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AI Reputation

AI Reputation Management for Political Candidates & Campaigns

Artificial intelligence systems like ChatGPT, Gemini, Perplexity, and other LLMs are increasingly used by voters researching candidates.

What AI Says About You Decides Votes

If an AI answer gets your record wrong, voters believe it anyway. We treat that as something to fix now, not something to watch forever.

The Challenge: AI Misinformation About Political Figures

Voters now ask ChatGPT, Gemini, Perplexity and Claude about candidates the way they used to use a search box. The answer comes back in a confident paragraph with no byline and no fact check.

If the material those systems learned from holds old coverage, a false narrative or a misread of your record, the AI repeats it as settled fact. The voter has no way to tell the difference, and you never see the conversation happen.

How AI Systems Source Candidate Information

These systems are trained on text pulled from the open web: news coverage, Wikipedia, social posts and whatever else ranks. The answer is only as good as the sources behind it.

They also cite. If nobody is managing which pages rank for your name, the AI will quote whatever happens to sit at the top, which is why search work and AI work are the same job.

Core AI Reputation Management Strategies

Four things we do at once, because fixing one without the others does not hold.

Rank the Truth

Optimize your official record so accurate information ranks first and becomes what the AI systems cite.

Correct the Errors

Report factual mistakes through the feedback channels the AI systems actually provide, and track whether they change.

Suppress the Bad Source

Reduce the visibility of the page carrying the false claim so it stops being the thing that gets quoted.

Build Authority

Create the official bios, position statements and third-party references that AI systems treat as reliable.

AI Misinformation Correction: Finding and Fixing Errors

We run the same set of questions across every major AI system and record what each one says about you, then compare it against your actual record.

Every error gets a route: direct feedback where the system accepts it, better sources where it does not, and new authoritative content that outweighs the old material.

Search Results Cleanup and Source Authority

AI systems lean on search rankings and perceived authority. If an old article or a hit piece owns page one for your name, the AI treats it as the record.

We audit what ranks for your name, check each result for accuracy, then either fix it at the source or outrank it with something better and more current.

Deepfake and Misinformation Protection

The threat is no longer just a bad article. It is convincing fake video and audio, and coordinated pushes designed to look organic.

We watch for it, answer fast with fact checks and trusted media relationships, and get ahead of the likely false claims before they land so voters have already heard the true version first.

Why Choose Us?

Houston-Based, National Impact

We are proudly based in Houston, Texas, but our work spans from local school board elections to federal races. Whether you’re running in a small district or on a national stage, Political SEO is universal — and we know how to tailor strategies to your race.

Candidate Focused

Our only mission is to ensure voters see the truth about you, not a distorted version created by algorithms, opposition research, or outdated AI sources.

Experienced in AI-Driven SEO

One a false narrative is out on the internet it spreads and often becomes harder to correct

Frequently Asked Questions

Ask ChatGPT directly: ‘What do you know about [Candidate Name]?’ or ‘Is [Candidate] pro-[issue]?’ Try multiple phrasing variations. Different prompts may trigger different responses. Screenshot inaccurate responses so we can work to correct them.

Not directly force, but we can work to correct it through multiple channels. Most AI systems have feedback mechanisms for users to flag errors. More importantly, we ensure that the information AI systems find on the web (their training and reference sources) is accurate, which ultimately determines their responses.

Initial assessment (auditing AI system responses) takes 1-2 weeks. Corrections through feedback mechanisms may show results in days to weeks. Longer-term fixes, building authoritative content, improving search rankings, take 4-12 weeks as changes propagate through AI system updates and search ranking changes.

Pricing ranges from $3,000-$15,000+ per month depending on the extent of misinformation, number of platforms to manage, and scope of content creation required. For campaigns with significant misinformation, the investment prevents far greater damage.

We monitor for deepfakes, work with platforms to remove them, coordinate with media and fact-checkers to expose them, and help candidates build communication strategies to address them. We also work pre-emptively to build high-profile accurate content that offers inoculation against deepfake effectiveness.

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Our Blog

Read our opinions on AI and how it will impact elections and candidates