# AI competitor backlink analysis: let the model sort the gap, not invent it > A model has no link index, but given real lists it can label link pages, spot unlinked mentions and draft the ask, and AI citations add a second gap. URL: https://claudegpt.si/news/ai-competitor-backlink-analysis-sorting Published: 2026-10-25T05:14:34.973Z Updated: 2026-10-26T05:14:35.574Z Author: ClaudeGPT Si Newsroom Section: AI Tools Topics: AI agents, Backlinks, AI search Publisher: ClaudeGPT Si ## Key takeaways - A chatbot without a link data source can only guess who links to a competitor. - An agent can pull real lists with seogeoaeo.ai's Backlink Finder over MCP, then use a model to label each linking page by type. - AI Citation Finder lists the 25 pages most cited by Google AI Overviews and ChatGPT for a topic, a second gap to set beside the link gap. AI competitor backlink analysis sounds like a model that finds links nobody else can see. It is not. A language model has no link index of its own, and if you ask a chatbot "who links to my competitor", any list it gives you without a data source is a guess. Where AI does help is the tedious middle of the job: sorting hundreds of linking pages by type, flagging the ones you can earn, and drafting the first email. This piece covers where the model fits, where the data has to come from, and a second kind of gap that matters for AI search. ## The data comes first A backlink gap starts with real lists: the sites linking to two or three of your rivals and the sites linking to you, all from the same index. Sites that link to two or more rivals and not to you are the leads. seogeoaeo.ai's Backlink Finder supplies those lists. For any domain it returns the 100 strongest linking sites with a link rank from 0 to 1,000, a spam score out of 100, the date of the first link seen and the share of links that are followed. It runs over REST and MCP, so Claude Code, Cursor, Codex and other MCP clients can call it directly. A run costs 70 credits, the same from an agent as from the browser, and a `maxCredits` cap stops any run above the price you set. Plans start at $29 a month for 2,000 credits. The figures are estimates from a link data provider. The tool covers whole domains, lists the strongest 100 sites rather than all of them, and does not claim to know which links Google counts. ## Where the model earns its place Once the agent has the gap list, a model is good at three things. **Classifying link pages.** Give it each linking page and ask for a label: edited directory, "best tools" roundup, resource page, guest article, news story, partner or customer page, sponsor or award page. That label decides whether you can earn the link. Roundups and resource pages often say yes. News, partner and sponsor pages mostly do not. **Finding unlinked mentions.** Ask it to scan pages that name your brand and check whether they link. A writer who already mentioned you is the easiest request you can make. **Drafting the ask.** A short note naming the page, where your link fits and one specific reason, such as a missing tool or a dead link. A human should read every draft before it goes out. What the model should never do is suggest paying for links. Google's spam policies treat buying or selling links that pass ranking credit as link spam, and that includes trading a product for a linked review. Paid placements are acceptable only with rel="sponsored" or rel="nofollow". Write that rule into the agent's instructions. ## The second gap: AI citations Links are not the only thing rivals collect. AI answers cite pages too, and some of the pages cited for your topic may be the same roundups and guides that link to your competitors. seogeoaeo.ai's AI Citation Finder (160 credits) lists, for a topic, the 25 pages cited in the most answers from Google AI Overviews and ChatGPT, with how many answers cite each one and the monthly searches behind them. Look up a site instead and it shows how many answers cite that site. It does not cover Perplexity or Gemini, and the provider tracks the questions people ask most, with far fewer on ChatGPT than on Google. Put the cited pages next to your backlink gap. A page that links to two of your rivals and is cited in AI answers for your topic is the first email to send. ## A sensible pipeline 1. Agent runs Backlink Finder on each rival and on your domain. 2. Code, not the model, computes the intersect and drops spam scores of 40 or more. 3. The model labels each remaining page by type and spots unlinked mentions. 4. AI Citation Finder adds the pages AI answers lean on for your topic. 5. A person reviews the shortlist and the drafts. If you want a gap report already built into the interface, or you run gaps across many sites every week, Semrush's Backlink Gap compares up to five sites at once and is the better tool for that. For an agent that needs clean, priced, per-domain data, [seogeoaeo.ai](https://seogeoaeo.ai) keeps the model honest by giving it real lists to work from. ## Frequently asked questions ### Can ChatGPT find my competitor's backlinks? Not reliably on its own. It needs a link data source; without one, any list is a guess. ### What should an AI agent do in backlink outreach? Label link pages, find unlinked mentions and draft short emails for a person to review. It should never offer payment for links that pass ranking credit. ## Sources - [Backlink Finder: see who links to any site](https://seogeoaeo.ai/tools/backlink-finder), seogeoaeo.ai - [seogeoaeo.ai full reference for agents](https://seogeoaeo.ai/llms-full.txt), seogeoaeo.ai - [AI Citation Finder](https://seogeoaeo.ai/tools/ai-citation-finder), seogeoaeo.ai - [seogeoaeo.ai pricing](https://seogeoaeo.ai/pricing), seogeoaeo.ai - [Spam policies for Google web search](https://developers.google.com/search/docs/essentials/spam-policies), Google Search Central - [How Backlink Gap can help you](https://www.semrush.com/kb/773-backlink-gap), Semrush - [Competitor backlinks: how to find the links you're missing](https://seogeoaeo.ai/blog/competitor-backlinks), seogeoaeo.ai