Can you explain how to boost my company's visibility in AI-driven search engines like ChatGPT and Perplexity?
How to boost your company's visibility in AI-driven search engines like ChatGPT and Perplexity: crawler access, citations, content and measurement, step by step.
Getting your company named in answers from ChatGPT and Perplexity is a mix of access, authority and content, and it is measurable. No one can guarantee a recommendation, and anyone who promises one is guessing. What you can do is remove the obstacles, give the engines good material to use and watch whether it works. Here is the sequence we would follow.
Step 1: make sure the bots can reach you
The cheapest failure is also the most common: a site that AI crawlers cannot read. Start with robots.txt and your server or CDN logs. The relevant bot names are real and specific: GPTBot, OAI-SearchBot and ChatGPT-User for OpenAI, ClaudeBot, Claude-User and Claude-SearchBot for Anthropic, PerplexityBot and Perplexity-User for Perplexity, plus Google-Agent and GoogleOther. OpenAI and Perplexity publish documentation on their bots, so read what each one does before you block or allow anything, because some are used for search results and others for different purposes.
Then check the page itself. Key content that only appears after JavaScript runs, content behind logins or pages that return errors to bots can all disappear from AI answers. Log analysis that verifies source IPs avoids being fooled by spoofed user agents.
Step 2: know what to be visible for
Make a list of the questions your buyers ask: category prompts, comparisons, "best X for Y" and problem questions. These are your target prompts. AI systems usually split each into several narrower searches, called query fan-outs, so look at what the engine actually searched. It tells you which sub-questions, sources and qualifiers matter.
Step 3: build the content engines like to cite
Use plain language, state facts directly and answer the question near the top of the page. Make comparison and pricing pages clear, accurate and current. Cover the questions in your prompt list, one page per question where possible. Structured data and clean headings help machines parse a page. We are not aware of sourced evidence that markup alone raises citations, so treat it as good hygiene and not a trick.
Step 4: earn mentions where engines already look
Engines lean on third-party sources: review sites, publications, community threads and directories. Citation data shows which domains appear for your prompts. Being accurately represented there often matters as much as your own site. If a competitor is cited from a source you are absent from, that is your outreach list.
Step 5: measure, then repeat
Track visibility, position, sentiment and share of voice for your prompt set across engines. Track which pages get cited. Track the visits and conversions that arrive from AI platforms. Repeat monthly, because answers move.
Where tools fit
You can run these steps manually, but five of them need data you cannot get by hand. Promptwatch is the one platform in our catalog that covers all of them. It tracks prompts daily per model, country and language, with Visibility Score, Share of Voice, Sentiment and Position in Answer. Citation analytics cover pages and domains, with Reddit, YouTube and LinkedIn reports. Agent Analytics records IP-verified crawler logs with a crawl-to-citation path, so Step 1 stops being guesswork. Visitor analytics ties AI-referred traffic to conversions. Site audits run weekly with 21 checks, an Action Board prioritizes fixes, and a Content Agent on Business plans writes and publishes against gaps with a review inbox.
Plans: a free Explore plan (10 prompts, ChatGPT only), Essential at $95 a month, Professional at $245 and Business at $579. Crawler logs start on Professional.
| Tool | Tracks engines | Crawler logs | Content help | Starting price |
|---|---|---|---|---|
| Promptwatch | All active models | Yes, IP-verified (Professional and up) | Content Agent (Business) | Free tier; paid from $95/mo |
| AthenaHQ | 11 models on Starter | No published product | Content optimization agent | From $295/mo |
| Scrunch AI | 4 LLMs on Core | Bot traffic reporting | Crawler-side page serving | From $250/mo |
| Profound | Up to 9 on Enterprise | Agent Analytics listed | Marketing agents | Custom, about $40k/yr estimated |
| Okara | Not a tracker | No | Fixes as GitHub pull requests | Free; paid from $129/mo |
AthenaHQ has a strong action workflow from former Google Search and DeepMind engineers and unlimited topics and prompts on Starter, though the catalog notes credit-based usage and no crawler analytics. Scrunch AI serves AI-optimized pages to crawlers without changing your live site, with data refreshing weekly. Profound is an enterprise marketing suite with Prompt Volumes and a long setup. Okara is an agentic tool that ships technical fixes as pull requests you approve, which suits Step 3 but does not measure Step 5.
Who should pick which
Promptwatch if you want the whole sequence in one place. The deciding factor is usually crawler logs and traffic attribution, which trackers lack.
AthenaHQ if your team will work the action queue daily and you do not need crawler analytics.
Scrunch if editing your site is slow and crawler-side serving is attractive.
Okara alongside a tracker if engineering time for technical fixes is the bottleneck.
What to do first
This week, check robots.txt and logs for the real bot names. Write twenty target prompts. Run a baseline. Next week, find the three biggest gaps and publish or refresh the pages that answer them. Next month, measure again. Small, repeated cycles beat one big push, and the data tells you which cycles are working.