-brand discovery. Grow the jobs that get impressions.
- Server logs for AI user agents
- Search Console won't show assistant fetches. Your logs will, by user agent, so you can see which pages agents read.
Frequently asked questions
Should we block AI agents from our site?
Usually not. Buyers use assistants to research you. Allow the search crawlers you want to appear in, and decide separately about training crawlers.
How do we show what an agent does without a video?
Publish a written run trace: the task, each step, each tool call and the result. It's more convincing than a video and it's readable by crawlers.
Should we publish failure cases?
Yes, with how the product handles them. It builds trust with careful buyers and few competitors do it.
Do agent products need different SEO from other AI tools?
The basics are the same. The difference is the trust content: permissions, approvals and logging carry more weight when the product acts on someone's behalf.
Sources
Checked on September 23, 2026. Search patterns and page advice are our own judgement from running this playbook; we don’t quote search volumes or third-party statistics.