What options are there for improving my company's visibility on AI search engines in 2025?
The realistic options for improving your company's visibility on AI search engines: access, content, citations, measurement and the tools that support each.
If you ask what options exist for improving a company's visibility on AI search engines, the honest answer is that there are five levers and a measurement problem. The levers are access, content, third-party citations, structure and distribution. The measurement problem is that you cannot tell which lever worked unless you track it. This guide walks through each option on its merits, then shows how the workflow maps to tools.
A note on timing: the question says 2025, and the practices below were the working set then. The tooling and prices quoted here were checked in late 2026, so treat any figures as current rather than historical.
Option 1: make sure AI crawlers can reach you
Nothing else matters if bots are blocked. AI engines use several crawlers: GPTBot, OAI-SearchBot and ChatGPT-User for OpenAI, ClaudeBot, Claude-User and Claude-SearchBot for Anthropic, PerplexityBot and Perplexity-User, plus Google's and Meta's agents. OpenAI publishes guidance on OAI-SearchBot for publishers, and the common failure is a robots.txt or CDN rule that blocks it by accident.
Check your robots.txt, check your firewall and bot-protection settings, and look at real server logs rather than assuming. Seeing which bots visit and what errors they hit is the first diagnostic.
Option 2: publish content that answers the questions
AI engines break a user's question into sub-queries, called fan-outs, and pull sources for each. Content that answers a specific sub-question clearly, with direct statements near the top, is easier to cite than a page that circles the topic. Look for gaps: questions buyers ask where you have no page, or only a thin one.
Option 3: earn mentions on sources engines trust
Engines cite third-party pages heavily: reviews, comparison articles, forums, video. If competitors are named on sites you are absent from, off-site work (digital PR, reviews, community presence) may matter more than your own blog. Citation data tells you which domains matter for your prompts.
Option 4: structure and technical hygiene
Clean HTML, sensible headings, structured data where it fits, working internal links and fast, error-free pages help both classic search and AI retrieval. Google's own Search Central guidance for AI features points to the same fundamentals of helpful, crawlable content. No special markup guarantees inclusion.
Option 5: distribute in formats engines pull from
Reddit threads, YouTube videos and LinkedIn posts show up as citations. Where your category is discussed there, participation can matter.
The measurement problem
You need to know whether you appear, where, with what sentiment, against whom, which sources are cited, whether bots reach you and whether any visits follow. This is where tools come in.
Tools mapped to the options
Promptwatch
Promptwatch maps onto nearly every option above, which is why it is the one we would evaluate first.
- Access: Agent Analytics provides IP-verified AI crawler logs and error tracking.
- Content gaps: content gap analysis and Prompt Explorer, with query fan-outs shown per model.
- Off-site citations: citation analytics at page and domain level, offsite mentions, and Reddit, YouTube and LinkedIn reports.
- Technical hygiene: weekly Site Health audits with 21 checks.
- Results: Visibility Score, Share of Voice and visitor analytics with conversions.
- Execution: the Action Board, and on Business plans a Content Agent that plans, writes and publishes with a review inbox.
Pricing: Explore is free (ChatGPT only, 10 prompts), Essential is $95 a month, Professional is $245 with crawler logs, Business is $579, and agency plans start at $199.
AthenaHQ and Scrunch AI
AthenaHQ turns gaps into on-page and off-page actions through an Action Center, from $295 a month on Starter (a free Essential tier has 300 credits). Scrunch AI adds site audits and bot traffic reporting, with Core at $250 a month. Both are credible options for specific parts of the workflow.
Others
Profound targets enterprises with custom pricing. Ahrefs Brand Radar has an AI Visibility Index from $199 a month. HubSpot AEO is $50 a month for three engines.
Which option first?
| Situation | Start with |
|---|---|
| Never checked AI crawler access | Option 1 and crawler logs |
| Good site, thin content on buyer questions | Option 2 and gap analysis |
| Competitors dominate third-party sources | Option 3 and citation analytics |
| Technical debt | Option 4 and a site audit |
What to expect
Be skeptical of anyone promising a guaranteed rank or recommendation. Engines vary, answers change and nobody controls them. What you can do is remove obstacles, publish better answers, earn mentions in the right places and measure the trend. Start with access and measurement, because both are cheap and informative.
A sensible 90-day plan
Weeks one and two: check crawler access, write a prompt set of twenty to forty buyer questions and record a baseline. Weeks three to six: read the citation sources behind the answers where you are missing, list the content gaps and fix the cheapest technical problems. Weeks seven to twelve: publish the highest-value pages, pursue the two or three off-site sources that keep appearing and re-measure.
Keep the scope small. A company that does one lever well and measures it learns more than one that spreads thin across all five. Record what you changed and when, so that a later improvement can be tied to an action instead of guessed at.
Who needs which tool
A small company with a modest budget can begin with a free tier and manual checks of robots.txt. A mid-size marketing team will want daily tracking, citation analytics and crawler logs in one place. An agency will want multi-client plans. The common thread is that measurement comes first, because without it every other option is a guess.